ipynb/Bike-Stats.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<div align=\"right\" style=\"text-align: right\"><i>Peter Norvig, Oct 2017<br>Last update: May 2024<br>Data update: Oct 2024</i></div>\n",
    "\n",
    "# Bicycling Statistics\n",
    "\n",
    "Bicycling is a great way to get some exercise, enjoy the outside, and go places. This notebook tracks [my cycling performance](https://www.strava.com/athletes/575579) against various goals:\n",
    "- **Distance**: I do about 6,000 miles a year.\n",
    "- **Climbing**: In 2022, I climbed to *space* (100 km of total elevation gain).\n",
    "- **Explorer Tiles**: In 2022, I started tracking the 1-mile-square [explorer tiles](https://rideeverytile.com/) I have visited.\n",
    "- **Wandering**: In 2020, I started using [Wandrer.earth](https://wandrer.earth/athletes/3534/) to track what new roads I have ridden.\n",
    "- **Eddington Number**: I've done 69 miles or more on 69 different days. So 69 is my Eddington Number.\n",
    "- **Speed**: I'm not going particularly fast, but I am interested in understanding how my speed varies with the steepness of the hill.\n",
    "\n",
    "This notebook is mostly for my own benefit, but if you're a cyclist you're welcome to adapt it to your own data, and if you're a data scientist, you might find it an interesting example of exploratory data analysis.  The companion notebook [**BikeCode.ipynb**](BikeCode.ipynb) has the implementation details."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "%run BikeCode.ipynb"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Yearly Totals\n",
    "\n",
    "Here are my overall stats for each year since I started keeping track in mid-2014. I have done 6,000 miles per year since 2016, except for 2020 when an injury kept me sidelined for two months (also, Covid). The columns keep track of the total **hours** on the bike, distance traveled in **miles**, and total **feet** climbed. Then there are some columns that are dervided from these: **mph** is **miles / hour**; **vam** is vertical meters ascended per hour (or **feet × 0.3048 / hours**); **fpmi** is **feet / miles**; **pct** is the grade in percent (or **feet × 100 / miles / 5280**), and finally **kms** and **meters** are the metric equivalents of **miles** and **feet**.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>year</th>\n",
       "      <th>hours</th>\n",
       "      <th>miles</th>\n",
       "      <th>feet</th>\n",
       "      <th>mph</th>\n",
       "      <th>vam</th>\n",
       "      <th>fpmi</th>\n",
       "      <th>pct</th>\n",
       "      <th>kms</th>\n",
       "      <th>meters</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>2023</td>\n",
       "      <td>541.68</td>\n",
       "      <td>6316</td>\n",
       "      <td>243100</td>\n",
       "      <td>11.66</td>\n",
       "      <td>137.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>0.73</td>\n",
       "      <td>10162.44</td>\n",
       "      <td>74097.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>2022</td>\n",
       "      <td>532.93</td>\n",
       "      <td>6028</td>\n",
       "      <td>362323</td>\n",
       "      <td>11.31</td>\n",
       "      <td>207.0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>1.14</td>\n",
       "      <td>9699.05</td>\n",
       "      <td>110436.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>2021</td>\n",
       "      <td>490.53</td>\n",
       "      <td>6064</td>\n",
       "      <td>196634</td>\n",
       "      <td>12.36</td>\n",
       "      <td>122.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>0.61</td>\n",
       "      <td>9756.98</td>\n",
       "      <td>59934.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>2020</td>\n",
       "      <td>438.88</td>\n",
       "      <td>5341</td>\n",
       "      <td>94777</td>\n",
       "      <td>12.17</td>\n",
       "      <td>66.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>0.34</td>\n",
       "      <td>8593.67</td>\n",
       "      <td>28888.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>2019</td>\n",
       "      <td>476.32</td>\n",
       "      <td>6016</td>\n",
       "      <td>149797</td>\n",
       "      <td>12.63</td>\n",
       "      <td>96.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>0.47</td>\n",
       "      <td>9679.74</td>\n",
       "      <td>45658.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>2018</td>\n",
       "      <td>475.93</td>\n",
       "      <td>6101</td>\n",
       "      <td>158642</td>\n",
       "      <td>12.82</td>\n",
       "      <td>102.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>0.49</td>\n",
       "      <td>9816.51</td>\n",
       "      <td>48354.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>2017</td>\n",
       "      <td>567.33</td>\n",
       "      <td>7356</td>\n",
       "      <td>202096</td>\n",
       "      <td>12.97</td>\n",
       "      <td>109.0</td>\n",
       "      <td>27.0</td>\n",
       "      <td>0.52</td>\n",
       "      <td>11835.80</td>\n",
       "      <td>61599.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>2016</td>\n",
       "      <td>486.38</td>\n",
       "      <td>6339</td>\n",
       "      <td>201453</td>\n",
       "      <td>13.03</td>\n",
       "      <td>126.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>0.60</td>\n",
       "      <td>10199.45</td>\n",
       "      <td>61403.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>2015</td>\n",
       "      <td>419.95</td>\n",
       "      <td>5452</td>\n",
       "      <td>209859</td>\n",
       "      <td>12.98</td>\n",
       "      <td>152.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>0.73</td>\n",
       "      <td>8772.27</td>\n",
       "      <td>63965.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>2014</td>\n",
       "      <td>191.03</td>\n",
       "      <td>2469</td>\n",
       "      <td>118481</td>\n",
       "      <td>12.92</td>\n",
       "      <td>189.0</td>\n",
       "      <td>48.0</td>\n",
       "      <td>0.91</td>\n",
       "      <td>3972.62</td>\n",
       "      <td>36113.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  year   hours  miles    feet    mph    vam  fpmi   pct       kms    meters\n",
       "  2023  541.68   6316  243100  11.66  137.0  38.0  0.73  10162.44   74097.0\n",
       "  2022  532.93   6028  362323  11.31  207.0  60.0  1.14   9699.05  110436.0\n",
       "  2021  490.53   6064  196634  12.36  122.0  32.0  0.61   9756.98   59934.0\n",
       "  2020  438.88   5341   94777  12.17   66.0  18.0  0.34   8593.67   28888.0\n",
       "  2019  476.32   6016  149797  12.63   96.0  25.0  0.47   9679.74   45658.0\n",
       "  2018  475.93   6101  158642  12.82  102.0  26.0  0.49   9816.51   48354.0\n",
       "  2017  567.33   7356  202096  12.97  109.0  27.0  0.52  11835.80   61599.0\n",
       "  2016  486.38   6339  201453  13.03  126.0  32.0  0.60  10199.45   61403.0\n",
       "  2015  419.95   5452  209859  12.98  152.0  38.0  0.73   8772.27   63965.0\n",
       "  2014  191.03   2469  118481  12.92  189.0  48.0  0.91   3972.62   36113.0"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "yearly"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "And here's the same data on a per day basis, assuming I ride 6 days a week, 50 weeks a year:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>year</th>\n",
       "      <th>hours</th>\n",
       "      <th>miles</th>\n",
       "      <th>feet</th>\n",
       "      <th>mph</th>\n",
       "      <th>vam</th>\n",
       "      <th>fpmi</th>\n",
       "      <th>pct</th>\n",
       "      <th>kms</th>\n",
       "      <th>meters</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>2023</td>\n",
       "      <td>1.8</td>\n",
       "      <td>21.1</td>\n",
       "      <td>810.3</td>\n",
       "      <td>11.66</td>\n",
       "      <td>137.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>0.73</td>\n",
       "      <td>33.9</td>\n",
       "      <td>247.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>2022</td>\n",
       "      <td>1.8</td>\n",
       "      <td>20.1</td>\n",
       "      <td>1207.7</td>\n",
       "      <td>11.31</td>\n",
       "      <td>207.0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>1.14</td>\n",
       "      <td>32.3</td>\n",
       "      <td>368.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>2021</td>\n",
       "      <td>1.6</td>\n",
       "      <td>20.2</td>\n",
       "      <td>655.4</td>\n",
       "      <td>12.36</td>\n",
       "      <td>122.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>0.61</td>\n",
       "      <td>32.5</td>\n",
       "      <td>199.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>2020</td>\n",
       "      <td>1.5</td>\n",
       "      <td>17.8</td>\n",
       "      <td>315.9</td>\n",
       "      <td>12.17</td>\n",
       "      <td>66.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>0.34</td>\n",
       "      <td>28.6</td>\n",
       "      <td>96.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>2019</td>\n",
       "      <td>1.6</td>\n",
       "      <td>20.1</td>\n",
       "      <td>499.3</td>\n",
       "      <td>12.63</td>\n",
       "      <td>96.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>0.47</td>\n",
       "      <td>32.3</td>\n",
       "      <td>152.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>2018</td>\n",
       "      <td>1.6</td>\n",
       "      <td>20.3</td>\n",
       "      <td>528.8</td>\n",
       "      <td>12.82</td>\n",
       "      <td>102.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>0.49</td>\n",
       "      <td>32.7</td>\n",
       "      <td>161.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>2017</td>\n",
       "      <td>1.9</td>\n",
       "      <td>24.5</td>\n",
       "      <td>673.7</td>\n",
       "      <td>12.97</td>\n",
       "      <td>109.0</td>\n",
       "      <td>27.0</td>\n",
       "      <td>0.52</td>\n",
       "      <td>39.5</td>\n",
       "      <td>205.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>2016</td>\n",
       "      <td>1.6</td>\n",
       "      <td>21.1</td>\n",
       "      <td>671.5</td>\n",
       "      <td>13.03</td>\n",
       "      <td>126.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>0.60</td>\n",
       "      <td>34.0</td>\n",
       "      <td>204.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>2015</td>\n",
       "      <td>1.4</td>\n",
       "      <td>18.2</td>\n",
       "      <td>699.5</td>\n",
       "      <td>12.98</td>\n",
       "      <td>152.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>0.73</td>\n",
       "      <td>29.2</td>\n",
       "      <td>213.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>2014</td>\n",
       "      <td>0.6</td>\n",
       "      <td>8.2</td>\n",
       "      <td>394.9</td>\n",
       "      <td>12.92</td>\n",
       "      <td>189.0</td>\n",
       "      <td>48.0</td>\n",
       "      <td>0.91</td>\n",
       "      <td>13.2</td>\n",
       "      <td>120.4</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  year  hours  miles    feet    mph    vam  fpmi   pct   kms  meters\n",
       "  2023    1.8   21.1   810.3  11.66  137.0  38.0  0.73  33.9   247.0\n",
       "  2022    1.8   20.1  1207.7  11.31  207.0  60.0  1.14  32.3   368.1\n",
       "  2021    1.6   20.2   655.4  12.36  122.0  32.0  0.61  32.5   199.8\n",
       "  2020    1.5   17.8   315.9  12.17   66.0  18.0  0.34  28.6    96.3\n",
       "  2019    1.6   20.1   499.3  12.63   96.0  25.0  0.47  32.3   152.2\n",
       "  2018    1.6   20.3   528.8  12.82  102.0  26.0  0.49  32.7   161.2\n",
       "  2017    1.9   24.5   673.7  12.97  109.0  27.0  0.52  39.5   205.3\n",
       "  2016    1.6   21.1   671.5  13.03  126.0  32.0  0.60  34.0   204.7\n",
       "  2015    1.4   18.2   699.5  12.98  152.0  38.0  0.73  29.2   213.2\n",
       "  2014    0.6    8.2   394.9  12.92  189.0  48.0  0.91  13.2   120.4"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "daily"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Climbing \n",
    "\n",
    "In 2022 my friend [A. J. Jacobs](https://ajjacobs.com/)  set a goal of **walking to space**: climbing a total elevation equal to the distance from the Earth's surface to the top of the atmoshere. [A group](https://www.facebook.com/groups/260966686136038) of about 40 of us joined the quest. The boundary of \"space\" is vague, but the [Kármán line](https://en.wikipedia.org/wiki/K%C3%A1rm%C3%A1n_line) is 100 kilometers; in 2022 I surpassed 100 kilometers of climbing (over 1,100 feet per day), but most years I'm closer to 60 kilometers (about 600 feet per day)."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "tags": []
   },
   "source": [
    "# Explorer Tiles\n",
    "\n",
    "\n",
    "The [OpenStreetMap](https://www.openstreetmap.org/) world map is divided into **[explorer tiles](https://www.statshunters.com/faq-10-what-are-explorer-tiles)** of approximately 1 mile square.  Sites like [Veloviewer](https://veloviewer.com), [Statshunter](https://www.statshunters.com/), [RideEveryTile](https://rideeverytile.com/), and [SquadRats](https://squadrats.com/map) challenge bicyclist/hikers to record which tiles they have passed through. The process is gamified to highlight the following statistics:\n",
    "- The largest **square** (an *n* × *n* array of visited tiles). \n",
    "- The maximum **cluster** (a set of contiguous interior visited tiles, where \"interior\" means surrounded by visited tiles).\n",
    "- The **total** number of visited tiles.\n",
    " \n",
    "\n",
    "Since I live on a penninsula, it is not easy for me to form a large square, and I sometimes have to work hard to connect different parts of my map into my main cluster (such as connecting San Francisco and Marin). Here are a few key points along the way:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "</style>\n",
       "<table id=\"T_b9826\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th class=\"blank level0\" >&nbsp;</th>\n",
       "      <th id=\"T_b9826_level0_col0\" class=\"col_heading level0 col0\" >date</th>\n",
       "      <th id=\"T_b9826_level0_col1\" class=\"col_heading level0 col1\" >square</th>\n",
       "      <th id=\"T_b9826_level0_col2\" class=\"col_heading level0 col2\" >cluster</th>\n",
       "      <th id=\"T_b9826_level0_col3\" class=\"col_heading level0 col3\" >total</th>\n",
       "      <th id=\"T_b9826_level0_col4\" class=\"col_heading level0 col4\" >comment</th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th id=\"T_b9826_level0_row0\" class=\"row_heading level0 row0\" ></th>\n",
       "      <td id=\"T_b9826_row0_col0\" class=\"data row0 col0\" ><a href=\"https://www.statshunters.com/?to=20240921\" rel=\"noopener noreferrer\" target=\"_blank\">09/21/2024</a></td>\n",
       "      <td id=\"T_b9826_row0_col1\" class=\"data row0 col1\" >14</td>\n",
       "      <td id=\"T_b9826_row0_col2\" class=\"data row0 col2\" >1394</td>\n",
       "      <td id=\"T_b9826_row0_col3\" class=\"data row0 col3\" >3496</td>\n",
       "      <td id=\"T_b9826_row0_col4\" class=\"data row0 col4\" ><a href=\"https://www.strava.com/activities/12470434052\" rel=\"noopener noreferrer\" target=\"_blank\">Michael J. Fox ride in Sonoma</a></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_b9826_level0_row1\" class=\"row_heading level0 row1\" ></th>\n",
       "      <td id=\"T_b9826_row1_col0\" class=\"data row1 col0\" ><a href=\"https://www.statshunters.com/?to=20240428\" rel=\"noopener noreferrer\" target=\"_blank\">04/28/2024</a></td>\n",
       "      <td id=\"T_b9826_row1_col1\" class=\"data row1 col1\" >14</td>\n",
       "      <td id=\"T_b9826_row1_col2\" class=\"data row1 col2\" >1275</td>\n",
       "      <td id=\"T_b9826_row1_col3\" class=\"data row1 col3\" >3382</td>\n",
       "      <td id=\"T_b9826_row1_col4\" class=\"data row1 col4\" ><a href=\"https://www.strava.com/activities/11287081291\" rel=\"noopener noreferrer\" target=\"_blank\">Livermore</a></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_b9826_level0_row2\" class=\"row_heading level0 row2\" ></th>\n",
       "      <td id=\"T_b9826_row2_col0\" class=\"data row2 col0\" ><a href=\"https://www.statshunters.com/?to=20240225\" rel=\"noopener noreferrer\" target=\"_blank\">02/25/2024</a></td>\n",
       "      <td id=\"T_b9826_row2_col1\" class=\"data row2 col1\" >14</td>\n",
       "      <td id=\"T_b9826_row2_col2\" class=\"data row2 col2\" >1196</td>\n",
       "      <td id=\"T_b9826_row2_col3\" class=\"data row2 col3\" >3279</td>\n",
       "      <td id=\"T_b9826_row2_col4\" class=\"data row2 col4\" ><a href=\"https://www.strava.com/activities/10838162005\" rel=\"noopener noreferrer\" target=\"_blank\">Expanding through Santa Cruz and to the South</a></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_b9826_level0_row3\" class=\"row_heading level0 row3\" ></th>\n",
       "      <td id=\"T_b9826_row3_col0\" class=\"data row3 col0\" ><a href=\"https://www.statshunters.com/?to=20240101\" rel=\"noopener noreferrer\" target=\"_blank\">01/01/2024</a></td>\n",
       "      <td id=\"T_b9826_row3_col1\" class=\"data row3 col1\" >14</td>\n",
       "      <td id=\"T_b9826_row3_col2\" class=\"data row3 col2\" >1056</td>\n",
       "      <td id=\"T_b9826_row3_col3\" class=\"data row3 col3\" >3105</td>\n",
       "      <td id=\"T_b9826_row3_col4\" class=\"data row3 col4\" >Start of this year</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_b9826_level0_row4\" class=\"row_heading level0 row4\" ></th>\n",
       "      <td id=\"T_b9826_row4_col0\" class=\"data row4 col0\" ><a href=\"https://www.statshunters.com/?to=20231208\" rel=\"noopener noreferrer\" target=\"_blank\">12/08/2023</a></td>\n",
       "      <td id=\"T_b9826_row4_col1\" class=\"data row4 col1\" >14</td>\n",
       "      <td id=\"T_b9826_row4_col2\" class=\"data row4 col2\" >1042</td>\n",
       "      <td id=\"T_b9826_row4_col3\" class=\"data row4 col3\" >3084</td>\n",
       "      <td id=\"T_b9826_row4_col4\" class=\"data row4 col4\" ><a href=\"https://www.strava.com/activities/10350071201\" rel=\"noopener noreferrer\" target=\"_blank\">Benicia ride connects East Bay and Napa clusters</a></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_b9826_level0_row5\" class=\"row_heading level0 row5\" ></th>\n",
       "      <td id=\"T_b9826_row5_col0\" class=\"data row5 col0\" ><a href=\"https://www.statshunters.com/?to=20231105\" rel=\"noopener noreferrer\" target=\"_blank\">11/05/2023</a></td>\n",
       "      <td id=\"T_b9826_row5_col1\" class=\"data row5 col1\" >14</td>\n",
       "      <td id=\"T_b9826_row5_col2\" class=\"data row5 col2\" >932</td>\n",
       "      <td id=\"T_b9826_row5_col3\" class=\"data row5 col3\" >2914</td>\n",
       "      <td id=\"T_b9826_row5_col4\" class=\"data row5 col4\" ><a href=\"https://www.strava.com/activities/8850905872\" rel=\"noopener noreferrer\" target=\"_blank\">Alum Rock ride gets 14x14 max square</a></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_b9826_level0_row6\" class=\"row_heading level0 row6\" ></th>\n",
       "      <td id=\"T_b9826_row6_col0\" class=\"data row6 col0\" ><a href=\"https://www.statshunters.com/?to=20230630\" rel=\"noopener noreferrer\" target=\"_blank\">06/30/2023</a></td>\n",
       "      <td id=\"T_b9826_row6_col1\" class=\"data row6 col1\" >13</td>\n",
       "      <td id=\"T_b9826_row6_col2\" class=\"data row6 col2\" >689</td>\n",
       "      <td id=\"T_b9826_row6_col3\" class=\"data row6 col3\" >2640</td>\n",
       "      <td id=\"T_b9826_row6_col4\" class=\"data row6 col4\" ><a href=\"https://www.strava.com/activities/9298603815\" rel=\"noopener noreferrer\" target=\"_blank\">Rides in east Bay fill in holes</a></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_b9826_level0_row7\" class=\"row_heading level0 row7\" ></th>\n",
       "      <td id=\"T_b9826_row7_col0\" class=\"data row7 col0\" ><a href=\"https://www.statshunters.com/?to=20230414\" rel=\"noopener noreferrer\" target=\"_blank\">04/14/2023</a></td>\n",
       "      <td id=\"T_b9826_row7_col1\" class=\"data row7 col1\" >13</td>\n",
       "      <td id=\"T_b9826_row7_col2\" class=\"data row7 col2\" >630</td>\n",
       "      <td id=\"T_b9826_row7_col3\" class=\"data row7 col3\" >2595</td>\n",
       "      <td id=\"T_b9826_row7_col4\" class=\"data row7 col4\" ><a href=\"https://www.strava.com/activities/8891171008\" rel=\"noopener noreferrer\" target=\"_blank\">Black Sands Beach low-tide hike connects Marin to max cluster</a></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_b9826_level0_row8\" class=\"row_heading level0 row8\" ></th>\n",
       "      <td id=\"T_b9826_row8_col0\" class=\"data row8 col0\" ><a href=\"https://www.statshunters.com/?to=20230304\" rel=\"noopener noreferrer\" target=\"_blank\">03/04/2023</a></td>\n",
       "      <td id=\"T_b9826_row8_col1\" class=\"data row8 col1\" >13</td>\n",
       "      <td id=\"T_b9826_row8_col2\" class=\"data row8 col2\" >583</td>\n",
       "      <td id=\"T_b9826_row8_col3\" class=\"data row8 col3\" >2574</td>\n",
       "      <td id=\"T_b9826_row8_col4\" class=\"data row8 col4\" ><a href=\"https://www.strava.com/activities/8654437264\" rel=\"noopener noreferrer\" target=\"_blank\">Almaden rides connects Gilroy to max cluster</a></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_b9826_level0_row9\" class=\"row_heading level0 row9\" ></th>\n",
       "      <td id=\"T_b9826_row9_col0\" class=\"data row9 col0\" ><a href=\"https://www.statshunters.com/?to=20221022\" rel=\"noopener noreferrer\" target=\"_blank\">10/22/2022</a></td>\n",
       "      <td id=\"T_b9826_row9_col1\" class=\"data row9 col1\" >13</td>\n",
       "      <td id=\"T_b9826_row9_col2\" class=\"data row9 col2\" >396</td>\n",
       "      <td id=\"T_b9826_row9_col3\" class=\"data row9 col3\" >2495</td>\n",
       "      <td id=\"T_b9826_row9_col4\" class=\"data row9 col4\" ><a href=\"https://www.strava.com/activities/8003921626\" rel=\"noopener noreferrer\" target=\"_blank\">Alviso levees to get to 13x13 max square</a></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_b9826_level0_row10\" class=\"row_heading level0 row10\" ></th>\n",
       "      <td id=\"T_b9826_row10_col0\" class=\"data row10 col0\" ><a href=\"https://www.statshunters.com/?to=20221016\" rel=\"noopener noreferrer\" target=\"_blank\">10/16/2022</a></td>\n",
       "      <td id=\"T_b9826_row10_col1\" class=\"data row10 col1\" >12</td>\n",
       "      <td id=\"T_b9826_row10_col2\" class=\"data row10 col2\" >393</td>\n",
       "      <td id=\"T_b9826_row10_col3\" class=\"data row10 col3\" >2492</td>\n",
       "      <td id=\"T_b9826_row10_col4\" class=\"data row10 col4\" ><a href=\"https://www.strava.com/activities/7974994605\" rel=\"noopener noreferrer\" target=\"_blank\">Milpitas ride connects East Bay to max cluster</a></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_b9826_level0_row11\" class=\"row_heading level0 row11\" ></th>\n",
       "      <td id=\"T_b9826_row11_col0\" class=\"data row11 col0\" ><a href=\"https://www.statshunters.com/?to=20220908\" rel=\"noopener noreferrer\" target=\"_blank\">09/08/2022</a></td>\n",
       "      <td id=\"T_b9826_row11_col1\" class=\"data row11 col1\" >11</td>\n",
       "      <td id=\"T_b9826_row11_col2\" class=\"data row11 col2\" >300</td>\n",
       "      <td id=\"T_b9826_row11_col3\" class=\"data row11 col3\" >2487</td>\n",
       "      <td id=\"T_b9826_row11_col4\" class=\"data row11 col4\" >First started tracking tiles</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x7fc4f0364ca0>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tiles"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Wandering \n",
    "\n",
    "The website [**Wandrer.earth**](https://wandrer.earth) tracks the  distinct roads a user has biked on. It provides a fun incentive to get out and explore new roads. The site is gamified in a way that there is a reward for first reaching 25% of the road-miles in each city, and further rewards for higher percentages.  (You get no credit for repeating a road you've already been on.) \n",
    "\n",
    "The wandrer.earth site does a good job of showing my current status, but it requires clicking around a bit, so I summarize it all in one place here.  Each line gives the **name** of a place (and maybe the **county** it is in), the **total** number of miles of roads and trails in the place, the number of miles I have **done**, the percentage (**pct**) done, the **badge** I have been awarded, and the number of miles to go **to next badge**, or to the next **big badge** (the big badge points are at 25% of the roads in an area (a bonus of 25%) and at 90% of the roads (a bonus of 50%)).\n",
    "\n",
    "First the big places (counties and countries, etc.), then the small places (cities and state parks, etc.)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>name</th>\n",
       "      <th>total</th>\n",
       "      <th>done</th>\n",
       "      <th>pct</th>\n",
       "      <th>badge</th>\n",
       "      <th>to next badge</th>\n",
       "      <th>to big badge</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>San Mateo County</td>\n",
       "      <td>2826.05</td>\n",
       "      <td>1,930</td>\n",
       "      <td>68.30%</td>\n",
       "      <td>50%</td>\n",
       "      <td>189 mi to 75% (472 points)</td>\n",
       "      <td>613 mi to 90% (2,026 points)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Santa Clara County</td>\n",
       "      <td>7690.85</td>\n",
       "      <td>2,783</td>\n",
       "      <td>36.18%</td>\n",
       "      <td>25%</td>\n",
       "      <td>1,063 mi to 50% (1,447 points)</td>\n",
       "      <td>4,139 mi to 90% (7,985 points)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Alameda County</td>\n",
       "      <td>5802.83</td>\n",
       "      <td>1,098</td>\n",
       "      <td>18.93%</td>\n",
       "      <td>none</td>\n",
       "      <td>352 mi to 25% (1,803 points)</td>\n",
       "      <td>352 mi to 25% (1,803 points)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Marin County</td>\n",
       "      <td>2453.18</td>\n",
       "      <td>289</td>\n",
       "      <td>11.79%</td>\n",
       "      <td>none</td>\n",
       "      <td>324 mi to 25% (937 points)</td>\n",
       "      <td>324 mi to 25% (937 points)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Santa Cruz County</td>\n",
       "      <td>2700.36</td>\n",
       "      <td>286</td>\n",
       "      <td>10.58%</td>\n",
       "      <td>none</td>\n",
       "      <td>389 mi to 25% (1,064 points)</td>\n",
       "      <td>389 mi to 25% (1,064 points)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>San Francisco County</td>\n",
       "      <td>1234.85</td>\n",
       "      <td>124</td>\n",
       "      <td>10.04%</td>\n",
       "      <td>none</td>\n",
       "      <td>185 mi to 25% (493 points)</td>\n",
       "      <td>185 mi to 25% (493 points)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Napa County</td>\n",
       "      <td>1677.57</td>\n",
       "      <td>149</td>\n",
       "      <td>8.90%</td>\n",
       "      <td>none</td>\n",
       "      <td>270 mi to 25% (689 points)</td>\n",
       "      <td>270 mi to 25% (689 points)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Sonoma County</td>\n",
       "      <td>4955.30</td>\n",
       "      <td>374</td>\n",
       "      <td>7.55%</td>\n",
       "      <td>none</td>\n",
       "      <td>865 mi to 25% (2,104 points)</td>\n",
       "      <td>865 mi to 25% (2,104 points)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Contra Costa County</td>\n",
       "      <td>5905.56</td>\n",
       "      <td>243</td>\n",
       "      <td>4.12%</td>\n",
       "      <td>none</td>\n",
       "      <td>1,233 mi to 25% (2,709 points)</td>\n",
       "      <td>1,233 mi to 25% (2,709 points)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>California</td>\n",
       "      <td>387818.83</td>\n",
       "      <td>77</td>\n",
       "      <td>0.0199%</td>\n",
       "      <td>none</td>\n",
       "      <td>0.2 mi to 0.02% (0.2 points)</td>\n",
       "      <td>96,877 mi to 25% (0.19M points)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>USA</td>\n",
       "      <td>6447239.43</td>\n",
       "      <td>82</td>\n",
       "      <td>0.0013%</td>\n",
       "      <td>none</td>\n",
       "      <td>1,208 mi to 0.02% (1,208 points)</td>\n",
       "      <td>1.6M mi to 25% (3.2M points)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Earth</td>\n",
       "      <td>45515258.11</td>\n",
       "      <td>85</td>\n",
       "      <td>0.0002%</td>\n",
       "      <td>none</td>\n",
       "      <td>9,018 mi to 0.02% (9,018 points)</td>\n",
       "      <td>11M mi to 25% (23M points)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  name        total   done      pct badge  \\\n",
       "      San Mateo County      2826.05  1,930   68.30%   50%   \n",
       "    Santa Clara County      7690.85  2,783   36.18%   25%   \n",
       "        Alameda County      5802.83  1,098   18.93%  none   \n",
       "          Marin County      2453.18    289   11.79%  none   \n",
       "     Santa Cruz County      2700.36    286   10.58%  none   \n",
       "  San Francisco County      1234.85    124   10.04%  none   \n",
       "           Napa County      1677.57    149    8.90%  none   \n",
       "         Sonoma County      4955.30    374    7.55%  none   \n",
       "   Contra Costa County      5905.56    243    4.12%  none   \n",
       "            California    387818.83     77  0.0199%  none   \n",
       "                   USA   6447239.43     82  0.0013%  none   \n",
       "                 Earth  45515258.11     85  0.0002%  none   \n",
       "\n",
       "                     to next badge                     to big badge  \n",
       "        189 mi to 75% (472 points)     613 mi to 90% (2,026 points)  \n",
       "    1,063 mi to 50% (1,447 points)   4,139 mi to 90% (7,985 points)  \n",
       "      352 mi to 25% (1,803 points)     352 mi to 25% (1,803 points)  \n",
       "        324 mi to 25% (937 points)       324 mi to 25% (937 points)  \n",
       "      389 mi to 25% (1,064 points)     389 mi to 25% (1,064 points)  \n",
       "        185 mi to 25% (493 points)       185 mi to 25% (493 points)  \n",
       "        270 mi to 25% (689 points)       270 mi to 25% (689 points)  \n",
       "      865 mi to 25% (2,104 points)     865 mi to 25% (2,104 points)  \n",
       "    1,233 mi to 25% (2,709 points)   1,233 mi to 25% (2,709 points)  \n",
       "      0.2 mi to 0.02% (0.2 points)  96,877 mi to 25% (0.19M points)  \n",
       "  1,208 mi to 0.02% (1,208 points)     1.6M mi to 25% (3.2M points)  \n",
       "  9,018 mi to 0.02% (9,018 points)       11M mi to 25% (23M points)  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "big_places"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>name</th>\n",
       "      <th>county</th>\n",
       "      <th>total</th>\n",
       "      <th>done</th>\n",
       "      <th>pct</th>\n",
       "      <th>badge</th>\n",
       "      <th>to next badge</th>\n",
       "      <th>to big badge</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Atherton</td>\n",
       "      <td>SMC</td>\n",
       "      <td>56.30</td>\n",
       "      <td>56</td>\n",
       "      <td>100%</td>\n",
       "      <td>99%</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>North Fair Oaks</td>\n",
       "      <td>SMC</td>\n",
       "      <td>26.70</td>\n",
       "      <td>27</td>\n",
       "      <td>100%</td>\n",
       "      <td>99%</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Ladera</td>\n",
       "      <td>SMC</td>\n",
       "      <td>8.10</td>\n",
       "      <td>8.1</td>\n",
       "      <td>100%</td>\n",
       "      <td>99%</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Kensington Square</td>\n",
       "      <td>SMC</td>\n",
       "      <td>0.60</td>\n",
       "      <td>0.6</td>\n",
       "      <td>100%</td>\n",
       "      <td>99%</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Los Trancos Woods</td>\n",
       "      <td>SMC</td>\n",
       "      <td>5.30</td>\n",
       "      <td>5.3</td>\n",
       "      <td>100%</td>\n",
       "      <td>99%</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Menlo Oaks</td>\n",
       "      <td>SMC</td>\n",
       "      <td>3.50</td>\n",
       "      <td>3.5</td>\n",
       "      <td>100%</td>\n",
       "      <td>99%</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Emerald Lake Hills</td>\n",
       "      <td>SMC</td>\n",
       "      <td>24.60</td>\n",
       "      <td>25</td>\n",
       "      <td>100%</td>\n",
       "      <td>99%</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Los Trancos OSP</td>\n",
       "      <td>SMC</td>\n",
       "      <td>0.30</td>\n",
       "      <td>0.3</td>\n",
       "      <td>100%</td>\n",
       "      <td>99%</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>West Menlo Park</td>\n",
       "      <td>SMC</td>\n",
       "      <td>11.20</td>\n",
       "      <td>11</td>\n",
       "      <td>100%</td>\n",
       "      <td>99%</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Foothills OS Preserve</td>\n",
       "      <td>SCC</td>\n",
       "      <td>1.10</td>\n",
       "      <td>1.1</td>\n",
       "      <td>100%</td>\n",
       "      <td>99%</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Palomar Park</td>\n",
       "      <td>SMC</td>\n",
       "      <td>4.00</td>\n",
       "      <td>4.0</td>\n",
       "      <td>100%</td>\n",
       "      <td>99%</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Portola Valley</td>\n",
       "      <td>SMC</td>\n",
       "      <td>48.20</td>\n",
       "      <td>48</td>\n",
       "      <td>100%</td>\n",
       "      <td>99%</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Windy Hill Preserve</td>\n",
       "      <td>SMC</td>\n",
       "      <td>4.10</td>\n",
       "      <td>4.1</td>\n",
       "      <td>100%</td>\n",
       "      <td>99%</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Sequoia Tract</td>\n",
       "      <td>SMC</td>\n",
       "      <td>11.00</td>\n",
       "      <td>11</td>\n",
       "      <td>100%</td>\n",
       "      <td>99%</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>East Palo Alto</td>\n",
       "      <td>SMC</td>\n",
       "      <td>48.30</td>\n",
       "      <td>48</td>\n",
       "      <td>99.97%</td>\n",
       "      <td>99%</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Menlo Park</td>\n",
       "      <td>SMC</td>\n",
       "      <td>139.50</td>\n",
       "      <td>139</td>\n",
       "      <td>99.97%</td>\n",
       "      <td>99%</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Loyola</td>\n",
       "      <td>SCC</td>\n",
       "      <td>18.30</td>\n",
       "      <td>18</td>\n",
       "      <td>99.94%</td>\n",
       "      <td>99%</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Los Altos</td>\n",
       "      <td>SCC</td>\n",
       "      <td>138.20</td>\n",
       "      <td>138</td>\n",
       "      <td>99.87%</td>\n",
       "      <td>99%</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Redwood City</td>\n",
       "      <td>SMC</td>\n",
       "      <td>240.50</td>\n",
       "      <td>240</td>\n",
       "      <td>99.66%</td>\n",
       "      <td>99%</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Stanford</td>\n",
       "      <td>SCC</td>\n",
       "      <td>82.53</td>\n",
       "      <td>82</td>\n",
       "      <td>99.66%</td>\n",
       "      <td>99%</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Palo Alto</td>\n",
       "      <td>SCC</td>\n",
       "      <td>297.20</td>\n",
       "      <td>296</td>\n",
       "      <td>99.52%</td>\n",
       "      <td>99%</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>San Carlos</td>\n",
       "      <td>SMC</td>\n",
       "      <td>99.00</td>\n",
       "      <td>99</td>\n",
       "      <td>99.51%</td>\n",
       "      <td>99%</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Mountain View</td>\n",
       "      <td>SCC</td>\n",
       "      <td>208.10</td>\n",
       "      <td>207</td>\n",
       "      <td>99.49%</td>\n",
       "      <td>99%</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Los Altos Hills</td>\n",
       "      <td>SCC</td>\n",
       "      <td>91.30</td>\n",
       "      <td>91</td>\n",
       "      <td>99.46%</td>\n",
       "      <td>99%</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Foster City</td>\n",
       "      <td>SMC</td>\n",
       "      <td>150.00</td>\n",
       "      <td>149</td>\n",
       "      <td>99.14%</td>\n",
       "      <td>99%</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Woodside</td>\n",
       "      <td>SMC</td>\n",
       "      <td>75.20</td>\n",
       "      <td>75</td>\n",
       "      <td>99.08%</td>\n",
       "      <td>99%</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Sky Londa</td>\n",
       "      <td>SMC</td>\n",
       "      <td>10.42</td>\n",
       "      <td>10</td>\n",
       "      <td>98.49%</td>\n",
       "      <td>90%</td>\n",
       "      <td>0.1 mi to 99% (1.1 points)</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Burleigh Murray Park</td>\n",
       "      <td>SMC</td>\n",
       "      <td>2.10</td>\n",
       "      <td>2.0</td>\n",
       "      <td>95.08%</td>\n",
       "      <td>90%</td>\n",
       "      <td>0.1 mi to 99% (0.3 points)</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>San Mateo Highlands</td>\n",
       "      <td>SMC</td>\n",
       "      <td>18.00</td>\n",
       "      <td>17</td>\n",
       "      <td>92.36%</td>\n",
       "      <td>90%</td>\n",
       "      <td>1.2 mi to 99% (3.0 points)</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Belmont</td>\n",
       "      <td>SMC</td>\n",
       "      <td>98.10</td>\n",
       "      <td>89</td>\n",
       "      <td>90.43%</td>\n",
       "      <td>90%</td>\n",
       "      <td>8.4 mi to 99% (18 points)</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Cupertino</td>\n",
       "      <td>SCC</td>\n",
       "      <td>172.00</td>\n",
       "      <td>131</td>\n",
       "      <td>76.32%</td>\n",
       "      <td>75%</td>\n",
       "      <td>24 mi to 90% (110 points)</td>\n",
       "      <td>24 mi to 90% (110 points)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Skyline Ridge OSP</td>\n",
       "      <td>SMC</td>\n",
       "      <td>0.80</td>\n",
       "      <td>0.6</td>\n",
       "      <td>75.41%</td>\n",
       "      <td>75%</td>\n",
       "      <td>0.1 mi to 90% (0.5 points)</td>\n",
       "      <td>0.1 mi to 90% (0.5 points)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Portola Redwoods SP</td>\n",
       "      <td>SMC</td>\n",
       "      <td>2.90</td>\n",
       "      <td>2.1</td>\n",
       "      <td>74.07%</td>\n",
       "      <td>50%</td>\n",
       "      <td>0.0 mi to 75% (0.3 points)</td>\n",
       "      <td>0.5 mi to 90% (1.9 points)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Rosie Riveter Park</td>\n",
       "      <td>CCC</td>\n",
       "      <td>5.50</td>\n",
       "      <td>4.0</td>\n",
       "      <td>73.20%</td>\n",
       "      <td>50%</td>\n",
       "      <td>0.1 mi to 75% (0.6 points)</td>\n",
       "      <td>0.9 mi to 90% (3.7 points)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Burlingame Hills</td>\n",
       "      <td>SMC</td>\n",
       "      <td>6.00</td>\n",
       "      <td>4.3</td>\n",
       "      <td>71.45%</td>\n",
       "      <td>50%</td>\n",
       "      <td>0.2 mi to 75% (0.8 points)</td>\n",
       "      <td>1.1 mi to 90% (4.1 points)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Coal Creek Preserve</td>\n",
       "      <td>SMC</td>\n",
       "      <td>3.90</td>\n",
       "      <td>2.7</td>\n",
       "      <td>68.74%</td>\n",
       "      <td>50%</td>\n",
       "      <td>0.2 mi to 75% (0.6 points)</td>\n",
       "      <td>0.8 mi to 90% (2.8 points)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Newark</td>\n",
       "      <td>ALA</td>\n",
       "      <td>147.00</td>\n",
       "      <td>100</td>\n",
       "      <td>68.00%</td>\n",
       "      <td>50%</td>\n",
       "      <td>10 mi to 75% (25 points)</td>\n",
       "      <td>32 mi to 90% (106 points)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>San Francisco Bay Trail</td>\n",
       "      <td>SCC</td>\n",
       "      <td>260.80</td>\n",
       "      <td>177</td>\n",
       "      <td>67.77%</td>\n",
       "      <td>50%</td>\n",
       "      <td>19 mi to 75% (45 points)</td>\n",
       "      <td>58 mi to 90% (188 points)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Half Moon Bay State Beach</td>\n",
       "      <td>SMC</td>\n",
       "      <td>4.40</td>\n",
       "      <td>2.9</td>\n",
       "      <td>65.89%</td>\n",
       "      <td>50%</td>\n",
       "      <td>0.4 mi to 75% (0.8 points)</td>\n",
       "      <td>1.1 mi to 90% (3.3 points)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Colma</td>\n",
       "      <td>SMC</td>\n",
       "      <td>13.70</td>\n",
       "      <td>8.9</td>\n",
       "      <td>64.79%</td>\n",
       "      <td>50%</td>\n",
       "      <td>1.4 mi to 75% (2.8 points)</td>\n",
       "      <td>3.5 mi to 90% (10 points)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Montara</td>\n",
       "      <td>SMC</td>\n",
       "      <td>27.80</td>\n",
       "      <td>17</td>\n",
       "      <td>61.15%</td>\n",
       "      <td>50%</td>\n",
       "      <td>3.9 mi to 75% (6.6 points)</td>\n",
       "      <td>8.0 mi to 90% (22 points)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Russian Ridge Preserve</td>\n",
       "      <td>SMC</td>\n",
       "      <td>12.20</td>\n",
       "      <td>7.3</td>\n",
       "      <td>59.66%</td>\n",
       "      <td>50%</td>\n",
       "      <td>1.9 mi to 75% (3.1 points)</td>\n",
       "      <td>3.7 mi to 90% (9.8 points)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Moss Beach</td>\n",
       "      <td>SMC</td>\n",
       "      <td>19.70</td>\n",
       "      <td>12</td>\n",
       "      <td>59.66%</td>\n",
       "      <td>50%</td>\n",
       "      <td>3.0 mi to 75% (5.0 points)</td>\n",
       "      <td>6.0 mi to 90% (16 points)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Sunnyvale</td>\n",
       "      <td>SCC</td>\n",
       "      <td>357.00</td>\n",
       "      <td>208</td>\n",
       "      <td>58.34%</td>\n",
       "      <td>50%</td>\n",
       "      <td>59 mi to 75% (95 points)</td>\n",
       "      <td>113 mi to 90% (292 points)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Burlingame</td>\n",
       "      <td>SMC</td>\n",
       "      <td>88.40</td>\n",
       "      <td>50</td>\n",
       "      <td>56.50%</td>\n",
       "      <td>50%</td>\n",
       "      <td>16 mi to 75% (25 points)</td>\n",
       "      <td>30 mi to 90% (74 points)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>San Mateo</td>\n",
       "      <td>SMC</td>\n",
       "      <td>256.00</td>\n",
       "      <td>140</td>\n",
       "      <td>54.64%</td>\n",
       "      <td>50%</td>\n",
       "      <td>52 mi to 75% (78 points)</td>\n",
       "      <td>91 mi to 90% (219 points)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Saratoga</td>\n",
       "      <td>SCC</td>\n",
       "      <td>180.00</td>\n",
       "      <td>97</td>\n",
       "      <td>53.84%</td>\n",
       "      <td>50%</td>\n",
       "      <td>38 mi to 75% (56 points)</td>\n",
       "      <td>65 mi to 90% (155 points)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>El Granada</td>\n",
       "      <td>SMC</td>\n",
       "      <td>49.20</td>\n",
       "      <td>26</td>\n",
       "      <td>53.71%</td>\n",
       "      <td>50%</td>\n",
       "      <td>10 mi to 75% (15 points)</td>\n",
       "      <td>18 mi to 90% (42 points)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Hillsborough</td>\n",
       "      <td>SMC</td>\n",
       "      <td>85.30</td>\n",
       "      <td>45</td>\n",
       "      <td>53.12%</td>\n",
       "      <td>50%</td>\n",
       "      <td>19 mi to 75% (27 points)</td>\n",
       "      <td>31 mi to 90% (74 points)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Monte Sereno</td>\n",
       "      <td>SCC</td>\n",
       "      <td>20.40</td>\n",
       "      <td>11</td>\n",
       "      <td>53.04%</td>\n",
       "      <td>50%</td>\n",
       "      <td>4.5 mi to 75% (6.5 points)</td>\n",
       "      <td>7.5 mi to 90% (18 points)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Millbrae</td>\n",
       "      <td>SMC</td>\n",
       "      <td>67.80</td>\n",
       "      <td>35</td>\n",
       "      <td>52.05%</td>\n",
       "      <td>50%</td>\n",
       "      <td>16 mi to 75% (22 points)</td>\n",
       "      <td>26 mi to 90% (60 points)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Los Gatos</td>\n",
       "      <td>SCC</td>\n",
       "      <td>148.00</td>\n",
       "      <td>77</td>\n",
       "      <td>52.05%</td>\n",
       "      <td>50%</td>\n",
       "      <td>34 mi to 75% (49 points)</td>\n",
       "      <td>56 mi to 90% (130 points)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Castle Rock State Park</td>\n",
       "      <td>SCC</td>\n",
       "      <td>11.20</td>\n",
       "      <td>5.7</td>\n",
       "      <td>51.20%</td>\n",
       "      <td>50%</td>\n",
       "      <td>2.7 mi to 75% (3.8 points)</td>\n",
       "      <td>4.3 mi to 90% (9.9 points)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Half Moon Bay</td>\n",
       "      <td>SMC</td>\n",
       "      <td>68.00</td>\n",
       "      <td>34</td>\n",
       "      <td>50.56%</td>\n",
       "      <td>50%</td>\n",
       "      <td>17 mi to 75% (23 points)</td>\n",
       "      <td>27 mi to 90% (61 points)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Brisbane</td>\n",
       "      <td>SMC</td>\n",
       "      <td>40.90</td>\n",
       "      <td>20</td>\n",
       "      <td>49.62%</td>\n",
       "      <td>25%</td>\n",
       "      <td>0.2 mi to 50% (2.2 points)</td>\n",
       "      <td>17 mi to 90% (37 points)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Edenvale</td>\n",
       "      <td>SCC</td>\n",
       "      <td>30.00</td>\n",
       "      <td>14</td>\n",
       "      <td>47.65%</td>\n",
       "      <td>25%</td>\n",
       "      <td>0.7 mi to 50% (2.2 points)</td>\n",
       "      <td>13 mi to 90% (28 points)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Barangaroo</td>\n",
       "      <td>NSW</td>\n",
       "      <td>1.70</td>\n",
       "      <td>0.8</td>\n",
       "      <td>47.30%</td>\n",
       "      <td>25%</td>\n",
       "      <td>0.0 mi to 50% (0.1 points)</td>\n",
       "      <td>0.7 mi to 90% (1.6 points)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Gardner</td>\n",
       "      <td>SCC</td>\n",
       "      <td>23.40</td>\n",
       "      <td>11</td>\n",
       "      <td>46.93%</td>\n",
       "      <td>25%</td>\n",
       "      <td>0.7 mi to 50% (1.9 points)</td>\n",
       "      <td>10 mi to 90% (22 points)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Long Ridge Preserve</td>\n",
       "      <td>SMC</td>\n",
       "      <td>11.00</td>\n",
       "      <td>5.0</td>\n",
       "      <td>45.10%</td>\n",
       "      <td>25%</td>\n",
       "      <td>0.5 mi to 50% (1.1 points)</td>\n",
       "      <td>4.9 mi to 90% (10 points)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Presidio Terrace</td>\n",
       "      <td>SFC</td>\n",
       "      <td>2.80</td>\n",
       "      <td>1.2</td>\n",
       "      <td>43.90%</td>\n",
       "      <td>25%</td>\n",
       "      <td>0.2 mi to 50% (0.3 points)</td>\n",
       "      <td>1.3 mi to 90% (2.7 points)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Hayward Acres</td>\n",
       "      <td>ALA</td>\n",
       "      <td>3.50</td>\n",
       "      <td>1.5</td>\n",
       "      <td>43.53%</td>\n",
       "      <td>25%</td>\n",
       "      <td>0.2 mi to 50% (0.4 points)</td>\n",
       "      <td>1.6 mi to 90% (3.4 points)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>San Lorenzo</td>\n",
       "      <td>ALA</td>\n",
       "      <td>55.50</td>\n",
       "      <td>23</td>\n",
       "      <td>40.95%</td>\n",
       "      <td>25%</td>\n",
       "      <td>5.0 mi to 50% (7.8 points)</td>\n",
       "      <td>27 mi to 90% (55 points)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Lincoln Park</td>\n",
       "      <td>SFC</td>\n",
       "      <td>4.50</td>\n",
       "      <td>1.8</td>\n",
       "      <td>39.60%</td>\n",
       "      <td>25%</td>\n",
       "      <td>0.5 mi to 50% (0.7 points)</td>\n",
       "      <td>2.3 mi to 90% (4.5 points)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Purisima Creek Preserve</td>\n",
       "      <td>SMC</td>\n",
       "      <td>16.50</td>\n",
       "      <td>6.4</td>\n",
       "      <td>39.09%</td>\n",
       "      <td>25%</td>\n",
       "      <td>1.8 mi to 50% (2.6 points)</td>\n",
       "      <td>8.4 mi to 90% (17 points)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Mt Tamalpais State Park</td>\n",
       "      <td>MAR</td>\n",
       "      <td>31.70</td>\n",
       "      <td>12</td>\n",
       "      <td>38.46%</td>\n",
       "      <td>25%</td>\n",
       "      <td>3.7 mi to 50% (5.2 points)</td>\n",
       "      <td>16 mi to 90% (32 points)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Broadmoor</td>\n",
       "      <td>SMC</td>\n",
       "      <td>8.80</td>\n",
       "      <td>3.4</td>\n",
       "      <td>38.26%</td>\n",
       "      <td>25%</td>\n",
       "      <td>1.0 mi to 50% (1.5 points)</td>\n",
       "      <td>4.6 mi to 90% (9.0 points)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>South Beach</td>\n",
       "      <td>SFC</td>\n",
       "      <td>4.80</td>\n",
       "      <td>1.8</td>\n",
       "      <td>37.40%</td>\n",
       "      <td>25%</td>\n",
       "      <td>0.6 mi to 50% (0.8 points)</td>\n",
       "      <td>2.5 mi to 90% (4.9 points)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Milpitas</td>\n",
       "      <td>SCC</td>\n",
       "      <td>224.00</td>\n",
       "      <td>84</td>\n",
       "      <td>37.36%</td>\n",
       "      <td>25%</td>\n",
       "      <td>28 mi to 50% (40 points)</td>\n",
       "      <td>118 mi to 90% (230 points)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Muir Beach</td>\n",
       "      <td>MAR</td>\n",
       "      <td>4.60</td>\n",
       "      <td>1.7</td>\n",
       "      <td>37.10%</td>\n",
       "      <td>25%</td>\n",
       "      <td>0.6 mi to 50% (0.8 points)</td>\n",
       "      <td>2.4 mi to 90% (4.7 points)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Pacifica</td>\n",
       "      <td>SMC</td>\n",
       "      <td>150.90</td>\n",
       "      <td>56</td>\n",
       "      <td>36.80%</td>\n",
       "      <td>25%</td>\n",
       "      <td>20 mi to 50% (27 points)</td>\n",
       "      <td>80 mi to 90% (156 points)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Lake Street</td>\n",
       "      <td>SFC</td>\n",
       "      <td>3.90</td>\n",
       "      <td>1.4</td>\n",
       "      <td>36.80%</td>\n",
       "      <td>25%</td>\n",
       "      <td>0.5 mi to 50% (0.7 points)</td>\n",
       "      <td>2.1 mi to 90% (4.0 points)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Spartan Keyes</td>\n",
       "      <td>SCC</td>\n",
       "      <td>64.30</td>\n",
       "      <td>24</td>\n",
       "      <td>36.59%</td>\n",
       "      <td>25%</td>\n",
       "      <td>8.6 mi to 50% (12 points)</td>\n",
       "      <td>34 mi to 90% (66 points)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Ashland</td>\n",
       "      <td>ALA</td>\n",
       "      <td>35.10</td>\n",
       "      <td>13</td>\n",
       "      <td>36.49%</td>\n",
       "      <td>25%</td>\n",
       "      <td>4.7 mi to 50% (6.5 points)</td>\n",
       "      <td>19 mi to 90% (36 points)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>San Bruno</td>\n",
       "      <td>SMC</td>\n",
       "      <td>114.00</td>\n",
       "      <td>42</td>\n",
       "      <td>36.42%</td>\n",
       "      <td>25%</td>\n",
       "      <td>15 mi to 50% (21 points)</td>\n",
       "      <td>61 mi to 90% (118 points)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Willow Glen</td>\n",
       "      <td>SCC</td>\n",
       "      <td>81.60</td>\n",
       "      <td>30</td>\n",
       "      <td>36.23%</td>\n",
       "      <td>25%</td>\n",
       "      <td>11 mi to 50% (15 points)</td>\n",
       "      <td>44 mi to 90% (85 points)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Fremont</td>\n",
       "      <td>ALA</td>\n",
       "      <td>780.20</td>\n",
       "      <td>278</td>\n",
       "      <td>35.58%</td>\n",
       "      <td>25%</td>\n",
       "      <td>113 mi to 50% (152 points)</td>\n",
       "      <td>425 mi to 90% (815 points)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Communications Hill</td>\n",
       "      <td>SCC</td>\n",
       "      <td>27.80</td>\n",
       "      <td>9.8</td>\n",
       "      <td>35.31%</td>\n",
       "      <td>25%</td>\n",
       "      <td>4.1 mi to 50% (5.5 points)</td>\n",
       "      <td>15 mi to 90% (29 points)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Santa Clara</td>\n",
       "      <td>SCC</td>\n",
       "      <td>348.00</td>\n",
       "      <td>123</td>\n",
       "      <td>35.26%</td>\n",
       "      <td>25%</td>\n",
       "      <td>51 mi to 50% (69 points)</td>\n",
       "      <td>190 mi to 90% (364 points)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>MIT</td>\n",
       "      <td>MAS</td>\n",
       "      <td>9.60</td>\n",
       "      <td>3.3</td>\n",
       "      <td>34.70%</td>\n",
       "      <td>25%</td>\n",
       "      <td>1.5 mi to 50% (1.9 points)</td>\n",
       "      <td>5.3 mi to 90% (10 points)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Millers Point</td>\n",
       "      <td>NSW</td>\n",
       "      <td>3.20</td>\n",
       "      <td>1.1</td>\n",
       "      <td>34.30%</td>\n",
       "      <td>25%</td>\n",
       "      <td>0.5 mi to 50% (0.7 points)</td>\n",
       "      <td>1.8 mi to 90% (3.4 points)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Parkview</td>\n",
       "      <td>SCC</td>\n",
       "      <td>42.50</td>\n",
       "      <td>14</td>\n",
       "      <td>34.07%</td>\n",
       "      <td>25%</td>\n",
       "      <td>6.8 mi to 50% (8.9 points)</td>\n",
       "      <td>24 mi to 90% (45 points)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Seven Trees</td>\n",
       "      <td>SCC</td>\n",
       "      <td>40.90</td>\n",
       "      <td>14</td>\n",
       "      <td>34.06%</td>\n",
       "      <td>25%</td>\n",
       "      <td>6.5 mi to 50% (8.6 points)</td>\n",
       "      <td>23 mi to 90% (43 points)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Union City</td>\n",
       "      <td>ALA</td>\n",
       "      <td>208.80</td>\n",
       "      <td>70</td>\n",
       "      <td>33.36%</td>\n",
       "      <td>25%</td>\n",
       "      <td>35 mi to 50% (45 points)</td>\n",
       "      <td>118 mi to 90% (223 points)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Hayward</td>\n",
       "      <td>ALA</td>\n",
       "      <td>444.50</td>\n",
       "      <td>148</td>\n",
       "      <td>33.24%</td>\n",
       "      <td>25%</td>\n",
       "      <td>74 mi to 50% (97 points)</td>\n",
       "      <td>252 mi to 90% (475 points)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Branham</td>\n",
       "      <td>SCC</td>\n",
       "      <td>44.00</td>\n",
       "      <td>15</td>\n",
       "      <td>33.21%</td>\n",
       "      <td>25%</td>\n",
       "      <td>7.4 mi to 50% (9.6 points)</td>\n",
       "      <td>25 mi to 90% (47 points)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Stinson Beach</td>\n",
       "      <td>MAR</td>\n",
       "      <td>11.20</td>\n",
       "      <td>3.7</td>\n",
       "      <td>32.90%</td>\n",
       "      <td>25%</td>\n",
       "      <td>1.9 mi to 50% (2.5 points)</td>\n",
       "      <td>6.4 mi to 90% (12 points)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Marin Headlands GGNRA</td>\n",
       "      <td>MAR</td>\n",
       "      <td>65.70</td>\n",
       "      <td>21</td>\n",
       "      <td>31.90%</td>\n",
       "      <td>25%</td>\n",
       "      <td>12 mi to 50% (15 points)</td>\n",
       "      <td>38 mi to 90% (71 points)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>San Martin</td>\n",
       "      <td>SCC</td>\n",
       "      <td>35.30</td>\n",
       "      <td>11</td>\n",
       "      <td>31.41%</td>\n",
       "      <td>25%</td>\n",
       "      <td>6.6 mi to 50% (8.3 points)</td>\n",
       "      <td>21 mi to 90% (38 points)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Willow Glen South</td>\n",
       "      <td>SCC</td>\n",
       "      <td>63.30</td>\n",
       "      <td>20</td>\n",
       "      <td>31.02%</td>\n",
       "      <td>25%</td>\n",
       "      <td>12 mi to 50% (15 points)</td>\n",
       "      <td>37 mi to 90% (69 points)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>South San Francisco</td>\n",
       "      <td>SMC</td>\n",
       "      <td>185.30</td>\n",
       "      <td>57</td>\n",
       "      <td>30.97%</td>\n",
       "      <td>25%</td>\n",
       "      <td>35 mi to 50% (45 points)</td>\n",
       "      <td>109 mi to 90% (202 points)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Forest of Nisene Marks SP</td>\n",
       "      <td>SCC</td>\n",
       "      <td>44.00</td>\n",
       "      <td>14</td>\n",
       "      <td>30.70%</td>\n",
       "      <td>25%</td>\n",
       "      <td>8.5 mi to 50% (11 points)</td>\n",
       "      <td>26 mi to 90% (48 points)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Campbell</td>\n",
       "      <td>SCC</td>\n",
       "      <td>119.00</td>\n",
       "      <td>36</td>\n",
       "      <td>30.48%</td>\n",
       "      <td>25%</td>\n",
       "      <td>23 mi to 50% (29 points)</td>\n",
       "      <td>71 mi to 90% (130 points)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Golden Gate Park</td>\n",
       "      <td>SFC</td>\n",
       "      <td>40.80</td>\n",
       "      <td>12</td>\n",
       "      <td>29.40%</td>\n",
       "      <td>25%</td>\n",
       "      <td>8.4 mi to 50% (10 points)</td>\n",
       "      <td>25 mi to 90% (45 points)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Seacliff</td>\n",
       "      <td>SFC</td>\n",
       "      <td>4.10</td>\n",
       "      <td>1.2</td>\n",
       "      <td>29.30%</td>\n",
       "      <td>25%</td>\n",
       "      <td>0.8 mi to 50% (1.1 points)</td>\n",
       "      <td>2.5 mi to 90% (4.5 points)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Butano State Park</td>\n",
       "      <td>SMC</td>\n",
       "      <td>15.20</td>\n",
       "      <td>4.5</td>\n",
       "      <td>29.28%</td>\n",
       "      <td>25%</td>\n",
       "      <td>3.1 mi to 50% (3.9 points)</td>\n",
       "      <td>9.2 mi to 90% (17 points)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Dawes Point</td>\n",
       "      <td>NSW</td>\n",
       "      <td>1.80</td>\n",
       "      <td>0.5</td>\n",
       "      <td>29.20%</td>\n",
       "      <td>25%</td>\n",
       "      <td>0.4 mi to 50% (0.5 points)</td>\n",
       "      <td>1.1 mi to 90% (2.0 points)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Fairview</td>\n",
       "      <td>ALA</td>\n",
       "      <td>34.40</td>\n",
       "      <td>10</td>\n",
       "      <td>29.18%</td>\n",
       "      <td>25%</td>\n",
       "      <td>7.2 mi to 50% (8.9 points)</td>\n",
       "      <td>21 mi to 90% (38 points)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Bay Area Ridge Trail</td>\n",
       "      <td>SMC</td>\n",
       "      <td>395.60</td>\n",
       "      <td>115</td>\n",
       "      <td>29.02%</td>\n",
       "      <td>25%</td>\n",
       "      <td>83 mi to 50% (103 points)</td>\n",
       "      <td>241 mi to 90% (439 points)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>San Jose</td>\n",
       "      <td>SCC</td>\n",
       "      <td>2618.70</td>\n",
       "      <td>749</td>\n",
       "      <td>28.59%</td>\n",
       "      <td>25%</td>\n",
       "      <td>561 mi to 50% (692 points)</td>\n",
       "      <td>1,608 mi to 90% (2,917 points)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Daly City</td>\n",
       "      <td>SMC</td>\n",
       "      <td>148.10</td>\n",
       "      <td>42</td>\n",
       "      <td>28.42%</td>\n",
       "      <td>25%</td>\n",
       "      <td>32 mi to 50% (39 points)</td>\n",
       "      <td>91 mi to 90% (165 points)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>San Leandro</td>\n",
       "      <td>ALA</td>\n",
       "      <td>230.60</td>\n",
       "      <td>65</td>\n",
       "      <td>28.18%</td>\n",
       "      <td>25%</td>\n",
       "      <td>50 mi to 50% (62 points)</td>\n",
       "      <td>143 mi to 90% (258 points)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Cherryland</td>\n",
       "      <td>ALA</td>\n",
       "      <td>20.90</td>\n",
       "      <td>5.8</td>\n",
       "      <td>27.97%</td>\n",
       "      <td>25%</td>\n",
       "      <td>4.6 mi to 50% (5.6 points)</td>\n",
       "      <td>13 mi to 90% (23 points)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Sausalito</td>\n",
       "      <td>MAR</td>\n",
       "      <td>32.70</td>\n",
       "      <td>9.1</td>\n",
       "      <td>27.90%</td>\n",
       "      <td>25%</td>\n",
       "      <td>7.2 mi to 50% (8.9 points)</td>\n",
       "      <td>20 mi to 90% (37 points)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Gilroy</td>\n",
       "      <td>SCC</td>\n",
       "      <td>188.90</td>\n",
       "      <td>51</td>\n",
       "      <td>26.88%</td>\n",
       "      <td>25%</td>\n",
       "      <td>44 mi to 50% (53 points)</td>\n",
       "      <td>119 mi to 90% (214 points)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>El Corte de Madera OSP</td>\n",
       "      <td>SMC</td>\n",
       "      <td>34.54</td>\n",
       "      <td>9.3</td>\n",
       "      <td>26.85%</td>\n",
       "      <td>25%</td>\n",
       "      <td>8.0 mi to 50% (9.7 points)</td>\n",
       "      <td>22 mi to 90% (39 points)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Dublin</td>\n",
       "      <td>ALA</td>\n",
       "      <td>225.94</td>\n",
       "      <td>61</td>\n",
       "      <td>26.84%</td>\n",
       "      <td>25%</td>\n",
       "      <td>52 mi to 50% (64 points)</td>\n",
       "      <td>143 mi to 90% (256 points)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Mokelumne Hill</td>\n",
       "      <td>CAL</td>\n",
       "      <td>14.70</td>\n",
       "      <td>3.9</td>\n",
       "      <td>26.80%</td>\n",
       "      <td>25%</td>\n",
       "      <td>3.4 mi to 50% (4.1 points)</td>\n",
       "      <td>9.3 mi to 90% (17 points)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Presidio National Park</td>\n",
       "      <td>SFC</td>\n",
       "      <td>43.50</td>\n",
       "      <td>12</td>\n",
       "      <td>26.70%</td>\n",
       "      <td>25%</td>\n",
       "      <td>10 mi to 50% (12 points)</td>\n",
       "      <td>28 mi to 90% (49 points)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Castro Valley</td>\n",
       "      <td>ALA</td>\n",
       "      <td>192.50</td>\n",
       "      <td>51</td>\n",
       "      <td>26.48%</td>\n",
       "      <td>25%</td>\n",
       "      <td>45 mi to 50% (55 points)</td>\n",
       "      <td>122 mi to 90% (219 points)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Guerneville</td>\n",
       "      <td>SON</td>\n",
       "      <td>22.70</td>\n",
       "      <td>5.5</td>\n",
       "      <td>24.08%</td>\n",
       "      <td>none</td>\n",
       "      <td>0.2 mi to 25% (5.9 points)</td>\n",
       "      <td>0.2 mi to 25% (5.9 points)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Mt Tamalpais Watershed</td>\n",
       "      <td>MAR</td>\n",
       "      <td>102.87</td>\n",
       "      <td>23</td>\n",
       "      <td>22.55%</td>\n",
       "      <td>none</td>\n",
       "      <td>2.5 mi to 25% (28 points)</td>\n",
       "      <td>2.5 mi to 25% (28 points)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Presidio Heights</td>\n",
       "      <td>SFC</td>\n",
       "      <td>6.50</td>\n",
       "      <td>1.4</td>\n",
       "      <td>21.60%</td>\n",
       "      <td>none</td>\n",
       "      <td>0.2 mi to 25% (1.8 points)</td>\n",
       "      <td>0.2 mi to 25% (1.8 points)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Panhandle</td>\n",
       "      <td>SFC</td>\n",
       "      <td>7.30</td>\n",
       "      <td>1.5</td>\n",
       "      <td>20.60%</td>\n",
       "      <td>none</td>\n",
       "      <td>0.3 mi to 25% (2.1 points)</td>\n",
       "      <td>0.3 mi to 25% (2.1 points)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Balboa Terrace</td>\n",
       "      <td>SFC</td>\n",
       "      <td>3.40</td>\n",
       "      <td>0.6</td>\n",
       "      <td>18.20%</td>\n",
       "      <td>none</td>\n",
       "      <td>0.2 mi to 25% (1.1 points)</td>\n",
       "      <td>0.2 mi to 25% (1.1 points)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Polk Gulch</td>\n",
       "      <td>SFC</td>\n",
       "      <td>4.00</td>\n",
       "      <td>0.7</td>\n",
       "      <td>18.20%</td>\n",
       "      <td>none</td>\n",
       "      <td>0.3 mi to 25% (1.3 points)</td>\n",
       "      <td>0.3 mi to 25% (1.3 points)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Cole Valley</td>\n",
       "      <td>SFC</td>\n",
       "      <td>1.70</td>\n",
       "      <td>0.3</td>\n",
       "      <td>18.00%</td>\n",
       "      <td>none</td>\n",
       "      <td>0.1 mi to 25% (0.5 points)</td>\n",
       "      <td>0.1 mi to 25% (0.5 points)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Bodega Bay</td>\n",
       "      <td>SON</td>\n",
       "      <td>28.90</td>\n",
       "      <td>5.0</td>\n",
       "      <td>17.23%</td>\n",
       "      <td>none</td>\n",
       "      <td>2.2 mi to 25% (9.5 points)</td>\n",
       "      <td>2.2 mi to 25% (9.5 points)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Forest Hill</td>\n",
       "      <td>SFC</td>\n",
       "      <td>6.10</td>\n",
       "      <td>1.0</td>\n",
       "      <td>15.90%</td>\n",
       "      <td>none</td>\n",
       "      <td>0.6 mi to 25% (2.1 points)</td>\n",
       "      <td>0.6 mi to 25% (2.1 points)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Northern Waterfront</td>\n",
       "      <td>SFC</td>\n",
       "      <td>5.60</td>\n",
       "      <td>0.9</td>\n",
       "      <td>15.50%</td>\n",
       "      <td>none</td>\n",
       "      <td>0.5 mi to 25% (1.9 points)</td>\n",
       "      <td>0.5 mi to 25% (1.9 points)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Aquatic Park Fort Mason</td>\n",
       "      <td>SFC</td>\n",
       "      <td>6.40</td>\n",
       "      <td>1.0</td>\n",
       "      <td>15.40%</td>\n",
       "      <td>none</td>\n",
       "      <td>0.6 mi to 25% (2.2 points)</td>\n",
       "      <td>0.6 mi to 25% (2.2 points)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Little Hollywood</td>\n",
       "      <td>SFC</td>\n",
       "      <td>3.70</td>\n",
       "      <td>0.6</td>\n",
       "      <td>15.20%</td>\n",
       "      <td>none</td>\n",
       "      <td>0.4 mi to 25% (1.3 points)</td>\n",
       "      <td>0.4 mi to 25% (1.3 points)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Clarendon Heights</td>\n",
       "      <td>SFC</td>\n",
       "      <td>6.00</td>\n",
       "      <td>0.9</td>\n",
       "      <td>14.20%</td>\n",
       "      <td>none</td>\n",
       "      <td>0.6 mi to 25% (2.1 points)</td>\n",
       "      <td>0.6 mi to 25% (2.1 points)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Fisherman's Wharf</td>\n",
       "      <td>SFC</td>\n",
       "      <td>6.20</td>\n",
       "      <td>0.9</td>\n",
       "      <td>13.80%</td>\n",
       "      <td>none</td>\n",
       "      <td>0.7 mi to 25% (2.2 points)</td>\n",
       "      <td>0.7 mi to 25% (2.2 points)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Mill Valley</td>\n",
       "      <td>MAR</td>\n",
       "      <td>92.20</td>\n",
       "      <td>12</td>\n",
       "      <td>13.43%</td>\n",
       "      <td>none</td>\n",
       "      <td>11 mi to 25% (34 points)</td>\n",
       "      <td>11 mi to 25% (34 points)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Sutro Heights</td>\n",
       "      <td>SFC</td>\n",
       "      <td>7.10</td>\n",
       "      <td>0.9</td>\n",
       "      <td>13.20%</td>\n",
       "      <td>none</td>\n",
       "      <td>0.8 mi to 25% (2.6 points)</td>\n",
       "      <td>0.8 mi to 25% (2.6 points)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Ashbury Heights</td>\n",
       "      <td>SFC</td>\n",
       "      <td>3.70</td>\n",
       "      <td>0.5</td>\n",
       "      <td>13.00%</td>\n",
       "      <td>none</td>\n",
       "      <td>0.4 mi to 25% (1.4 points)</td>\n",
       "      <td>0.4 mi to 25% (1.4 points)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Corte Madera</td>\n",
       "      <td>MAR</td>\n",
       "      <td>51.00</td>\n",
       "      <td>6.6</td>\n",
       "      <td>12.90%</td>\n",
       "      <td>none</td>\n",
       "      <td>6.2 mi to 25% (19 points)</td>\n",
       "      <td>6.2 mi to 25% (19 points)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Alameda</td>\n",
       "      <td>ALA</td>\n",
       "      <td>206.70</td>\n",
       "      <td>26</td>\n",
       "      <td>12.41%</td>\n",
       "      <td>none</td>\n",
       "      <td>26 mi to 25% (78 points)</td>\n",
       "      <td>26 mi to 25% (78 points)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Dogpatch</td>\n",
       "      <td>SFC</td>\n",
       "      <td>5.10</td>\n",
       "      <td>0.6</td>\n",
       "      <td>12.30%</td>\n",
       "      <td>none</td>\n",
       "      <td>0.6 mi to 25% (1.9 points)</td>\n",
       "      <td>0.6 mi to 25% (1.9 points)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Cow Hollow</td>\n",
       "      <td>SFC</td>\n",
       "      <td>12.00</td>\n",
       "      <td>1.4</td>\n",
       "      <td>11.90%</td>\n",
       "      <td>none</td>\n",
       "      <td>1.6 mi to 25% (4.6 points)</td>\n",
       "      <td>1.6 mi to 25% (4.6 points)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Golden Gate Heights</td>\n",
       "      <td>SFC</td>\n",
       "      <td>17.80</td>\n",
       "      <td>1.9</td>\n",
       "      <td>10.70%</td>\n",
       "      <td>none</td>\n",
       "      <td>2.5 mi to 25% (7.0 points)</td>\n",
       "      <td>2.5 mi to 25% (7.0 points)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Pacific Heights</td>\n",
       "      <td>SFC</td>\n",
       "      <td>18.00</td>\n",
       "      <td>1.9</td>\n",
       "      <td>10.70%</td>\n",
       "      <td>none</td>\n",
       "      <td>2.6 mi to 25% (7.1 points)</td>\n",
       "      <td>2.6 mi to 25% (7.1 points)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Financial District</td>\n",
       "      <td>SFC</td>\n",
       "      <td>9.40</td>\n",
       "      <td>1.0</td>\n",
       "      <td>10.20%</td>\n",
       "      <td>none</td>\n",
       "      <td>1.4 mi to 25% (3.7 points)</td>\n",
       "      <td>1.4 mi to 25% (3.7 points)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>San Ramon</td>\n",
       "      <td>ALA</td>\n",
       "      <td>306.46</td>\n",
       "      <td>29</td>\n",
       "      <td>9.36%</td>\n",
       "      <td>none</td>\n",
       "      <td>48 mi to 25% (125 points)</td>\n",
       "      <td>48 mi to 25% (125 points)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Mission Bay</td>\n",
       "      <td>SFC</td>\n",
       "      <td>13.80</td>\n",
       "      <td>1.2</td>\n",
       "      <td>8.60%</td>\n",
       "      <td>none</td>\n",
       "      <td>2.3 mi to 25% (5.7 points)</td>\n",
       "      <td>2.3 mi to 25% (5.7 points)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Berkeley</td>\n",
       "      <td>ALA</td>\n",
       "      <td>260.30</td>\n",
       "      <td>20</td>\n",
       "      <td>7.84%</td>\n",
       "      <td>none</td>\n",
       "      <td>45 mi to 25% (110 points)</td>\n",
       "      <td>45 mi to 25% (110 points)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Emeryville</td>\n",
       "      <td>ALA</td>\n",
       "      <td>28.10</td>\n",
       "      <td>2.2</td>\n",
       "      <td>7.72%</td>\n",
       "      <td>none</td>\n",
       "      <td>4.9 mi to 25% (12 points)</td>\n",
       "      <td>4.9 mi to 25% (12 points)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Pleasonton</td>\n",
       "      <td>ALA</td>\n",
       "      <td>344.91</td>\n",
       "      <td>26</td>\n",
       "      <td>7.52%</td>\n",
       "      <td>none</td>\n",
       "      <td>60 mi to 25% (147 points)</td>\n",
       "      <td>60 mi to 25% (147 points)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Albany</td>\n",
       "      <td>ALA</td>\n",
       "      <td>42.70</td>\n",
       "      <td>3.0</td>\n",
       "      <td>6.96%</td>\n",
       "      <td>none</td>\n",
       "      <td>7.7 mi to 25% (18 points)</td>\n",
       "      <td>7.7 mi to 25% (18 points)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Healdsburg</td>\n",
       "      <td>SON</td>\n",
       "      <td>56.59</td>\n",
       "      <td>3.6</td>\n",
       "      <td>6.42%</td>\n",
       "      <td>none</td>\n",
       "      <td>11 mi to 25% (25 points)</td>\n",
       "      <td>11 mi to 25% (25 points)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Cambridge</td>\n",
       "      <td>MAS</td>\n",
       "      <td>180.80</td>\n",
       "      <td>11</td>\n",
       "      <td>6.20%</td>\n",
       "      <td>none</td>\n",
       "      <td>34 mi to 25% (79 points)</td>\n",
       "      <td>34 mi to 25% (79 points)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Central Waterfront</td>\n",
       "      <td>SFC</td>\n",
       "      <td>10.20</td>\n",
       "      <td>0.6</td>\n",
       "      <td>6.00%</td>\n",
       "      <td>none</td>\n",
       "      <td>1.9 mi to 25% (4.5 points)</td>\n",
       "      <td>1.9 mi to 25% (4.5 points)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Livermore</td>\n",
       "      <td>ALA</td>\n",
       "      <td>448.52</td>\n",
       "      <td>24</td>\n",
       "      <td>5.46%</td>\n",
       "      <td>none</td>\n",
       "      <td>88 mi to 25% (200 points)</td>\n",
       "      <td>88 mi to 25% (200 points)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>San Rafael</td>\n",
       "      <td>MAR</td>\n",
       "      <td>260.00</td>\n",
       "      <td>9.6</td>\n",
       "      <td>3.70%</td>\n",
       "      <td>none</td>\n",
       "      <td>55 mi to 25% (120 points)</td>\n",
       "      <td>55 mi to 25% (120 points)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                       name county    total done     pct badge  \\\n",
       "                   Atherton    SMC    56.30   56    100%   99%   \n",
       "            North Fair Oaks    SMC    26.70   27    100%   99%   \n",
       "                     Ladera    SMC     8.10  8.1    100%   99%   \n",
       "          Kensington Square    SMC     0.60  0.6    100%   99%   \n",
       "          Los Trancos Woods    SMC     5.30  5.3    100%   99%   \n",
       "                 Menlo Oaks    SMC     3.50  3.5    100%   99%   \n",
       "         Emerald Lake Hills    SMC    24.60   25    100%   99%   \n",
       "            Los Trancos OSP    SMC     0.30  0.3    100%   99%   \n",
       "            West Menlo Park    SMC    11.20   11    100%   99%   \n",
       "      Foothills OS Preserve    SCC     1.10  1.1    100%   99%   \n",
       "               Palomar Park    SMC     4.00  4.0    100%   99%   \n",
       "             Portola Valley    SMC    48.20   48    100%   99%   \n",
       "        Windy Hill Preserve    SMC     4.10  4.1    100%   99%   \n",
       "              Sequoia Tract    SMC    11.00   11    100%   99%   \n",
       "             East Palo Alto    SMC    48.30   48  99.97%   99%   \n",
       "                 Menlo Park    SMC   139.50  139  99.97%   99%   \n",
       "                     Loyola    SCC    18.30   18  99.94%   99%   \n",
       "                  Los Altos    SCC   138.20  138  99.87%   99%   \n",
       "               Redwood City    SMC   240.50  240  99.66%   99%   \n",
       "                   Stanford    SCC    82.53   82  99.66%   99%   \n",
       "                  Palo Alto    SCC   297.20  296  99.52%   99%   \n",
       "                 San Carlos    SMC    99.00   99  99.51%   99%   \n",
       "              Mountain View    SCC   208.10  207  99.49%   99%   \n",
       "            Los Altos Hills    SCC    91.30   91  99.46%   99%   \n",
       "                Foster City    SMC   150.00  149  99.14%   99%   \n",
       "                   Woodside    SMC    75.20   75  99.08%   99%   \n",
       "                  Sky Londa    SMC    10.42   10  98.49%   90%   \n",
       "       Burleigh Murray Park    SMC     2.10  2.0  95.08%   90%   \n",
       "        San Mateo Highlands    SMC    18.00   17  92.36%   90%   \n",
       "                    Belmont    SMC    98.10   89  90.43%   90%   \n",
       "                  Cupertino    SCC   172.00  131  76.32%   75%   \n",
       "          Skyline Ridge OSP    SMC     0.80  0.6  75.41%   75%   \n",
       "        Portola Redwoods SP    SMC     2.90  2.1  74.07%   50%   \n",
       "         Rosie Riveter Park    CCC     5.50  4.0  73.20%   50%   \n",
       "           Burlingame Hills    SMC     6.00  4.3  71.45%   50%   \n",
       "        Coal Creek Preserve    SMC     3.90  2.7  68.74%   50%   \n",
       "                     Newark    ALA   147.00  100  68.00%   50%   \n",
       "    San Francisco Bay Trail    SCC   260.80  177  67.77%   50%   \n",
       "  Half Moon Bay State Beach    SMC     4.40  2.9  65.89%   50%   \n",
       "                      Colma    SMC    13.70  8.9  64.79%   50%   \n",
       "                    Montara    SMC    27.80   17  61.15%   50%   \n",
       "     Russian Ridge Preserve    SMC    12.20  7.3  59.66%   50%   \n",
       "                 Moss Beach    SMC    19.70   12  59.66%   50%   \n",
       "                  Sunnyvale    SCC   357.00  208  58.34%   50%   \n",
       "                 Burlingame    SMC    88.40   50  56.50%   50%   \n",
       "                  San Mateo    SMC   256.00  140  54.64%   50%   \n",
       "                   Saratoga    SCC   180.00   97  53.84%   50%   \n",
       "                 El Granada    SMC    49.20   26  53.71%   50%   \n",
       "               Hillsborough    SMC    85.30   45  53.12%   50%   \n",
       "               Monte Sereno    SCC    20.40   11  53.04%   50%   \n",
       "                   Millbrae    SMC    67.80   35  52.05%   50%   \n",
       "                  Los Gatos    SCC   148.00   77  52.05%   50%   \n",
       "     Castle Rock State Park    SCC    11.20  5.7  51.20%   50%   \n",
       "              Half Moon Bay    SMC    68.00   34  50.56%   50%   \n",
       "                   Brisbane    SMC    40.90   20  49.62%   25%   \n",
       "                   Edenvale    SCC    30.00   14  47.65%   25%   \n",
       "                 Barangaroo    NSW     1.70  0.8  47.30%   25%   \n",
       "                    Gardner    SCC    23.40   11  46.93%   25%   \n",
       "        Long Ridge Preserve    SMC    11.00  5.0  45.10%   25%   \n",
       "           Presidio Terrace    SFC     2.80  1.2  43.90%   25%   \n",
       "              Hayward Acres    ALA     3.50  1.5  43.53%   25%   \n",
       "                San Lorenzo    ALA    55.50   23  40.95%   25%   \n",
       "               Lincoln Park    SFC     4.50  1.8  39.60%   25%   \n",
       "    Purisima Creek Preserve    SMC    16.50  6.4  39.09%   25%   \n",
       "    Mt Tamalpais State Park    MAR    31.70   12  38.46%   25%   \n",
       "                  Broadmoor    SMC     8.80  3.4  38.26%   25%   \n",
       "                South Beach    SFC     4.80  1.8  37.40%   25%   \n",
       "                   Milpitas    SCC   224.00   84  37.36%   25%   \n",
       "                 Muir Beach    MAR     4.60  1.7  37.10%   25%   \n",
       "                   Pacifica    SMC   150.90   56  36.80%   25%   \n",
       "                Lake Street    SFC     3.90  1.4  36.80%   25%   \n",
       "              Spartan Keyes    SCC    64.30   24  36.59%   25%   \n",
       "                    Ashland    ALA    35.10   13  36.49%   25%   \n",
       "                  San Bruno    SMC   114.00   42  36.42%   25%   \n",
       "                Willow Glen    SCC    81.60   30  36.23%   25%   \n",
       "                    Fremont    ALA   780.20  278  35.58%   25%   \n",
       "        Communications Hill    SCC    27.80  9.8  35.31%   25%   \n",
       "                Santa Clara    SCC   348.00  123  35.26%   25%   \n",
       "                        MIT    MAS     9.60  3.3  34.70%   25%   \n",
       "              Millers Point    NSW     3.20  1.1  34.30%   25%   \n",
       "                   Parkview    SCC    42.50   14  34.07%   25%   \n",
       "                Seven Trees    SCC    40.90   14  34.06%   25%   \n",
       "                 Union City    ALA   208.80   70  33.36%   25%   \n",
       "                    Hayward    ALA   444.50  148  33.24%   25%   \n",
       "                    Branham    SCC    44.00   15  33.21%   25%   \n",
       "              Stinson Beach    MAR    11.20  3.7  32.90%   25%   \n",
       "      Marin Headlands GGNRA    MAR    65.70   21  31.90%   25%   \n",
       "                 San Martin    SCC    35.30   11  31.41%   25%   \n",
       "          Willow Glen South    SCC    63.30   20  31.02%   25%   \n",
       "        South San Francisco    SMC   185.30   57  30.97%   25%   \n",
       "  Forest of Nisene Marks SP    SCC    44.00   14  30.70%   25%   \n",
       "                   Campbell    SCC   119.00   36  30.48%   25%   \n",
       "           Golden Gate Park    SFC    40.80   12  29.40%   25%   \n",
       "                   Seacliff    SFC     4.10  1.2  29.30%   25%   \n",
       "          Butano State Park    SMC    15.20  4.5  29.28%   25%   \n",
       "                Dawes Point    NSW     1.80  0.5  29.20%   25%   \n",
       "                   Fairview    ALA    34.40   10  29.18%   25%   \n",
       "       Bay Area Ridge Trail    SMC   395.60  115  29.02%   25%   \n",
       "                   San Jose    SCC  2618.70  749  28.59%   25%   \n",
       "                  Daly City    SMC   148.10   42  28.42%   25%   \n",
       "                San Leandro    ALA   230.60   65  28.18%   25%   \n",
       "                 Cherryland    ALA    20.90  5.8  27.97%   25%   \n",
       "                  Sausalito    MAR    32.70  9.1  27.90%   25%   \n",
       "                     Gilroy    SCC   188.90   51  26.88%   25%   \n",
       "     El Corte de Madera OSP    SMC    34.54  9.3  26.85%   25%   \n",
       "                     Dublin    ALA   225.94   61  26.84%   25%   \n",
       "             Mokelumne Hill    CAL    14.70  3.9  26.80%   25%   \n",
       "     Presidio National Park    SFC    43.50   12  26.70%   25%   \n",
       "              Castro Valley    ALA   192.50   51  26.48%   25%   \n",
       "                Guerneville    SON    22.70  5.5  24.08%  none   \n",
       "     Mt Tamalpais Watershed    MAR   102.87   23  22.55%  none   \n",
       "           Presidio Heights    SFC     6.50  1.4  21.60%  none   \n",
       "                  Panhandle    SFC     7.30  1.5  20.60%  none   \n",
       "             Balboa Terrace    SFC     3.40  0.6  18.20%  none   \n",
       "                 Polk Gulch    SFC     4.00  0.7  18.20%  none   \n",
       "                Cole Valley    SFC     1.70  0.3  18.00%  none   \n",
       "                 Bodega Bay    SON    28.90  5.0  17.23%  none   \n",
       "                Forest Hill    SFC     6.10  1.0  15.90%  none   \n",
       "        Northern Waterfront    SFC     5.60  0.9  15.50%  none   \n",
       "    Aquatic Park Fort Mason    SFC     6.40  1.0  15.40%  none   \n",
       "           Little Hollywood    SFC     3.70  0.6  15.20%  none   \n",
       "          Clarendon Heights    SFC     6.00  0.9  14.20%  none   \n",
       "          Fisherman's Wharf    SFC     6.20  0.9  13.80%  none   \n",
       "                Mill Valley    MAR    92.20   12  13.43%  none   \n",
       "              Sutro Heights    SFC     7.10  0.9  13.20%  none   \n",
       "            Ashbury Heights    SFC     3.70  0.5  13.00%  none   \n",
       "               Corte Madera    MAR    51.00  6.6  12.90%  none   \n",
       "                    Alameda    ALA   206.70   26  12.41%  none   \n",
       "                   Dogpatch    SFC     5.10  0.6  12.30%  none   \n",
       "                 Cow Hollow    SFC    12.00  1.4  11.90%  none   \n",
       "        Golden Gate Heights    SFC    17.80  1.9  10.70%  none   \n",
       "            Pacific Heights    SFC    18.00  1.9  10.70%  none   \n",
       "         Financial District    SFC     9.40  1.0  10.20%  none   \n",
       "                  San Ramon    ALA   306.46   29   9.36%  none   \n",
       "                Mission Bay    SFC    13.80  1.2   8.60%  none   \n",
       "                   Berkeley    ALA   260.30   20   7.84%  none   \n",
       "                 Emeryville    ALA    28.10  2.2   7.72%  none   \n",
       "                 Pleasonton    ALA   344.91   26   7.52%  none   \n",
       "                     Albany    ALA    42.70  3.0   6.96%  none   \n",
       "                 Healdsburg    SON    56.59  3.6   6.42%  none   \n",
       "                  Cambridge    MAS   180.80   11   6.20%  none   \n",
       "         Central Waterfront    SFC    10.20  0.6   6.00%  none   \n",
       "                  Livermore    ALA   448.52   24   5.46%  none   \n",
       "                 San Rafael    MAR   260.00  9.6   3.70%  none   \n",
       "\n",
       "                 to next badge                    to big badge  \n",
       "                                                                \n",
       "                                                                \n",
       "                                                                \n",
       "                                                                \n",
       "                                                                \n",
       "                                                                \n",
       "                                                                \n",
       "                                                                \n",
       "                                                                \n",
       "                                                                \n",
       "                                                                \n",
       "                                                                \n",
       "                                                                \n",
       "                                                                \n",
       "                                                                \n",
       "                                                                \n",
       "                                                                \n",
       "                                                                \n",
       "                                                                \n",
       "                                                                \n",
       "                                                                \n",
       "                                                                \n",
       "                                                                \n",
       "                                                                \n",
       "                                                                \n",
       "                                                                \n",
       "    0.1 mi to 99% (1.1 points)                                  \n",
       "    0.1 mi to 99% (0.3 points)                                  \n",
       "    1.2 mi to 99% (3.0 points)                                  \n",
       "     8.4 mi to 99% (18 points)                                  \n",
       "     24 mi to 90% (110 points)       24 mi to 90% (110 points)  \n",
       "    0.1 mi to 90% (0.5 points)      0.1 mi to 90% (0.5 points)  \n",
       "    0.0 mi to 75% (0.3 points)      0.5 mi to 90% (1.9 points)  \n",
       "    0.1 mi to 75% (0.6 points)      0.9 mi to 90% (3.7 points)  \n",
       "    0.2 mi to 75% (0.8 points)      1.1 mi to 90% (4.1 points)  \n",
       "    0.2 mi to 75% (0.6 points)      0.8 mi to 90% (2.8 points)  \n",
       "      10 mi to 75% (25 points)       32 mi to 90% (106 points)  \n",
       "      19 mi to 75% (45 points)       58 mi to 90% (188 points)  \n",
       "    0.4 mi to 75% (0.8 points)      1.1 mi to 90% (3.3 points)  \n",
       "    1.4 mi to 75% (2.8 points)       3.5 mi to 90% (10 points)  \n",
       "    3.9 mi to 75% (6.6 points)       8.0 mi to 90% (22 points)  \n",
       "    1.9 mi to 75% (3.1 points)      3.7 mi to 90% (9.8 points)  \n",
       "    3.0 mi to 75% (5.0 points)       6.0 mi to 90% (16 points)  \n",
       "      59 mi to 75% (95 points)      113 mi to 90% (292 points)  \n",
       "      16 mi to 75% (25 points)        30 mi to 90% (74 points)  \n",
       "      52 mi to 75% (78 points)       91 mi to 90% (219 points)  \n",
       "      38 mi to 75% (56 points)       65 mi to 90% (155 points)  \n",
       "      10 mi to 75% (15 points)        18 mi to 90% (42 points)  \n",
       "      19 mi to 75% (27 points)        31 mi to 90% (74 points)  \n",
       "    4.5 mi to 75% (6.5 points)       7.5 mi to 90% (18 points)  \n",
       "      16 mi to 75% (22 points)        26 mi to 90% (60 points)  \n",
       "      34 mi to 75% (49 points)       56 mi to 90% (130 points)  \n",
       "    2.7 mi to 75% (3.8 points)      4.3 mi to 90% (9.9 points)  \n",
       "      17 mi to 75% (23 points)        27 mi to 90% (61 points)  \n",
       "    0.2 mi to 50% (2.2 points)        17 mi to 90% (37 points)  \n",
       "    0.7 mi to 50% (2.2 points)        13 mi to 90% (28 points)  \n",
       "    0.0 mi to 50% (0.1 points)      0.7 mi to 90% (1.6 points)  \n",
       "    0.7 mi to 50% (1.9 points)        10 mi to 90% (22 points)  \n",
       "    0.5 mi to 50% (1.1 points)       4.9 mi to 90% (10 points)  \n",
       "    0.2 mi to 50% (0.3 points)      1.3 mi to 90% (2.7 points)  \n",
       "    0.2 mi to 50% (0.4 points)      1.6 mi to 90% (3.4 points)  \n",
       "    5.0 mi to 50% (7.8 points)        27 mi to 90% (55 points)  \n",
       "    0.5 mi to 50% (0.7 points)      2.3 mi to 90% (4.5 points)  \n",
       "    1.8 mi to 50% (2.6 points)       8.4 mi to 90% (17 points)  \n",
       "    3.7 mi to 50% (5.2 points)        16 mi to 90% (32 points)  \n",
       "    1.0 mi to 50% (1.5 points)      4.6 mi to 90% (9.0 points)  \n",
       "    0.6 mi to 50% (0.8 points)      2.5 mi to 90% (4.9 points)  \n",
       "      28 mi to 50% (40 points)      118 mi to 90% (230 points)  \n",
       "    0.6 mi to 50% (0.8 points)      2.4 mi to 90% (4.7 points)  \n",
       "      20 mi to 50% (27 points)       80 mi to 90% (156 points)  \n",
       "    0.5 mi to 50% (0.7 points)      2.1 mi to 90% (4.0 points)  \n",
       "     8.6 mi to 50% (12 points)        34 mi to 90% (66 points)  \n",
       "    4.7 mi to 50% (6.5 points)        19 mi to 90% (36 points)  \n",
       "      15 mi to 50% (21 points)       61 mi to 90% (118 points)  \n",
       "      11 mi to 50% (15 points)        44 mi to 90% (85 points)  \n",
       "    113 mi to 50% (152 points)      425 mi to 90% (815 points)  \n",
       "    4.1 mi to 50% (5.5 points)        15 mi to 90% (29 points)  \n",
       "      51 mi to 50% (69 points)      190 mi to 90% (364 points)  \n",
       "    1.5 mi to 50% (1.9 points)       5.3 mi to 90% (10 points)  \n",
       "    0.5 mi to 50% (0.7 points)      1.8 mi to 90% (3.4 points)  \n",
       "    6.8 mi to 50% (8.9 points)        24 mi to 90% (45 points)  \n",
       "    6.5 mi to 50% (8.6 points)        23 mi to 90% (43 points)  \n",
       "      35 mi to 50% (45 points)      118 mi to 90% (223 points)  \n",
       "      74 mi to 50% (97 points)      252 mi to 90% (475 points)  \n",
       "    7.4 mi to 50% (9.6 points)        25 mi to 90% (47 points)  \n",
       "    1.9 mi to 50% (2.5 points)       6.4 mi to 90% (12 points)  \n",
       "      12 mi to 50% (15 points)        38 mi to 90% (71 points)  \n",
       "    6.6 mi to 50% (8.3 points)        21 mi to 90% (38 points)  \n",
       "      12 mi to 50% (15 points)        37 mi to 90% (69 points)  \n",
       "      35 mi to 50% (45 points)      109 mi to 90% (202 points)  \n",
       "     8.5 mi to 50% (11 points)        26 mi to 90% (48 points)  \n",
       "      23 mi to 50% (29 points)       71 mi to 90% (130 points)  \n",
       "     8.4 mi to 50% (10 points)        25 mi to 90% (45 points)  \n",
       "    0.8 mi to 50% (1.1 points)      2.5 mi to 90% (4.5 points)  \n",
       "    3.1 mi to 50% (3.9 points)       9.2 mi to 90% (17 points)  \n",
       "    0.4 mi to 50% (0.5 points)      1.1 mi to 90% (2.0 points)  \n",
       "    7.2 mi to 50% (8.9 points)        21 mi to 90% (38 points)  \n",
       "     83 mi to 50% (103 points)      241 mi to 90% (439 points)  \n",
       "    561 mi to 50% (692 points)  1,608 mi to 90% (2,917 points)  \n",
       "      32 mi to 50% (39 points)       91 mi to 90% (165 points)  \n",
       "      50 mi to 50% (62 points)      143 mi to 90% (258 points)  \n",
       "    4.6 mi to 50% (5.6 points)        13 mi to 90% (23 points)  \n",
       "    7.2 mi to 50% (8.9 points)        20 mi to 90% (37 points)  \n",
       "      44 mi to 50% (53 points)      119 mi to 90% (214 points)  \n",
       "    8.0 mi to 50% (9.7 points)        22 mi to 90% (39 points)  \n",
       "      52 mi to 50% (64 points)      143 mi to 90% (256 points)  \n",
       "    3.4 mi to 50% (4.1 points)       9.3 mi to 90% (17 points)  \n",
       "      10 mi to 50% (12 points)        28 mi to 90% (49 points)  \n",
       "      45 mi to 50% (55 points)      122 mi to 90% (219 points)  \n",
       "    0.2 mi to 25% (5.9 points)      0.2 mi to 25% (5.9 points)  \n",
       "     2.5 mi to 25% (28 points)       2.5 mi to 25% (28 points)  \n",
       "    0.2 mi to 25% (1.8 points)      0.2 mi to 25% (1.8 points)  \n",
       "    0.3 mi to 25% (2.1 points)      0.3 mi to 25% (2.1 points)  \n",
       "    0.2 mi to 25% (1.1 points)      0.2 mi to 25% (1.1 points)  \n",
       "    0.3 mi to 25% (1.3 points)      0.3 mi to 25% (1.3 points)  \n",
       "    0.1 mi to 25% (0.5 points)      0.1 mi to 25% (0.5 points)  \n",
       "    2.2 mi to 25% (9.5 points)      2.2 mi to 25% (9.5 points)  \n",
       "    0.6 mi to 25% (2.1 points)      0.6 mi to 25% (2.1 points)  \n",
       "    0.5 mi to 25% (1.9 points)      0.5 mi to 25% (1.9 points)  \n",
       "    0.6 mi to 25% (2.2 points)      0.6 mi to 25% (2.2 points)  \n",
       "    0.4 mi to 25% (1.3 points)      0.4 mi to 25% (1.3 points)  \n",
       "    0.6 mi to 25% (2.1 points)      0.6 mi to 25% (2.1 points)  \n",
       "    0.7 mi to 25% (2.2 points)      0.7 mi to 25% (2.2 points)  \n",
       "      11 mi to 25% (34 points)        11 mi to 25% (34 points)  \n",
       "    0.8 mi to 25% (2.6 points)      0.8 mi to 25% (2.6 points)  \n",
       "    0.4 mi to 25% (1.4 points)      0.4 mi to 25% (1.4 points)  \n",
       "     6.2 mi to 25% (19 points)       6.2 mi to 25% (19 points)  \n",
       "      26 mi to 25% (78 points)        26 mi to 25% (78 points)  \n",
       "    0.6 mi to 25% (1.9 points)      0.6 mi to 25% (1.9 points)  \n",
       "    1.6 mi to 25% (4.6 points)      1.6 mi to 25% (4.6 points)  \n",
       "    2.5 mi to 25% (7.0 points)      2.5 mi to 25% (7.0 points)  \n",
       "    2.6 mi to 25% (7.1 points)      2.6 mi to 25% (7.1 points)  \n",
       "    1.4 mi to 25% (3.7 points)      1.4 mi to 25% (3.7 points)  \n",
       "     48 mi to 25% (125 points)       48 mi to 25% (125 points)  \n",
       "    2.3 mi to 25% (5.7 points)      2.3 mi to 25% (5.7 points)  \n",
       "     45 mi to 25% (110 points)       45 mi to 25% (110 points)  \n",
       "     4.9 mi to 25% (12 points)       4.9 mi to 25% (12 points)  \n",
       "     60 mi to 25% (147 points)       60 mi to 25% (147 points)  \n",
       "     7.7 mi to 25% (18 points)       7.7 mi to 25% (18 points)  \n",
       "      11 mi to 25% (25 points)        11 mi to 25% (25 points)  \n",
       "      34 mi to 25% (79 points)        34 mi to 25% (79 points)  \n",
       "    1.9 mi to 25% (4.5 points)      1.9 mi to 25% (4.5 points)  \n",
       "     88 mi to 25% (200 points)       88 mi to 25% (200 points)  \n",
       "     55 mi to 25% (120 points)       55 mi to 25% (120 points)  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "small_places"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "As part of my wandering, in April 2022 I was able to get to 25% of every city that  rings the San Francisco Bay and is below San Francisco or  Oakland (see map [with](ring2.jpeg) or [without](ring1.jpeg) roads traveled; as soon as you get 25% of a city, it lights up with a color).\n",
    "\n",
    "I live at the border of Santa Clara County (SCC) and San Mateo County (SMC), so I ride in both. Wandrer.earth says that Jason Molenda is a whopping 1,700 miles ahead of me in SCC and Megan Gardner is 1,000 miles ahead of me in SMC. Barry Mann is the leader in total miles in the two counties, and Megan leads in average percent. Kudos to all of them! However, I do occupy a small section of the [Pareto front](https://en.wikipedia.org/wiki/Pareto_front) for the two counties together: no single rider on wandrer.earth has done more than me in *both* counties. Here are the leaders (as of December 2023), where the dotted line indicates the Pareto front."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Name</th>\n",
       "      <th>Initials</th>\n",
       "      <th>SMC %</th>\n",
       "      <th>SCC %</th>\n",
       "      <th>SMC miles</th>\n",
       "      <th>SCC miles</th>\n",
       "      <th>Total miles</th>\n",
       "      <th>Avg %</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Megan Gardner</td>\n",
       "      <td>MG</td>\n",
       "      <td>99.31</td>\n",
       "      <td>19.36</td>\n",
       "      <td>2795</td>\n",
       "      <td>1465</td>\n",
       "      <td>4260</td>\n",
       "      <td>59.335</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Barry Mann</td>\n",
       "      <td>BM</td>\n",
       "      <td>77.91</td>\n",
       "      <td>30.70</td>\n",
       "      <td>2192</td>\n",
       "      <td>2324</td>\n",
       "      <td>4516</td>\n",
       "      <td>54.305</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Peter Norvig</td>\n",
       "      <td>PN</td>\n",
       "      <td>67.14</td>\n",
       "      <td>35.45</td>\n",
       "      <td>1889</td>\n",
       "      <td>2683</td>\n",
       "      <td>4572</td>\n",
       "      <td>51.295</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Brian Feinberg</td>\n",
       "      <td>BF</td>\n",
       "      <td>36.76</td>\n",
       "      <td>45.30</td>\n",
       "      <td>1034</td>\n",
       "      <td>3429</td>\n",
       "      <td>4463</td>\n",
       "      <td>41.030</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Jason Molenda</td>\n",
       "      <td>JM</td>\n",
       "      <td>7.60</td>\n",
       "      <td>56.09</td>\n",
       "      <td>214</td>\n",
       "      <td>4245</td>\n",
       "      <td>4459</td>\n",
       "      <td>31.845</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Name Initials  SMC %  SCC %  SMC miles  SCC miles  Total miles  \\\n",
       "   Megan Gardner       MG  99.31  19.36       2795       1465         4260   \n",
       "      Barry Mann       BM  77.91  30.70       2192       2324         4516   \n",
       "    Peter Norvig       PN  67.14  35.45       1889       2683         4572   \n",
       "  Brian Feinberg       BF  36.76  45.30       1034       3429         4463   \n",
       "   Jason Molenda       JM   7.60  56.09        214       4245         4459   \n",
       "\n",
       "   Avg %  \n",
       "  59.335  \n",
       "  54.305  \n",
       "  51.295  \n",
       "  41.030  \n",
       "  31.845  "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "pareto_front(leaders)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Eddington Number\n",
    "\n",
    "The physicist/bicyclist [Sir Arthur Eddington](https://en.wikipedia.org/wiki/Arthur_Eddington), a contemporary of Einstein defined the   [**Eddington Number**](https://www.triathlete.com/2011/04/training/measuring-bike-miles-eddington-number_301789) as the largest integer **E** such that you have cycled at least **E** miles on at least **E** days.\n",
    "\n",
    "My Eddington number progress over the years, in both kilometers and miles:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>year</th>\n",
       "      <th>Ed_km</th>\n",
       "      <th>Ed_mi</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>2024</td>\n",
       "      <td>104</td>\n",
       "      <td>69</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>2023</td>\n",
       "      <td>101</td>\n",
       "      <td>67</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>2022</td>\n",
       "      <td>96</td>\n",
       "      <td>66</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>2021</td>\n",
       "      <td>93</td>\n",
       "      <td>65</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>2020</td>\n",
       "      <td>87</td>\n",
       "      <td>62</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>2019</td>\n",
       "      <td>80</td>\n",
       "      <td>56</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>2018</td>\n",
       "      <td>77</td>\n",
       "      <td>54</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>2017</td>\n",
       "      <td>73</td>\n",
       "      <td>51</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>2016</td>\n",
       "      <td>67</td>\n",
       "      <td>47</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>2015</td>\n",
       "      <td>61</td>\n",
       "      <td>42</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>2014</td>\n",
       "      <td>46</td>\n",
       "      <td>35</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  year  Ed_km  Ed_mi\n",
       "  2024    104     69\n",
       "  2023    101     67\n",
       "  2022     96     66\n",
       "  2021     93     65\n",
       "  2020     87     62\n",
       "  2019     80     56\n",
       "  2018     77     54\n",
       "  2017     73     51\n",
       "  2016     67     47\n",
       "  2015     61     42\n",
       "  2014     46     35"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Ed_progress(rides)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "My current Eddington Number is **104** in kilometers and **69** in miles (I've ridden at least 69 miles on at least 69 different days, but not 70 miles on 70 different days). My number is above [the median for Strava](https://swinny.net/Cycling/-4687-Calculate-your-Eddington-Number), but not nearly as good as Eddington himself: his number was **84** (in miles) when he died at age 62, and his roads, weather, bicycles, and navigation aids were not nearly as nice as mine, so hip hip and bravo zulu to him. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "How many more rides will I need to reach higher Eddington numbers? I call that the *Eddington Gap*:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>kms</th>\n",
       "      <th>kms gap</th>\n",
       "      <th>miles</th>\n",
       "      <th>miles gap</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>105</td>\n",
       "      <td>3</td>\n",
       "      <td>70</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>106</td>\n",
       "      <td>7</td>\n",
       "      <td>71</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>107</td>\n",
       "      <td>15</td>\n",
       "      <td>72</td>\n",
       "      <td>25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>108</td>\n",
       "      <td>19</td>\n",
       "      <td>73</td>\n",
       "      <td>32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>109</td>\n",
       "      <td>25</td>\n",
       "      <td>74</td>\n",
       "      <td>36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>110</td>\n",
       "      <td>33</td>\n",
       "      <td>75</td>\n",
       "      <td>45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>111</td>\n",
       "      <td>41</td>\n",
       "      <td>76</td>\n",
       "      <td>48</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>112</td>\n",
       "      <td>52</td>\n",
       "      <td>77</td>\n",
       "      <td>51</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>113</td>\n",
       "      <td>57</td>\n",
       "      <td>78</td>\n",
       "      <td>56</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  kms  kms gap  miles  miles gap\n",
       "  105        3     70         11\n",
       "  106        7     71         21\n",
       "  107       15     72         25\n",
       "  108       19     73         32\n",
       "  109       25     74         36\n",
       "  110       33     75         45\n",
       "  111       41     76         48\n",
       "  112       52     77         51\n",
       "  113       57     78         56"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Ed_gaps(rides)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "I need 3 rides of 105 km to increase my metric Eddington number to 105 kms, and I need 11 rides of 70 miles to increase my Imperial number. \n",
    "\n",
    "A 70 mile ride is getting somewhat long for me, so I might switch from Eddington numbers to number of metric centuries:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "126"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "count(rides.kms >= 100)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Here are some properties of Eddington numbers:\n",
    "- Your Eddington number is monotonic: it can never decrease over time. \n",
    "- To improve from an Eddington number of *n* to *n* + 1 can take as few as 1 ride, or as many as *n* + 1 rides.\n",
    "  + *Suppose you have done 9 rides, each of exactly 10 miles. Your Eddington number is 9.*\n",
    "  + *You would need 1 ride of 10 miles to improve from a number of 9 to 10.*\n",
    "  + *You would then need 11 rides of 11 miles to improve from a number 10 to 11.*\n",
    "- Your metric Eddington number will always be greater than or equal to your imperial Eddington number.\n",
    "- Your metric Eddington number will never be more than 1.61 times your  imperial Eddington number.\n",
    "- Of two riders, it is possible that one has a higher metric number and the other a higher imperial number.\n",
    "\n",
    "**Note:** the definition of Eddington Number seems precise, but what exactly does ***day*** mean? The New Oxford dictionary has three senses:\n",
    "\n",
    "1. *a period of 24 hours;*\n",
    "2. *a unit of time, reckoned from one midnight to the next;*\n",
    "3. *the part of a day when it is light.* \n",
    "\n",
    "I originally assumed sense 2, but I wanted to accept sense 1 for what [bikepackers](https://bikepacking.com/) call a [sub-24-hour overnight](https://oneofsevenproject.com/s24o-bikepacking-guide/) (S24O): a ride to a camping site in the afternoon, pitching a tent for the night, and returning back home the next morning.  And then COVID struck, the camping sites closed, so why not allow an S24O where I sleep in my own home? I realize Eddington had a lot more hardships than we have (World War I, the 1918 pandemic, and World War II, for example), but I hope he would approve of this modest accomodation on my part."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Hill-Index: Speed versus Grade on Short Climbs\n",
    "\n",
    "The Eddington number reminds me of the [**h-index**](https://en.wikipedia.org/wiki/H-index) metric for scientific publications. I invented another metric:\n",
    "\n",
    "> *Your **hill-index** is the maximum integer **h** where you can regularly climb an **h** percent grade at **h** miles per hour.*\n",
    "\n",
    "I'll plot grade versus speed for segments (not rides) with two best-fit curves: a blue quadratic and an orange cubic. I'll also superimpose a red dotted line where grade = speed."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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A9wDMnz/fmDNnjrzi+qC8vJyMjAxWrlwJQFtbGwBlZWXDWoeTqaioYLi3666E9isP7VYu2q9ctF95aLdyibff4Vw9YzIwEfhKCLERGAt8KYQoHmpwVVXVUCOGFVn1qpYrC9U8aL/ycrVbNXNloZoH7Ve7tVDNg1P9DttMs2EY3wAjrd9DA+f5hmHUDzW7pKRkqBE7UVZWRkVFhZQZZhn1qpgrC9U8aL/ycrVbNXNloZoH7Ve7tVDNg1P9ylxy7nHgY2C6EGKLEOJSWc/l1Hc0Ts+VhWoetF95udqtmrmyUM2D9qvdWqjmwal+pc00G4Zx7iC3T7DruWS+o5FxDLNq7+yc+o7R6bmyUMmDdqtmrixU86D9arcWqnlwql9HnBGwtrY23iVEhax6VcuVhWoetF95udqtmrmyUM2D9qvdWqjmwal+HTFoLiwsjHcJUSGrXtVyZaGaB+1XXq52q2auLFTzoP1qtxaqeXCqX0cMmpuamuJdQlTIqle1XFmo5kH7lZer3aqZKwvVPGi/2q2Fah6c6tcRg+bMzMx4lxAVsupVLVcWqnnQfuXlardq5spCNQ/ar3ZroZoHp/p1xKC5s7Mz3iVEhax6VcuVhWoetF95udqtmrmyUM2D9qvdWqjmwal+HTFoTkoa1rOBDxlZ9aqWKwvVPGi/8nK1WzVzZaGaB+1Xu7VQzYNT/Tpi0LyrUV5eTnl5ebzL0Gg0Go1Go9llSOhBsxBigRDiHo/HQ1tbGy0tLTQ3N9Pe3o7H48Hv91NXV4ff76e6uhrYsUB1dXU1hmF03+7xeGhvb6e5uZmWlhba2tpobGzE5/NRX19PMBikpqamV4Z1NsDa2loCgQANDQ10dHTQ1NSE1+vF6/XS1NRER0cHDQ0NBAKB7mVLrAzruqamhmAwSH19Pe3t7TQ2Ng7YJsMw+m2T9Y4ovE2tra2Dtsm6trtNPp9vSG0aynYarjY1NjZKaZPP55PSJqv/2r2dOjo6pGynlpYW2/teR0eHlL5nubW77/XsE3a+nhobGxPu9eSkfURra6uUNrW3t0tpU3j/tWs79fyfbNd2amtrk9L3vF6vlL4X7tauvhcIBJR6PW3fvl2pfYSVabWpP4RhGP3emCjMnz/fWLp0ab+3d3R0kJaWZvvzVlRUMGfOHNtzY63Xml2urKwEoLS0FNhxAhZZHnYVv07L1X61W1VztV+5uSr51W5NVPOgul8hxBeGYcwPv19CzzRHitfrjXcJUSGrXtVyZaGaB+1XXq52q2auLFTzoP1qtxaqeXCqX7WO1O6H3NzceJcQFbHWa80oWzPO4af4luVhV/HrtFxZqORBu1UzVxaqedB+tVsL1Tw41a8jZpobGhriXUJUyKpXtVxZqOZB+5WXq92qmSsL1Txov9qthWoenOrXETPNo0aNincJUTHUesNnmO3K7Y9dza9TcmWhkgftVs1cWajmQfvVbi1U8+BUv46Yaba+/agKsuqNJjeaZeu0XzVzZaGSB+1WzVxZqOZB+9VuLVTz4FS/jhg0l5SUxLuEqJBVr2q5slDNg/YrL1e7VTNXFqp50H61WwvVPDjVryMGzU59RyMj15phrqyspLKyMqIZZ+1XzVxZqORBu1UzVxaqedB+tVsL1Tw41a8jBs1OfUfj9FxZqOZB+5WXq92qmSsL1Txov9qthWoenOrXEYNm68wuqiCr3khyy8rKKCsro7S0lNLS0u7fh5qbSMTTbyLlykIlD9qtmrmyUM2D9qvdWqjmwal+HTFoHjlyZLxLiApZ9aqWKwvVPGi/8nK1WzVzZaGaB+1Xu7VQzYNT/Sb0oFkIsUAIcY/H4xnwXOQNDQ1SzkVunUN+qOeMh97nV6+trZVyfvWqqqqIzxl//PHHc8EFF0TUpnXr1g3apnieM966trbTxo0bbdlO4W3avHmzlDbV19cP2qZY+p7Vf+3eTnV1dbZsp/A2bd261Zbt1LNNVr129z3LrR3bqWebrP5g9+tp8+bNtm2nnm3auHGjLdtpuPYR69ats3VfbrWpqqpKSptqa2tt2U7hbQrvv3Ztp4aGBlv35Q0NDdTU1Ni+L29ubqa6ulpK3wt3a9c+wuPxSHk9VVZW2r4v93q9bNq0ydZ9uex9xJo1a3q1qT+EYRj93pgozJ8/31i6dGm/t/t8PlJSUmx/3oqKCioqKoD+10aOBVn1qpYr6xzyqnnQfuXlardq5mq/cnNV8qvdmqjmQXW/QogvDMOYH36/hJ5pjhTrnZ0qyKpXtVxZqOZB+5WXq92qmSsL1Txov9qthWoenOrXEWcElPFupry8nIyMDCorK7t/B3tmnGXUq2KuLFTzoP3Ky9Vu1cyVhWoetF/t1kI1D07164iZ5q6urniXEBWy6lUtVxaqedB+5eVqt2rmykI1D9qvdmuhmgen+nXETLOM47LLysqoqKjonrK385hmWceRq5YrC9U8aL/ycrVbNXNloZoH7Ve7tVDNg1P9OmLQnJycHO8SImLRokUAXH311VLyZXlQxa+Fah60X3m52q2aubJQzYP2q91aqObBqX4dcXhGe3u7tOxITv4RLVa9kZzCOpZcu5HpVwaqedB+5eVqt2rmykI1D9qvdmuhmgen+nXETHN2dna8SxgQa4a5s7MTgPvuu49gMEhxcbGtzyPLQ6L7DUc1D9qvvFztVs1cWajmQfvVbi1U8+BUv46Yad6+fXu8S4iKpKQkfD4flZWVVFZW2jbjLMuDan5V86D9ysvVbtXMlYVqHrRf7dZCNQ9O9euIQfOIESPkhXc0Q9WyIUUsXLiQhQsXkpqaSmpqKgUFBYwfP96mAncgy4NUvxJQzYP2Ky9Xu1UzVxaqedB+tVsL1Tw41a8jBs3W6RCl8OJP4OFTwbPBtshjjz2WsrIySktLKS0tte24aVkepPqVgGoetF95udqtmrmyUM2D9qvdWqjmwal+HXFM8+jRo+WFH3UD3HsEPH4uXPYGpMZ+nM7ChQvtq6sPZHmQ6lcCqnnQfuXlardq5spCNQ/ar3ZroZoHp/pN6JlmIcQCIcQ9Ho+HtrY2WlpaaG5upr29HY/Hg9/vp66ujq1bt1JdXQ1AVVUVANXV1RiGQV1dHX6/H4/HQ3t7O83NzbS0tNDW1kZjYyM+n4/6+nqCwWD3Ow0ro62tDQomsf2oWzHqV+N74mI62ttoamrC6/Xi9Xppamqio6ODhoYGAoEAtbW1vTKs65qaGoLBIPX19WzatInGxkbOOussTj/99D7bZBhG1G3asGHDoG2yrmtrawkEAjQ0NNDR0TFgm1auXDlom3w+H42NjQNup1jaFMl2Cm/TqlWrBm1TJNspvE1r166V0qYtW7bYsp3C22StMW73dtq0aZMt2ym8TevXr7dlO/Vs06ZNm6T0PcutHdupZ5u2bNki5fW0du1a27ZTzzatWrXKlu00XPuIlStX2rKdwtu0YcMGKW3atGmTrftyq03h/deu7bR161Zb9+UNDQ1UVlbavi9vbm5m48aNUvpeuFu79hFVVVVSXk+rV6+2fV/u9XpZu3atrfty2fuI5cuX92pTfwgVFqCeP3++sXTp0mF/3oqKCubMmWP+8sm/4X8L4ZBfwRHXD3stTqSXX43taL/y0G7lov3KRfuVh3Yrl+HyK4T4wjCM+eF/T+iZ5kix3nVIZd8rYc4F8P7/g2//O6QoWfWqlisL1Txov/JytVs1c2WhmgftV7u1UM2DU/06YtBs93rHfSIEnPh3GLsPPP8jqP465ihZ9cYj1+4TtNiBk/wmIip50G7VzJWFah60X+3WQjUPTvXriEHztm3bhueJklLh7EcgLQ+eOB+89THFyKpXtVxZqOZB+5WXq92qmSsL1Txov9qthWoenOrXEatn5OfnD9+TZY+Ccx6FB46Hpy6E7z8PSSlRRciqdzhzrdnlysrKXr/bfcrxWHCC30RGJQ/arZq5slDNg/ar3Vqo5sGpfh0x09zS0jK8TzhmLzjpDqj8EF65FqL8MqWseltaWli0aFH3abvtzFUJmX5VypWFSh60WzVzZaGaB+1Xu7VQzYNT/Tpipjk9PX34n3T2mbDtO1hyM4yYDgdcFfFDZdU7nLnWjHIizTBbOMFvIqOSB+1WzVxZqOZB+9VuLVTz4FS/jphp9vv98Xniw6+HmSfD67+DVf+L+GEy6l20aBF33XUXnZ2ddHZ22jrjHDe/MSKrXtVyZaGSB+1WzVxZqOZB+9VuLVTz4FS/0maahRD/AU4E6gzDmBX629+ABYAPWAdcbBhGow3PNdSI2HC54JS7YHslPHspXPIaFM8a9GGy6pW15vZA9SbSDLOFLL+JlhuvWf5E8zDcmTJRya3MXFmo5kH71W4tVPPgVL8yZ5rLgePC/vYGMMswjNnAauA6O57I7XbbERMbKRlw7uPm6bUfPwda6wZ9iIx6Fy5cyJVXXklqaiqpqaksXLjQttN2x9VvDMiqV7VcWajkQbtVM1cWqnnQfrVbC9U8ONWvtEGzYRjvA56wv71uGIZ1fsJPgLF2PJfP57MjJnZySsyBs7feXIrO3zHg3WXVq1quLFTzEG2utTZ2ZWUllZWVw75WdqJ4iFemTFRyKzNXFqp50H61WwvVPDjVr9TTaAshJgAvW4dnhN32EvCkYRiP9PPYy4HLAUaPHj1v8eLF/T5PMBjE5bJ//N/Q0EBhYWHE98+tep+Jn/0Oz9ij2DTvt+YJUfpAVr2q5UbrN1JU8xBt7urVq4Ed3/bNzs4GYNq0ab3up/3qvqtqrvYrN1clv9qtiWoeVPc7d+7cPk+jjWEY0i7ABGB5H3+/HvgvoUH7YJd58+YZA7Ft27YBb4+VZcuWRf+g9/5mGL/PMYy3/9LvXWTVq1puTH4jQDUPseY+8MADxgMPPNDv7dqv7ruq5mq/cnNV8qvdmqjmQXW/wFKjj/HosC85J4S4CPMLgkeGChsyBQUFdsTYw8E/B896eG8R5E+AOefudBdZ9aqWKwvVPGi/8nK1WzVzZaGaB+1Xu7VQzYNT/Q7rknNCiOOAXwMnGYbRZlduXd3gX74bNoSAE/8BEw+BF6+CDUt2uouselXLlYVqHmLNLSsri8vqJYnmYbgzZaKSW5m5slDNg/ar3Vqo5sGpfqUNmoUQjwMfA9OFEFuEEJcCdwDZwBtCiAohxF12PFdxcbEdMfaRlAJnPQwFk+DJ82Hb6l43y6pXtVxZqOZB+5WXq92qmSsL1Txov9qthWoenOpX5uoZ5xqGMdowjGTDMMYahnG/YRhTDMMYZxjGnNDlSjueq6qqyo4Ye0nPg/OfBncKPHoGtG7rvklWvarlykI1D9qvvFztVs1cWajmQfvVbi1U8+BUv444I2BJSYnU/JgPvc4vhXOfNNdufuJc8LcD8upVLVcWqnnQfuXlardq5spCNQ/ar3ZroZoHp/p1xKBZ5juaxz7dxDVPVtDu64otYOw8OP1e2LIUnrscgkHl3tk59R2j03NloZIH7VbNXFmo5kH71W4tVPPgVL+OGDTLfEfT3OHnxa+qOP3fH7HZE+N3F3dbAMf8GVa+CG/8Trl3dk59x+j0XFmo5EG7VTNXFqp50H61WwvVPDjVryMGzbW1tdKyrzx0Mv8p25st29tYcMcHLFmzbfAH9cX+P4Z9roCP76Dl9UX2FhlClgeZfmWgmgftV16udqtmrixU86D9arcWqnlwql9HDJplnB2mJ4dPH8mLPzmIUdlpXPSfz7jrvXXRH+csBBx3E+x2Etkf3QTLn7O9TlkeZPu1G9U8aL/ycrVbNXNloZoH7Ve7tVDNg1P9OmLQ3NTUJP05JhRl8tyPDuD4PUaz6NXv+Mnjy2jzBaILcbnhtHvxj54P/70CNn5ga42yPAyHXztRzYP2Ky9Xu1UzVxaqedB+tVsL1Tw41a8jBs2ZmZnD8zypSdxx7lyuO34Gr35Tzal3fsSGem90IclpdJ31CORPhMfPg9oV9tUXhYfy8nLKy8ttz00EZNWrWq4sVPKg3aqZKwvVPGi/2q2Fah6c6jehB81CiAVCiHs8Hg9tbW20tLTQ3NxMe3s7Ho8Hv99PXV0dHR0dVFdXAzu+AVldXY1hGNTV1eH3+/F4PLS3t9Pc3ExLSwttbW00Njbi8/mor68nGAxSU1PTK6OtzfziX21tLYFAgIaGBjo7OzlnThF3nzeb2uZ2TvrnEhZ/tZmGhgYCgUD3cTFWhnVdU1NDMBikvr6e1q5kmk76D8GkNIIPn0bL1lU7tckwjKjb1NTUNGibrOukJPMM6g0NDXR0dNDU1ITX68Xr9dLU1ERHR0d3m8If21ebfD4fjY2NA26nWNoUyXayrq3tZPWJgdoUyXYKb1NDQ4OUNrW3tw/apki2U3ibrP5r93byer22bKfwNjU2NtqynXq2yev1Sul7lls7tlPPNrW3t0t5PTU0NNi2nXq2qa6uzpbtNFz7iKqqKlu2U3ibmpqapLSptbXVlu0U3qbw/mvXdrL6hF37cqvf2r0vb25uprm5WUrfC3dr1z6is7NTyutp27Zttu/LvV4v9fX1tu7LZe8jtmzZ0qtN/SFiXoN4GJk/f76xdOnSfm/3er1S3tVUVFQwZ86cfm/fsr2NHz7yJd9sbeKqI6ZwzVHTcLvEoLnd9dZ8A/85HvLGwcWvmidEGQKReLBmlysrKwEoLS0FGPB0zPHyGyuy6lUtV/vVblXN1X7l5qrkV7s1Uc2D6n6FEF8YhjE//H4JPdOc6IzNz+DpK/fnrPlj+efba7mk/HMa23yRBxTvAec8AvVr4Inzuk9+otFoNBqNRqNJLBwxaB5oKl02aclu/nr6bP5y6h58tK6eBXd8wPKtAx9Q3qveSYfBqXdB5UfwzKXQFXtbIvFQVlZGWVkZpaWllJaWdv8+1NxEQla9quXKQiUP2q2aubJQzYP2q91aqObBqX4dMWhOTU2N6/MLIThv3/E8dcX++AMGp//7I55eurnf++9U7x5nwPF/hVWvwMtXQ4yHzMjyEG+/0aKaB+1XXq52q2auLFTzoP1qtxaqeXCqX0cMmr3eKFewkMTc8fm8/NODmFeazy+f+ZrrnvuaDv/Op9/us959r4BDfgXLHoG3/jDg8/S38kU0HiKZYY4lNxGQVa9qubJQyYN2q2auLFTzoP1qtxaqeXCqX0cMmnNzc+NdQjdFWak8dMk+/PCwyTz+2WbOvOvjnU6/3W+9h/8G5l0MH9wKH98Z9XPL8pBIfiNBNQ/ar7xc7VbNXFmo5kH71W4tVPPgVL+OGDQ3NDTEu4ReJLld/Pq4Gdzz/XlsrPey4I4PeHdVXfft/dYrBHzvFph5Mrz2G/jqyV43WzPMlZWVVFZW7jTjLMtDovkdDNU8aL/ycrVbNXNloZoH7Ve7tVDNg1P9OmLQPGrUqHiX0CfH7F7MS1cdRHFOGheXf84/3lxNMGgMXG/orIFMPARe+BGsfi3i55PlIVH99odqHrRfebnarZq5slDNg/ar3Vqo5sGpfh0xaLYWp05EJhRl8t8fHcipc8bwjzfXUFb+OSvWbRr4QUmpcM5jMGoWPHVh9+m2B1v5QpaHRPG7aNEiFi1aNOj9httDNGdXjCY3UVGpn2m3aubKQjUP2q92a6GaB6f6dcSguaSkJN4lDEh6iptbztqTG0+dxSfrGrj0qTV8uWn7wA9KzYYLnoO8UnjsHNj65aDPI8tDovsNRzUP2q+8XO1WzVxZqOZB+9VuLVTz4FS/jhg0q/CORgjB+fuW8uwPDwAjyNl3f0z5hxsY8IyMmYVw4fOQUQCPnAZ1K4H+V75w6jtGa4a5s7OTzs7OQWech8vDYMeYx5qb6KjUz7RbNXNloZoH7Ve7tVDNg1P9JvSgWQixQAhxj8fjGfBc5KNHj5ZyLnLrHPJDPWc87Di/+ug0Py/++AAOmJjHDS+t4MqHPqd6m6f/86vnlFB73L3gTqWrfAGGZ0O/bcrLy7PlnPHhbXK73QO2SfY549PS0nC73WRlZSGEICsra8A2paamDnk79dWmrKysXm1KSkoCdnzrNjk5Oaa+V1xcbMt2Cm+T1X/t3k4jRoyI6fU0WJtyc3Nt2U492zRixIgh9b3+2mS5tWM79WxTcXGxlNdTVlaWbdupZ5tSU1Nt2U5D3UdE2ia3223bvrxnm/Ly8qS0qaioyNZ9udWm8P5r13YaPXq0LdupZ5sKCgps35c3NzeTn58vpe+Fu7VrH1FSUiLl9ZSWlmb7vtw6JbWd+3LZ+wgLq039YhhGwl/mzZtnDER1dfWAt8fKsmXLpORWV1cbXV1B49/vrjUmLnzZOPzmd4zvqpsHflDtCsNYNMEwbp1lGE1b+82VQaL4vemmm4ybbrpp0PsNt4cHHnjAeOCBB2zPHSoy+68qudqtmrnar9xclfxqtyaqeVDdL7DU6GM8mtAzzZEycuTIeJcQFSNHjsTlElx56GQe+8F+tHQEOPnOD3hqgLMIMnI3uOBZaNsOD50C3vo+c2HoX0zrL1cVZNWrWq4sVPKg3aqZKwvVPGi/2q2Fah6c6tcRg2aPxxPvEqKiZ737TSrklZ8exNxx+fzqma/5xdNf0e7b+SyCAIzZC857Ahor4eFTob33lwlleUgUvwsXLmThwoWD3m+4PURzdsVochMVlfqZdqtmrixU86D9arcWqnlwql9HDJpzcnLiXUJUhNc7MjuNRy7bl58eOZVnv9zCyXd+wNq6lr4fPOEgOPtR2PYdPHIGdDR33/TKK6/Y8sW0wepNdGTVq1quLFTyoN2qmSsL1Txov9qthWoenOrXEYNm68B7VeirXrdLcO3R03jw4n1oaPVx0h0f8vyyrX0HTD0KziyH6gp47CzwmedMd7nkbE4n+N0Vc2WhkgftVs1cWajmQfvVbi1U8+BUv44YNKekpMS7hKgYqN5Dpo3glZ8ezKySXK55soLrnvuaDn8fh2vM+B6cfh9s/hQePwf87Zx++ukDnvxERr2JiKx6VcuVhUoetFs1c2WhmgftV7u1UM2DU/06YtDc1dXPMcAJymD1Fuem8dgP9uWHh03m8c82c8qdH7K2rnXnO+5+Kpx6N2xYAk+cT1ennHd2TvO7q+TKQiUP2q2aubJQzYP2q91aqObBqX4dMWg2BjpBSAISSb1Jbhe/Pm4G5RfvTV1LJyfd8QHPfbll5zvOPgtO+iese4u0l66AgM+2GeZo6k0kZNWrWq4sVPKg3aqZKwvVPGi/2q2Fah6c6tcRg2brpBKqEE29h00fyeKfHsysMblc+9RX/LKv1TX2+j587xaS178Jz14KXf641ZsIyKpXtVxZqORBu1UzVxaqedB+tVsL1Tw41a8jBs3t7e3xLiEqrHojXd2iODeNxy7bl6uOmMIzX27hpDs+YHVt2Ooae1+G95D/g5UvwrOX2TpwVtWvE3LtXnPbDlTyq/uumrmyUM2D9qvdWqjmwal+HTFozs7OjncJURFLvUluFz8/ZjoPX7Iv29v8nHTHBzzx2aZeHymkHPxTOPYvsOJ5WwfOu4JfJ+bKQiUP2q2aubJQzYP2q91aqObBqX4dMWjevn374HdKIJ588smY11M+aGoRi68+iPmlBSx87huuenwZzR3m4Hj79u2w/49tHzir5ldWvcOZa/UJu9fctgOV/Oq+q2auLFTzoP1qtxaqeXCq34QeNAshFggh7vF4PLS1tdHS0kJzczPt7e14PB78fj91dXUUFRVRXV0NQFVVFQDV1dUYhkFdXR1+vx+Px0N7ezvNzc20tLTQ1tZGY2MjPp+P+vp6gsEgNTU1vTKsdftqa2sJBAI0NDTQ0dFBU1MTXq8Xr9dLU1MTHR0dNDQ0EAgEqK2t7ZVhXdfU1BAMBqmvr6erqwu3201ycjKpqam4XC6EEL3aZBhGv22ivZn7vz+Xnxwynle/qeGEf7zPx6uqyMzMNNs07we0HvgbWPE87Y9eAF3+neqJpk3WbPZAbfL5fDQ2Ng64nQZq01C2U3ibXC6XLdspvE2pqalS2lRYWLhTm6zjq7Kzs3G5XLjdboQQUbXJ6r92b6e8vDxbtlN438vIyLBlO/VsU15enpS+Z7mN5fU0UJsKCwulvJ5SU1Nt20492+RyuWzZTsO1jzAMw9Z9udWmzMxMKW3Kzc21ZTuFtym8/9q1nYqKimzdlzc0NJCdnW37vry5uZmsrCwpfS/crV37iBEjRkh5PSUlJdm+L/d6vaSkpNi6L5e9j/D7/b3a1C+GYST8Zd68ecZAVFVVDXh7rCxbtkxKrlXvAw88YDzwwANDylq6scE44Ka3jMnXvWLc/PIyo6sruOPGD/9pGL/PMYwnLzSMgG/I9dqNbL9OyB1KH9F+dd9VNVf7lZurkl/t1kQ1D6r7BZYafYxHE3qmOVJGjx4d7xKiws5655UW8MpPD+LI3UbyzyVbueTBz6lv7TRvPOAncMyfQ4dqxL6qxq7sV+VcWajkQbtVM1cWqnnQfrVbC9U8ONWvIwbN1vS6Klj12rWecl5GCnddMI+fHzqWj9Y1cPxtS/hgTb154wFXwTE3wooX4KmLINAZc72qIKveeOTavea2HajkV/ddNXNloZoH7Ve7tVDNg1P9OmLQXFJSEu8SokJGvUIIrjp+T1748YHkpifz/f98yqJXv8PfFTRnnI//f7DqFXjyAvB3xL1emciqV7VcWajkQbtVM1cWqnnQfrVbC9U8ONWvIwbN1kHhqiCr3urqanYbncNLPzmIc/Yez13vreOMuz6mssEL+14BJ/4D1rwBj58NvshPua39qpkrC5U8aLdq5spCNQ/ar3ZroZoHp/p1xKC5uLg43iVEhax6rdz0FDc3nbYH/zp/LzZsa+V7t3/A88u2wvyL4ZR/wYb34dEzobM1rvXKQrZfVXJloZIH7VbNXFmo5kH71W4tVPPgVL+OGDRv27Yt3iVEhax6w3NP2GM0r15zCLuNzuaaJyv42ZMVtMw4E067FzZ9DI+cBh1NcatXFsPlN9FzZaGSB+1WzVxZqOZB+9VuLVTz4FS/jhg05+fnx7uEqJBVb1+5Y/LSefwH+3HNUVN5oWIrJ9y+hC9yjoQzH4CtX8BDJ0ObJy71ymI4/SZyrixU8qDdqpkrC9U8aL/arYVqHpzqV9qgWQjxHyFEnRBieY+/FQgh3hBCrAld22K1paXFjphhQ1a9/eUmuV1cc9Q0nr5yfwwDzrr7Y26vnknXmQ9D7Qoo/x601Ax7vXbS84x5w+03UXNloZIH7XbnXDvPLqn9qpkrC5Vew9qtmrmyiLRemTPN5cBxYX9bCLxlGMZU4K3Q70MmPT3djphhQ1a9g+XOKy1g8dUHs2D2aP7+xmrOeS+PbSc9DNsr4T/Hmdcx5CYa8fKbaLmyUMmDdqtmrixU86D9arcWqnlwql9pg2bDMN4Hwj/3Pxl4MPTzg8ApdjyXdfpDVZBVbyS5OWnJ/OOcudx69p6srG7hiP/C+/vfB+0ec+C8bXVMufHCmjWrrKyksrKS8vJynn76aSnPFc/tlkio5EG73ZHb12tlqDPO2q+aubJQ6TWs3aqZK4tI6xXm2QLlIISYALxsGMas0O+NhmHk9bh9u2EYfR6iIYS4HLgcYPTo0fMWL17c7/P4/X6Sk5NtrNykoaGBwsJC23Nl1Rttbk1rgFs/3s6qBh8XlNTyf61/xEWQdQfcTHveNOn12uF39WpzkG99tJKdnQ3AtGnT+n1MrCTKdosUp/ffeGWCmm43bNgA2Pta0X7VzFXJr3ZropoH1f3OnTv3C8Mw5offL2EHzT2ZP3++sXTp0n5vb2trIyMjY+gFh1FRUcGcOXNsz5VVbyy5ga4gd76zjtvfXsP8LA8PJd9IaqAVznsKSveXWq+dfq0Zs7KysoTyG8/cXaH/xiMT1Hbb87ViZ66dqOxXhVyV/Gq3Jqp5UN2vEKLPQfNwr55RK4QYHSpoNFBnR6jP57MjZtiQVW8suUluF1cfNZWnr9yfmuQxHOFZiEfkYTx8qnkilEFy7fxSkV0kkt945spCJQ/arZq5slDNg/ar3Vqo5sGpfod70PwicFHo54uAF+wIlfFuRiay6h1K7l7j83nlpwdz0Ly5HNN4HeuNEozHz4Gvn1LCb1lZWffMWSL6jUeuLFTyoN3unNvztWJnrgqo1Hdl5spCpdewdqtmriwirVfmknOPAx8D04UQW4QQlwKLgKOFEGuAo0O/D5nm5mY7YoYNWfUONTcrNYm/njGbP19wOBcFf8dngWnw3A/wvf+Pne4r40tFdpGofoc7VxYqedBu1cyVhWoetF/t1kI1D071mySrAMMwzu3npiPtfq6CggK7I6Uiq167co+bNZq9xh/P9c+MwLPhBo7/4Ea8vhYyj/8jCGHLc8gk0f0OV64sVPKg3aqZKwvVPGi/2q2Fah6c6tcRZwSsq7Pl0OhhQ1a9duaOzEnjnosPpOGEe3gieCSZn93OpvLLoCsA7PiIt7S0lNLSUls/8h0qKvgdjlxZqORBu1UzVxaqedB+tVsL1Tw41a8jBs3FxcXxLiEqZNVrd64Qggv2n8Q+P3mQJ9PPYXzlM3x968k0JfjHLqr4lZ0rC5U8aLdq5spCNQ/ar3ZroZoHp/p1xKC5qqoq3iVEhax6ZeWmBVo47Rf/5p1Jv2B26wdsvPVoPlm+FrD3S0V2oZpf3X/l5Wq3aubKQjUP2q92a6GaB6f6dcSguaSkJN4lRIWsemXmJrtdHH7h79h4+J3sZqyl6KkF/OPpN2n3dUl5zqGgol+VUMmDdqtmrixU86D9arcWqnlwql9HDJqd+o4mEXMnHHoBxvefZ0xyC+ctv5Srb32Qis2NUp43VlT2qwIqedBu1cyVhWoetF/t1kI1D07164hBs1Pf0SRqburkg0m/4k1yszK4tf06/nHXv7nl9VX4AkEpzx8tqvtNdFTyoN2qmSsL1Txov9qthWoenOo3oQfNQogFQoh7PB4PbW1ttLS00NzcTHt7Ox6PB7/fT11dHTU1NVRXVwM73i1UV1djGAZ1dXX4/X48Hg/t7e00NzfT0tJCW1sbjY2N+Hw+6uvrCQaD1NTU9Mpoa2sDoLa2lkAgQENDAx0dHTQ1NeH1evF6vTQ1NdHR0UFDQwOBQIDa2tpeGdZ1TU0NwWCQ+vp6tmzZQmNj44BtMgwj6jZt2rRp0DZZ19G0adWqVTtnjJxB02lPkDZyMvcn/z+q37ufBbe/T8WGOlvbFMl2Cm/T2rVrbdlOPp+v13basGGDlDZVV1fbsp3C22T134HaFMt22rp1qy3bKbxNlZWVtmynnm3aunWrlL5nubVjO/VsU3V1tW3bqWebNmzYYNt26tmmtWvX2rKdhmsfsWrVKlv35VabNm3aJKVNW7ZssXVfbrUpvP/atZ1qamps3Zc3NDSwefNm2/flzc3NbN68WUrfC3dr1z6itrZWyutp7dq1tu/LvV4v69evt3VfLnsfsXLlyl5t6g9hGEa/NyYK8+fPN5YuXdrv7YFAgKQk+5eclnWOc1n1xiW3oxme+j6sf5d7xJn8zXcq1xw1nSsOmUSSe+D3ZNqv3FztV7tVNVf7lZurkl/t1kQ1D6r7FUJ8YRjG/PD7JfRMc6Q0NTXFu4SokFVvXHLTcuC8p2HP87jceJpHCx7gtteWc/pdH7O2rlVKPYPhKL8JiEoetFs1c2WhmgftV7u1UM2DU/06YtCcmZkZ7xKiQla9cctNSoFT/gVH/JZ9Wt7g4zG301hfw/duX8J9S9bTFRzeTzMc5zfBUMmDdqtmrixU86D9arcWqnlwql9HDJo7OzvjXUJUyKo3rrlCwCG/hNPvp7BxOW/l/okzJnTw51dWcvbdH7Oh3iultr5wpN8EQiUP2q2aubJQzYP2q91aqObBqX4dMWiWcdyMTGTVmxC5e5wBF71Ekq+ZPzf8jAeP8LO6toXjb3uf+z/YQHAYZp0TwkMC5MpCJQ/arZq5slDNg/ar3Vqo5sGpfh0xaNb0pry8nPLy8vgVMH5fuOxNREYRh35yGUuOreGAyUX86eUVnH3P8M46azQajUaj0diBIwbNAy0PkojIqjehcgsmwWVvQOn+5L72U+4veYlbzpjFqpoes86SVm5JKA9xzJWFSh60WzVzZaGaB+1Xu7VQzYNT/ao1f94Pqamp8S4hKmTV+/zzz2MYBpWVlQDds81lZWVDyo253vR8uOA5ePVXiI9u4/Rpqzj4J3ey8OUN/OnlFexWlMKdY1uZNCJrSPXZVq/DcmWhkgftVs1cWajmQfvVbi1U8+BUv46YafZ61fq4X1a9LpeczTmket3JcOKtcMLNsOYNRj61gPtPKuKWM/dkU5Of429bwt3vrSPQZd/ZBGX5VS1XFip50G7VzJWFah60X+3WQjUPTvXriJnm3NzceJcQFbLqPffcc0lKSrJthtnClnr3+QEUToGnL0LcewSnn/0I+SeM4ok1Bje9+h2Lv6nm/52xJ9OLsxOjXgfkykIlD9qtmrmyUM2D9qvdWqjmwal+HTHT3NDQEO8SokJWvQmfO/lw+ME7kFEID53ElNrF3P39edxx3lw2b2/nxH8u4fa31uAf4qxzwnsYplxZqORBu1UzVxaqedB+tVsL1Tw41a8jZppHjRoV7xKiQla9Vq5dM8zhubZQOBkuexOeuYTxFTdDkocTj/sr+086hD+8tIK/v7GaV5fX8P9On80eY2N7pyrbryq5slDJg3arZq4sVPOg/Wq3Fqp5cKrfhJ5pFkIsEELc4/F4aGtro6WlhebmZtrb2/F4PPj9furq6ti6dSvV1dUAVFVVAVBdXY1hGNTV1eH3+/F4PLS3t9Pc3ExLSwttbW00Njbi8/mor68nGAxSU1PTK6OtrQ2A2tpaAoEADQ0NdHR00NTUhNfrxev10tTUREdHBw0NDQQCAWpra3tlWNc1NTUEg0Hq6+vZtGkTjY2NA7bJMIyo27Rhw4ZB22RdR9OmlStXDtomn88XeZvS86g6/DZqp54HS/+D8eACjPq13HLGLP5+6nQaWjs4+c4P+MPzX9HQ1BJ1m1atWmXLdgpv09q1a23ZTuF9b8uWLbZsp/A2Wf035u3UT5s2bdoU0+tpsDatX7/elu3Us02bNm2ybTv1bJPl1o7t1LNNW7ZssW079WzT2rVrbdtOPdu0atUqW7aTna+ngdq0cuVKW/flVps2bNggpU2bNm2ydV9utSm8/9q1nbZu3WrLdurZpsrKStv35c3NzWzcuFFK3wt3a9c+oqqqSsrrafXq1bbvy71eL2vXrrV1Xy57H7F8+fJebeoPYUha9stO5s+fbyxdunTYn7eiooI5c+YM+/PuKlRUVDAnaR288BNIy4OzH4Gx82hq97Po1ZU8/tlmJhRmcNNps9l/cmG8y1UO3X/lod3KRfuVi/YrD+1WLsPlVwjxhWEY88P/ntAzzZFivVNQBVn1qpYLwKzT4dLXwZ0EDxwHyx4hNz2Zm06bzWM/2BcDOPfeT7juuW9o7vDHtV7VcmWhkgftVs1cWajmQfvVbi1U8+BUv44YNJeUlMS7hKiQVa9qud0U7wGXvwelB8ALP4ZXfg4BHwdMLuJ/Vx/C5YdM4snPN3H039/jf8tr4lavarmyUMmDdqtmrixU86D9arcWqnlwql9HDJqtY1NUQVa9quX2IqMAzn8WDrgKPr8Pyk+Apq2kp7j5zQm78fyPD6QgM5UrH/mCKx5eSm1zx7DXq1quLFTyoN2qmSsL1Txov9qthWoenOrXEYPmkSNHxruEqJBVr2q5O+FOgmP+DGc+CHUr4e6DYf27AMwem8eLPzmQXx83g3dXbeOoW97jkU8qCQZ3PiZfNQ+6/8rL1W7VzJWFah60X+3WQjUPTvXriEGzx+OJdwlRIate1XL7ZfdT4PJ3IXMEPHwqLLkFgkGS3S5+eNhkXrvmEPYYm8tvn1/O2fd8zNq61mGpV7VcWajkQbtVM1cWqnnQfrVbC9U8ONWvIwbNOTk58S4hKmTVq1rugBRNhcvegt1Phbf+CE+cB+2NAEwoyuTRy/blb2fMZnVtKyfctoRb31hNh79Lar2q5cpCJQ/arZq5slDNg/ar3Vqo5sGpfh0xaLbWRVQFWfWqljsoqVlw+v1w3F9h7Rtwz6FQVQGAEIIz54/jzWsP5fg9irntrTWccNsSPl7XYFu95eXl3ackBwf6jRGVPGi3aubKQjUP2q92a6GaB6f6dcSgOSUlJd4lRIWsehMxN3zgGTVCwH5XQtli6PLD/UfDZ/dCaH3xEdmp3HbOXB66ZB8CQYNz7/2EG15dx3avL/bn7IdE9BsPVPKg3aqZKwvVPGi/2q2Fah6c6tcRp9Hu6uqKdwlRIate1XKjYvy+cMUSeP5KWPwL2LgETvonpJmn2j5k2gheu+YQbn97Dfe+v57313q4/oTdOG2vMQghonoqa5BfWVnZ6/fTTz/dtub0JCH8RoFK/Uy7VTNXFqp50H61WwvVPDjVryMGzSqc1bAnsupNpNz+Bp5lZWWxF5JZCOc+CR/dbh7nXP2VudJGyRwA0lPc/Pq4GRw5JZe/vL6enz/9Fc98sYU/nTKLKSOzYn/eEInkN56o5EG7VTNXFqp50H61WwvVPDjVb0IfniGEWCCEuMfj8Qx4LvKkpCQp5yK3jnEZ6jnjoff51Q3DkHJ+9UAgYMs548Pb1NTUNGibws8Z73K5EEKQkZGBy+UiKSmpuw1D2k5AzZRz4OLFdPk64P6jaXzjb2AY3W0qyTB4pGwvfnvcZL6tauK4f7zPjS9+TWOLN6LtdOGFF3LiiScyYcIEJk2axFlnncXpp59OR0eHLdspvE1ut9uW7RTeJqv/DrSdYul7QEyvp8Ha5Pf7Y3o99demf/zjH9x33322baeebbLc2rGderbJ7Xbbtp16tqmjo8O27dSzTa2trUPeTna/ngZqU1NTk637cqtNgUBASpsMw7B1X261Kbz/2rWdkpKSbNlOPdsUDAZt204929TV1SWl74W7tWsfkZycLOX15PV6bd+XW5l27cuHYx9hrZ5htak/hArvBubPn28sXbq039s9Hg8FBQW2P6+sc5zLqjcRcweaYR6yX2+DebjGmtdhxonm4RoZBb3q3dbSyU2LV/Lcsq2UFmbwx5Nncei0ETHVnoh+B2JX77+LFi0iLS2Na665xrZMi13drexc7Vdurkp+tVsT1Tyo7lcI8YVhGPPD7+eIwzOys7PjXUJUyKpXtdwhYx2u8cm/4M0b4K6D4LR7yB6zb/ddRmSn8vez53DGvLH89oXlXPSfz/je7NH834kzGZWTNmB8z4H+okWLcLlc/OpXv7K9GQnrtx8SvZ8tWrQIgM7OTvx+f/fvCxcutCVfJonudrhyZaGaB+1Xu7VQzYNT/Sb04RmRsn379niXEBWy6k3E3LKysqEdxzwYLhcc8BO47A1ISoPyE/G99nvo6v3xygFTinj16oP5+dHTeGNFLUfe8h73f7CBQFcw4qdKSxt4kB0ruv/Ky83IyLA9UyYquZWZKwvVPGi/2q2Fah6c6tcRM80jRkT2cXuiIKte1XJtpWQuXPE+vPorMpfeCbVL4bR7Ib+0+y6pSW6uOnIqJ80p4YYXv+VPL6/g6aWb+fMps5g/oe+PkXrOWnZ2dkqZtVTCbw8SvZ9Z22bRokX4/X4lZpgtEt3tcOXKQjUP2q92a6GaB6f6jXimWQhxgBDiPCHEhdYl5upsxjqgWxVk1ataru2kZsEp/2L7kTdD3Uq462D4+umd7lZamMl/yvbmrgvm0dzu54y7PuYXT39FQ2vngPG5ublSylbGbwiV+llW1tBXTRlOVHIrM1cWqnnQfrVbC9U8ONVvRF8EFEI8DEwGKgBrMTvDMIyfxlhfVAz2RUBZyDrgXGMi1e/2jfDsD2DLZzDrdPjeLZCev9Pd2nwBbn9rLfctWU9mahK/OHY65+0zHrer99rOKh0Xa6H7rzy0W7lov3LRfuWh3cpluPz290XASGea5wMHGobxI8MwrgpdhmXAHAnWkiGqIKveRMsd8tkAY6SqqgryJ8DFr8Lhv4UVL8C/D4T17+1034yUJBYeP4P/XXMwM0fn8Lvnl3PynR/wReXOxzfJ+mKD7r/ycrVbNXNloZoH7Ve7tVDNg1P9RjpoXg4Ux1yNZEpKSuJdQlTIqle1XFl01+tOgkN/CZe+AckZ8NBJ8Nr14O/Y6TFTRmbz2A/25Z/nzqW+xcfp//6IXz79FfWhQzYWLlzIj3/8Y7n1KoJK/Uy7VTNXFqp50H61WwvVPDjV74CDZiHES0KIF4EiYIUQ4jUhxIvWJdbihBA/E0J8K4RYLoR4XAgxpGUJrIWuVUFWvYmSa80wV1ZWUllZOewzzjvVO2Yv80uCe18GH98B9x4BNd/s9DghBAv2LOGtnx/KFYdO4vmKrRx+87uUf2iuspEofuONSh60WzVzZaGaB+1Xu7VQzYNT/Q62esbNQy+lN0KIMcBPgZmGYbQLIZ4CzgHKY80sLk7YSfA+kVWvarmy6LPelAzzuOZpx8ELP4Z7DoNDfw0H/Qzcyb3umpmaxHXH78aZ88bxh5e+5YaXVvDE55v5/YKZjB6uehOYRO5n4SekiSXTllO+x0giux3OXFmo5kH71W4tVPPgVL8DzjQbhvGedQFWAblADrAq9LdYSQLShRBJQAYwpINftm3bNpSHDzuy6k2UXGtt5tLSUkpLS+Wv1RzGgPVOPRp+9AnMPAXeuRHuO8pcaaMPpozM4qFL9uHf5+9FS0eAc+/9lKseX0ZVY/vw1ZuAJEo/i1emTFRyKzNXFqp50H61WwvVPDjVb0TrNAshLgP+D3gbEMA/hRB/NAzjP9EWZhjGViHEzcAmoB143TCM16PN6Ul+/s6rIiQysupVLVcWg9abUQBn3A8zT4KXfwZ3HwKHXw8HXAUud6+7CiE4fo/RHDZ9JP96ZzX3LNnImytq+fHhk7ns4EmkJbv7eRIb600wErGfWbPDlZWVvX4///zzh5wxnG/4EtFtPHJloZoH7Ve7tVDNg1P9Rrrk3CrgAMMwGkK/FwIfGYYxPdrChBD5wLPA2UAj8DTwjGEYj4Td73LgcoDRo0fPW7x4cb+ZnZ2dpKamRlvKoDQ0NFBYWGh7rqx6VctNBL9JndsZW/F38qrfx5s/k017XUdn9vh+cxv9bsormvh4SwejMt1cMjeXfcakIYTo8zF21xsNieB3uHJXr14NQEtLC7BjpZPS0tKIM/vLmDZt2k733ZXcxiNX+5Wbq5Jf7dZENQ+q+507d26fS85FOmh+CzjeMAxf6PcUYLFhGEdFW5gQ4kzgOMMwLg39fiGwn2EYP+rvMYOt09ze3k56enq0pQyKrPUAZdWbaLmDzdQljF/DgOXPwis/B387HH4d7H+VufpGP7kfrKnnDy99y5q6Vg6aUsTvTpzJ9OLYlqTT/de+3PA+F0tmJDPMu6Lb4czVfuXmquRXuzVRzYPqfoe6TvNW4FMhxA1CiBuAT4C1QohrhRDXRlnbJmA/IUSGMKfnjgT6Pqg0Qvx+/1AePuzIqle1XFlEXa8QsMcZ8OPPYNox8OYNcN/OK2z0zD1oahGLrz6YGxbM5OstjZxw+xJ+/8JyGtt8MdUbrzWtY0Glfub4vuvQXFmo5kH71W4tVPPgVL8RHdMMrAtdrGnpF0I/Rz21ZhjGp0KIZ4AvgQCwDLgn2pyeDOWj8Xggq95EyY33saExe8geBWc/At8+D4t/Ya6wcdDP4JBfQlLqTrnJbhdlB07kpDljuPWN1Tz8SSXPV1Rx7dHTOH/f8SS5I3tPqvuvfbnhfSyWTDv7abR9P5HdDmeuLFTzoP1qtxaqeXCq30gHzYuB3wATejzGMAxjdtSVmQ/8PfD7WB7bF2730L+MNZzIqle1XFkMud7dT4GJh8Brv4H3/wYrXoST78BdOKvPuxdkpvCnU2Zx/n7j+eNLK/j9i9/yyCeV/PbEmRw6bcSAT1VeXo7L5Yrrl8+iRaV+tsv1XYfkykI1D9qvdmuhmgen+o308IxHgP8ApwEnhi4LYqpMAj5f9B+JxxNZ9SZKbryXnLPFQ0YBnHoXnP8M+Lxw/zG4//dL6Gjq9yEzinN49LJ9ueuCefi6glz0n88oe+Az1ta1DPhUqr0jT5R+Fq/MSIj1BD8quZWZKwvVPGi/2q2Fah6c6jfSmeZthmG8FHs5csnIyIh3CVEhq17VcmVha71Tj4YffwJv30jKZ3fD+jfh+L/CzJPNY6HDEEJw3KxiDp8xggc/2sg/31rLsf9YwgX7jueao6aRn5nS6/5lZWX4fD4ee+yx7t8THdn9zM7Z9l267yqcKwvVPGi/2q2Fah6c6jfSmebfCyHuE0KcK4Q4zbrEXp69NDc3x7uEqJBVb6LlDvcMs4XtHlKz4fhFNJ3xLGSNgKcvgsfPgcbN/T8kyc3lh0zm3V8exrn7jOPhTyo59G/vcN+S9fgCQbn1hrFo0SIWLVpkW16i9bPhzoyEWD9tUcmtzFxZqOZB+9VuLVTz4FS/kc40XwzMAJIB6z++ATwXdWUSKCgoiHcJUSGrXtVyZSGr3pzdDoMZ78Kn/4Z3/gJ37msuT7fvlTudituiMCuVP5+yBxfuP4E/v7KSP7+ykoc/qWThcTM4blYxQggKCgqUmGG2kOX35ZdfBuz9Aqnuu2rmykI1D9qvdmuhmgen+o10pnlPwzDmG4ZxkWEYF4cul8Renr3U1dXFu4SokFWvarmykOrBnWSeOfDHn8KEg+D138Ldh0LlRwM+dtqobB68eG/KL96b1CQXP3z0S86862OWbdourd6KigoWLVpEZ2cnnZ2dts04y6o3ObnvNx5DId59N9pPW1R7Dcfbb7So5kH71W4tVPPgVL+RzjR/IoSYaRjGithLkkdxcXG8S4gKWfWqliuLYfGQNx7OexK+ewX+txAeOB72PA+O/qN5CEcfCCE4bPpIDppSxFNLt/D3N1Zx6r8+YsGeJfzq2BzGFahxDJgsv9Ypr+08pln3XTVzZaGaB+1Xu7VQzYNT/UY603wQUCGEWCWE+FoI8Y0Q4uuYq7OZqqqqeJcQFbLqVS1XFsPmQQjY7URz1vmga+Gbp+GOefDZvRDs6jcnye3ivH3H8+4vD+eqI6bw+rfVHHnLe/xl8Uqa2uxbEH7OnDksXLiQ1NRUUlNTWbhwIQsXLhxyrkr9TPddNXNloZoH7Ve7tVDNg1P9RjpoPg6YChyDudTcsCw5J4RYIIS4x+Px0NbWRktLC83NzbS3t+PxePD7/dTV1TF69Giqq6uBHQ2vrq7GMAzq6urw+/14PB7a29tpbm6mpaWFtrY2Ghsb8fl81NfXEwwGqamp6ZXR1tYGQG1tLYFAgIaGBjo6OmhqasLr9eL1emlqaqKjo4OGhgYCgQC1tbW9MqzrmpoagsEg9fX1FBUV0djYOGCbDMOIuk15eXmDtsm6jqZN1vqFA7XJ5/PZ0qaHH36YBx98MKrtFN6m1NRUW7ZTeJuysrL6blNDMxz1e+rOeB5G7wmLf4Fx7+Fs/+rVAfteighy0V6FvP3zQzlqWj73LlnPQX99i3vfX8/GTVuG3Pes/puVlQVg23YaMWJETK+nwfpebm4uTU1NnHPOOSxYsCDm7dSzTSNGjIj59TRQmyy3sbyeBmpTcXGxra8nq01ZWVm2baeebUpNTbVlOw1lvxdNm9xut637cqtNeXl5UtpUVFRk677calN4/7VrO40ePdqW7dSzTQUFBbbvy5ubm8nPz5fS98Ld2rWPKCkpkfJ6SktLs31f7vV6yczMtGU7Ddc+wsJqU78YhpHwl3nz5hkDsXXr1gFvj5Vly5ZJyZVVr2q5ffl94IEHjAceeGBIuYPVG+tzROQhGDSMr582jJtnGMbvcwzjmcsMo2ngx1m5325tMr5//6dG6a9fNg5c9Jbx/LItRldXMOo6LXT/1fsGVXO1X7m5KvnVbk1U86C6X2Cp0cd4NNJjmhOakpKSeJcQFbLqTcTcSI9PtfPU2zI9DFqXELDHGTD9eFjyd/jon+ZxzwdfC/v/BJLT+q13ZkkOD12yD0vWbOOmxd9x9RMV3LtkPQuP242DphZJaVMsJGI/G85MmajkVmauLFTzoP1qtxaqeXCq30gPz0horGl/VZBVr2q5suiv3ljP0jZYbp+kZMKRvzOPd558OLz9J/jXvuYA2jAGzD146ghevuogbj17T7Z7/Vxw/6d8//5PWb61/7MRDicq9TOn9N1dLVcWqnnQfrVbC9U8ONWvI2aaCwsL411CVMiqN5Fyo505tv5ux8oJMjzEPBNeMBHOeRTWvQ2vLoQnzoMJB8OxN5rHP/dTr8slOHXuWI6fNZpHPqnkjnfWcuI/P2DBniX84phplBZm2tW0qEmkfhaPTJmo5FZmrixU86D9arcWqnlwql9HzDQ3NSXGDFykyKpXtVxZ9FdvrGdps7C+EBkTk4+AH34IJ9wMtd+aazs//2Norh7Qb1qym8sOnsT7vzqcHx8+mTdW1HDkLe/xfy8sZ1tLZ+z1DAGV+plT+u6ulisL1Txov9qthWoenOrXETPNmZnxm3WLBVn1JlJurDPHdqzNK8NDWVkZHR0dPPHEE92/R407Gfb5AexxJiy5GT69G759jpx9fwKHXGMe0tEPOWnJ/PLYGVy4/wRue2sNj366iWe+2MIlB07k8kMnkZNm/4lB+iOR+lk8MmWikluZubJQzYP2q91aqObBqX4dMdPc2RmfGbdYkVWvarmyGKzeaGeYI82NmPQ8OObP8OPPYOoxJH/w/+Cf8+HLh6BrgKVugFE5afzl1D1442eHcMSMkdzxzloO/us73PXeOtp9/a8NbScq9TOn9d1dJVcWqnnQfrVbC9U8ONWvI2aak5LUaoasehMxN9rBqR3HNMv0YMdMeDcFE+GsB2lf9Q7p7/8ZXrwKPr4Tjvy9ufqGEP0+dNKILO44by+uPLSJm19fxaJXv+OBDzdw1RFT6Vz5Dm5hntxEBonYz4YzUyYquZWZKwvVPGi/2q2Fah6c6tcRM80ajcoEx+4Dl70JZz0MwQA8cS785zjY9Mmgj501Jpfyi/fhqSv2Z1x+Br99fjl3rC/gq6ZUuoLGoI/XaDQajUYTGY4YNA949pYERFa9quX2ZKjLwfVENQ+BQMCcVZ55EvzoEz4qPIu2qhXwn2PZ9NeDeP6emwbN2GdiAd9LW815Y5sQgU7+W53Dj17cwq9uf4ygzYNn2z08+ihMmEBGdjZMmGD+bhPR1DqUPmcXSvbdfkgEn+EMhwc7263/t6n3mpCFah6c6tcRg+bU1NR4lxAVsupVLVcWqnnoletOZnX2gTw35rdwxG8p7ljNyVV/hecuB8/6AXOEgGlZPk5KXcHhKeswgKeqcllwxwe88515+lHb6x0qjz4Kl18OlZUIw4DKSvP30MB5qAMQ3XfVzJWFah60X+3WQjUPTvWr1kEn/eD1eklL2/lMa4mKrHpVy+2Jnes0q+bByg1fC3pRXSou4xIO5HP2/eY5XF8/jWvehXDIryB3zE45PR1OAH4yeyyVjOAfb67h4vLP2Wt8HtcePZ0DpxQiBjheOtJ6beG666Ctrfff2trg+uvh/POHHB9JrXaejXKoqNp3e5JIPsOR6cFaWcfOduv/beq9JmShmgen+k3omWYhxAIhxD0ej4e2tjZaWlpobm6mvb0dj8eD3++nrq6OnJwcqqurAaiqqgKguroawzCoq6vD7/fj8Xhob2+nubmZlpYW2traaGxsxOfzUV9fTzAYpKampldGW+ifeW1tLYFAgIaGBjo6OmhqasLr9eL1emlqaqKjo4OGhgYCgUD3WWWsDOu6pqaGYDBIfX096enpNDY2DtgmwzCiblNycvKgbbKuo2mT9a3Sgdrk8/lsaZPb7UYIEdV2Cm9TV1eXLdspvE0ul8uW7RTepuzs7O42JSebS8fl5uYCkJQzkrfdh/H8+BtYnX0gxrJHMW6fi/+lX9BctbbPNlkZnR3tnLbXWB47fwY3nrI7W7e3ccH9n3L6nR/w7oqtMW+njIyMmF5PvbaTz0dDQwPGli19vvaN0CE6Ho+HyspKHn30UcrLy6PuexkZGYO2yfoCSEZGBsnJybhcLlwu14BtsvYNsbyeBup72dnZtr6erO3kcrlifj0N1Kaurq4+22T1wZycHLMfJyXZ3qZY+l5nZ6et+3KrTT37TXJyMhkZGd3tHkqb0tPTbd2XW20K77927ctzcnJs2U4925SWlmb7vry5uZnU1FQpfS/crV37iNzcXCn/c4PBoC3bKbxNgC3babj2EeHjvf4Qdn1kK5P58+cbS5cu7ff22tpaRo0aZfvzVlRUSFmBQFa9quVqv33n9pyh2mm2anslvPf/4KvHwJ0Ke18KB14NWSN3yg332xno4qnPN3PHO2upbe5k/0mFXHvMNPaeUDCkeqPmhRdg4UL4+GOYM8c8JCOM1sJCnrn55u5Zu9LSUiD6Wbtoao1mZlD33cFzhzLTqrJfO2fW9b5XvdeESm5VzB0uv0KILwzDmB9+v4SeaY4UGRtGJrLqVS1XFqp5iCo3vxROuRN+/DnMPBk++Rf8Yza8dj201g340NQkN9/ffwLv/fJwfr9gJmvqWjnzro+54L5PWbrRI6fenljv3sePh7FjoakJbrwRQrNy3WRkkHXbbUM6e+OQa40TCdHHEiBXFqp50H61WwvVPDjVryMGzdb0uirIqle1XFmo5iE8t+cAsd/BYtEUOO3uvgfPLbUDPl9aspuLD5zIkl8dzvUn7MZ3Nc2ccdfHnH/fJ3y2YfDBc9QeAgE44QT4zW/M3+fOhTfegNJS87jle+6B0lIMIcy/3XOPLcczR1trrANzO1G97/YkEXyGMxwe7Gy33veq95qQhWoenOrXEYdnyELWxwAaE+3XRurXwvt/g2+eAncK7HUh3+Ydxe4HHDvoQ9t9XTz6aSV3vbee+tZODphcyNVHTmXfSYVDq6mzE6xvJF97LUyeDD/+8dAyEwTdd+Wi/cpF+5WHdiuX4fLr6MMznPqOxum5slDNgy251szzT5bCHmfC0geY+ca58PyPzQH1AKSnuLns4Eks+dXh/PZ7u7G6tpWz7/mEc+/5hI/W1e+0VF1E9b72mnkYxvrQMnl///ugA2aVZqlkkdB9bBhzZaGaB+1Xu7VQzYNT/Tpi0FxSUhLvEqJCVr2q5cpCNQ+25hZOhpPvgKsrqJ94Mix/Bu7cG56+GGq+GfChPQfPvztxJuu2tXLevZ9y5l0f897qbd2D537rNQwIfWuaPfaAAw+MqnQZfnXfVTNXFqp50H61WwvVPDjVryMGzdbSIaogq17VcmWhmgcpublj2Tr7arjmGzjgp7DmDbjrIHj4NFj/njnA7Yf0FDeXHjSR9391OH88eXeqGtu56D+fccqdH/Lmitru5X56YRhw0klw0UXm7yUl8NxzMGlSxCXL8KD7rpq5slDNg/ar3Vqo5sGpfh0xaB45cuflthIZWfWqlisL1TxI9Zs1Eo7+A/xsORz5e3O2+aGT4J7DYPlz0NX/epRpyW4u3H8C7/7ycG46bQ88bT4ue2gplzy1hpe/rqIraJgrYIB5OsKjjoIjjxxwQD4QfXkY6hkBdd9VM1cWqnnQfrVbC9U8ONWvIwbNHk/ky2UlArLqVS1XFqp58Hg8Qx4cDkp6Hhx8rTnzvOA28LXCMxfDHfPgs3vB5+33oSlJLs7dZzxv//wwbj5zT9o6/fzksWX87Ko78JeMIfDue+Ydr74afvhDcwAdAzL86r6rZq4sVPOg/Wq3Fqp5cKpfR5xG2zrrlCrIqle1XFmo5mFY/SanwbwymPt9WLUYPrwNFv8C3v6T+fd9rujzFN0AyW4XZ+w1hu+NEryz3cW9/0vh2SkH8twrm/leykbO3nscacnumEvr6cGuUzHrvqtmrixU86D9arcWqnlwql9HzDRbpz9UBVn1qpYrC5U8lJeX8+STT1JZWUll6NTRUmecLVxu2G0BXPoGXPI6TDoMPvon3DYbnrkUtn7R9+POOYfkBSdywu6jeO4XRzHqqYcJTprE71/8loP++jZ3vrOWpnZ/TCXJ8Kv7rpq5slDNg/ar3Vqo5sGpfhN60CyEWCCEuMfj8Qx4LvLk5ORhORd5rOeMh97nVweknF+9q6vLlnPGh7epubl50DbF85zx4W1qa2uzZTuFt8nn8/Hggw/y8MMP29ampKQkDMPofpebnJxMTU0Njz766JD7ntV/w9v08MMP89BDD5nbqaWF9hGz8Rz1D/w/WkrbHhdirH4N7j0C7j8Wz5L7YHMl1Vu3YhgGTccdh++SS/B4PHR0dDBvdBoPXLAHD100l2kjMvjba6s44KY3+cviFSxftzmqvhcIBLrbtGDBAi644AImT55MaWkpxxxzDGVlZVH3PSGElL5nuY3l9TRQ30tKSpLyevL5fDG/ngZqU1tbW8yvp3jsI5qbm23dl1tt6urqktImwNZ9udWm8P5r13ZKTk62dV/e0NBg7nds3pc3NzcTDAal9L1wt3btI1JSUqS8ntrb223ZTuFt6uzstGU7Ddc+Yvv27b3a1B+OOLlJS0sL2dnZtj+vrEW0ZdWrWq6Kfp999lkg+sMEosmN9VCEcPrzO2h+RzMsewQ+uwe+Wwv3t8EvzoTrbofsUQP6Xb61ibvfX88rX1eR5HJx+ryxXHHIJCYUZQ5ab1+5Q3Wh+66audqv3FyV/Gq3Jqp5UN1vfyc3ccQxzSoM/Hsiq17VcmUho97y8nJcLteQj7HtC6vempoaysvLpTxHz7xB81OyoPh4uOpKWP06VF0DbYvh1rdg91Nw7X4+TD+szy/8zRqTyz/PncsvjpnGPe+v5+kvtvDE55s4bvdiLj9kEnPH5/dbX1/bbaht131XzVxZqOZB+9VuLVTz4FS/CX14RqQkJyfHu4SokFWvarmykFXvUHYCAx2rnJycTFlZGcXFxTHn28rll8PBB0NHB8w4Dl74Dn67DPa+DFa/RuYTp8BdB8Pn90NnS58RpYWZ3HjqHnz46yP44aGT+XBtPaf+6yPOuvtj3lpZSzC4s0sZ2033XTVzZaGaB+1Xu7VQzYNT/Tpiprm9vZ309PR4lxExsupVLVcWMuotKyvD4/Hw4osvdv9uF1a9VqbdM8wWA+Zv2ACjRkFGBlx2GRx2GKSl7bi9aAocvwiO+C3eTx4gc8WT8Mq18Mb/maftnn8JjJ6903OOyE7lV8fN4EeHT+GJzzbxnw82cOmDS5kyMovLD57EyXNLSE1y9/JgJ7rvqpkrC9U8aL/arYVqHpzq1xGDZhnHzchEVr2q5cZCJAPKRPIQySERcfe7eTPsthtcfz387new337mpS9Ss0g54Eo45CfmChtL/wNfPQ5fPABj5sO8i2D30yA1q9fDslKTuOzgSVx0wARe+bqau99fz6+e/Zq/vb6KsgMmcN4+47s92PmmIe5uoySR+m48c2WhmgftV7u1UM2DU/064vAM61uPqiCrXtVyZSHTQ1lZme0zwOH1yniOnfK//31Ytsz8w7hxcMstcPHFET1++/bt5vHMY+fDKf+Cn38Hxy0yD9V48Sq4Zbp5vWXpTmcHTHa7OGXuGBb/9CAevnQfdhudY664sehtrnumgo31/Z9kJRZ031UzVxaqedB+tVsL1Tw41a8jVs8wDAMR41nIBkLWtzRl1atabjR+w2dsS0tLgb5nIwerN9aZzKF4GOg54+L3F7+Af/8b1q83D8uIgn7rNQzY/Bkse8g8Rbe/DUbsBntdCLPPgsyiPvNW1bRw35L1PPflZroMGO9qZPekWvaZWIgQQ5txToS+Gw2qvYa1XzVzVfKr3Zqo5kF1v/2tnuGImWZrvT1VkFWvarmyUM3DsPldvRqs5/rRj6C8HEaOjDqm33qFgPH7wsl3ws9XmafrTsmE164zZ58fPw9WvgwBX6+HTS/O5m9n7skvpzdzcGEbtcFsXvXN4J6NeXzVlIovEIy6xkFrTVBU62Par5q5spBRr3ZropoHp/qNy0yzECIPuA+YBRjAJYZhfNzf/QebaZaFrHc0GpNY/C5atAiAhQsXRv180cxWK82jj8L112Ns2oQYPx5uvBFOPBHGjoXzzoO77+7zYUNxOyC1K+Crx+Drp6C1FjIKzS8P7nkujN5zp6Xr7vlPOV83pbEyWMy6bV5GZKdy4X6lnLfveAqzUu2tLUaGsm+Q9UVPJ6H3vXLpy6/ul/ag+65chstvos003wb8zzCMGcCewMqhhFlndFEFWfWqlhsN1pJtnZ2ddHZ2DriEm2oebM199FFzybjKSoRhQGWl+fvLL5szy3/4w5CfIup6R82EY/4MP1sB5z0NEw42v0B4z6Hwr/1gyS3QuKk7N8UF8/M7eONnh/LgJfswc3QOt7yxmgMWvc2vn/maFVXN8mqNM0r0sWHIlYVqHrRf7dZCNQ9O9TvsM81CiBzgK2CSEeGT65lmZyLrmOZIsxw5ozJhgjlQDqe0FDZu7PMh1gxzZ2cnAKmp5myu7TPOPWnzwLfPwddPw+ZPzL+N39889nnmKZBR0Ovua+ta+M+HG/nvl1tp93ex78QCyg6YwNEzR5HkHv73/rHsG3aZTzpsQO975dLTr+6X9qL7rlziPdMcj0HzHOAeYAXmLPMXwNWGYXjD7nc5cDnA6NGj5y1evLjfzLa2NjIyMmyvtaGhgcLCQttzZdWrWm4sflevXg3AtGnT+r3PYPVGkhFLbqzPY6ffPffay5xhDsMQgqefeKLPeioqKgDo6uoCwO02103ub8dkd39I8VaTv+VNcje9RoZ3M0GRRMuofWgccwRNxQcSTN7xXK2+IG+u97J4jZc6bxdFGW5OmJrJUZMyyEl1S6/VYih9t6XFPCGMtcRRz+2h2ms4kfxGgmoehsNvJP0yUmTUq7JbO1HNg+p+586dmzCD5vnAJ8CBhmF8KoS4DWg2DON3/T1Gr57hzNyhzNYNNAuSKB4indG2rV6fD9LTIdjHF+dKSym/4YYB64n0mGZpfoNBRO035rHP3/4XmrdCUhpMPQZmnW5ep5g7ta6gwVsra3nw4418uLaB1CQXC/Ys4cL9S5k9Ns/WWvvajrKOaU6UvhvvXL3vlZsr65hmvXqG7ruyc3fF1TO2AFsMw/g09PszwF5DCdy2bduQixpOZNWrWm4sRLKGcbw9WMdbV1ZWUllZOeDx19Hk9onPB48/bi73lpJinqAk7KxGgZQU3jv22IjrGQxpfuvrzS8GHnsjXLMcLnnNXK5u0yfw9EXwtynwzCWw4gXcgTaO2b2YRy/bj9d/dghnzh/L4m+qOemODzn5zg959ostdPi7EqrvRkK8+26i5MpCNQ/ar3ZroZoHp/od9jMCGoZRI4TYLISYbhjGKuBIzEM1YiY/P9+e4oYJWfWqliuLRPRQU1NDeXl5nwP+IdX72GPmSUnGjoWDD4Y//hGmT++1esaHxx7Lhv337/tY5x5EegzzsPh1uWD8fubluEWw8QPzGOiVL8HyZyEpHaYeDTNPZtrUY/jzKXvwq+Nm8NwXW3j4k0p+/vRX3Lh4JWfsVcL3989iXEH0HxNGcjbHWBjo8YnYd+ORKwvVPAynXzuOYZZRrxPc2oFqHpzqN16rZ1wFPCqE+BqYA/xlKGHWsViqIKte1XJlEW8P1mx4aWkppaWllJWVUVxcPOTcbioqYMkS8+cLLoC33jIHzBbnnw8bN/LVl1/Cxo0cevfdO9XT1z/ISGegh92vyw2TDoUFt/HgiOv536ifwNzzYfOn8Oyl5gz0Y2eTs+JxyvbM4s1rD+XRy/Zl7wn53PfBRg752zuUPfAZb6yopSuY2CdzinffTZRcWajmQfvVbi1U8+BUv8M+0wxgGEYFsNOxIrGSHvZxdKIjq17VcmWRSB6sGeaBZiujyjUMuPBCyMyEjz+GpCQ44oio6xoK8fRrCDc16VPhe2Vw/N/MgfOKF+C7V2D1/wCBGL8fB04/gQNP+B4bjpnMf7/exhOfbeIHDy2lJDeNc/cZz9l7j2NkTtqAz2Vto+FcbSWR+m48c2WhmgftV7u1UM2DU/3GZdBsN36/X6kNJKte1XJlkSgeysrKIpq5HTS3vR3uuw+uuMI8bvnxx2HMmIjrCCd8EBjtYQjx8DtgjaX7w3E3Qc035uB51Svwxu/gjd8xvnAa1844gZ+edwxvts7g0c+2cssbq7ntrTUctdsozt13PAdPKcLlsv8LK7GQKH033rmyUM2D9qvdWqjmwal+HTFolvENTZnIqle1XFkkkodIZisHzV2yBH76U/O45VNPhd13j7oOO0kkvz0eDKNnm5fDr4PtlbDqVYwVL8LHd5D04T84Lj2f46YeQ93Jh/Hwtik8+pWH/31bw9j8dM7Zexxnzh/HqD5mn4dzvdqEdBuHXFmo5kH71W4tVPPgVL+OGDRb68qqgqx6VcuVhWoe+sz97DPYtAnOOAOOOQa++AL2im2RmfBZ2vC/R3sYQjz8Rn2oRH4p7HclvtkXkuTyw7q3YfVrsOZ1Rn79JD8Xbn42dh9W5ezHQ3VTufn1Nm59cw1HzhjJOfuM45CpI+Jy0hRH9N0ERjUP2q92a6GaB6f6dcSg2efzSVlEWxay6lUtVxaJ6GGgQV6fub//vXkGv9NOM1eSiHHALINE9DtgZl4e7H6qeQl2wdYvYPX/cK15g92+vZWbgD8VjGRFxt48tnE6166YTlrOCM6cP5az5o+LaeWNIdWriFuZubJQzYP2q91aqObBqX4dMWhWacOAvHpVy5WFah4yMjLA64Vbb4Uf/hAKC+HeeyE31xwwD5HwWdrwv/f3+4D1SiCS3GgPldgp0+WGcfuYlyP/D1pqYd1bJK15g9nr3mZ28BVuShNsZCqL39+NX767BykT9+P0vSdx7O7FpCXLnT1Rsu8qhGoetF/t1kI1D071G68l52ylubk53iVEhax6VcuVhWoempubzVnlG26AF14w/zh2LIROZ5toqOR30MzsUTDnPDjzAfjlOrj0DcRh1zFxVAE/Sn6ZJ1L+zF1bzyD72fP4543XcMfjz/HVJg+yzqSqkluZubJQzYP2q91aqObBqX4dMdNcUFAQ7xKiQla9quXKQhkPH34IS5dScNVVUFQEa9bAxIn2PkcP7PpCmzJ+o810J+2YhT7s14iOZtj4Aenr3mb2ly9wRFcFrHqIhu+y+cq9Ox98dwQzD1hAwfjdzC8iDne9Ds6VhWoetF/t1kI1D071m9AzzUKIBUKIezweD21tbbS0tNDc3Ex7ezsejwe/309dXR21tbVUV1cDUFVVBUB1dTWGYVBXV4ff78fj8dDe3k5zczMtLS20tbXR2NiIz+ejvr6eYDBITU1Nr4y2tjYAamtrCQQCNDQ00NHRQVNTE16vF6/XS1NTEx0dHTQ0NBAIBKitre2VYV3X1NQQDAapr69n69atNDY2DtgmwzCibtPmzZsHbZN1HU2bVq9ePWibfD6flDZFsp3C27Ru3TpbtlN4mzZu3Ghrm7oefJCuv/+dmg0bzDZNnDik7RTeJqv/2r2dqqqqbNlO4W3atGmTLdupZ5uqqqpi307BJBqLD8B/9F/438Tf89TYP1B78CKaxh7OLGMNB636CwUP7M/2P09m47/PpPPje9m+5jM62ttj7ns1NTVSXk8bN260bTv1bNO6dets2U7DtY9YvXq1rftyq02bN2+W0qatW7faui+32mTtG+zeTrW1tbbuyxsaGti6davt+/Lm5ma2bNkipe+Fu7VjX27tx2S8ntavX2/7vtzr9bJhwwZb9+Wy9xHfffddrzb1h5D1MaOdzJ8/31i6dOmwP29FRQVz5swZ9ufdVdjl/La0wF/+AhddBDNmQGMjJCebJyqRgCp+h/PkIdESvvJIaWkpAHP23JP8LDcrPnwZ16YPmdO1nFGiEQB/ehFJEw9ClB5oriE9cqZ5LLUmYlTpu6qi/cpDu5XLcPkVQnxhGMZOJ+FL6JnmSLHeKaiCrHpVy5VFrPUOdhrpIXtob4e77oLXXjN/z8uDzMxdxm88cqW5FYLSqbM5vuw3HPXbl1l13uf8edIj/DZ4OS+1zmDbyiXw6i/hroPgrxPhkTPg/Zth44fgbx/2elXLlYVqHrRf7dZCNQ9O9euIY5pLSkriXUJUyKpXtVxZJJSHd9+Fl1+Gm2+GkSPN45aLioaeG0fsqjd8Fvf1118H7J1xHmqt/a0PXVFR0X0ft0uw/uPFjAVO/81feHV5DVct3cyWjauZ71rF99I3sk/NKvLWvmE+wJVsnoRl7D47jqHOHWtLvf2hWq4sVPOg/Wq3Fqp5cKpfPdMcB1R7Z+d0v9YMc2VlJZWVlf3OOMfk4bPP4Nlnob7e/D1swBxzbhyRVW9ycrLtmbHUGr79y8vLu49/G4zstGTOmj+OJ688gKcWns30Yy7lb8lXMqf+T8z338s/R/2JtVPK6HKlwhfl8MzFcOvu8PeZ8NSFNL36Z6j8CHxtUdc9EHrfYKKah3j5HexTt/7QM83yUM2DU/3qmeY4oNo7O+03itzWVvi//4PvfQ+OPBKuvto8BXbazqdnjio3gbCr3vBZ3PPPP9+W3J7YVWtxcXGfM+Dhs+U9Z6TH5KXzo8Om8MNDJ7Oiupnnl23lka8KuKVyMpkpR3HczCLOHd/EXLEG99bPYMvn5Da+AJ/+DYTbPBZ67DwYMw9K9oIRM8wVPmJA7xtMVPOg/Wq3Fqp5cKpfRwyaa2trGTVqVLzLiBhZ9aqWK4to6430FM0R5SYlwYsvmjPKRx4Jqam21xtvVOpn0WSGD4AXLVoEQGdnZ6/boz18RAjB7iW57F6Sy8Ljd+PT9Q28+FUVi7+p5tmKAPkZkzhhjwM56aQSJlDNKP8W2LoUtiyF5f81Z6QBktLNwzpK5u64FE6J6EuGKm0zmajmYbj9DvQmMBLi/RpOhFxZqObBqX4dMWguLCyMdwlRIate1XJlMewe3nkH/v1vePxxc0b5668hirMh7ep+rX/IAy3zEyuy3Ub6hsvC7RIcMKWIA6YU8YeTd+f91fW8ULGVZ7/cwqOfbmJUdionzB7HibP3Za/D8xCGAZ51ULVsx+XLh+DTu8zA5Ewo3gNG72kOqEfvGZqR7n2oi943mKjmQfvVbi1U8+BUv44YNDc1NSm1gWTVq1quLGKtd7ABT7+59fWwbBls3gwTJkQ1YB4wN0Gxu15rwLlgwQLbPURTa38DYFlL4qUmuTl65iiOnjkKb2eAN1fW8tzSSh79ZBMPfLiRMXnpnLBHMSfOLmH2HmciZp9lPjDYBdtWmQPomq+h+itY9gh85jVvd6fCyBnmYHrUHlC8B80pJRSU2H/inF2976qa2x9D7fMy6nWK26Gimgen+nXEoDlT0jq3spBVr2q5spDuoaMDfv5zmD8fLr4YzjgDTj4ZUlKGljvMxPqPcTj6Way1hT8u1lpramooLy+P+PmHOqDOTE3i5DljOHZGIT7cvLmilpe/rqb8o43cu2RD9wD6+D1GM3dcHmLUTBg1EwgdBx7sAs96cwBdXQE1y2HV/8zBNFAAkDceRs0yj5Uetbv5c8GkmI+Thsj9Jspa3KrtI/W+d9dz299rRTUPieq3PyKt1xGD5s7OTtIG+KJVoiGrXtVyZSHdQ2oqrFixYyUMIWIeMPfKVQS76g0/fvLpp5+mq6vL1oFVLLWWlZX1WjlgOAd6nZ2d5ObmctpeYzltr7E0tfl5fUUNry6v6R5Al+Smcdys0ZywRzF7jc/H5RLmcc1FU83LHmeYYYYBrbVQ8w0dGz8nrXEN1H4Lq18Do8u8jzUrPXKmeVjHyJnm77njIjo1+K7ad1XPHYxY+7yMep3mNlZU8+BUv44YNCclqdUMWfWqlisLKfW+9x5Z111nnpgkOxveeMP80p8NDLffoX7ZR1a9hmF0z/BGW1t/bTrzzDOjqmGoboZKuNvcjGTOnD+OM+ePo6ndz1sra1n8TTWPfFLJfz7cwIjsVI6ZOYrjZhWz36RCkt09VhEVArKLIbuYrpIDdpx50t8B9augdgXUfWsOpNe/C189vuOxKdkwYro5gB4xA4qmm7/njgPXjucYrC/E22c4qu0j9b5313E72GtFNQ+J5ncwIq03oddpFkIsEELc4/F44nIucusc8kM9ZzwMz/nV29vbbTlnfHib6kNrDCfqOePD29TY2Gjfdtq+nba2NrzBIIbHQ8fatWabQjUPV5ti6XtW/w1vk9vtxuVykZqaSlpaGkII3G53xNspEAjY0qYFCxZwzjnnMGnSJCZOnMjxxx/PmDFjEEKQmZmJy+Xq3pENtp36a1MgEIhqOwkhunOSk5Nxu90IIXZqk+XWju0U6esphQCHTcjg3+fN4X9XzuEfZ+/JrFHpPPflVr5//2fM+9MbXFn+Ma8tr2bT1upefa+1tXXHdvJ24CvcjfqxRxM86o/UHP1v+Pl3VF/0CVz8PxoPugHmnIvPcGOsfh1e/y08dibcNhvjphK6/n0QvifK8L/1Fzq+fJJA1TfUbt3UZ5ustbezsrJwu93d2yle+4j6+nop26m9vT3u+71o2hTefxN1X97Q0EBnZ6eU11NHR4eUNoW7jXQ7Wfssl8tFdnZ2r9ePzO3U1NQkpe+1tLQkzNgokjbV1dX1alN/CMMw+r0xUZg/f76xdOnSfm9vamoiNzfX9ueVdY5zWfWqlpvQfoNBuOIKKC6GP/3JzN2+ndz8fBsq7E28/A7lyz521mvVceqpp3bnWsu9LVy4MKqs8MfFWutgXwZMpL7b4e9iyZp6/re8hjdX1tLU7ict2cVBU0aQsX0t07M6ueDMU2LfZm0e84uH9avM623fQf0aaNq84z7CZR4zXTTNXAav5yWnhPIHHwQi72vx9BvL60Lve01k1Lurue2v/6nmIVH99kd4vUKILwzDmB9+P7Xmz/shNYK1cBMJWfWqliuLIdVrGObH2i6XOXAOBnfkpqfbUN3O7FJ++8D659DR0WFrLgyf26EedmA9/pxzzon4MT3fIFircPi7gny2wcMbK2p5/dsaqpqygSzefvQbjp01miN3G8XkEVnRFZdRAKX7mxer1nwo+/GZdFatILWlEupXhy5rYMMSCLTveHxyBgtEPi1JI+DNSiicDAWTzS8hZo2M6Nhpu1BtH7mr7xtkZcrMlYVqHpzq1xGDZq/Xq9QB57LqVS1XFjHX+/HHcMkl8L//QWkp3Hdfr3/oTvMb6wBPpocnnngCiP6EItb9wh+3YMGCmGoNn2EOP85QxkwHDN1tstvFgVOKWPPBy/ygGJZ11LGpK5+tdV38ZXETf1n8HROLMjlyxkiO3G0U8yfk9z4OOhpSMmnNnkTqhL17/z0YhJYqaFgbuqyjsH4NhZ718NHtEOzx0WdKFhRMhPyJ5iA69HNyW4e5IkgEJ26JhoH8DuX4a6ftG2JFRr27mtv++ptqHhLVb39EWq8jBs0yPgKQiax6VcuVRdT1dnWB2w1jx0J+Pmzfbg6aw2bAtF8TlTzIdjvUL7qFP/6ll14a9PHhZyrs71AWIaDQ1U6hq53S0mS2+1wUzDqEt76r46GPK7nvgw3kpCVx6PSRHDljJIdMG0FBZv+rwETcVpcLcseal0mH9b6ty28e1tGw3jxpS8M62L4B6lbCqlch6Adgd4C3UsxDPvIn9LhMhPxSyCuFtJx+a+0PlfquzFxZqPQa1m7VzJVFpPU6YtDc0NCg1OkaZdWrWq4soqr3iiugtRUefRTGjYOPPrInNwoc7TfK3FhPrtDf44Z6KteBjmmWQVJS0qBnRvT5fIPmhNd9/PHHd3u46IAJtHYG+GBNPW+trOWdVXW89FUVQsCccXkcPn0kR8wYyczROeZydoPUGxXu5NCM8iTgqN63BbugeSt41rP5q/cZlxWA7RvNy+bPobOp9/3T883Bc/6EHQPpvFJzoJ03DpJ3PpxqoL47lBN76H2DiYx6tVsT1Tw41a8jBs0qbRiQV69qubIYtF6fb8e6yuPHQ1vbjmOZh5IbI47zm0C5st0O9Qxq4Y+/4IILBn3M+PHjAbq//R3JlyXDPWSlJnHcrGKOm1VMMGhw092PssabwnYjj1vfXM3f31jNiOxUDp02gkOmjeDgKUXSz5CIyx0a8I6noTmPceGHwLRvB88GaKyE7ZWh641Q8w2sWgxdYW8mskZ155E7DvLGMypvPIhx5qA6xb6TL6j0mpCJSq9h7VbNXFlEWq8jBs1VVVWUlJTEu4yIkVWvarmyGLDeZcvgpJPg6adhv/3g+uvtyR0CjvJrU26sA7Lwx8Vaa/jAcLjWFR6o3vDDMkQEX6Cz6h4o1+USjEkPMCY9QFnZgdS3dvL+6m28/V0db66s5ZkvtiAEzB6bx6HTRtDalsSY9MCgubaTng9j8mHMXjvfFgxCaw00bgoNqDeZg+rGStj6Jax4sfvQj24yCkOHkYwLDazNn8uO2dP8WwRvpC2cvG+I5k2SjHqd7DYaVPPgVL+OGDSrtGFAXr2q5cqiz3rb2yE9HaZOhTlzILT+5ZBzbcARfhM0d7jcDnVQHcvjrRnnSOjPw0DHKZ+211i6ggZfb2nkvdXbeG/1Nu54ew1BI5/stCQ+e3gpB00dwcEpXkoLMyIaxEvD5YKcEvMyfr+dbw92mWdHbNxsDqibNpk/N202V/xY9zb423o/Jiltx6C61/UY8+ecMZBsfnFIpdeETFR6DWu3aubKItJ6HTFoduo7GqfnymKneq+6Cr74Aj78ELKyIPRlqyHn2oTyfhM4N9rMeJ/Brq96w1cGsZZGiqam/jxYh3j0h9slmDs+n7nj87nmqGk0tvlYsqaeD9bU88Hael771jxhwdj8dA6eWsRBU0aw/+TCAb9QGBdcbsgpoaoVSmbvu/PthmEe/tG4yRxIN20NXW8xL2veMGeyw8kogtyxtKcWkj5qqjmozgkNqnPHmIeIDGEFkHjuG2J5LSTCazjeubJQzYNT/Tpi0KzShgH13tkp6belxRwgC2EehlFYCIFATDPMvXIlEO9/itEOCFXyoGTfHcbc4uLiXr8P1hfyMlJYsGcJC/YswTAMNtR7+WBtPUvW1PPyV9U8/pl5wpOZo3M4YHIhB04pYp+JBWSmJsa/mn79CmGuR51RACVz+r5PoBOaq3YMpJu2dA+s05u3wrJPwdfa+zGuJMge3WMwPQZyxu6Ysc4Zaz5nP7P0uv+qtb+RSSJ4iOZ/hlP9JsaebIjU1NTstPNPZGTVq1quLLZ99BEjTj0VbrsNzjkHzj/fllzt10QlD9FmSv+y2yD0Va8dNYXnhs8iRnMigp51ZHS1cuH+E7hw/wkEuoJ8taWJj9fV8+HaBh76xFzWLskl2HNcHvtNKmC/SYXMK80nIyU+/3qG1MeSUs11pAsm9p07ahR0NJkrgFgz1d0/b4GtS2HFCzsfW52UHhpA95ihzhkDuWPZ5k9jxKQ9ITXKE9LYQCz9LhFew/HOlYVqHpzq1xGD5pEjR8a7hKiQVa9qubbj8UBBAYV77w0nn2wev2wjTvE71EMQVPKgTN8NES+3sf5z65mb5HYxrzSfeaX5/OSIqXT4u/iicjsfrq3no3UN3PXeeu58Z12vQfS+E81B9HDNREv1KwSk55mXUbv3fcdgELzboHnLjsF0c4/rdW9DSzVgADDCelxa3o61r8MPAckdC9kl4I7/v3OVXsN63xB5biz/M5zqN/6vsgEQQiwAFkycOJG2tja6urowDIPk5GTa29vJzs5m+/btCCEIBAKMHj26+7iU6upqiouL2bZtG/n5+bS0tJCeno7f70cIgdvtxufzkZGRQXNzMwUFBdTV1VFcXNyd0dZmfjGktraWwsJCmpqayMzMpLOzs3t90kAgQGpqKl6vl9zc3O61/qwM67qmpoaRI0fi8Xjw+/2kp6eTkpLSb5tGjBhBTU1NVG1qamoiKytrwDZZ19G0acOGDUydOnXANuXk5NDW1hZVmwBbtlNVVRUlt91G12OPYaxYwaZt2yi5/XazTV5vzNspvE0ej4eRI0cOeTuFtykYDBIMBoe8ncLbZPXf8Da53W4MwyA1NRUhBEIIXC4Xfr8/ojYFg0FSUlJi204DtMmqb6jbqWff8/l8uFyuqLfT6aefjtvtprGxsc82WW7t2E492+RyuXC5XH226eyzz6a9vT3i7dSzTXV1dRQUFHRvp/POO4/m5mZefvllkpOTOf/887tfk/216emnn8YwDKqrq3G73Tz44IOkpKRw5pln9tumyVkB9j9mGh6PB1dqBp+sqeXLra18tnE7d727jjvfWYdbwMySHPYoTufQ3cYwPqP3yhy27SNKSli3bh0TJ060bV9ubafW1lZyc3MH3+/V1Jhtag1SvNtefbcpGCCpfRsBzyYCDRtIaa8jw++hc9t60pq2Eqz8GFfYmtWGcBHMHIXIHUsgyzwcxMgZSyCzmKTCiXiT8skZOa67TeH9d6DX02mnnUZycjIej2fQ/V5SUhKGYQx5O/Xse52dnWRmZtqynXq+nqz67NyXFxQU7OTWrn1ESkoKgUBgSP9z+2rTli1bKC4uHrBNycnJ+P1+cnNzaWpq6v59oDZt27aN4uJi2/blVpusfZDd4701a9Ywffr07jb1Oy41DCOacWxcmD9/vrF06dJ+b/f5fKSk2P/Fk4qKCimny5VVr2q5Q/bb2AhpaeblvffM02D/7Gf4hFDKQ7z8xvpxv0oeYsmMxItT9g3l5eXdH0tGeqpya7aptLQUIQQXXXRRTDV5OwN8Ubmdzzd6+HSDh4rNjfgCQQDG5SRx0IzRzCstYH5pvm2rc6jUdwfM7Ww1Z6YbN/eetba+vNi8ded1q1NzzVnpvHFs86czYsrc0FJ7oZPBZI6IeIm9qOtNsEyZuU7ZN/RFNP8zVPcrhPjCMIz54fdL6JnmSLHemaiCrHpVyx0StbWw++7w85/DddfBoYeaF6CtsVEpDwnpdwBU8qDdDpxbVlbW/Y9wMPo6xrWxsTHmmjJTkzgkdPIUgM5AF19vaeKzDR7e+nojL3+944uFRVmpzCvNY35pAXuV5rN7SQ5pydGvSqFS3x0wNzULRkw3L30RDIK3zhxAN27aMaAOLbNX0LARNvy392OS0s3Bc4+TwZiXUvOMixEMqlV6Det9g5q5soi0XkcMmhNtwwz2bkxWvarlxkRlJZSWwqhR8NOfwgkn7HQX1TzEy2+sX3JTyUM0mfFebg6G122k7R3Ig531pia52XtCAXtPKODA/FZmz96T1XUtLN24nS8qt7O00tO9xF2K28XMkhzmjs9j7vh89hqfx5i89EFnoyOpN5btnnCvCZcLsovNy9idJsv4pqKCOTMm7lirunFT70vVMmhr6P2gpHRzEG2dsjx/Qo9LKaRmx/01nAi5skgED4nwmpBFpPU6YtDc1dUV7xKiQla9quVGzZ//DH/9K6xZA8XF8H//1+fdVPOQMH4jRCUP2q39uT3/ccr063IJZhTn8Hz5vxgFLFm4kLrmDr7c1MiyzdtZVtnI459t4oEPNwLmbPSccbnsOTaPPcflMXtsLnkZvf8RquB3OHIBSMuF4lwontX37Z2tPQbSPU5d3lgJmz6FsOOqySgkNWccFE2G/NAqI9Z1VrE5kI8BJd1KQDUPTvXriEFzohyXHenMjax6VcuNiPp687qoCM4+GzIyoKBgwIeo5iFR+m+kqOQhmsx4LzcHw+t2sPZGsj8b7r47MieN42YVc9wsc7UPf1eQVTUtfLlpOxWbG/lqcyNvrqzrvv+Ewgxmj81jjzG57DE2l/HZguzsvrOH8kmDSq+JiEnNglEzzUtftG+H7Rt7XCoxtq2FrV/At8+D0WMQkpRmzkgXTNpxKZxsXueMGfAEMI50GwOqeXCqX0cMmpOHcMKKeCCrXtVyB8XrhZkz4ZRT4J57zCXkrr120Iep5kH3X3m52q2auQCLFi0CdpwJ0fp94cKFO57f7WLWmFxmjcnlwv3NvzV3+Fm+pYmKLeYgeulGDy9+VdX9mElFmcwak8seY3LZvSSHmSU5O81IR4uKfiOl3zcP6fnmpWRu95/87e0kpadDl9887MOzATzrzUG19fO6tyHQsSPHnRIaRE/ZcW1dskY62m00qObBqX4dMWhub28nPT093mVEPFMlq17VcvvEMOCrr2DOHMjMhJtugv33jypCNQ+J0n8jRSUPsWTGY4bZIh5u+2tvJPuzROy7OWnJHDCliAOmFHX/rb61k2+2NvH5mhrWenx8HjaQHpOXzsySWcwcnUN7SwqjUgNcdNH3I16xQ6XXhEy663Un75hR5sjedwoGoaXKHEB71kPDWmgIXa95vfeqH6k5JOdNgFG7QeFUKApdCiZDcpo9tSqCan3MjlzDMGxZNScSIq3XEYPm7P4+b0tQZNWrWm6f3HknXH21OXCeNQsuvTTqCNU86P4rL1e7VTMXdswo9zXDHC1FWakcPn0kB03K755Ramjt5NuqZlZUN/NtVTPfVjXx5spaDCMXgPtveJ0ZxdnMGJ3NjOIcdhudzdRR2eSk7TwjpaLfwYjlcJWI6nW5dpykZeIhvW8Ldpkz1A3rzEF0/Rpc9ath44fw9ZM77idc5pcRR0yHommh69BqImk5EbVP7xsSJ9cwDKqbOviuppnvalpYVdPCd9UtpCa7ePEnB0mpL5xI643boFkI4QaWAlsNwzhxKFnbt29PqLPPDDZTJate1XK7qamBtjaYNMk85XVSEsyYEXOcah4Srf8OhkoenO420uNuh+JhoGwZfsvLy8nIyJCyFmvPeguzUnsteQfQ5gvwXegf9nc1zXxX3cILFVU80rGp+z4luWlMHZXN9OJspo7MYnpxNjm0M2HsaKn1qsCQ63W5d6zIMcWcoa6vqzMzfd7ugTT1q2HbKvN63du9Z6dzxsCIGTByt9CyfLvByBmQ2ntQtMu5TYBcwzDY1tLJ6tpW1tS1mNe1LayqbaGlI9B9vzF56UwvzmbWmFzb64qm3r6I50zz1cBKILK3hQMwYsSIwe+UQMiqV7VcAAIB2G8/89jlxYshPx+uvHJIkap50P1XXq52q2ZuT4YywxzOYPVmpCSx1/h89hqf3/03wzCoaupgZVUzq+taWFPbyqqaFj5e39B9MhYwB9OTR2YxdWQ2U0ZmMWVkFpNGZFKYmRLzR8zx7L+xfDFW6ms4JRNG72leetIVMFf02LYKtq00r+tWwucf9j52One8+aXGkeZlxMjdIJAHSWosjabSa7graOAVGby1spZ121pZV+dl7bZW1ta10tTu775fXkYy00Zmc/KcEqYX5zCjOJtpo7LJTR/+46Ej9RCXQbMQYizwPeBGYPBvdg2CdZpIVZBVrzK5hgFvv22ugpGUZB6SMW2abfHKeJCcKwuVPDjVbbQfnauwzXq2aezYsVJWMYmlXiEEY/LSGZOXzlEzR3X/PdAVZJOnjdW1LSxbV01tu2BNXSuPfVZJh3/HYDonLYmJI7KYXJTJxKJMJo3IYkJRBqWFmWSlJg3YTqf2X1sz3UnmShyFk2FGj3X7g13mFxC3fQd1K6B2hTmYXvsmBAMIAFeyOStdPAtGzYJRu0PxHpBZ1M+TxY9Eew0bhkF9q48N9V421ntZX+9lQ31r6Pc2fF07XgNFWSlMGpHFibNHM3VkFtNGmYc6FWXF/obSbiL1EJfTaAshngFuArKBX/R1eIYQ4nLgcoDRo0fPW7x48fAWCTQ0NAx4DnJNbOS9+ioTfvMbvvzrX3Edc0y8y3Esuv/KI95uV69eDUBLSwuw43i8aTa++RxuerYpMzMTV2hdX9XaFDQMtnm72NIcYGtLgKqWAFubzeuG9t5rwealuchz+ylKDTJ9TCGjstwUZyUxMtNNbqpL2oAi3v03noguH6mtm0lvXk9a8zrSm9aR3ryO5I4dJ3PxpRXRnjvVvOSZ176M4ohOM+4kt11Bg4b2Lmpau6hpDfS4mL+3+XeMH5NcUJyVxOisJMbkJDE2dBmTnUx2amxrdPfFcPmdO3dun6fRHvZBsxDiROAEwzB+JIQ4jH4GzT2ZP3++sXTp0n5vr6qqoqSkxNY6Qd45zmXVm9C5W7aYp76eNw/8fnjqKSpmzGDOvHn2FNmDhPYwjLm6/zrfbaSzsSptM+uY5rPOOsvWXIi/hzZfgA31Xiob2nj29ffx+NxUtQRoCabSRu/DBDJS3BRnJzNpZC5j89MZm2/Odo8JXRcM4bCPROm/8crsM9dbD7XLoWY51HwDNV+bh3pY602n5sLo2ebhISVzzUv+xJ1O2qKS20BXkK/XbqIrNYet29vZ7Gljy/Z2Nm83r6sa2wkEd4wRk92CcfkZjC/MoLQgg4lFmUwoymRSURYleWkkuXe4UH3fK4Toc9Acj8MzDgROEkKcAKQBOUKIRwzDuCDWQBkbRiay6k3YXMOAk04ylxpatgySk80v/FVU2FJfOAnrYZhzZaGSB+1WzVxZxNtDRkoSu5fksntJLnVftANQ6TMPsRk9rpTtfjfzDj6Gzdvb2ORpY7PHHMh8vK4er6/3LHV6spuSvDRG56YzOjfNvOSlUxz6eVR2GnkZycP68bdKr+GdcjOLYNJh5sXC324e2lH9tTmIrqqAz+6FLnPt8O6BdMlcGDPPvEiaiIzWQ6AryLbWTqqbOqht6jCvm83rqkZzQFzT3EEwrNwR2amMy09nzrg8Fuw5mrH55gB5fGEGo3PTcbsi609O3TcM+6DZMIzrgOsAesw0xzxgBqiurlbquC9Z9SZUbjAIzz0HJ59sDpLvugtGjozo462hklAe4pgrC5U8ON1tpMf7qrTNysrKqJD0hjqRPETyRTsr1zAMmtr9bNneztbGdraGrqsa26lu6mDJmnrqWnYeAKW4XYzMSWVkdiqjctIYlZNGUVYK7du9NKTWUpSVyojsVAqzUkhN6v+sfJGi0ms4otzk9B2DYYsuv3lsdNUyqK4wB9Kf3tW9gsfuqQWwcp/Q4/Yyr9Pz+4yPtt7i4mJaOgPUt3TS4PVR39LJttZO6po72dbSSV1LB3UtndS1dNLQ2rlzf0hyUZyTxpi8dPafXMSYvDQyhY/dSospyTM/zUhLHno/sOp14r7XEes0FxcXx7uEqJBVb0LlvvsunHkmPPKIOau8zz6219UfCeUhjrmyUMmDdqtmrixU82DlCiHIy0ghLyOl32W4/F1BtrV0Ut1kDqTrmjupbTGv61o6WFPXygdr63cs7fV570Mes1OTKMhKIT8jhcLMFAoyU7p/z0tPJi8jOVRDMnnpKeSmJ5OW3Pu4a5VewzHnupNDh2nMBi4y/xbohNpvYesXtHzzJgXbN8Lq14DQqLVoGozdB8bOh7F7w8jdCOKipSNAU7ufpnY/je0+mtr9bG/zs93rw+P1sb1tx3VDq4+G1opeX7CzcAlzCcWR2eZlVkkuo3JSKc5Npzg3leIc8xOI/D4+eZB1AhGn7hviOmg2DONd4N2h5mzbtk2p9RZl1Rv33I0bYdUqOPZYOPxwePVViMMX/eLuIUFyZaGSB+1WzVxZJKKHgT4tiCY32e2iJC+dkryBz2rW4e/i/c+WMXL8FLa1dFLfas5SekIDNY/XR3VTB99WNePx+vocpO14TkF2WjI5aUnkpCeT6jIozM4gMzWJrFS3eZ2WRFZqEhkpSWSkuElPdpOe4u7+OS10SU12kZrkIsXdeyCeCNssGDTwdQXpDATp8HfR7uui3d9l/hz63esrpo1jWZ21G3kTRuEf30R+43JGNn3DWO9yJn31EjkVjwDgJY1lwSl83jWdpcY0KoJT8NJ7u2WnJZGfkUJ+ZgpFWalMyEthTFEORZmprFj2KZlJQc499URGZKVSmJUa8WETQ/GQCLmyiLReR8w05+cP/aOP4URWvXHP/dGPYPlyWL/eXEruuOOk1DMYcfeQILmyUMmDdqtmrixU8yAjNy3ZzcjMJOaMyxv0voZh0O7vorHNz/Y2H01tfhrbzZ+b2wM0d/hp6fB3/9zY5mN9fSutHQFaOwN4fV10hR8jEAGpSeYAOtntIsktSElykeza8bvbJXAJ89otBC4XuF0CYS4k1+dRgEHDIBiELsPAMAy6ggZdxhq6gkECXQaBoEGgK0ggaOAPDZB9oUsg6jY0kZLkIjOlhOy0UrLSTiE7183kpG3sHlzFVN8KprUt58C25xAYGMJFW/5MfCV745pwAOlTDiYlr/ehAn6/v/tsluXr3wdg95Khn/xDpb4rk0jrdcSguaWlhYKCgniXETGy6h323K4uePBBOPVU86Qkt98OaWnmgDmOOMZvgqKSh0R0O9AxrCq5lZkrC9U8hOfKWLt6IIQQoRnipEFnsAE8Hk+veg3DoDMQNAfQnQHa/V20+bro8JnX1ixtZ1eQTn8XnYEe14Eg/q4grW3tuJNS8HWZg1t/V5Cu0KA3aF0HzcNTrOeE7gMjMAzz8AWXMAfaQoDb5UIYAbLSUkh2mYPvZLcLt0uQ5BYku1ykJpuz3ilJOy6pSdZMuYu0JDdpKW7SksyZ86xUNxkpSaxfvZJ9580h2R3BMmsdTbDlc8SmT8nc/AmZq56C5Q+YtxVOgdIDoPRAKD2AlmAWL774IhDdqc0HI5q+G83zOXXf4IhBc3r64C/mREJWvcOe+913cNll0NwM11wDU6ZIef5ocYzfBEUlD9qtmrlDYaB/7Kp5SES/AxFerxCi+/CLoqzUmDLb29uleJCVW5fiimzADJCWC1OOMi9gfsmw+muo/BAqP4IVL8CXDwGQlzuOA7tKqE6bisdIp0VkDxAcObrvmkRaryMGzX6/X6kNJKveYcldswY++gguugh23x0+/RTm77SUYVxR2q8CqOQhkdxGchY/ldzKzJWFah6s3GjPABkvVHoNJ2TfdSfD2Hnm5cCfmqtQ1a2Ayg/pWvMOU7d+wtT6TzkEaHYXkVNwAkw81FxjOsazGEbiIZb+l5B+ByDSeh0xaE6U0zBGiqx6hyX3b3+DZ5+F00+HrCzYe28pzzkUlParACp50G7VzI2FSP6xq+YhkfxGgkqvYSXculzmKb6LZ9Ex8zySMzOhdjmfPXULxR1ryfl2x0w0xXvsWGd6/AGQkhHRU+zSfnsQab2OGDS73fasKzhcyKpXSm4gQOr998P3vgdTp8KNN8If/2gOmBMUpfxKzJWFSh4SyW0k6/Kq5FZmrixU82DlRtJ3EgGVXsNK9l2XC0bPZp+rHzT/GOwy14le/w6sfxc+vRs++ie4U2DcvqFDP46EUbP6PUdCJB5i6X9K+o0ARwyafT4fGRmRvatKBGTVKyW3vp7k3/4Wtm+HP/wBRoywN18CSvmVmCsLlTxot2rmxkIk/9hV85BIfiNBpdewI9y63DsO5zjkF+Brg00fm4Pode/Am783L1nFMPkIcwA9+QjIKBg4V1a9CUyk9UZ4tHp8EEIsEELc4/F4aGtro6WlhebmZtrb2/F4PPj9furq6khPT6e6uhowzx8O5tldDMOgrq4Ov9+Px+Ohvb2d5uZmWlpaaGtro7GxEZ/PR319PcFgkJqaml4ZbW1tANTW1hIIBGhoaKCjo4Ompia8Xi9er5empiY6OjpoaGggEAhQW1vbK8O6rqmpIRgMUl9fT1JSEo2NjQO2yTCMqNskhBi0Tdb1QG1q+fRT/H/6k9mmoiJq//c/uOGGAdvk8/mktCmS7RTeps7OTlu2U3iburq6pLQpLS0tpu00WJus/mv3dkpOTrZlO4W3yTAMW7ZTzzYlJydL6XuW21i20/HHH09ZWVmfbUpLS5Pyeurq6rJtO/VsU2dnpy3byc7XE9C9NFd4PV6v15Z9eXl5OY888kh3m4QQUtqUlJTUazuVlZVxTGjt+6HsI8L7r13bKT093dZ9eUNDA2632/Z9eXNzMy6XS8r/p3C3duzLq6qqyMjIGHw7dQk8BXPxH/576k7/L8a1K2k87C9QegDB716BZy/F+NtkjPuOpnXxDfg3f4mvszPi7XTMMcf02ncN1KZAIGDrvlz2OKK5ublXm/pDWMuzJDLz5883li5d2u/t9fX1FBXFdhD8QFRUVDBnzhzbc2XVa1vujTfCzTfDihUwerT2q2iu9qvdqpqb6H7DZ7O1XxOVXsO7nNtgl3nq7zVvwJrXzJ+BrsxRuKcfC9OOM4+HTslMjHr7Ybj8CiG+MAxjp1UOHHF4hkprAYK8emPO9fngzjvNVTAOPhiuvRauuAJCHUj7VTNXFip50G7VzJXFUOvt78uGF1544ZBy+2NX8ztcmTJzZTHk9bpd7tBpvOfD4ddBSy2sfQPX6tfh2+fNLxQmpZkD5+knmIPo7FG21KsCkdab0IdnREpdXV28S4gKWfXGnNvVBbfeCv/9r/l7enr3gHlIuXEi4fzGKVcWKnnQbtXMlYVqHrRf7dbC9nqzR8HcC6g99P/BL9fBhS/AvIvNJe5e+incMh3uOwqW3AL1a+Jfr2QirdcRh2fIQtbHAAnB11/D3XfDP/9pfiO3rg6G+TzxjvabAGi/8tBu5ZLofhN9FYvBSHS/KiPTbfgnHaWlpYDN/dAwzIHzd4th1WKo+tL8+4gZsNsC81I8u9/VOGQzXH23v8MzHDHTbB3IrQqy6o0qd/lyePJJ82QlMOCAWftVM1cWKnnQbtXMlYVqHrRf7dZi2DwIAaN2h0N/CZe/A9euhOP/BpkjzFnnuw+B22bDa9fD5s/ME7AMY72yiLRePdM8AI56N+73wy23QGkpnHuu+W6yuRlyc+NWkqP8JiDarzy0W7lov3LRfuUxHG7j9kmHt8GcfV75krmsXZcPcsbC7qfA7qfCmHnSZ6D1TLMNOPUdja25bjc8/zy89575uxARD5i1XzVzZaGSB+1WzVxZqOZB+9VuLRLCQ2Yh7PV9OP8p+OVaOPVu84yFn94N9x0J/5gNr/8WqpZRtXWrlHplEakHR6yeUVJSEu8SokJWvTvlfv21efa+Bx+EzEx4882YzuSn/aqZKwuVPGi3aubKQjUP2q92a9GzXjtnmGP2kJYLe55jXtobYdWr8O1/4ZO74KN/UlI4BfY4E2adAUVTbKtXFpF6cMRMs7VotirIqnen3NZW+OADWLnS/D3GU19rv2rmykIlD9qtmrmyUM2D9qvdWiS0h/Q8mHNuaAZ6DSy4nc60Inh3EdwxD+4+FD66A5qrI44sLy/vPgxlOIjUgyNmmgsLC+NdQlTIqrewoMA81XVqKixcCAccABs3Qlra0HK1XyVzZaGSB+1WzVxZqOZB+9VuLZTxkJ4P8y7Cvef50FZnzj5/8zS8fj288TtzHeg9z4UZ37PtRCp2EKkHR8w0NzU1xbuEqJBVb1NzM3z3HaxateOPQxwwg/araq4sVPKg3aqZKwvVPGi/2q2Fah6ampogpwT2/zFc/i785As4+BdQvxae+wHcPA2e/xFseL/XChzWDHNlZSWVlZXDNuMcqYeEHjQLIRYIIe7xeDwDnos8IyNDyrnIrXPID/Wc8dD7/OrJycm2nV+9Y+lSAgcfTOt33+FyuWi8/XZ8d9/db5siOWd8eJssD4l6zvjwNvl8Plu2U3ibgsGglDalp6fbsp3C22RtN7u3U0pKii3bKbxNQghbtlPPNqWkpEjpe+GvCbv2Eenp6VJeT8Fg0Lbt1LNNPp/Plu00XPuItrY2W/flVptcLpeUNiUnJ9u6L7faFN5/7dpOGRkZtu7LGxoaSEpKsn1f3tzcjNvtltL3+vt/OdR9RGZmppTXk9/vt31f7vV66erq6t2mrmw44nqqznoVyhbjnXgsrHgRHlyAcdsetL3yO3x1a3G73bhcLlJTU0lLS0MIgdvtlr6PaG1t7dWm/nDEknNNTU3kSlg6TdbSJrbWu3EjHHUUlJfTtMceUjzs0n4VztV+tVtVc7Vfubkq+U10t+HLv6nkNu65vjZzCbuKR2HdO4ABEw+Fud/n4aXb6XKl7PSlx+Hy29+Sc444pjkpSa1mDLneP/4Rtm41z+g3YQKsXg0uF0lery31hbPL+XVIrixU8qDdqpkrC9U8aL/arYVqHiLKTcmAPc4wL42b4avHYdnD8NxlnC3SWZc1D4LfB5dbSo1R14tDBs27BIaxY9Hwjg7o7ISuLnP9ZVdCH2Wj0Wg0Go2jCD+ltfW7PmlMjOSNg0N/ZR73XPkBKcseYbe2hmEZMEeDIwbNAx1/kohEXe+qVeZZ/O65B+bPhxtv7POsO7I8ON6vQ3NloZIH7VbNXFmo5kH71W4tVPMQc67LBRMPMS/DePhwpPU6YtCcmpoa7xKiIuJ6g0GzA40eDSkp5mmvod/TVMry4Fi/Ds+VhUoetFs1c2WhmgftN3HdWsfa9nVMswwS1YPUXMmn5O5JpPU64nN9r6RjeWURUb033ghHH22+08rJgY8/hiOOGHpuDDjS7y6QKwuVPGi3aubKQjUP2q92a6GaB6f6dcRMs4xvfsqk33oDAfMYZSFg1P9v72xj5CrPM3w9sYm/jQ02eBdTm1QlBBywjaOQQivxETWiCfAPKpJitRGiSlNa0Q8QUvMjoUUtoo1S1MoC6kSxklbEtBBBBEpRokYNjQHzFafJj9jEeD9nvDvDzq53l33648yY9bDr3fWed4+f4/uSVjszO77nfq8ze/zuO2fmnA8XXZQdv7xs2az+4krloTR+z7DcVETyILcxc1MRzYP8nv5u8zyl9ck43T0sVG4qZtu3FCvNlUql6ApzYsq+b70FV1wBe/dm1z//eXj00WzCPJ/cHCiF3zMwNxWRPMhtzNxURPMgv3LbIpqHsvotxaT5/PPPL7rCnDih77Fj2ffOTrj44uxQjDxycyS03zM4NxWRPMhtzNxURPMgv3LbIpqHsvotxaS5dUaXKBzv+9BDcPnl2cR58WJ48snsOOb55uZMWL9neG4qInmQ25i5qYjmQX7ltkU0D2X1W4pJc2dnZ9EVZs/oKJ3r1mWXt27NzubXWm2eJ6k8hPJLPA/ymy5XbmPmpiKaB/mV2xbRPJTVbykmzWH+oqlW4bLLGPzKV7LrN9wAjzwyr0MyJqO/GDOieZDfdLlyGzM3FdE8yK/ctojmoax+T+tJs5l9xsx2VatVGo0G9XqdWq3G8PAw1WqVsbExent76ejooKurC3hv4F1dXbg7vb29jI2NUa1WGR4eplarUa/XaTQaDAwMMDo6Sn9/PxMTE3R3d5+Q0Wg0AOjp6WF8fJxKpcLIyAiDg4MMDQ0xNDTE4OAgIyMjVCoVxsfH6enpOSHjyJEjMDBAd3c3E2vWMHzttSz/+McZGBg46Zjcfc5jWrNmzYxjan2fy5gWLVo0ZUZ3dzcTExP09/czOjqaZEyz2U7tY1qyZMmpbacZxrRy5cokY9qwYUMu26l9TK3nb97baf369blsp/YxnX322blsp8ljWr9+fZLnXsttHttp8pg2bNiQ5Pdp5cqVuW2nyWNasmRJLttpofYRixYtymU7tY9pzZo1Sca0bt26XPflrTG1P3/z2k4dHR257ssrlQrnnHNO7vvyWq3G2rVrkzz32t3mtY/o7OxM8vu0dOnS3PflQ0NDrFixItd9eep9RIvWmKbF3U/7ryuvvNJPRldX10l/fqq88sor8w955BH3tWvde3uP35Sqb7TcXPxOQTQP8psuV25j5spv2txIfuU2I5qH6H6BfT7FfPS0XmmeLeedd17RFU5kZOS9s/dddx3s3Jmd0a9Jqr7RclMRzYP8psuV25i5qYjmQX7ltkU0D2X1W4pJc7VaLbrCe4yMwEc/Cvfdl12/5BJ4+GGY9MHZqfpGy01FNA/ymy5XbmPmpiKaB/mV2xbRPJTVbynOCLg6pzfSzYvDh2HjRli6FO66K/tkjGlI1TdabiqieZDfdLlyGzM3FdE8yK/ctkjtYffu3UB+Zzgsq99SrDS3DrwvjG98Izvl9ZtvZtfvuQeuv37au6fqGy03FdE8yG+6XLmNmZuKaB7kV25bRPNQVr+lWGn+4KTjhReMoSEYHMzO5HfjjXDvvXDhhbP6p6n6RstNRTQP8psuV25j5qYimgf5Pf3d5r1COx2pPDz11FNMTExw6NAhIL/xlPW5W4pJ87vvvruwDzgxAVddlR2O8eyzsG4dfPnLs/7nqfpGy01FNA/ymy5XbmPmpiKaB/mV2xbqm5bZ9i3FpDn7dJAF4I03YMsW+MAH4P77s0nzKZCqb7TcVETzIL/pcuU2Zm4qonmQ39PXbWtFtn2FdutJ3s80H1J5uOWWW1i9enXuK+Zlfe4u+DHNZnahmb1gZgfM7E0zu3u+mWeddVYe1d5jzx7YvJkrtm+HzZuz608/nX0qxnPPZfe57Ta45ppTis+9b9DcVETzIL/pcuU2Zm4qonmQX7ltEc1DWf0W8UbAceAed/8IcBXwBTO7dD6Bw8PDuRQDsgnynXfCoUOYOxw6lF2vVuGhh+Dqq+f9ELn2DZybimge5DddrtzGzE1FNA/ye/q63blzJzt37mTTpk1s2rTp+PVUpPaQd/+yPncX/PAMd+8CupqX62Z2ALgA+OmpZq5atSqndmSHXbS/i7LRgC99CQ4ezOUhcu0bODcV0TzIb7pcuY2Zm4poHuRXbltE81BWv1bkcSdmthn4IbDF3WttP7sTuBOgo6PjymeeeWbanOHhYZYtW5ZLpyu2b89WmNtwM159+eVcHiPPvpFzK5UK5557bu650TzIb7pcuY2ZK79pcyP5lduMaB6i+922bdtL7r6j/X6FTZrNbCXwA+ABd997svvu2LHD9+3bN+3P3R0zy6fY5s3ZIRntbNqU20pzrn0D5+7fvz/JmyaieZDfdLlyGzNXftPmRvIrtxnRPET3a2ZTTpoLObmJmZ0FfAfYM9OEeTZ0d3fPv1SLBx6A5ctPvG358uz2nMi1b+DcVETzIL/pcuU2Zm4qonmQX7ltEc1DWf0W8ekZBjwGHHD3h/PI7OjoyCMm4/bbYdcu2LQJN8tWmHftym7PiVz7Bs5NRTQP8psuV25j5qYimgf5ldsW0TyU1W8RK81XA58DrjOz/c2vG+cTeOTIkXyatbj9djh4MDuG+eDBXCfMkKBv0NxURPMgv+ly5TZmbiqieZBfuW0RzUNZ/Rbx6Rn/DeR6oEtnZ2eecclJ1TdabiqieZDfdLlyGzM3FdE8yK/ctojmoax+CzmmOW+6urqKrjAnUvWNlpuKaB7kN12u3MbMTUU0D/Irty2ieSir31JMmjds2FB0hTmRqm+03FRE8yC/6XLlNmZuKqJ5kF+5bRHNQ1n9lmLS3NfXV3SFOZGqb7TcVETzIL/pcuU2Zm4qonmQX7ltEc1DWf2WYtK8du3aoivMiVR9o+WmIpoH+U2XK7cxc1MRzYP8ym2LaB7K6rcUk+Z6vV50hTmRqm+03FRE8yC/6XLlNmZuKqJ5kF+5bRHNQ1n9lmLSnOJUjSlJ1TdabiqieZDfdLlyGzM3FdE8yK/ctojmoax+T+tJs5l9xsx2VatVGo0G9XqdWq3G8PAw1WqVsbExent7GR0dPf7Ox9Zn7XV1deHu9Pb2MjY2RrVaZXh4mFqtRr1ep9FoMDAwwOjoKP39/UxMTBw/I0wro9FoANDT08P4+DiVSoWRkREGBwcZGhpiaGiIwcFBRkZGqFQqjI+P09PTc0JG63t3dzcTExP09/cff+yTjcnd5zymer0+45ha3+cypukyJo9pdHQ0yZhms53ax9TX15fLdmof09GjR5OM6dixY7lsp/YxtZ6/eW+n1v3nu53ax1Sr1XLZTpPHNDw8nOS513Kbx3aaPKZjx44l+X06evRobttp8pj6+vpy2U4LtY/o7u7OdV/eGlNr/5v3mBqNRq778taY2p+/eW2n0dHRXPfllUrl+Djy3JfXajXeeeedJM+9drd57SPGxsaS/D719/fnvi8fGhqiWq3mui9f6HnEdJi7T/vD04UdO3b4vn37pv15vV5n1apVuT9uqnOcp+obLVd+0+bKr9xGzZXftLmR/MptRjQP0f2a2UvuvqP9fqf1SvNsWbRoUdEV5kSqvtFyUxHNg/ymy5XbmLmpiOZBfuW2RTQPZfUbYqXZzPqAQye5y9nAYIKHXgf0J8hN1TdarvymzZVfuY2aK79pcyP5lduMaB6i+93k7uvfdy93D/8F7EqUuy9Y32i58iu/SXPlNmyu/Mqv3Mb2UEq/pTg8A3i66AJzJFXfaLmpiOZBftPlym3M3FRE8yC/ctsimodS+g1xeEZRmNk+n+JAcJEP8psW+U2H3KZFftMiv+mQ27QU7bcsK82p2FV0gZIjv2mR33TIbVrkNy3ymw65TUuhfrXSLIQQQgghxAxopVkIIYQQQogZ0KR5CszsQjN7wcwOmNmbZnZ30Z3KhpktMrNXzOy7RXcpG2a2xsyeMLOfNZ/Dnyi6U5kwsz9r7hfeMLNvmdnSojtFxsweN7NeM3tj0m3nmNnzZvaL5ve1RXaMyjRu/765b3jNzJ40szUFVgzNVH4n/ezPzczNbF0R3crAdH7N7Itm9n/N/fDfLWQnTZqnZhy4x90/AlwFfMHMLi24U9m4GzhQdImS8lXge+5+CXAF8pwbZnYB8CfADnffAiwCbiu2VXh2A59qu+1e4Pvu/hvA95vXxdzZzfvdPg9scffLgZ8D9y10qRKxm/f7xcwuBD4JvLXQhUrGbtr8mtm1wM3A5e5+GfDQQhbSpHkK3L3L3V9uXq6TTTouKLZVeTCzjcDvAo8W3aVsmNlq4LeBxwDcfdTdBwotVT4WA8vMbDGwHDhScJ/QuPsPgWrbzTcDX29e/jpwy0J2KgtTuXX359x9vHn1x8DGBS9WEqZ57gL8A/CXgN40Ng+m8ftHwIPufqx5n96F7KRJ8wyY2WZgG/BiwVXKxD+S7VAmCu5RRj4E9AH/2jz85VEzW1F0qbLg7m+TrWy8BXQBg+7+XLGtSsn57t4F2SIGcF7BfcrKHwDPFl2iTJjZTcDb7v5q0V1KysXAb5nZi2b2AzP72EI+uCbNJ8HMVgLfAf7U3WtF9ykDZvZpoNfdXyq6S0lZDGwH/tndtwFD6KXt3GgeW3szcBHQCawws88W20qIuWNm95Mdirin6C5lwcyWA/cDf110lxKzGFhLdujsXwD/bma2UA+uSfM0mNlZZBPmPe6+t+g+JeJq4CYzOwh8G7jOzL5ZbKVScRg47O6tV0aeIJtEi3y4Afilu/e5+xiwF/jNgjuVkR4z6wBofl/Ql2DLjpndAXwauN31ubN58utkf1C/2vw/biPwspltKLRVuTgM7PWM/yV7xXrB3mypSfMUNP9qeQw44O4PF92nTLj7fe6+0d03k72B6r/cXSt1OeHu3cCvzOzDzZuuB35aYKWy8RZwlZktb+4nrkdvtEzBU8Adzct3AP9ZYJdSYWafAv4KuMndG0X3KRPu/rq7n+fum5v/xx0Gtjf3yyIf/gO4DsDMLgY+CPQv1INr0jw1VwOfI1sF3d/8urHoUkLMki8Ce8zsNWAr8DfF1ikPzRX8J4CXgdfJ9qE6A9g8MLNvAf8DfNjMDpvZHwIPAp80s1+QfQrBg0V2jMo0bv8JWAU83/y/7V8KLRmYafyKnJjG7+PAh5ofQ/dt4I6FfLVEZwQUQgghhBBiBrTSLIQQQgghxAxo0iyEEEIIIcQMaNIshBBCCCHEDGjSLIQQQgghxAxo0iyEEEIIIcQMaNIshBBnCGa2VR+fKYQQp4YmzUIIceawFdCkWQghTgF9TrMQQgTGzDYD3wNeBLYBPwd+H7gM+CqwAjhGdpKQ14FlwNvA37r7vxVQWQghQqJJsxBCBKY5af4lcI27/8jMHgd+BtwF3OruPzGz1UAD+Cyww93/uLDCQggRFB2eIYQQ8fmVu/+oefmbwO8AXe7+EwB3r7n7eGHthBCiBGjSLIQQ8Wl/ybA2xW1CCCHmgSbNQggRn18zs080L/8e8GOg08w+BmBmq8xsMVAHVhXUUQghQqNJsxBCxOcAcIeZvQacA3wNuBX4mpm9CjwPLAVeAC41s/1mdmthbYUQIiB6I6AQQgSm+UbA77r7lqK7CCFEmdFKsxBCCCGEEDOglWYhhBBCCCFmQCvNQgghhBBCzIAmzUIIIYQQQsyAJs1CCCGEEELMgCbNQgghhBBCzIAmzUIIIYQQQsyAJs1CCCGEEELMwP8D1ssa+PzgC88AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "show('pct', 'mph', segments[segments.pct > 2], \n",
    "     'Miles per hour versus segment grade in percent')\n",
    "plt.plot((2, 6, 7), (2, 6, 7), 'ro:');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Both  best-fit curves are above the red circle at 6% and below the red circle for 7%, so  **my hill-index is 6**. We also see that I can cruise at 14 mph on a 2% grade, but only about 7 mph at 6% grade, and around 5.5 mph on 8% grades."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " # Speed versus Grade on Long Rides\n",
    "\n",
    "The plot above tell me how fast I should expect to climb a particular hill, but what about average time on longer rides? Here's a plot of my speed versus steepness (measured in feet climbed per mile rather than in percent)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "show('fpmi', 'mph', rides, 'Speed (miles per hour) versus Ride Grade (feet per mile)')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "So, I average a little under 14 mph when the overall route is fairly flat, with a lot of variability, depending more on my level of effort (and maybe the wind) than on the grade of the road. But when the grade is steeper than 50 ft/mile, my speed falls off quickly: down to 12mph at 80 ft/mile;  11 mph at 100 ft/mile; and around 10 mph at 120 ft/mile. Note that 120 ft/mile is only 2.3% grade, but if you figure a typical route is 1/3 up, 1/3 down, and 1/3 flat, then that's 7% average grade on the up part.\n",
    "\n",
    "I can use this to predict the time of a ride.  For example, if I'm in  La Honda and want to get to Pescadero, which  way is faster: the [coast route](https://www.google.com/maps/dir/La+Honda,+California/Pescadero,+California/@37.2905834,-122.3896683,12z/data=!4m19!4m18!1m10!1m1!1s0x808faed4dc6265bd:0x51a109d3306a7219!2m2!1d-122.274227!2d37.3190255!3m4!1m2!1d-122.4039496!2d37.3116594!3s0x808f062b7d7585e7:0x942480c22f110b74!1m5!1m1!1s0x808f00b4b613c4c1:0x43c609077878b77!2m2!1d-122.3830152!2d37.2551636!3e1) (15.7 miles, 361 ft climb), or the  [creek route](https://www.google.com/maps/dir/La+Honda,+California/Pescadero,+California/@37.2905834,-122.3896683,12z/data=!4m19!4m18!1m10!1m1!1s0x808faed4dc6265bd:0x51a109d3306a7219!2m2!1d-122.274227!2d37.3190255!3m4!1m2!1d-122.3658887!2d37.2538867!3s0x808f00acf265bd43:0xb7e2a0c9ee355c3a!1m5!1m1!1s0x808f00b4b613c4c1:0x43c609077878b77!2m2!1d-122.3830152!2d37.2551636!3e1) (13.5 miles, 853 ft climb)? We can estimate:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Coast: 70 min, Creek: 64 min.'"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "f'Coast: {estimate(15.7, 361)} min, Creek: {estimate(13.5, 853)} min.'"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This predicts the shorter but steeper creek route would be about 6 minutes faster (whereas Google Maps predicts the creek route would be 80 minutes, 2 more than the coast route—I guess Google lacks confidence in my climbing ability).  This is all good to know, but other factors (like the scenery and whether I want to stop at the San Gregorio store) are probably more important in making the choice."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# VAM\n",
    "\n",
    "Climbing speed is measured by [VAM](https://en.wikipedia.org/wiki/VAM_%28bicycling%29), which stands for *velocità ascensionale media* (for native Campagnolo speakers) or *vertical ascent in meters per hour* (for SRAM) or 平均上昇率 (for Shimano), or *Vm/h* (for physicists). The theory is that for fairly steep climbs, most of your power is going into lifting against gravity, so your VAM should be about constant no matter what the grade. (For flatish segments power is spent on wind and rolling resistance, and for the very steepest of climbs, in my experience,  power goes largely to cursing *sotto voce*, as they say in Italian.) \n",
    "\n",
    "Here's a plot of my VAM versus grade over short segments:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "show('pct', 'vam', segments, 'VAM (vertical meters per hour) versus segment grade in percent')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Champion cyclists can do over 1800 meters/hour over a 10 km climb, and can sustain [1400 meters/hour for 7 hours](https://www.strava.com/activities/4996833865).  My VAM numbers range mostly from 400 to 800 meters/hour, and I can sustain the higher numbers for only a couple of minutes:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>title</th>\n",
       "      <th>hours</th>\n",
       "      <th>miles</th>\n",
       "      <th>feet</th>\n",
       "      <th>mph</th>\n",
       "      <th>vam</th>\n",
       "      <th>fpmi</th>\n",
       "      <th>pct</th>\n",
       "      <th>kms</th>\n",
       "      <th>meters</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Camaritas climb</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.10</td>\n",
       "      <td>48</td>\n",
       "      <td>10.00</td>\n",
       "      <td>1463.0</td>\n",
       "      <td>480.0</td>\n",
       "      <td>9.09</td>\n",
       "      <td>0.16</td>\n",
       "      <td>15.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Paloma Climb</td>\n",
       "      <td>0.02</td>\n",
       "      <td>0.14</td>\n",
       "      <td>82</td>\n",
       "      <td>7.00</td>\n",
       "      <td>1250.0</td>\n",
       "      <td>586.0</td>\n",
       "      <td>11.09</td>\n",
       "      <td>0.23</td>\n",
       "      <td>25.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Klamath Dr.</td>\n",
       "      <td>0.02</td>\n",
       "      <td>0.12</td>\n",
       "      <td>77</td>\n",
       "      <td>6.00</td>\n",
       "      <td>1173.0</td>\n",
       "      <td>642.0</td>\n",
       "      <td>12.15</td>\n",
       "      <td>0.19</td>\n",
       "      <td>23.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Entrance Way Hill Repeats</td>\n",
       "      <td>0.02</td>\n",
       "      <td>0.10</td>\n",
       "      <td>76</td>\n",
       "      <td>5.00</td>\n",
       "      <td>1158.0</td>\n",
       "      <td>760.0</td>\n",
       "      <td>14.39</td>\n",
       "      <td>0.16</td>\n",
       "      <td>23.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Davenport Kicker</td>\n",
       "      <td>0.02</td>\n",
       "      <td>0.24</td>\n",
       "      <td>74</td>\n",
       "      <td>12.00</td>\n",
       "      <td>1128.0</td>\n",
       "      <td>308.0</td>\n",
       "      <td>5.84</td>\n",
       "      <td>0.39</td>\n",
       "      <td>23.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Valparaiso steep</td>\n",
       "      <td>0.04</td>\n",
       "      <td>0.18</td>\n",
       "      <td>145</td>\n",
       "      <td>4.50</td>\n",
       "      <td>1105.0</td>\n",
       "      <td>806.0</td>\n",
       "      <td>15.26</td>\n",
       "      <td>0.29</td>\n",
       "      <td>44.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Invernes to Firecrest Climb</td>\n",
       "      <td>0.04</td>\n",
       "      <td>0.28</td>\n",
       "      <td>143</td>\n",
       "      <td>7.00</td>\n",
       "      <td>1090.0</td>\n",
       "      <td>511.0</td>\n",
       "      <td>9.67</td>\n",
       "      <td>0.45</td>\n",
       "      <td>44.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Kings Mountain final sprint</td>\n",
       "      <td>0.04</td>\n",
       "      <td>0.31</td>\n",
       "      <td>135</td>\n",
       "      <td>7.75</td>\n",
       "      <td>1029.0</td>\n",
       "      <td>435.0</td>\n",
       "      <td>8.25</td>\n",
       "      <td>0.50</td>\n",
       "      <td>41.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Limantour Spit</td>\n",
       "      <td>0.09</td>\n",
       "      <td>0.47</td>\n",
       "      <td>303</td>\n",
       "      <td>5.22</td>\n",
       "      <td>1026.0</td>\n",
       "      <td>645.0</td>\n",
       "      <td>12.21</td>\n",
       "      <td>0.76</td>\n",
       "      <td>92.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Tunitas flattens</td>\n",
       "      <td>0.05</td>\n",
       "      <td>0.42</td>\n",
       "      <td>166</td>\n",
       "      <td>8.40</td>\n",
       "      <td>1012.0</td>\n",
       "      <td>395.0</td>\n",
       "      <td>7.49</td>\n",
       "      <td>0.68</td>\n",
       "      <td>51.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Tunitas flattens</td>\n",
       "      <td>0.05</td>\n",
       "      <td>0.42</td>\n",
       "      <td>166</td>\n",
       "      <td>8.40</td>\n",
       "      <td>1012.0</td>\n",
       "      <td>395.0</td>\n",
       "      <td>7.49</td>\n",
       "      <td>0.68</td>\n",
       "      <td>51.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Cemetery Sprint</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.08</td>\n",
       "      <td>33</td>\n",
       "      <td>8.00</td>\n",
       "      <td>1006.0</td>\n",
       "      <td>412.0</td>\n",
       "      <td>7.81</td>\n",
       "      <td>0.13</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Skyline Bump at OLH</td>\n",
       "      <td>0.02</td>\n",
       "      <td>0.21</td>\n",
       "      <td>63</td>\n",
       "      <td>10.50</td>\n",
       "      <td>960.0</td>\n",
       "      <td>300.0</td>\n",
       "      <td>5.68</td>\n",
       "      <td>0.34</td>\n",
       "      <td>19.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Laning Bump</td>\n",
       "      <td>0.03</td>\n",
       "      <td>0.24</td>\n",
       "      <td>94</td>\n",
       "      <td>8.00</td>\n",
       "      <td>955.0</td>\n",
       "      <td>392.0</td>\n",
       "      <td>7.42</td>\n",
       "      <td>0.39</td>\n",
       "      <td>29.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Faught Turn</td>\n",
       "      <td>0.02</td>\n",
       "      <td>0.22</td>\n",
       "      <td>60</td>\n",
       "      <td>11.00</td>\n",
       "      <td>914.0</td>\n",
       "      <td>273.0</td>\n",
       "      <td>5.17</td>\n",
       "      <td>0.35</td>\n",
       "      <td>18.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Westridge 3min</td>\n",
       "      <td>0.08</td>\n",
       "      <td>0.37</td>\n",
       "      <td>240</td>\n",
       "      <td>4.62</td>\n",
       "      <td>914.0</td>\n",
       "      <td>649.0</td>\n",
       "      <td>12.29</td>\n",
       "      <td>0.60</td>\n",
       "      <td>73.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Valparaiso steep</td>\n",
       "      <td>0.05</td>\n",
       "      <td>0.18</td>\n",
       "      <td>145</td>\n",
       "      <td>3.60</td>\n",
       "      <td>884.0</td>\n",
       "      <td>806.0</td>\n",
       "      <td>15.26</td>\n",
       "      <td>0.29</td>\n",
       "      <td>44.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Sharon Park steep part</td>\n",
       "      <td>0.03</td>\n",
       "      <td>0.21</td>\n",
       "      <td>86</td>\n",
       "      <td>7.00</td>\n",
       "      <td>874.0</td>\n",
       "      <td>410.0</td>\n",
       "      <td>7.76</td>\n",
       "      <td>0.34</td>\n",
       "      <td>26.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Old La Honda Mile 1</td>\n",
       "      <td>0.13</td>\n",
       "      <td>0.99</td>\n",
       "      <td>370</td>\n",
       "      <td>7.62</td>\n",
       "      <td>868.0</td>\n",
       "      <td>374.0</td>\n",
       "      <td>7.08</td>\n",
       "      <td>1.59</td>\n",
       "      <td>113.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Joaquin</td>\n",
       "      <td>0.09</td>\n",
       "      <td>0.33</td>\n",
       "      <td>254</td>\n",
       "      <td>3.67</td>\n",
       "      <td>860.0</td>\n",
       "      <td>770.0</td>\n",
       "      <td>14.58</td>\n",
       "      <td>0.53</td>\n",
       "      <td>77.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                        title  hours  miles  feet    mph     vam   fpmi  \\\n",
       "              Camaritas climb   0.01   0.10    48  10.00  1463.0  480.0   \n",
       "                 Paloma Climb   0.02   0.14    82   7.00  1250.0  586.0   \n",
       "                  Klamath Dr.   0.02   0.12    77   6.00  1173.0  642.0   \n",
       "    Entrance Way Hill Repeats   0.02   0.10    76   5.00  1158.0  760.0   \n",
       "             Davenport Kicker   0.02   0.24    74  12.00  1128.0  308.0   \n",
       "             Valparaiso steep   0.04   0.18   145   4.50  1105.0  806.0   \n",
       "  Invernes to Firecrest Climb   0.04   0.28   143   7.00  1090.0  511.0   \n",
       "  Kings Mountain final sprint   0.04   0.31   135   7.75  1029.0  435.0   \n",
       "               Limantour Spit   0.09   0.47   303   5.22  1026.0  645.0   \n",
       "             Tunitas flattens   0.05   0.42   166   8.40  1012.0  395.0   \n",
       "             Tunitas flattens   0.05   0.42   166   8.40  1012.0  395.0   \n",
       "              Cemetery Sprint   0.01   0.08    33   8.00  1006.0  412.0   \n",
       "          Skyline Bump at OLH   0.02   0.21    63  10.50   960.0  300.0   \n",
       "                  Laning Bump   0.03   0.24    94   8.00   955.0  392.0   \n",
       "                  Faught Turn   0.02   0.22    60  11.00   914.0  273.0   \n",
       "               Westridge 3min   0.08   0.37   240   4.62   914.0  649.0   \n",
       "             Valparaiso steep   0.05   0.18   145   3.60   884.0  806.0   \n",
       "       Sharon Park steep part   0.03   0.21    86   7.00   874.0  410.0   \n",
       "          Old La Honda Mile 1   0.13   0.99   370   7.62   868.0  374.0   \n",
       "                      Joaquin   0.09   0.33   254   3.67   860.0  770.0   \n",
       "\n",
       "    pct   kms  meters  \n",
       "   9.09  0.16    15.0  \n",
       "  11.09  0.23    25.0  \n",
       "  12.15  0.19    23.0  \n",
       "  14.39  0.16    23.0  \n",
       "   5.84  0.39    23.0  \n",
       "  15.26  0.29    44.0  \n",
       "   9.67  0.45    44.0  \n",
       "   8.25  0.50    41.0  \n",
       "  12.21  0.76    92.0  \n",
       "   7.49  0.68    51.0  \n",
       "   7.49  0.68    51.0  \n",
       "   7.81  0.13    10.0  \n",
       "   5.68  0.34    19.0  \n",
       "   7.42  0.39    29.0  \n",
       "   5.17  0.35    18.0  \n",
       "  12.29  0.60    73.0  \n",
       "  15.26  0.29    44.0  \n",
       "   7.76  0.34    26.0  \n",
       "   7.08  1.59   113.0  \n",
       "  14.58  0.53    77.0  "
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "top(segments, 'vam')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "On segments that are at least a kilometer long my VAM tops out at about 800 meters/hour:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>title</th>\n",
       "      <th>hours</th>\n",
       "      <th>miles</th>\n",
       "      <th>feet</th>\n",
       "      <th>mph</th>\n",
       "      <th>vam</th>\n",
       "      <th>fpmi</th>\n",
       "      <th>pct</th>\n",
       "      <th>kms</th>\n",
       "      <th>meters</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Old La Honda Mile 1</td>\n",
       "      <td>0.13</td>\n",
       "      <td>0.99</td>\n",
       "      <td>370</td>\n",
       "      <td>7.62</td>\n",
       "      <td>868.0</td>\n",
       "      <td>374.0</td>\n",
       "      <td>7.08</td>\n",
       "      <td>1.59</td>\n",
       "      <td>113.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Westridge</td>\n",
       "      <td>0.14</td>\n",
       "      <td>0.68</td>\n",
       "      <td>385</td>\n",
       "      <td>4.86</td>\n",
       "      <td>838.0</td>\n",
       "      <td>566.0</td>\n",
       "      <td>10.72</td>\n",
       "      <td>1.09</td>\n",
       "      <td>117.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Old La Honda (Bridge to Stop)</td>\n",
       "      <td>0.48</td>\n",
       "      <td>3.33</td>\n",
       "      <td>1255</td>\n",
       "      <td>6.94</td>\n",
       "      <td>797.0</td>\n",
       "      <td>377.0</td>\n",
       "      <td>7.14</td>\n",
       "      <td>5.36</td>\n",
       "      <td>383.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Old La Honda (Bridge to Stop)</td>\n",
       "      <td>0.51</td>\n",
       "      <td>3.33</td>\n",
       "      <td>1255</td>\n",
       "      <td>6.53</td>\n",
       "      <td>750.0</td>\n",
       "      <td>377.0</td>\n",
       "      <td>7.14</td>\n",
       "      <td>5.36</td>\n",
       "      <td>383.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Westridge</td>\n",
       "      <td>0.16</td>\n",
       "      <td>0.68</td>\n",
       "      <td>385</td>\n",
       "      <td>4.25</td>\n",
       "      <td>733.0</td>\n",
       "      <td>566.0</td>\n",
       "      <td>10.72</td>\n",
       "      <td>1.09</td>\n",
       "      <td>117.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Tunitas steep</td>\n",
       "      <td>0.25</td>\n",
       "      <td>1.20</td>\n",
       "      <td>599</td>\n",
       "      <td>4.80</td>\n",
       "      <td>730.0</td>\n",
       "      <td>499.0</td>\n",
       "      <td>9.45</td>\n",
       "      <td>1.93</td>\n",
       "      <td>183.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Old La Honda Mile 1</td>\n",
       "      <td>0.16</td>\n",
       "      <td>0.99</td>\n",
       "      <td>370</td>\n",
       "      <td>6.19</td>\n",
       "      <td>705.0</td>\n",
       "      <td>374.0</td>\n",
       "      <td>7.08</td>\n",
       "      <td>1.59</td>\n",
       "      <td>113.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Woodside Climb</td>\n",
       "      <td>0.13</td>\n",
       "      <td>1.71</td>\n",
       "      <td>295</td>\n",
       "      <td>13.15</td>\n",
       "      <td>692.0</td>\n",
       "      <td>173.0</td>\n",
       "      <td>3.27</td>\n",
       "      <td>2.75</td>\n",
       "      <td>90.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Huddart</td>\n",
       "      <td>0.17</td>\n",
       "      <td>0.92</td>\n",
       "      <td>385</td>\n",
       "      <td>5.41</td>\n",
       "      <td>690.0</td>\n",
       "      <td>418.0</td>\n",
       "      <td>7.93</td>\n",
       "      <td>1.48</td>\n",
       "      <td>117.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Top of Groton Rd heading west</td>\n",
       "      <td>0.13</td>\n",
       "      <td>0.92</td>\n",
       "      <td>291</td>\n",
       "      <td>7.08</td>\n",
       "      <td>682.0</td>\n",
       "      <td>316.0</td>\n",
       "      <td>5.99</td>\n",
       "      <td>1.48</td>\n",
       "      <td>89.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Watts (Sonoma)</td>\n",
       "      <td>0.14</td>\n",
       "      <td>1.20</td>\n",
       "      <td>313</td>\n",
       "      <td>8.57</td>\n",
       "      <td>681.0</td>\n",
       "      <td>261.0</td>\n",
       "      <td>4.94</td>\n",
       "      <td>1.93</td>\n",
       "      <td>95.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Tunitas steep</td>\n",
       "      <td>0.27</td>\n",
       "      <td>1.20</td>\n",
       "      <td>599</td>\n",
       "      <td>4.44</td>\n",
       "      <td>676.0</td>\n",
       "      <td>499.0</td>\n",
       "      <td>9.45</td>\n",
       "      <td>1.93</td>\n",
       "      <td>183.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Canon to No Cycling</td>\n",
       "      <td>0.09</td>\n",
       "      <td>0.75</td>\n",
       "      <td>198</td>\n",
       "      <td>8.33</td>\n",
       "      <td>671.0</td>\n",
       "      <td>264.0</td>\n",
       "      <td>5.00</td>\n",
       "      <td>1.21</td>\n",
       "      <td>60.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Canon to No Cycling</td>\n",
       "      <td>0.09</td>\n",
       "      <td>0.75</td>\n",
       "      <td>198</td>\n",
       "      <td>8.33</td>\n",
       "      <td>671.0</td>\n",
       "      <td>264.0</td>\n",
       "      <td>5.00</td>\n",
       "      <td>1.21</td>\n",
       "      <td>60.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Coe Second Switchback to flat</td>\n",
       "      <td>0.22</td>\n",
       "      <td>1.00</td>\n",
       "      <td>483</td>\n",
       "      <td>4.55</td>\n",
       "      <td>669.0</td>\n",
       "      <td>483.0</td>\n",
       "      <td>9.15</td>\n",
       "      <td>1.61</td>\n",
       "      <td>147.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Lower Redwood Gulch</td>\n",
       "      <td>0.22</td>\n",
       "      <td>1.03</td>\n",
       "      <td>474</td>\n",
       "      <td>4.68</td>\n",
       "      <td>657.0</td>\n",
       "      <td>460.0</td>\n",
       "      <td>8.72</td>\n",
       "      <td>1.66</td>\n",
       "      <td>144.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Lobitas Creek</td>\n",
       "      <td>0.20</td>\n",
       "      <td>0.96</td>\n",
       "      <td>430</td>\n",
       "      <td>4.80</td>\n",
       "      <td>655.0</td>\n",
       "      <td>448.0</td>\n",
       "      <td>8.48</td>\n",
       "      <td>1.54</td>\n",
       "      <td>131.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>West Alpine switchback</td>\n",
       "      <td>0.15</td>\n",
       "      <td>0.78</td>\n",
       "      <td>322</td>\n",
       "      <td>5.20</td>\n",
       "      <td>654.0</td>\n",
       "      <td>413.0</td>\n",
       "      <td>7.82</td>\n",
       "      <td>1.26</td>\n",
       "      <td>98.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Kaboom Portola Rd</td>\n",
       "      <td>0.05</td>\n",
       "      <td>0.67</td>\n",
       "      <td>102</td>\n",
       "      <td>13.40</td>\n",
       "      <td>622.0</td>\n",
       "      <td>152.0</td>\n",
       "      <td>2.88</td>\n",
       "      <td>1.08</td>\n",
       "      <td>31.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Huddart</td>\n",
       "      <td>0.19</td>\n",
       "      <td>0.92</td>\n",
       "      <td>385</td>\n",
       "      <td>4.84</td>\n",
       "      <td>618.0</td>\n",
       "      <td>418.0</td>\n",
       "      <td>7.93</td>\n",
       "      <td>1.48</td>\n",
       "      <td>117.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Kings Greer to Skyline</td>\n",
       "      <td>0.78</td>\n",
       "      <td>3.92</td>\n",
       "      <td>1536</td>\n",
       "      <td>5.03</td>\n",
       "      <td>600.0</td>\n",
       "      <td>392.0</td>\n",
       "      <td>7.42</td>\n",
       "      <td>6.31</td>\n",
       "      <td>468.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Woodside Climb</td>\n",
       "      <td>0.15</td>\n",
       "      <td>1.71</td>\n",
       "      <td>295</td>\n",
       "      <td>11.40</td>\n",
       "      <td>599.0</td>\n",
       "      <td>173.0</td>\n",
       "      <td>3.27</td>\n",
       "      <td>2.75</td>\n",
       "      <td>90.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Stage Rd</td>\n",
       "      <td>0.19</td>\n",
       "      <td>1.01</td>\n",
       "      <td>373</td>\n",
       "      <td>5.32</td>\n",
       "      <td>598.0</td>\n",
       "      <td>369.0</td>\n",
       "      <td>6.99</td>\n",
       "      <td>1.63</td>\n",
       "      <td>114.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Try not to fall back</td>\n",
       "      <td>0.21</td>\n",
       "      <td>0.71</td>\n",
       "      <td>410</td>\n",
       "      <td>3.38</td>\n",
       "      <td>595.0</td>\n",
       "      <td>577.0</td>\n",
       "      <td>10.94</td>\n",
       "      <td>1.14</td>\n",
       "      <td>125.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Sand Gill Sharon-top</td>\n",
       "      <td>0.07</td>\n",
       "      <td>0.85</td>\n",
       "      <td>136</td>\n",
       "      <td>12.14</td>\n",
       "      <td>592.0</td>\n",
       "      <td>160.0</td>\n",
       "      <td>3.03</td>\n",
       "      <td>1.37</td>\n",
       "      <td>41.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Sand Gill Sharon-top</td>\n",
       "      <td>0.07</td>\n",
       "      <td>0.85</td>\n",
       "      <td>136</td>\n",
       "      <td>12.14</td>\n",
       "      <td>592.0</td>\n",
       "      <td>160.0</td>\n",
       "      <td>3.03</td>\n",
       "      <td>1.37</td>\n",
       "      <td>41.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Mt Eden climb</td>\n",
       "      <td>0.14</td>\n",
       "      <td>1.02</td>\n",
       "      <td>272</td>\n",
       "      <td>7.29</td>\n",
       "      <td>592.0</td>\n",
       "      <td>267.0</td>\n",
       "      <td>5.05</td>\n",
       "      <td>1.64</td>\n",
       "      <td>83.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Tunitas lower climb</td>\n",
       "      <td>0.22</td>\n",
       "      <td>1.30</td>\n",
       "      <td>421</td>\n",
       "      <td>5.91</td>\n",
       "      <td>583.0</td>\n",
       "      <td>324.0</td>\n",
       "      <td>6.13</td>\n",
       "      <td>2.09</td>\n",
       "      <td>128.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Kings Greer to Skyline</td>\n",
       "      <td>0.81</td>\n",
       "      <td>3.92</td>\n",
       "      <td>1536</td>\n",
       "      <td>4.84</td>\n",
       "      <td>578.0</td>\n",
       "      <td>392.0</td>\n",
       "      <td>7.42</td>\n",
       "      <td>6.31</td>\n",
       "      <td>468.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Haskins</td>\n",
       "      <td>0.30</td>\n",
       "      <td>1.51</td>\n",
       "      <td>566</td>\n",
       "      <td>5.03</td>\n",
       "      <td>575.0</td>\n",
       "      <td>375.0</td>\n",
       "      <td>7.10</td>\n",
       "      <td>2.43</td>\n",
       "      <td>173.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                          title  hours  miles  feet    mph    vam   fpmi  \\\n",
       "            Old La Honda Mile 1   0.13   0.99   370   7.62  868.0  374.0   \n",
       "                      Westridge   0.14   0.68   385   4.86  838.0  566.0   \n",
       "  Old La Honda (Bridge to Stop)   0.48   3.33  1255   6.94  797.0  377.0   \n",
       "  Old La Honda (Bridge to Stop)   0.51   3.33  1255   6.53  750.0  377.0   \n",
       "                      Westridge   0.16   0.68   385   4.25  733.0  566.0   \n",
       "                  Tunitas steep   0.25   1.20   599   4.80  730.0  499.0   \n",
       "            Old La Honda Mile 1   0.16   0.99   370   6.19  705.0  374.0   \n",
       "                 Woodside Climb   0.13   1.71   295  13.15  692.0  173.0   \n",
       "                        Huddart   0.17   0.92   385   5.41  690.0  418.0   \n",
       "  Top of Groton Rd heading west   0.13   0.92   291   7.08  682.0  316.0   \n",
       "                 Watts (Sonoma)   0.14   1.20   313   8.57  681.0  261.0   \n",
       "                  Tunitas steep   0.27   1.20   599   4.44  676.0  499.0   \n",
       "            Canon to No Cycling   0.09   0.75   198   8.33  671.0  264.0   \n",
       "            Canon to No Cycling   0.09   0.75   198   8.33  671.0  264.0   \n",
       "  Coe Second Switchback to flat   0.22   1.00   483   4.55  669.0  483.0   \n",
       "            Lower Redwood Gulch   0.22   1.03   474   4.68  657.0  460.0   \n",
       "                  Lobitas Creek   0.20   0.96   430   4.80  655.0  448.0   \n",
       "         West Alpine switchback   0.15   0.78   322   5.20  654.0  413.0   \n",
       "              Kaboom Portola Rd   0.05   0.67   102  13.40  622.0  152.0   \n",
       "                        Huddart   0.19   0.92   385   4.84  618.0  418.0   \n",
       "         Kings Greer to Skyline   0.78   3.92  1536   5.03  600.0  392.0   \n",
       "                 Woodside Climb   0.15   1.71   295  11.40  599.0  173.0   \n",
       "                       Stage Rd   0.19   1.01   373   5.32  598.0  369.0   \n",
       "           Try not to fall back   0.21   0.71   410   3.38  595.0  577.0   \n",
       "           Sand Gill Sharon-top   0.07   0.85   136  12.14  592.0  160.0   \n",
       "           Sand Gill Sharon-top   0.07   0.85   136  12.14  592.0  160.0   \n",
       "                  Mt Eden climb   0.14   1.02   272   7.29  592.0  267.0   \n",
       "            Tunitas lower climb   0.22   1.30   421   5.91  583.0  324.0   \n",
       "         Kings Greer to Skyline   0.81   3.92  1536   4.84  578.0  392.0   \n",
       "                        Haskins   0.30   1.51   566   5.03  575.0  375.0   \n",
       "\n",
       "    pct   kms  meters  \n",
       "   7.08  1.59   113.0  \n",
       "  10.72  1.09   117.0  \n",
       "   7.14  5.36   383.0  \n",
       "   7.14  5.36   383.0  \n",
       "  10.72  1.09   117.0  \n",
       "   9.45  1.93   183.0  \n",
       "   7.08  1.59   113.0  \n",
       "   3.27  2.75    90.0  \n",
       "   7.93  1.48   117.0  \n",
       "   5.99  1.48    89.0  \n",
       "   4.94  1.93    95.0  \n",
       "   9.45  1.93   183.0  \n",
       "   5.00  1.21    60.0  \n",
       "   5.00  1.21    60.0  \n",
       "   9.15  1.61   147.0  \n",
       "   8.72  1.66   144.0  \n",
       "   8.48  1.54   131.0  \n",
       "   7.82  1.26    98.0  \n",
       "   2.88  1.08    31.0  \n",
       "   7.93  1.48   117.0  \n",
       "   7.42  6.31   468.0  \n",
       "   3.27  2.75    90.0  \n",
       "   6.99  1.63   114.0  \n",
       "  10.94  1.14   125.0  \n",
       "   3.03  1.37    41.0  \n",
       "   3.03  1.37    41.0  \n",
       "   5.05  1.64    83.0  \n",
       "   6.13  2.09   128.0  \n",
       "   7.42  6.31   468.0  \n",
       "   7.10  2.43   173.0  "
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "top(segments[segments.kms >= 1], 'vam', n=30)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "I can also look at VAM numbers for complete rides. I would expect the ride VAM to be half the segment VAM (or less) since most of my rides are circuits where I return to the start, and thus no more than half the ride is climbing. Sure enough, the best I can do is about 400 meters/hour:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>date</th>\n",
       "      <th>year</th>\n",
       "      <th>title</th>\n",
       "      <th>hours</th>\n",
       "      <th>miles</th>\n",
       "      <th>feet</th>\n",
       "      <th>mph</th>\n",
       "      <th>vam</th>\n",
       "      <th>fpmi</th>\n",
       "      <th>pct</th>\n",
       "      <th>kms</th>\n",
       "      <th>meters</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Sun, 11/29/2015</td>\n",
       "      <td>2015</td>\n",
       "      <td>Mt. Hamilton</td>\n",
       "      <td>3.68</td>\n",
       "      <td>37.00</td>\n",
       "      <td>4902</td>\n",
       "      <td>10.05</td>\n",
       "      <td>406.0</td>\n",
       "      <td>132.0</td>\n",
       "      <td>2.51</td>\n",
       "      <td>59.53</td>\n",
       "      <td>1494.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Fri, 4/2/2021</td>\n",
       "      <td>2021</td>\n",
       "      <td>Everesting 5: climb 2×(OLH + WOLH)</td>\n",
       "      <td>3.27</td>\n",
       "      <td>31.48</td>\n",
       "      <td>4344</td>\n",
       "      <td>9.63</td>\n",
       "      <td>405.0</td>\n",
       "      <td>138.0</td>\n",
       "      <td>2.61</td>\n",
       "      <td>50.65</td>\n",
       "      <td>1324.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Mon, 3/29/2021</td>\n",
       "      <td>2021</td>\n",
       "      <td>Everesting 1: Mt Diablo</td>\n",
       "      <td>2.60</td>\n",
       "      <td>22.22</td>\n",
       "      <td>3406</td>\n",
       "      <td>8.55</td>\n",
       "      <td>399.0</td>\n",
       "      <td>153.0</td>\n",
       "      <td>2.90</td>\n",
       "      <td>35.75</td>\n",
       "      <td>1038.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Tue, 3/30/2021</td>\n",
       "      <td>2021</td>\n",
       "      <td>Everesting 2: Kings + WOLH + OLH</td>\n",
       "      <td>3.34</td>\n",
       "      <td>35.99</td>\n",
       "      <td>4377</td>\n",
       "      <td>10.78</td>\n",
       "      <td>399.0</td>\n",
       "      <td>122.0</td>\n",
       "      <td>2.30</td>\n",
       "      <td>57.91</td>\n",
       "      <td>1334.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Sun, 12/1/2013</td>\n",
       "      <td>2013</td>\n",
       "      <td>Mt. Hamilton</td>\n",
       "      <td>3.78</td>\n",
       "      <td>37.56</td>\n",
       "      <td>4921</td>\n",
       "      <td>9.94</td>\n",
       "      <td>397.0</td>\n",
       "      <td>131.0</td>\n",
       "      <td>2.48</td>\n",
       "      <td>60.43</td>\n",
       "      <td>1500.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Sat, 11/25/2017</td>\n",
       "      <td>2017</td>\n",
       "      <td>Mt. Hamilton</td>\n",
       "      <td>3.69</td>\n",
       "      <td>36.65</td>\n",
       "      <td>4806</td>\n",
       "      <td>9.93</td>\n",
       "      <td>397.0</td>\n",
       "      <td>131.0</td>\n",
       "      <td>2.48</td>\n",
       "      <td>58.97</td>\n",
       "      <td>1465.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Fri, 10/30/2015</td>\n",
       "      <td>2015</td>\n",
       "      <td>OLH / West Alpine</td>\n",
       "      <td>3.48</td>\n",
       "      <td>39.51</td>\n",
       "      <td>4505</td>\n",
       "      <td>11.35</td>\n",
       "      <td>395.0</td>\n",
       "      <td>114.0</td>\n",
       "      <td>2.16</td>\n",
       "      <td>63.57</td>\n",
       "      <td>1373.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Sat, 4/26/2014</td>\n",
       "      <td>2014</td>\n",
       "      <td>OLH / Tunitas Creek</td>\n",
       "      <td>5.26</td>\n",
       "      <td>58.69</td>\n",
       "      <td>6742</td>\n",
       "      <td>11.16</td>\n",
       "      <td>391.0</td>\n",
       "      <td>115.0</td>\n",
       "      <td>2.18</td>\n",
       "      <td>94.43</td>\n",
       "      <td>2055.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Sat, 4/18/2015</td>\n",
       "      <td>2015</td>\n",
       "      <td>Tunitas + Lobitos Creeks</td>\n",
       "      <td>5.24</td>\n",
       "      <td>61.27</td>\n",
       "      <td>6611</td>\n",
       "      <td>11.69</td>\n",
       "      <td>385.0</td>\n",
       "      <td>108.0</td>\n",
       "      <td>2.04</td>\n",
       "      <td>98.58</td>\n",
       "      <td>2015.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Wed, 10/14/2015</td>\n",
       "      <td>2015</td>\n",
       "      <td>Half Moon Bay</td>\n",
       "      <td>6.13</td>\n",
       "      <td>72.97</td>\n",
       "      <td>7644</td>\n",
       "      <td>11.90</td>\n",
       "      <td>380.0</td>\n",
       "      <td>105.0</td>\n",
       "      <td>1.98</td>\n",
       "      <td>117.41</td>\n",
       "      <td>2330.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Sun, 6/4/2017</td>\n",
       "      <td>2017</td>\n",
       "      <td>Sequoia Challenge</td>\n",
       "      <td>6.29</td>\n",
       "      <td>66.52</td>\n",
       "      <td>7520</td>\n",
       "      <td>10.58</td>\n",
       "      <td>364.0</td>\n",
       "      <td>113.0</td>\n",
       "      <td>2.14</td>\n",
       "      <td>107.03</td>\n",
       "      <td>2292.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Sat, 7/25/2015</td>\n",
       "      <td>2015</td>\n",
       "      <td>Palo Alto, California</td>\n",
       "      <td>4.04</td>\n",
       "      <td>43.62</td>\n",
       "      <td>4819</td>\n",
       "      <td>10.80</td>\n",
       "      <td>364.0</td>\n",
       "      <td>110.0</td>\n",
       "      <td>2.09</td>\n",
       "      <td>70.18</td>\n",
       "      <td>1469.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Sat, 10/11/2014</td>\n",
       "      <td>2014</td>\n",
       "      <td>OLH / Tunitas</td>\n",
       "      <td>5.09</td>\n",
       "      <td>58.29</td>\n",
       "      <td>6044</td>\n",
       "      <td>11.45</td>\n",
       "      <td>362.0</td>\n",
       "      <td>104.0</td>\n",
       "      <td>1.96</td>\n",
       "      <td>93.79</td>\n",
       "      <td>1842.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Sat, 8/13/2016</td>\n",
       "      <td>2016</td>\n",
       "      <td>Petaluma / Point Reyes</td>\n",
       "      <td>4.50</td>\n",
       "      <td>54.75</td>\n",
       "      <td>5286</td>\n",
       "      <td>12.17</td>\n",
       "      <td>358.0</td>\n",
       "      <td>97.0</td>\n",
       "      <td>1.83</td>\n",
       "      <td>88.09</td>\n",
       "      <td>1611.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Fri, 8/28/2015</td>\n",
       "      <td>2015</td>\n",
       "      <td>Pescadaro via OLH</td>\n",
       "      <td>5.31</td>\n",
       "      <td>66.01</td>\n",
       "      <td>6137</td>\n",
       "      <td>12.43</td>\n",
       "      <td>352.0</td>\n",
       "      <td>93.0</td>\n",
       "      <td>1.76</td>\n",
       "      <td>106.21</td>\n",
       "      <td>1871.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Sun, 4/4/2021</td>\n",
       "      <td>2021</td>\n",
       "      <td>Everesting 7: Mill Creek / Morrison Canyon</td>\n",
       "      <td>3.08</td>\n",
       "      <td>29.38</td>\n",
       "      <td>3517</td>\n",
       "      <td>9.54</td>\n",
       "      <td>348.0</td>\n",
       "      <td>120.0</td>\n",
       "      <td>2.27</td>\n",
       "      <td>47.27</td>\n",
       "      <td>1072.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Sat, 2/10/2024</td>\n",
       "      <td>2024</td>\n",
       "      <td>Seacliff, etc.</td>\n",
       "      <td>4.72</td>\n",
       "      <td>63.41</td>\n",
       "      <td>5365</td>\n",
       "      <td>13.43</td>\n",
       "      <td>346.0</td>\n",
       "      <td>85.0</td>\n",
       "      <td>1.60</td>\n",
       "      <td>102.03</td>\n",
       "      <td>1635.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Wed, 6/18/2014</td>\n",
       "      <td>2014</td>\n",
       "      <td>Sierra to the Sea Day 4</td>\n",
       "      <td>4.96</td>\n",
       "      <td>57.64</td>\n",
       "      <td>5561</td>\n",
       "      <td>11.62</td>\n",
       "      <td>342.0</td>\n",
       "      <td>96.0</td>\n",
       "      <td>1.83</td>\n",
       "      <td>92.74</td>\n",
       "      <td>1695.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Sun, 6/3/2018</td>\n",
       "      <td>2018</td>\n",
       "      <td>The Sequoia</td>\n",
       "      <td>5.97</td>\n",
       "      <td>64.92</td>\n",
       "      <td>6677</td>\n",
       "      <td>10.87</td>\n",
       "      <td>341.0</td>\n",
       "      <td>103.0</td>\n",
       "      <td>1.95</td>\n",
       "      <td>104.46</td>\n",
       "      <td>2035.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Sat, 5/9/2015</td>\n",
       "      <td>2015</td>\n",
       "      <td>OLH</td>\n",
       "      <td>2.50</td>\n",
       "      <td>32.33</td>\n",
       "      <td>2788</td>\n",
       "      <td>12.93</td>\n",
       "      <td>340.0</td>\n",
       "      <td>86.0</td>\n",
       "      <td>1.63</td>\n",
       "      <td>52.02</td>\n",
       "      <td>850.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             date  year                                       title  hours  \\\n",
       "  Sun, 11/29/2015  2015                                Mt. Hamilton   3.68   \n",
       "    Fri, 4/2/2021  2021          Everesting 5: climb 2×(OLH + WOLH)   3.27   \n",
       "   Mon, 3/29/2021  2021                     Everesting 1: Mt Diablo   2.60   \n",
       "   Tue, 3/30/2021  2021            Everesting 2: Kings + WOLH + OLH   3.34   \n",
       "   Sun, 12/1/2013  2013                                Mt. Hamilton   3.78   \n",
       "  Sat, 11/25/2017  2017                                Mt. Hamilton   3.69   \n",
       "  Fri, 10/30/2015  2015                           OLH / West Alpine   3.48   \n",
       "   Sat, 4/26/2014  2014                         OLH / Tunitas Creek   5.26   \n",
       "   Sat, 4/18/2015  2015                    Tunitas + Lobitos Creeks   5.24   \n",
       "  Wed, 10/14/2015  2015                               Half Moon Bay   6.13   \n",
       "    Sun, 6/4/2017  2017                           Sequoia Challenge   6.29   \n",
       "   Sat, 7/25/2015  2015                       Palo Alto, California   4.04   \n",
       "  Sat, 10/11/2014  2014                               OLH / Tunitas   5.09   \n",
       "   Sat, 8/13/2016  2016                      Petaluma / Point Reyes   4.50   \n",
       "   Fri, 8/28/2015  2015                           Pescadaro via OLH   5.31   \n",
       "    Sun, 4/4/2021  2021  Everesting 7: Mill Creek / Morrison Canyon   3.08   \n",
       "   Sat, 2/10/2024  2024                              Seacliff, etc.   4.72   \n",
       "   Wed, 6/18/2014  2014                     Sierra to the Sea Day 4   4.96   \n",
       "    Sun, 6/3/2018  2018                                 The Sequoia   5.97   \n",
       "    Sat, 5/9/2015  2015                                         OLH   2.50   \n",
       "\n",
       "  miles  feet    mph    vam   fpmi   pct     kms  meters  \n",
       "  37.00  4902  10.05  406.0  132.0  2.51   59.53  1494.0  \n",
       "  31.48  4344   9.63  405.0  138.0  2.61   50.65  1324.0  \n",
       "  22.22  3406   8.55  399.0  153.0  2.90   35.75  1038.0  \n",
       "  35.99  4377  10.78  399.0  122.0  2.30   57.91  1334.0  \n",
       "  37.56  4921   9.94  397.0  131.0  2.48   60.43  1500.0  \n",
       "  36.65  4806   9.93  397.0  131.0  2.48   58.97  1465.0  \n",
       "  39.51  4505  11.35  395.0  114.0  2.16   63.57  1373.0  \n",
       "  58.69  6742  11.16  391.0  115.0  2.18   94.43  2055.0  \n",
       "  61.27  6611  11.69  385.0  108.0  2.04   98.58  2015.0  \n",
       "  72.97  7644  11.90  380.0  105.0  1.98  117.41  2330.0  \n",
       "  66.52  7520  10.58  364.0  113.0  2.14  107.03  2292.0  \n",
       "  43.62  4819  10.80  364.0  110.0  2.09   70.18  1469.0  \n",
       "  58.29  6044  11.45  362.0  104.0  1.96   93.79  1842.0  \n",
       "  54.75  5286  12.17  358.0   97.0  1.83   88.09  1611.0  \n",
       "  66.01  6137  12.43  352.0   93.0  1.76  106.21  1871.0  \n",
       "  29.38  3517   9.54  348.0  120.0  2.27   47.27  1072.0  \n",
       "  63.41  5365  13.43  346.0   85.0  1.60  102.03  1635.0  \n",
       "  57.64  5561  11.62  342.0   96.0  1.83   92.74  1695.0  \n",
       "  64.92  6677  10.87  341.0  103.0  1.95  104.46  2035.0  \n",
       "  32.33  2788  12.93  340.0   86.0  1.63   52.02   850.0  "
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "top(rides, 'vam')   "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Exploring the Data\n",
    "\n",
    "\n",
    "Some more ways to look at the data, both rides and segments."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>year</th>\n",
       "      <th>hours</th>\n",
       "      <th>miles</th>\n",
       "      <th>feet</th>\n",
       "      <th>mph</th>\n",
       "      <th>vam</th>\n",
       "      <th>fpmi</th>\n",
       "      <th>pct</th>\n",
       "      <th>kms</th>\n",
       "      <th>meters</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>552.000000</td>\n",
       "      <td>552.000000</td>\n",
       "      <td>552.000000</td>\n",
       "      <td>552.000000</td>\n",
       "      <td>552.000000</td>\n",
       "      <td>552.000000</td>\n",
       "      <td>552.000000</td>\n",
       "      <td>552.000000</td>\n",
       "      <td>552.000000</td>\n",
       "      <td>552.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>2017.125000</td>\n",
       "      <td>3.414058</td>\n",
       "      <td>43.653333</td>\n",
       "      <td>1846.400362</td>\n",
       "      <td>12.986413</td>\n",
       "      <td>157.525362</td>\n",
       "      <td>41.469203</td>\n",
       "      <td>0.785145</td>\n",
       "      <td>70.238152</td>\n",
       "      <td>562.789855</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>2.709925</td>\n",
       "      <td>1.491032</td>\n",
       "      <td>17.976626</td>\n",
       "      <td>1511.780617</td>\n",
       "      <td>1.330019</td>\n",
       "      <td>89.676629</td>\n",
       "      <td>27.147960</td>\n",
       "      <td>0.514032</td>\n",
       "      <td>28.924464</td>\n",
       "      <td>460.785323</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>2012.000000</td>\n",
       "      <td>1.540000</td>\n",
       "      <td>20.960000</td>\n",
       "      <td>68.000000</td>\n",
       "      <td>8.550000</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>0.050000</td>\n",
       "      <td>33.720000</td>\n",
       "      <td>21.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>2015.000000</td>\n",
       "      <td>2.227500</td>\n",
       "      <td>29.210000</td>\n",
       "      <td>744.000000</td>\n",
       "      <td>12.160000</td>\n",
       "      <td>81.000000</td>\n",
       "      <td>20.000000</td>\n",
       "      <td>0.370000</td>\n",
       "      <td>47.000000</td>\n",
       "      <td>226.750000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>2017.000000</td>\n",
       "      <td>2.895000</td>\n",
       "      <td>37.160000</td>\n",
       "      <td>1378.000000</td>\n",
       "      <td>13.145000</td>\n",
       "      <td>152.000000</td>\n",
       "      <td>36.000000</td>\n",
       "      <td>0.690000</td>\n",
       "      <td>59.795000</td>\n",
       "      <td>420.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>2018.000000</td>\n",
       "      <td>4.502500</td>\n",
       "      <td>58.885000</td>\n",
       "      <td>2369.250000</td>\n",
       "      <td>13.792500</td>\n",
       "      <td>217.250000</td>\n",
       "      <td>55.250000</td>\n",
       "      <td>1.055000</td>\n",
       "      <td>94.750000</td>\n",
       "      <td>722.250000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>2024.000000</td>\n",
       "      <td>8.140000</td>\n",
       "      <td>102.410000</td>\n",
       "      <td>7644.000000</td>\n",
       "      <td>16.750000</td>\n",
       "      <td>406.000000</td>\n",
       "      <td>153.000000</td>\n",
       "      <td>2.900000</td>\n",
       "      <td>164.780000</td>\n",
       "      <td>2330.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              year       hours       miles         feet         mph  \\\n",
       "count   552.000000  552.000000  552.000000   552.000000  552.000000   \n",
       "mean   2017.125000    3.414058   43.653333  1846.400362   12.986413   \n",
       "std       2.709925    1.491032   17.976626  1511.780617    1.330019   \n",
       "min    2012.000000    1.540000   20.960000    68.000000    8.550000   \n",
       "25%    2015.000000    2.227500   29.210000   744.000000   12.160000   \n",
       "50%    2017.000000    2.895000   37.160000  1378.000000   13.145000   \n",
       "75%    2018.000000    4.502500   58.885000  2369.250000   13.792500   \n",
       "max    2024.000000    8.140000  102.410000  7644.000000   16.750000   \n",
       "\n",
       "              vam        fpmi         pct         kms       meters  \n",
       "count  552.000000  552.000000  552.000000  552.000000   552.000000  \n",
       "mean   157.525362   41.469203    0.785145   70.238152   562.789855  \n",
       "std     89.676629   27.147960    0.514032   28.924464   460.785323  \n",
       "min     10.000000    3.000000    0.050000   33.720000    21.000000  \n",
       "25%     81.000000   20.000000    0.370000   47.000000   226.750000  \n",
       "50%    152.000000   36.000000    0.690000   59.795000   420.000000  \n",
       "75%    217.250000   55.250000    1.055000   94.750000   722.250000  \n",
       "max    406.000000  153.000000    2.900000  164.780000  2330.000000  "
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rides.describe() # Summary statistics for the rides"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>hours</th>\n",
       "      <th>miles</th>\n",
       "      <th>feet</th>\n",
       "      <th>mph</th>\n",
       "      <th>vam</th>\n",
       "      <th>fpmi</th>\n",
       "      <th>pct</th>\n",
       "      <th>kms</th>\n",
       "      <th>meters</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>141.000000</td>\n",
       "      <td>141.000000</td>\n",
       "      <td>141.000000</td>\n",
       "      <td>141.000000</td>\n",
       "      <td>141.000000</td>\n",
       "      <td>141.000000</td>\n",
       "      <td>141.000000</td>\n",
       "      <td>141.000000</td>\n",
       "      <td>141.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>0.141702</td>\n",
       "      <td>0.932979</td>\n",
       "      <td>268.978723</td>\n",
       "      <td>7.444539</td>\n",
       "      <td>641.893617</td>\n",
       "      <td>353.503546</td>\n",
       "      <td>6.694894</td>\n",
       "      <td>1.501064</td>\n",
       "      <td>81.978723</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>0.173711</td>\n",
       "      <td>0.989832</td>\n",
       "      <td>295.060659</td>\n",
       "      <td>3.557336</td>\n",
       "      <td>211.923595</td>\n",
       "      <td>186.816320</td>\n",
       "      <td>3.537974</td>\n",
       "      <td>1.592267</td>\n",
       "      <td>89.957408</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.080000</td>\n",
       "      <td>21.000000</td>\n",
       "      <td>2.120000</td>\n",
       "      <td>111.000000</td>\n",
       "      <td>18.000000</td>\n",
       "      <td>0.350000</td>\n",
       "      <td>0.130000</td>\n",
       "      <td>6.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>0.050000</td>\n",
       "      <td>0.330000</td>\n",
       "      <td>104.000000</td>\n",
       "      <td>4.830000</td>\n",
       "      <td>503.000000</td>\n",
       "      <td>219.000000</td>\n",
       "      <td>4.140000</td>\n",
       "      <td>0.530000</td>\n",
       "      <td>32.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>0.090000</td>\n",
       "      <td>0.600000</td>\n",
       "      <td>166.000000</td>\n",
       "      <td>6.190000</td>\n",
       "      <td>630.000000</td>\n",
       "      <td>333.000000</td>\n",
       "      <td>6.300000</td>\n",
       "      <td>0.970000</td>\n",
       "      <td>51.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>0.150000</td>\n",
       "      <td>1.190000</td>\n",
       "      <td>303.000000</td>\n",
       "      <td>9.800000</td>\n",
       "      <td>724.000000</td>\n",
       "      <td>462.000000</td>\n",
       "      <td>8.760000</td>\n",
       "      <td>1.910000</td>\n",
       "      <td>92.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>1.390000</td>\n",
       "      <td>7.380000</td>\n",
       "      <td>1887.000000</td>\n",
       "      <td>19.790000</td>\n",
       "      <td>1463.000000</td>\n",
       "      <td>839.000000</td>\n",
       "      <td>15.890000</td>\n",
       "      <td>11.870000</td>\n",
       "      <td>575.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            hours       miles         feet         mph          vam  \\\n",
       "count  141.000000  141.000000   141.000000  141.000000   141.000000   \n",
       "mean     0.141702    0.932979   268.978723    7.444539   641.893617   \n",
       "std      0.173711    0.989832   295.060659    3.557336   211.923595   \n",
       "min      0.010000    0.080000    21.000000    2.120000   111.000000   \n",
       "25%      0.050000    0.330000   104.000000    4.830000   503.000000   \n",
       "50%      0.090000    0.600000   166.000000    6.190000   630.000000   \n",
       "75%      0.150000    1.190000   303.000000    9.800000   724.000000   \n",
       "max      1.390000    7.380000  1887.000000   19.790000  1463.000000   \n",
       "\n",
       "             fpmi         pct         kms      meters  \n",
       "count  141.000000  141.000000  141.000000  141.000000  \n",
       "mean   353.503546    6.694894    1.501064   81.978723  \n",
       "std    186.816320    3.537974    1.592267   89.957408  \n",
       "min     18.000000    0.350000    0.130000    6.000000  \n",
       "25%    219.000000    4.140000    0.530000   32.000000  \n",
       "50%    333.000000    6.300000    0.970000   51.000000  \n",
       "75%    462.000000    8.760000    1.910000   92.000000  \n",
       "max    839.000000   15.890000   11.870000  575.000000  "
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "segments.describe() # Summary statistics for the segments"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    }\n",
       "\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>date</th>\n",
       "      <th>year</th>\n",
       "      <th>title</th>\n",
       "      <th>hours</th>\n",
       "      <th>miles</th>\n",
       "      <th>feet</th>\n",
       "      <th>mph</th>\n",
       "      <th>vam</th>\n",
       "      <th>fpmi</th>\n",
       "      <th>pct</th>\n",
       "      <th>kms</th>\n",
       "      <th>meters</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Sun, 5/22/2016</td>\n",
       "      <td>2016</td>\n",
       "      <td>Canada</td>\n",
       "      <td>2.19</td>\n",
       "      <td>36.68</td>\n",
       "      <td>1332</td>\n",
       "      <td>16.75</td>\n",
       "      <td>185.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>0.69</td>\n",
       "      <td>59.02</td>\n",
       "      <td>406.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Wed, 9/13/2017</td>\n",
       "      <td>2017</td>\n",
       "      <td>Healdburg / Jimtown</td>\n",
       "      <td>2.13</td>\n",
       "      <td>34.45</td>\n",
       "      <td>912</td>\n",
       "      <td>16.17</td>\n",
       "      <td>131.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>0.50</td>\n",
       "      <td>55.43</td>\n",
       "      <td>278.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Sun, 8/25/2024</td>\n",
       "      <td>2024</td>\n",
       "      <td>Petaluma–Santa Rosa + Napa</td>\n",
       "      <td>5.22</td>\n",
       "      <td>84.26</td>\n",
       "      <td>2966</td>\n",
       "      <td>16.14</td>\n",
       "      <td>173.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>0.67</td>\n",
       "      <td>135.57</td>\n",
       "      <td>904.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Sat, 1/25/2014</td>\n",
       "      <td>2014</td>\n",
       "      <td>Woodside</td>\n",
       "      <td>1.56</td>\n",
       "      <td>25.08</td>\n",
       "      <td>1243</td>\n",
       "      <td>16.08</td>\n",
       "      <td>243.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>0.94</td>\n",
       "      <td>40.35</td>\n",
       "      <td>379.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Sat, 4/11/2015</td>\n",
       "      <td>2015</td>\n",
       "      <td>Woodside</td>\n",
       "      <td>1.54</td>\n",
       "      <td>24.73</td>\n",
       "      <td>1035</td>\n",
       "      <td>16.06</td>\n",
       "      <td>205.0</td>\n",
       "      <td>42.0</td>\n",
       "      <td>0.79</td>\n",
       "      <td>39.79</td>\n",
       "      <td>315.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Mon, 5/27/2024</td>\n",
       "      <td>2024</td>\n",
       "      <td>Saratoga</td>\n",
       "      <td>4.83</td>\n",
       "      <td>77.25</td>\n",
       "      <td>1749</td>\n",
       "      <td>15.99</td>\n",
       "      <td>110.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>0.43</td>\n",
       "      <td>124.30</td>\n",
       "      <td>533.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Sun, 7/11/2021</td>\n",
       "      <td>2021</td>\n",
       "      <td>San Jose</td>\n",
       "      <td>4.10</td>\n",
       "      <td>65.10</td>\n",
       "      <td>1086</td>\n",
       "      <td>15.88</td>\n",
       "      <td>81.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>0.32</td>\n",
       "      <td>104.75</td>\n",
       "      <td>331.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Sun, 1/18/2015</td>\n",
       "      <td>2015</td>\n",
       "      <td>Woodside</td>\n",
       "      <td>1.64</td>\n",
       "      <td>26.02</td>\n",
       "      <td>1257</td>\n",
       "      <td>15.87</td>\n",
       "      <td>234.0</td>\n",
       "      <td>48.0</td>\n",
       "      <td>0.91</td>\n",
       "      <td>41.87</td>\n",
       "      <td>383.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Fri, 6/24/2016</td>\n",
       "      <td>2016</td>\n",
       "      <td>Foothill Expway</td>\n",
       "      <td>1.59</td>\n",
       "      <td>25.11</td>\n",
       "      <td>623</td>\n",
       "      <td>15.79</td>\n",
       "      <td>119.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>0.47</td>\n",
       "      <td>40.40</td>\n",
       "      <td>190.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Sun, 1/26/2014</td>\n",
       "      <td>2014</td>\n",
       "      <td>Canada Rd</td>\n",
       "      <td>2.10</td>\n",
       "      <td>33.12</td>\n",
       "      <td>1446</td>\n",
       "      <td>15.77</td>\n",
       "      <td>210.0</td>\n",
       "      <td>44.0</td>\n",
       "      <td>0.83</td>\n",
       "      <td>53.29</td>\n",
       "      <td>441.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Fri, 1/6/2012</td>\n",
       "      <td>2012</td>\n",
       "      <td>Omarama to Wanaka New Zealand</td>\n",
       "      <td>4.48</td>\n",
       "      <td>70.35</td>\n",
       "      <td>3262</td>\n",
       "      <td>15.70</td>\n",
       "      <td>222.0</td>\n",
       "      <td>46.0</td>\n",
       "      <td>0.88</td>\n",
       "      <td>113.19</td>\n",
       "      <td>994.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Sun, 4/12/2015</td>\n",
       "      <td>2015</td>\n",
       "      <td>Palo Alto Cycling</td>\n",
       "      <td>2.03</td>\n",
       "      <td>31.76</td>\n",
       "      <td>1210</td>\n",
       "      <td>15.65</td>\n",
       "      <td>182.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>0.72</td>\n",
       "      <td>51.10</td>\n",
       "      <td>369.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Sun, 10/15/2017</td>\n",
       "      <td>2017</td>\n",
       "      <td>Los Gatos</td>\n",
       "      <td>2.86</td>\n",
       "      <td>44.71</td>\n",
       "      <td>1437</td>\n",
       "      <td>15.63</td>\n",
       "      <td>153.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>0.61</td>\n",
       "      <td>71.94</td>\n",
       "      <td>438.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Sun, 8/5/2018</td>\n",
       "      <td>2018</td>\n",
       "      <td>Bike Ride Northwest Day 1</td>\n",
       "      <td>3.58</td>\n",
       "      <td>55.77</td>\n",
       "      <td>1824</td>\n",
       "      <td>15.58</td>\n",
       "      <td>155.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>0.62</td>\n",
       "      <td>89.73</td>\n",
       "      <td>556.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Sun, 2/28/2016</td>\n",
       "      <td>2016</td>\n",
       "      <td>Woodside Loop</td>\n",
       "      <td>1.73</td>\n",
       "      <td>26.93</td>\n",
       "      <td>843</td>\n",
       "      <td>15.57</td>\n",
       "      <td>149.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>0.59</td>\n",
       "      <td>43.33</td>\n",
       "      <td>257.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Sun, 6/26/2016</td>\n",
       "      <td>2016</td>\n",
       "      <td>Los Gatos</td>\n",
       "      <td>3.28</td>\n",
       "      <td>50.78</td>\n",
       "      <td>1181</td>\n",
       "      <td>15.48</td>\n",
       "      <td>110.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>0.44</td>\n",
       "      <td>81.71</td>\n",
       "      <td>360.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Mon, 1/19/2015</td>\n",
       "      <td>2015</td>\n",
       "      <td>Canada Rd, etc.</td>\n",
       "      <td>2.95</td>\n",
       "      <td>45.64</td>\n",
       "      <td>1836</td>\n",
       "      <td>15.47</td>\n",
       "      <td>190.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>0.76</td>\n",
       "      <td>73.43</td>\n",
       "      <td>560.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Sun, 1/19/2014</td>\n",
       "      <td>2014</td>\n",
       "      <td>Palo Alto, CA</td>\n",
       "      <td>1.62</td>\n",
       "      <td>25.01</td>\n",
       "      <td>1201</td>\n",
       "      <td>15.44</td>\n",
       "      <td>226.0</td>\n",
       "      <td>48.0</td>\n",
       "      <td>0.91</td>\n",
       "      <td>40.24</td>\n",
       "      <td>366.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Sun, 12/6/2015</td>\n",
       "      <td>2015</td>\n",
       "      <td>Canada Rd</td>\n",
       "      <td>2.25</td>\n",
       "      <td>34.67</td>\n",
       "      <td>1237</td>\n",
       "      <td>15.41</td>\n",
       "      <td>168.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>0.68</td>\n",
       "      <td>55.78</td>\n",
       "      <td>377.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Tue, 6/18/2013</td>\n",
       "      <td>2013</td>\n",
       "      <td>work etc (headwinds)</td>\n",
       "      <td>2.06</td>\n",
       "      <td>31.48</td>\n",
       "      <td>809</td>\n",
       "      <td>15.28</td>\n",
       "      <td>120.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>0.49</td>\n",
       "      <td>50.65</td>\n",
       "      <td>247.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             date  year                          title  hours  miles  feet  \\\n",
       "   Sun, 5/22/2016  2016                         Canada   2.19  36.68  1332   \n",
       "   Wed, 9/13/2017  2017            Healdburg / Jimtown   2.13  34.45   912   \n",
       "   Sun, 8/25/2024  2024     Petaluma–Santa Rosa + Napa   5.22  84.26  2966   \n",
       "   Sat, 1/25/2014  2014                       Woodside   1.56  25.08  1243   \n",
       "   Sat, 4/11/2015  2015                       Woodside   1.54  24.73  1035   \n",
       "   Mon, 5/27/2024  2024                       Saratoga   4.83  77.25  1749   \n",
       "   Sun, 7/11/2021  2021                       San Jose   4.10  65.10  1086   \n",
       "   Sun, 1/18/2015  2015                       Woodside   1.64  26.02  1257   \n",
       "   Fri, 6/24/2016  2016                Foothill Expway   1.59  25.11   623   \n",
       "   Sun, 1/26/2014  2014                      Canada Rd   2.10  33.12  1446   \n",
       "    Fri, 1/6/2012  2012  Omarama to Wanaka New Zealand   4.48  70.35  3262   \n",
       "   Sun, 4/12/2015  2015              Palo Alto Cycling   2.03  31.76  1210   \n",
       "  Sun, 10/15/2017  2017                      Los Gatos   2.86  44.71  1437   \n",
       "    Sun, 8/5/2018  2018      Bike Ride Northwest Day 1   3.58  55.77  1824   \n",
       "   Sun, 2/28/2016  2016                  Woodside Loop   1.73  26.93   843   \n",
       "   Sun, 6/26/2016  2016                      Los Gatos   3.28  50.78  1181   \n",
       "   Mon, 1/19/2015  2015                Canada Rd, etc.   2.95  45.64  1836   \n",
       "   Sun, 1/19/2014  2014                  Palo Alto, CA   1.62  25.01  1201   \n",
       "   Sun, 12/6/2015  2015                      Canada Rd   2.25  34.67  1237   \n",
       "   Tue, 6/18/2013  2013           work etc (headwinds)   2.06  31.48   809   \n",
       "\n",
       "    mph    vam  fpmi   pct     kms  meters  \n",
       "  16.75  185.0  36.0  0.69   59.02   406.0  \n",
       "  16.17  131.0  26.0  0.50   55.43   278.0  \n",
       "  16.14  173.0  35.0  0.67  135.57   904.0  \n",
       "  16.08  243.0  50.0  0.94   40.35   379.0  \n",
       "  16.06  205.0  42.0  0.79   39.79   315.0  \n",
       "  15.99  110.0  23.0  0.43  124.30   533.0  \n",
       "  15.88   81.0  17.0  0.32  104.75   331.0  \n",
       "  15.87  234.0  48.0  0.91   41.87   383.0  \n",
       "  15.79  119.0  25.0  0.47   40.40   190.0  \n",
       "  15.77  210.0  44.0  0.83   53.29   441.0  \n",
       "  15.70  222.0  46.0  0.88  113.19   994.0  \n",
       "  15.65  182.0  38.0  0.72   51.10   369.0  \n",
       "  15.63  153.0  32.0  0.61   71.94   438.0  \n",
       "  15.58  155.0  33.0  0.62   89.73   556.0  \n",
       "  15.57  149.0  31.0  0.59   43.33   257.0  \n",
       "  15.48  110.0  23.0  0.44   81.71   360.0  \n",
       "  15.47  190.0  40.0  0.76   73.43   560.0  \n",
       "  15.44  226.0  48.0  0.91   40.24   366.0  \n",
       "  15.41  168.0  36.0  0.68   55.78   377.0  \n",
       "  15.28  120.0  26.0  0.49   50.65   247.0  "
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "top(rides, 'mph') # Fastest rides (of more than 20 miles, that I sampled into database)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>title</th>\n",
       "      <th>hours</th>\n",
       "      <th>miles</th>\n",
       "      <th>feet</th>\n",
       "      <th>mph</th>\n",
       "      <th>vam</th>\n",
       "      <th>fpmi</th>\n",
       "      <th>pct</th>\n",
       "      <th>kms</th>\n",
       "      <th>meters</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>PCH Pescadero to Bean Hollow</td>\n",
       "      <td>0.14</td>\n",
       "      <td>2.77</td>\n",
       "      <td>51</td>\n",
       "      <td>19.79</td>\n",
       "      <td>111.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>0.35</td>\n",
       "      <td>4.46</td>\n",
       "      <td>16.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Highway 1  Cascanoa to Cascade</td>\n",
       "      <td>0.09</td>\n",
       "      <td>1.61</td>\n",
       "      <td>89</td>\n",
       "      <td>17.89</td>\n",
       "      <td>301.0</td>\n",
       "      <td>55.0</td>\n",
       "      <td>1.05</td>\n",
       "      <td>2.59</td>\n",
       "      <td>27.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Vickrey Fruitvale</td>\n",
       "      <td>0.06</td>\n",
       "      <td>0.99</td>\n",
       "      <td>68</td>\n",
       "      <td>16.50</td>\n",
       "      <td>345.0</td>\n",
       "      <td>69.0</td>\n",
       "      <td>1.30</td>\n",
       "      <td>1.59</td>\n",
       "      <td>21.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Highway 9 Mantalvo</td>\n",
       "      <td>0.03</td>\n",
       "      <td>0.45</td>\n",
       "      <td>35</td>\n",
       "      <td>15.00</td>\n",
       "      <td>356.0</td>\n",
       "      <td>78.0</td>\n",
       "      <td>1.47</td>\n",
       "      <td>0.72</td>\n",
       "      <td>11.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Highway 9 Mantalvo</td>\n",
       "      <td>0.03</td>\n",
       "      <td>0.45</td>\n",
       "      <td>35</td>\n",
       "      <td>15.00</td>\n",
       "      <td>356.0</td>\n",
       "      <td>78.0</td>\n",
       "      <td>1.47</td>\n",
       "      <td>0.72</td>\n",
       "      <td>11.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>The Boneyard</td>\n",
       "      <td>0.10</td>\n",
       "      <td>1.48</td>\n",
       "      <td>135</td>\n",
       "      <td>14.80</td>\n",
       "      <td>411.0</td>\n",
       "      <td>91.0</td>\n",
       "      <td>1.73</td>\n",
       "      <td>2.38</td>\n",
       "      <td>41.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Vickrey Fruitvale</td>\n",
       "      <td>0.07</td>\n",
       "      <td>0.99</td>\n",
       "      <td>68</td>\n",
       "      <td>14.14</td>\n",
       "      <td>296.0</td>\n",
       "      <td>69.0</td>\n",
       "      <td>1.30</td>\n",
       "      <td>1.59</td>\n",
       "      <td>21.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Sand Hill Alpine to 280</td>\n",
       "      <td>0.12</td>\n",
       "      <td>1.67</td>\n",
       "      <td>180</td>\n",
       "      <td>13.92</td>\n",
       "      <td>457.0</td>\n",
       "      <td>108.0</td>\n",
       "      <td>2.04</td>\n",
       "      <td>2.69</td>\n",
       "      <td>55.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Canada to College</td>\n",
       "      <td>0.10</td>\n",
       "      <td>1.37</td>\n",
       "      <td>119</td>\n",
       "      <td>13.70</td>\n",
       "      <td>363.0</td>\n",
       "      <td>87.0</td>\n",
       "      <td>1.65</td>\n",
       "      <td>2.20</td>\n",
       "      <td>36.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Foothill Homestead</td>\n",
       "      <td>0.09</td>\n",
       "      <td>1.22</td>\n",
       "      <td>126</td>\n",
       "      <td>13.56</td>\n",
       "      <td>427.0</td>\n",
       "      <td>103.0</td>\n",
       "      <td>1.96</td>\n",
       "      <td>1.96</td>\n",
       "      <td>38.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>The Boneyard</td>\n",
       "      <td>0.11</td>\n",
       "      <td>1.48</td>\n",
       "      <td>135</td>\n",
       "      <td>13.45</td>\n",
       "      <td>374.0</td>\n",
       "      <td>91.0</td>\n",
       "      <td>1.73</td>\n",
       "      <td>2.38</td>\n",
       "      <td>41.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Kaboom Portola Rd</td>\n",
       "      <td>0.05</td>\n",
       "      <td>0.67</td>\n",
       "      <td>102</td>\n",
       "      <td>13.40</td>\n",
       "      <td>622.0</td>\n",
       "      <td>152.0</td>\n",
       "      <td>2.88</td>\n",
       "      <td>1.08</td>\n",
       "      <td>31.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Woodside Climb</td>\n",
       "      <td>0.13</td>\n",
       "      <td>1.71</td>\n",
       "      <td>295</td>\n",
       "      <td>13.15</td>\n",
       "      <td>692.0</td>\n",
       "      <td>173.0</td>\n",
       "      <td>3.27</td>\n",
       "      <td>2.75</td>\n",
       "      <td>90.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Sand Hill Alpine to 280</td>\n",
       "      <td>0.13</td>\n",
       "      <td>1.67</td>\n",
       "      <td>180</td>\n",
       "      <td>12.85</td>\n",
       "      <td>422.0</td>\n",
       "      <td>108.0</td>\n",
       "      <td>2.04</td>\n",
       "      <td>2.69</td>\n",
       "      <td>55.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Alpine Westridge</td>\n",
       "      <td>0.06</td>\n",
       "      <td>0.76</td>\n",
       "      <td>99</td>\n",
       "      <td>12.67</td>\n",
       "      <td>503.0</td>\n",
       "      <td>130.0</td>\n",
       "      <td>2.47</td>\n",
       "      <td>1.22</td>\n",
       "      <td>30.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Alpine Westridge</td>\n",
       "      <td>0.06</td>\n",
       "      <td>0.76</td>\n",
       "      <td>99</td>\n",
       "      <td>12.67</td>\n",
       "      <td>503.0</td>\n",
       "      <td>130.0</td>\n",
       "      <td>2.47</td>\n",
       "      <td>1.22</td>\n",
       "      <td>30.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Stanford Ave</td>\n",
       "      <td>0.05</td>\n",
       "      <td>0.63</td>\n",
       "      <td>85</td>\n",
       "      <td>12.60</td>\n",
       "      <td>518.0</td>\n",
       "      <td>135.0</td>\n",
       "      <td>2.56</td>\n",
       "      <td>1.01</td>\n",
       "      <td>26.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Canada to College</td>\n",
       "      <td>0.11</td>\n",
       "      <td>1.37</td>\n",
       "      <td>119</td>\n",
       "      <td>12.45</td>\n",
       "      <td>330.0</td>\n",
       "      <td>87.0</td>\n",
       "      <td>1.65</td>\n",
       "      <td>2.20</td>\n",
       "      <td>36.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Sand Hill 280 to horse</td>\n",
       "      <td>0.04</td>\n",
       "      <td>0.49</td>\n",
       "      <td>95</td>\n",
       "      <td>12.25</td>\n",
       "      <td>724.0</td>\n",
       "      <td>194.0</td>\n",
       "      <td>3.67</td>\n",
       "      <td>0.79</td>\n",
       "      <td>29.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Stevens Country Park</td>\n",
       "      <td>0.10</td>\n",
       "      <td>1.22</td>\n",
       "      <td>112</td>\n",
       "      <td>12.20</td>\n",
       "      <td>341.0</td>\n",
       "      <td>92.0</td>\n",
       "      <td>1.74</td>\n",
       "      <td>1.96</td>\n",
       "      <td>34.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                           title  hours  miles  feet    mph    vam   fpmi  \\\n",
       "    PCH Pescadero to Bean Hollow   0.14   2.77    51  19.79  111.0   18.0   \n",
       "  Highway 1  Cascanoa to Cascade   0.09   1.61    89  17.89  301.0   55.0   \n",
       "               Vickrey Fruitvale   0.06   0.99    68  16.50  345.0   69.0   \n",
       "              Highway 9 Mantalvo   0.03   0.45    35  15.00  356.0   78.0   \n",
       "              Highway 9 Mantalvo   0.03   0.45    35  15.00  356.0   78.0   \n",
       "                    The Boneyard   0.10   1.48   135  14.80  411.0   91.0   \n",
       "               Vickrey Fruitvale   0.07   0.99    68  14.14  296.0   69.0   \n",
       "         Sand Hill Alpine to 280   0.12   1.67   180  13.92  457.0  108.0   \n",
       "               Canada to College   0.10   1.37   119  13.70  363.0   87.0   \n",
       "              Foothill Homestead   0.09   1.22   126  13.56  427.0  103.0   \n",
       "                    The Boneyard   0.11   1.48   135  13.45  374.0   91.0   \n",
       "               Kaboom Portola Rd   0.05   0.67   102  13.40  622.0  152.0   \n",
       "                  Woodside Climb   0.13   1.71   295  13.15  692.0  173.0   \n",
       "         Sand Hill Alpine to 280   0.13   1.67   180  12.85  422.0  108.0   \n",
       "                Alpine Westridge   0.06   0.76    99  12.67  503.0  130.0   \n",
       "                Alpine Westridge   0.06   0.76    99  12.67  503.0  130.0   \n",
       "                    Stanford Ave   0.05   0.63    85  12.60  518.0  135.0   \n",
       "               Canada to College   0.11   1.37   119  12.45  330.0   87.0   \n",
       "          Sand Hill 280 to horse   0.04   0.49    95  12.25  724.0  194.0   \n",
       "            Stevens Country Park   0.10   1.22   112  12.20  341.0   92.0   \n",
       "\n",
       "   pct   kms  meters  \n",
       "  0.35  4.46    16.0  \n",
       "  1.05  2.59    27.0  \n",
       "  1.30  1.59    21.0  \n",
       "  1.47  0.72    11.0  \n",
       "  1.47  0.72    11.0  \n",
       "  1.73  2.38    41.0  \n",
       "  1.30  1.59    21.0  \n",
       "  2.04  2.69    55.0  \n",
       "  1.65  2.20    36.0  \n",
       "  1.96  1.96    38.0  \n",
       "  1.73  2.38    41.0  \n",
       "  2.88  1.08    31.0  \n",
       "  3.27  2.75    90.0  \n",
       "  2.04  2.69    55.0  \n",
       "  2.47  1.22    30.0  \n",
       "  2.47  1.22    30.0  \n",
       "  2.56  1.01    26.0  \n",
       "  1.65  2.20    36.0  \n",
       "  3.67  0.79    29.0  \n",
       "  1.74  1.96    34.0  "
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "top(segments, 'mph') # Fastest segments (there are no descent segments in the database)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>title</th>\n",
       "      <th>hours</th>\n",
       "      <th>miles</th>\n",
       "      <th>feet</th>\n",
       "      <th>mph</th>\n",
       "      <th>vam</th>\n",
       "      <th>fpmi</th>\n",
       "      <th>pct</th>\n",
       "      <th>kms</th>\n",
       "      <th>meters</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>West Alpine full</td>\n",
       "      <td>1.39</td>\n",
       "      <td>7.38</td>\n",
       "      <td>1887</td>\n",
       "      <td>5.31</td>\n",
       "      <td>414.0</td>\n",
       "      <td>256.0</td>\n",
       "      <td>4.84</td>\n",
       "      <td>11.87</td>\n",
       "      <td>575.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Kings Greer to Skyline</td>\n",
       "      <td>0.78</td>\n",
       "      <td>3.92</td>\n",
       "      <td>1536</td>\n",
       "      <td>5.03</td>\n",
       "      <td>600.0</td>\n",
       "      <td>392.0</td>\n",
       "      <td>7.42</td>\n",
       "      <td>6.31</td>\n",
       "      <td>468.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Kings Greer to Skyline</td>\n",
       "      <td>0.81</td>\n",
       "      <td>3.92</td>\n",
       "      <td>1536</td>\n",
       "      <td>4.84</td>\n",
       "      <td>578.0</td>\n",
       "      <td>392.0</td>\n",
       "      <td>7.42</td>\n",
       "      <td>6.31</td>\n",
       "      <td>468.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Old La Honda (Bridge to Stop)</td>\n",
       "      <td>0.48</td>\n",
       "      <td>3.33</td>\n",
       "      <td>1255</td>\n",
       "      <td>6.94</td>\n",
       "      <td>797.0</td>\n",
       "      <td>377.0</td>\n",
       "      <td>7.14</td>\n",
       "      <td>5.36</td>\n",
       "      <td>383.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Old La Honda (Bridge to Stop)</td>\n",
       "      <td>0.51</td>\n",
       "      <td>3.33</td>\n",
       "      <td>1255</td>\n",
       "      <td>6.53</td>\n",
       "      <td>750.0</td>\n",
       "      <td>377.0</td>\n",
       "      <td>7.14</td>\n",
       "      <td>5.36</td>\n",
       "      <td>383.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Alma Mountain Charlie</td>\n",
       "      <td>0.53</td>\n",
       "      <td>3.12</td>\n",
       "      <td>875</td>\n",
       "      <td>5.89</td>\n",
       "      <td>503.0</td>\n",
       "      <td>280.0</td>\n",
       "      <td>5.31</td>\n",
       "      <td>5.02</td>\n",
       "      <td>267.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Kings half way</td>\n",
       "      <td>0.46</td>\n",
       "      <td>2.89</td>\n",
       "      <td>820</td>\n",
       "      <td>6.28</td>\n",
       "      <td>543.0</td>\n",
       "      <td>284.0</td>\n",
       "      <td>5.37</td>\n",
       "      <td>4.65</td>\n",
       "      <td>250.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Kings half way</td>\n",
       "      <td>0.50</td>\n",
       "      <td>2.89</td>\n",
       "      <td>820</td>\n",
       "      <td>5.78</td>\n",
       "      <td>500.0</td>\n",
       "      <td>284.0</td>\n",
       "      <td>5.37</td>\n",
       "      <td>4.65</td>\n",
       "      <td>250.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Alpine Portola to top Joaquin</td>\n",
       "      <td>0.57</td>\n",
       "      <td>3.52</td>\n",
       "      <td>801</td>\n",
       "      <td>6.18</td>\n",
       "      <td>428.0</td>\n",
       "      <td>228.0</td>\n",
       "      <td>4.31</td>\n",
       "      <td>5.66</td>\n",
       "      <td>244.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Alpine Portola to top Joaquin</td>\n",
       "      <td>0.58</td>\n",
       "      <td>3.52</td>\n",
       "      <td>801</td>\n",
       "      <td>6.07</td>\n",
       "      <td>421.0</td>\n",
       "      <td>228.0</td>\n",
       "      <td>4.31</td>\n",
       "      <td>5.66</td>\n",
       "      <td>244.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Tunitas steep</td>\n",
       "      <td>0.27</td>\n",
       "      <td>1.20</td>\n",
       "      <td>599</td>\n",
       "      <td>4.44</td>\n",
       "      <td>676.0</td>\n",
       "      <td>499.0</td>\n",
       "      <td>9.45</td>\n",
       "      <td>1.93</td>\n",
       "      <td>183.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Tunitas steep</td>\n",
       "      <td>0.25</td>\n",
       "      <td>1.20</td>\n",
       "      <td>599</td>\n",
       "      <td>4.80</td>\n",
       "      <td>730.0</td>\n",
       "      <td>499.0</td>\n",
       "      <td>9.45</td>\n",
       "      <td>1.93</td>\n",
       "      <td>183.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Haskins</td>\n",
       "      <td>0.30</td>\n",
       "      <td>1.51</td>\n",
       "      <td>566</td>\n",
       "      <td>5.03</td>\n",
       "      <td>575.0</td>\n",
       "      <td>375.0</td>\n",
       "      <td>7.10</td>\n",
       "      <td>2.43</td>\n",
       "      <td>173.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Haskins</td>\n",
       "      <td>0.31</td>\n",
       "      <td>1.51</td>\n",
       "      <td>566</td>\n",
       "      <td>4.87</td>\n",
       "      <td>557.0</td>\n",
       "      <td>375.0</td>\n",
       "      <td>7.10</td>\n",
       "      <td>2.43</td>\n",
       "      <td>173.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Coe Second Switchback to flat</td>\n",
       "      <td>0.22</td>\n",
       "      <td>1.00</td>\n",
       "      <td>483</td>\n",
       "      <td>4.55</td>\n",
       "      <td>669.0</td>\n",
       "      <td>483.0</td>\n",
       "      <td>9.15</td>\n",
       "      <td>1.61</td>\n",
       "      <td>147.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Lower Redwood Gulch</td>\n",
       "      <td>0.22</td>\n",
       "      <td>1.03</td>\n",
       "      <td>474</td>\n",
       "      <td>4.68</td>\n",
       "      <td>657.0</td>\n",
       "      <td>460.0</td>\n",
       "      <td>8.72</td>\n",
       "      <td>1.66</td>\n",
       "      <td>144.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Alpine Willowbrook to Joaquin</td>\n",
       "      <td>0.29</td>\n",
       "      <td>2.27</td>\n",
       "      <td>461</td>\n",
       "      <td>7.83</td>\n",
       "      <td>485.0</td>\n",
       "      <td>203.0</td>\n",
       "      <td>3.85</td>\n",
       "      <td>3.65</td>\n",
       "      <td>141.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Alpine Willowbrook to Joaquin</td>\n",
       "      <td>0.28</td>\n",
       "      <td>2.27</td>\n",
       "      <td>461</td>\n",
       "      <td>8.11</td>\n",
       "      <td>502.0</td>\n",
       "      <td>203.0</td>\n",
       "      <td>3.85</td>\n",
       "      <td>3.65</td>\n",
       "      <td>141.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Lobitas Creek</td>\n",
       "      <td>0.20</td>\n",
       "      <td>0.96</td>\n",
       "      <td>430</td>\n",
       "      <td>4.80</td>\n",
       "      <td>655.0</td>\n",
       "      <td>448.0</td>\n",
       "      <td>8.48</td>\n",
       "      <td>1.54</td>\n",
       "      <td>131.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Tunitas lower climb</td>\n",
       "      <td>0.22</td>\n",
       "      <td>1.30</td>\n",
       "      <td>421</td>\n",
       "      <td>5.91</td>\n",
       "      <td>583.0</td>\n",
       "      <td>324.0</td>\n",
       "      <td>6.13</td>\n",
       "      <td>2.09</td>\n",
       "      <td>128.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                          title  hours  miles  feet   mph    vam   fpmi   pct  \\\n",
       "               West Alpine full   1.39   7.38  1887  5.31  414.0  256.0  4.84   \n",
       "         Kings Greer to Skyline   0.78   3.92  1536  5.03  600.0  392.0  7.42   \n",
       "         Kings Greer to Skyline   0.81   3.92  1536  4.84  578.0  392.0  7.42   \n",
       "  Old La Honda (Bridge to Stop)   0.48   3.33  1255  6.94  797.0  377.0  7.14   \n",
       "  Old La Honda (Bridge to Stop)   0.51   3.33  1255  6.53  750.0  377.0  7.14   \n",
       "          Alma Mountain Charlie   0.53   3.12   875  5.89  503.0  280.0  5.31   \n",
       "                 Kings half way   0.46   2.89   820  6.28  543.0  284.0  5.37   \n",
       "                 Kings half way   0.50   2.89   820  5.78  500.0  284.0  5.37   \n",
       "  Alpine Portola to top Joaquin   0.57   3.52   801  6.18  428.0  228.0  4.31   \n",
       "  Alpine Portola to top Joaquin   0.58   3.52   801  6.07  421.0  228.0  4.31   \n",
       "                  Tunitas steep   0.27   1.20   599  4.44  676.0  499.0  9.45   \n",
       "                  Tunitas steep   0.25   1.20   599  4.80  730.0  499.0  9.45   \n",
       "                        Haskins   0.30   1.51   566  5.03  575.0  375.0  7.10   \n",
       "                        Haskins   0.31   1.51   566  4.87  557.0  375.0  7.10   \n",
       "  Coe Second Switchback to flat   0.22   1.00   483  4.55  669.0  483.0  9.15   \n",
       "            Lower Redwood Gulch   0.22   1.03   474  4.68  657.0  460.0  8.72   \n",
       "  Alpine Willowbrook to Joaquin   0.29   2.27   461  7.83  485.0  203.0  3.85   \n",
       "  Alpine Willowbrook to Joaquin   0.28   2.27   461  8.11  502.0  203.0  3.85   \n",
       "                  Lobitas Creek   0.20   0.96   430  4.80  655.0  448.0  8.48   \n",
       "            Tunitas lower climb   0.22   1.30   421  5.91  583.0  324.0  6.13   \n",
       "\n",
       "    kms  meters  \n",
       "  11.87   575.0  \n",
       "   6.31   468.0  \n",
       "   6.31   468.0  \n",
       "   5.36   383.0  \n",
       "   5.36   383.0  \n",
       "   5.02   267.0  \n",
       "   4.65   250.0  \n",
       "   4.65   250.0  \n",
       "   5.66   244.0  \n",
       "   5.66   244.0  \n",
       "   1.93   183.0  \n",
       "   1.93   183.0  \n",
       "   2.43   173.0  \n",
       "   2.43   173.0  \n",
       "   1.61   147.0  \n",
       "   1.66   144.0  \n",
       "   3.65   141.0  \n",
       "   3.65   141.0  \n",
       "   1.54   131.0  \n",
       "   2.09   128.0  "
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "top(segments, 'feet') # Biggest climbing segments"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>title</th>\n",
       "      <th>hours</th>\n",
       "      <th>miles</th>\n",
       "      <th>feet</th>\n",
       "      <th>mph</th>\n",
       "      <th>vam</th>\n",
       "      <th>fpmi</th>\n",
       "      <th>pct</th>\n",
       "      <th>kms</th>\n",
       "      <th>meters</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Redwood Gulch hits</td>\n",
       "      <td>0.06</td>\n",
       "      <td>0.18</td>\n",
       "      <td>151</td>\n",
       "      <td>3.00</td>\n",
       "      <td>767.0</td>\n",
       "      <td>839.0</td>\n",
       "      <td>15.89</td>\n",
       "      <td>0.29</td>\n",
       "      <td>46.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Valparaiso steep</td>\n",
       "      <td>0.04</td>\n",
       "      <td>0.18</td>\n",
       "      <td>145</td>\n",
       "      <td>4.50</td>\n",
       "      <td>1105.0</td>\n",
       "      <td>806.0</td>\n",
       "      <td>15.26</td>\n",
       "      <td>0.29</td>\n",
       "      <td>44.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Valparaiso steep</td>\n",
       "      <td>0.05</td>\n",
       "      <td>0.18</td>\n",
       "      <td>145</td>\n",
       "      <td>3.60</td>\n",
       "      <td>884.0</td>\n",
       "      <td>806.0</td>\n",
       "      <td>15.26</td>\n",
       "      <td>0.29</td>\n",
       "      <td>44.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Limantour steepest</td>\n",
       "      <td>0.09</td>\n",
       "      <td>0.20</td>\n",
       "      <td>159</td>\n",
       "      <td>2.22</td>\n",
       "      <td>538.0</td>\n",
       "      <td>795.0</td>\n",
       "      <td>15.06</td>\n",
       "      <td>0.32</td>\n",
       "      <td>48.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Joaquin</td>\n",
       "      <td>0.10</td>\n",
       "      <td>0.33</td>\n",
       "      <td>254</td>\n",
       "      <td>3.30</td>\n",
       "      <td>774.0</td>\n",
       "      <td>770.0</td>\n",
       "      <td>14.58</td>\n",
       "      <td>0.53</td>\n",
       "      <td>77.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Joaquin</td>\n",
       "      <td>0.09</td>\n",
       "      <td>0.33</td>\n",
       "      <td>254</td>\n",
       "      <td>3.67</td>\n",
       "      <td>860.0</td>\n",
       "      <td>770.0</td>\n",
       "      <td>14.58</td>\n",
       "      <td>0.53</td>\n",
       "      <td>77.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Entrance Way Hill Repeats</td>\n",
       "      <td>0.02</td>\n",
       "      <td>0.10</td>\n",
       "      <td>76</td>\n",
       "      <td>5.00</td>\n",
       "      <td>1158.0</td>\n",
       "      <td>760.0</td>\n",
       "      <td>14.39</td>\n",
       "      <td>0.16</td>\n",
       "      <td>23.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Stirrup Wall</td>\n",
       "      <td>0.06</td>\n",
       "      <td>0.17</td>\n",
       "      <td>125</td>\n",
       "      <td>2.83</td>\n",
       "      <td>635.0</td>\n",
       "      <td>735.0</td>\n",
       "      <td>13.93</td>\n",
       "      <td>0.27</td>\n",
       "      <td>38.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Stirrup Wall</td>\n",
       "      <td>0.08</td>\n",
       "      <td>0.17</td>\n",
       "      <td>125</td>\n",
       "      <td>2.12</td>\n",
       "      <td>476.0</td>\n",
       "      <td>735.0</td>\n",
       "      <td>13.93</td>\n",
       "      <td>0.27</td>\n",
       "      <td>38.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Westridge 3min</td>\n",
       "      <td>0.08</td>\n",
       "      <td>0.37</td>\n",
       "      <td>240</td>\n",
       "      <td>4.62</td>\n",
       "      <td>914.0</td>\n",
       "      <td>649.0</td>\n",
       "      <td>12.29</td>\n",
       "      <td>0.60</td>\n",
       "      <td>73.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Westridge 3min</td>\n",
       "      <td>0.09</td>\n",
       "      <td>0.37</td>\n",
       "      <td>240</td>\n",
       "      <td>4.11</td>\n",
       "      <td>813.0</td>\n",
       "      <td>649.0</td>\n",
       "      <td>12.29</td>\n",
       "      <td>0.60</td>\n",
       "      <td>73.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Limantour Spit</td>\n",
       "      <td>0.09</td>\n",
       "      <td>0.47</td>\n",
       "      <td>303</td>\n",
       "      <td>5.22</td>\n",
       "      <td>1026.0</td>\n",
       "      <td>645.0</td>\n",
       "      <td>12.21</td>\n",
       "      <td>0.76</td>\n",
       "      <td>92.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Klamath Dr.</td>\n",
       "      <td>0.02</td>\n",
       "      <td>0.12</td>\n",
       "      <td>77</td>\n",
       "      <td>6.00</td>\n",
       "      <td>1173.0</td>\n",
       "      <td>642.0</td>\n",
       "      <td>12.15</td>\n",
       "      <td>0.19</td>\n",
       "      <td>23.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>green valley kicker</td>\n",
       "      <td>0.08</td>\n",
       "      <td>0.29</td>\n",
       "      <td>178</td>\n",
       "      <td>3.62</td>\n",
       "      <td>678.0</td>\n",
       "      <td>614.0</td>\n",
       "      <td>11.62</td>\n",
       "      <td>0.47</td>\n",
       "      <td>54.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Redwood Gulch wall</td>\n",
       "      <td>0.11</td>\n",
       "      <td>0.43</td>\n",
       "      <td>258</td>\n",
       "      <td>3.91</td>\n",
       "      <td>715.0</td>\n",
       "      <td>600.0</td>\n",
       "      <td>11.36</td>\n",
       "      <td>0.69</td>\n",
       "      <td>79.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Paloma Climb</td>\n",
       "      <td>0.02</td>\n",
       "      <td>0.14</td>\n",
       "      <td>82</td>\n",
       "      <td>7.00</td>\n",
       "      <td>1250.0</td>\n",
       "      <td>586.0</td>\n",
       "      <td>11.09</td>\n",
       "      <td>0.23</td>\n",
       "      <td>25.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Try not to fall back</td>\n",
       "      <td>0.21</td>\n",
       "      <td>0.71</td>\n",
       "      <td>410</td>\n",
       "      <td>3.38</td>\n",
       "      <td>595.0</td>\n",
       "      <td>577.0</td>\n",
       "      <td>10.94</td>\n",
       "      <td>1.14</td>\n",
       "      <td>125.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Westridge</td>\n",
       "      <td>0.14</td>\n",
       "      <td>0.68</td>\n",
       "      <td>385</td>\n",
       "      <td>4.86</td>\n",
       "      <td>838.0</td>\n",
       "      <td>566.0</td>\n",
       "      <td>10.72</td>\n",
       "      <td>1.09</td>\n",
       "      <td>117.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Westridge</td>\n",
       "      <td>0.16</td>\n",
       "      <td>0.68</td>\n",
       "      <td>385</td>\n",
       "      <td>4.25</td>\n",
       "      <td>733.0</td>\n",
       "      <td>566.0</td>\n",
       "      <td>10.72</td>\n",
       "      <td>1.09</td>\n",
       "      <td>117.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Stair Step</td>\n",
       "      <td>0.09</td>\n",
       "      <td>0.32</td>\n",
       "      <td>175</td>\n",
       "      <td>3.56</td>\n",
       "      <td>593.0</td>\n",
       "      <td>547.0</td>\n",
       "      <td>10.36</td>\n",
       "      <td>0.51</td>\n",
       "      <td>53.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                      title  hours  miles  feet   mph     vam   fpmi    pct  \\\n",
       "         Redwood Gulch hits   0.06   0.18   151  3.00   767.0  839.0  15.89   \n",
       "           Valparaiso steep   0.04   0.18   145  4.50  1105.0  806.0  15.26   \n",
       "           Valparaiso steep   0.05   0.18   145  3.60   884.0  806.0  15.26   \n",
       "         Limantour steepest   0.09   0.20   159  2.22   538.0  795.0  15.06   \n",
       "                    Joaquin   0.10   0.33   254  3.30   774.0  770.0  14.58   \n",
       "                    Joaquin   0.09   0.33   254  3.67   860.0  770.0  14.58   \n",
       "  Entrance Way Hill Repeats   0.02   0.10    76  5.00  1158.0  760.0  14.39   \n",
       "               Stirrup Wall   0.06   0.17   125  2.83   635.0  735.0  13.93   \n",
       "               Stirrup Wall   0.08   0.17   125  2.12   476.0  735.0  13.93   \n",
       "             Westridge 3min   0.08   0.37   240  4.62   914.0  649.0  12.29   \n",
       "             Westridge 3min   0.09   0.37   240  4.11   813.0  649.0  12.29   \n",
       "             Limantour Spit   0.09   0.47   303  5.22  1026.0  645.0  12.21   \n",
       "                Klamath Dr.   0.02   0.12    77  6.00  1173.0  642.0  12.15   \n",
       "        green valley kicker   0.08   0.29   178  3.62   678.0  614.0  11.62   \n",
       "         Redwood Gulch wall   0.11   0.43   258  3.91   715.0  600.0  11.36   \n",
       "               Paloma Climb   0.02   0.14    82  7.00  1250.0  586.0  11.09   \n",
       "       Try not to fall back   0.21   0.71   410  3.38   595.0  577.0  10.94   \n",
       "                  Westridge   0.14   0.68   385  4.86   838.0  566.0  10.72   \n",
       "                  Westridge   0.16   0.68   385  4.25   733.0  566.0  10.72   \n",
       "                 Stair Step   0.09   0.32   175  3.56   593.0  547.0  10.36   \n",
       "\n",
       "   kms  meters  \n",
       "  0.29    46.0  \n",
       "  0.29    44.0  \n",
       "  0.29    44.0  \n",
       "  0.32    48.0  \n",
       "  0.53    77.0  \n",
       "  0.53    77.0  \n",
       "  0.16    23.0  \n",
       "  0.27    38.0  \n",
       "  0.27    38.0  \n",
       "  0.60    73.0  \n",
       "  0.60    73.0  \n",
       "  0.76    92.0  \n",
       "  0.19    23.0  \n",
       "  0.47    54.0  \n",
       "  0.69    79.0  \n",
       "  0.23    25.0  \n",
       "  1.14   125.0  \n",
       "  1.09   117.0  \n",
       "  1.09   117.0  \n",
       "  0.51    53.0  "
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "top(segments, 'pct') # Steepest climbs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>date</th>\n",
       "      <th>year</th>\n",
       "      <th>title</th>\n",
       "      <th>hours</th>\n",
       "      <th>miles</th>\n",
       "      <th>feet</th>\n",
       "      <th>mph</th>\n",
       "      <th>vam</th>\n",
       "      <th>fpmi</th>\n",
       "      <th>pct</th>\n",
       "      <th>kms</th>\n",
       "      <th>meters</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Fri, 1/9/2012</td>\n",
       "      <td>2012</td>\n",
       "      <td>Otago Rail Trail Century</td>\n",
       "      <td>7.87</td>\n",
       "      <td>102.41</td>\n",
       "      <td>2286</td>\n",
       "      <td>13.01</td>\n",
       "      <td>89.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>0.42</td>\n",
       "      <td>164.78</td>\n",
       "      <td>697.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Sat, 5/7/2022</td>\n",
       "      <td>2022</td>\n",
       "      <td>Wine Country Century</td>\n",
       "      <td>6.65</td>\n",
       "      <td>100.26</td>\n",
       "      <td>5253</td>\n",
       "      <td>15.08</td>\n",
       "      <td>241.0</td>\n",
       "      <td>52.0</td>\n",
       "      <td>0.99</td>\n",
       "      <td>161.32</td>\n",
       "      <td>1601.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Thu, 6/14/2012</td>\n",
       "      <td>2012</td>\n",
       "      <td>Coyote Creek Century with Juliet</td>\n",
       "      <td>8.14</td>\n",
       "      <td>100.07</td>\n",
       "      <td>1513</td>\n",
       "      <td>12.29</td>\n",
       "      <td>57.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>0.29</td>\n",
       "      <td>161.01</td>\n",
       "      <td>461.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Sat, 5/13/2017</td>\n",
       "      <td>2017</td>\n",
       "      <td>Morgan Hill iCare Classic</td>\n",
       "      <td>7.46</td>\n",
       "      <td>100.05</td>\n",
       "      <td>4596</td>\n",
       "      <td>13.41</td>\n",
       "      <td>188.0</td>\n",
       "      <td>46.0</td>\n",
       "      <td>0.87</td>\n",
       "      <td>160.98</td>\n",
       "      <td>1401.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Sat, 3/9/2024</td>\n",
       "      <td>2024</td>\n",
       "      <td>Millbrae / San Bruno / Sawyer Camp Trail / Bay...</td>\n",
       "      <td>8.12</td>\n",
       "      <td>98.52</td>\n",
       "      <td>4896</td>\n",
       "      <td>12.13</td>\n",
       "      <td>184.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>0.94</td>\n",
       "      <td>158.52</td>\n",
       "      <td>1492.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Fri, 9/20/2024</td>\n",
       "      <td>2024</td>\n",
       "      <td>Santa Rosa + Michael J Fox</td>\n",
       "      <td>6.28</td>\n",
       "      <td>93.33</td>\n",
       "      <td>3628</td>\n",
       "      <td>14.86</td>\n",
       "      <td>176.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>0.74</td>\n",
       "      <td>150.17</td>\n",
       "      <td>1106.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Sat, 5/12/2018</td>\n",
       "      <td>2018</td>\n",
       "      <td>ICare Classic, Morgan Hill</td>\n",
       "      <td>6.80</td>\n",
       "      <td>91.29</td>\n",
       "      <td>4160</td>\n",
       "      <td>13.42</td>\n",
       "      <td>186.0</td>\n",
       "      <td>46.0</td>\n",
       "      <td>0.86</td>\n",
       "      <td>146.89</td>\n",
       "      <td>1268.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Sat, 5/6/2017</td>\n",
       "      <td>2017</td>\n",
       "      <td>Wine Country Century</td>\n",
       "      <td>7.26</td>\n",
       "      <td>89.49</td>\n",
       "      <td>5246</td>\n",
       "      <td>12.33</td>\n",
       "      <td>220.0</td>\n",
       "      <td>59.0</td>\n",
       "      <td>1.11</td>\n",
       "      <td>143.99</td>\n",
       "      <td>1599.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Fri, 8/10/2018</td>\n",
       "      <td>2018</td>\n",
       "      <td>Bike Ride Northwest Day 6</td>\n",
       "      <td>6.24</td>\n",
       "      <td>84.70</td>\n",
       "      <td>4380</td>\n",
       "      <td>13.57</td>\n",
       "      <td>214.0</td>\n",
       "      <td>52.0</td>\n",
       "      <td>0.98</td>\n",
       "      <td>136.28</td>\n",
       "      <td>1335.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Fri, 2/28/2020</td>\n",
       "      <td>2020</td>\n",
       "      <td>Sawyer Camp Trail</td>\n",
       "      <td>6.41</td>\n",
       "      <td>84.43</td>\n",
       "      <td>3448</td>\n",
       "      <td>13.17</td>\n",
       "      <td>164.0</td>\n",
       "      <td>41.0</td>\n",
       "      <td>0.77</td>\n",
       "      <td>135.85</td>\n",
       "      <td>1051.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Sun, 8/25/2024</td>\n",
       "      <td>2024</td>\n",
       "      <td>Petaluma–Santa Rosa + Napa</td>\n",
       "      <td>5.22</td>\n",
       "      <td>84.26</td>\n",
       "      <td>2966</td>\n",
       "      <td>16.14</td>\n",
       "      <td>173.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>0.67</td>\n",
       "      <td>135.57</td>\n",
       "      <td>904.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Sat, 6/1/2024</td>\n",
       "      <td>2024</td>\n",
       "      <td>OLH / Old Haul / Loma Mar / Pescadero / Tunita...</td>\n",
       "      <td>7.84</td>\n",
       "      <td>81.70</td>\n",
       "      <td>7314</td>\n",
       "      <td>10.42</td>\n",
       "      <td>284.0</td>\n",
       "      <td>90.0</td>\n",
       "      <td>1.70</td>\n",
       "      <td>131.46</td>\n",
       "      <td>2229.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Wed, 6/7/2023</td>\n",
       "      <td>2023</td>\n",
       "      <td>Los Altos</td>\n",
       "      <td>7.05</td>\n",
       "      <td>81.54</td>\n",
       "      <td>2110</td>\n",
       "      <td>11.57</td>\n",
       "      <td>91.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>0.49</td>\n",
       "      <td>131.20</td>\n",
       "      <td>643.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Sun, 8/30/2020</td>\n",
       "      <td>2020</td>\n",
       "      <td>Los Gatos</td>\n",
       "      <td>6.36</td>\n",
       "      <td>80.92</td>\n",
       "      <td>2100</td>\n",
       "      <td>12.72</td>\n",
       "      <td>101.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>0.49</td>\n",
       "      <td>130.20</td>\n",
       "      <td>640.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Sat, 9/17/2022</td>\n",
       "      <td>2022</td>\n",
       "      <td>San Gregorio / Tunitas</td>\n",
       "      <td>6.56</td>\n",
       "      <td>80.53</td>\n",
       "      <td>6015</td>\n",
       "      <td>12.28</td>\n",
       "      <td>279.0</td>\n",
       "      <td>75.0</td>\n",
       "      <td>1.41</td>\n",
       "      <td>129.57</td>\n",
       "      <td>1833.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Sat, 10/1/2016</td>\n",
       "      <td>2016</td>\n",
       "      <td>Half Moon Bay overnight campout</td>\n",
       "      <td>7.51</td>\n",
       "      <td>80.07</td>\n",
       "      <td>6039</td>\n",
       "      <td>10.66</td>\n",
       "      <td>245.0</td>\n",
       "      <td>75.0</td>\n",
       "      <td>1.43</td>\n",
       "      <td>128.83</td>\n",
       "      <td>1841.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Mon, 10/5/2020</td>\n",
       "      <td>2020</td>\n",
       "      <td>Half way around the bay on bay trail</td>\n",
       "      <td>6.44</td>\n",
       "      <td>80.05</td>\n",
       "      <td>541</td>\n",
       "      <td>12.43</td>\n",
       "      <td>26.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.13</td>\n",
       "      <td>128.80</td>\n",
       "      <td>165.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Sun, 6/21/2020</td>\n",
       "      <td>2020</td>\n",
       "      <td>Sawyer Camp Trail</td>\n",
       "      <td>6.59</td>\n",
       "      <td>79.78</td>\n",
       "      <td>1738</td>\n",
       "      <td>12.11</td>\n",
       "      <td>80.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>0.41</td>\n",
       "      <td>128.37</td>\n",
       "      <td>530.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Thu, 1/5/2012</td>\n",
       "      <td>2012</td>\n",
       "      <td>Tekapo Lake to Omarama New Zealand</td>\n",
       "      <td>5.46</td>\n",
       "      <td>79.42</td>\n",
       "      <td>2145</td>\n",
       "      <td>14.55</td>\n",
       "      <td>120.0</td>\n",
       "      <td>27.0</td>\n",
       "      <td>0.51</td>\n",
       "      <td>127.79</td>\n",
       "      <td>654.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>Tue, 8/7/2018</td>\n",
       "      <td>2018</td>\n",
       "      <td>Bike Ride Northwest Day 3</td>\n",
       "      <td>6.18</td>\n",
       "      <td>78.96</td>\n",
       "      <td>5092</td>\n",
       "      <td>12.78</td>\n",
       "      <td>251.0</td>\n",
       "      <td>64.0</td>\n",
       "      <td>1.22</td>\n",
       "      <td>127.05</td>\n",
       "      <td>1552.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            date  year                                              title  \\\n",
       "   Fri, 1/9/2012  2012                           Otago Rail Trail Century   \n",
       "   Sat, 5/7/2022  2022                               Wine Country Century   \n",
       "  Thu, 6/14/2012  2012                   Coyote Creek Century with Juliet   \n",
       "  Sat, 5/13/2017  2017                          Morgan Hill iCare Classic   \n",
       "   Sat, 3/9/2024  2024  Millbrae / San Bruno / Sawyer Camp Trail / Bay...   \n",
       "  Fri, 9/20/2024  2024                         Santa Rosa + Michael J Fox   \n",
       "  Sat, 5/12/2018  2018                         ICare Classic, Morgan Hill   \n",
       "   Sat, 5/6/2017  2017                               Wine Country Century   \n",
       "  Fri, 8/10/2018  2018                          Bike Ride Northwest Day 6   \n",
       "  Fri, 2/28/2020  2020                                  Sawyer Camp Trail   \n",
       "  Sun, 8/25/2024  2024                         Petaluma–Santa Rosa + Napa   \n",
       "   Sat, 6/1/2024  2024  OLH / Old Haul / Loma Mar / Pescadero / Tunita...   \n",
       "   Wed, 6/7/2023  2023                                          Los Altos   \n",
       "  Sun, 8/30/2020  2020                                          Los Gatos   \n",
       "  Sat, 9/17/2022  2022                             San Gregorio / Tunitas   \n",
       "  Sat, 10/1/2016  2016                    Half Moon Bay overnight campout   \n",
       "  Mon, 10/5/2020  2020               Half way around the bay on bay trail   \n",
       "  Sun, 6/21/2020  2020                                  Sawyer Camp Trail   \n",
       "   Thu, 1/5/2012  2012                 Tekapo Lake to Omarama New Zealand   \n",
       "   Tue, 8/7/2018  2018                          Bike Ride Northwest Day 3   \n",
       "\n",
       "  hours   miles  feet    mph    vam  fpmi   pct     kms  meters  \n",
       "   7.87  102.41  2286  13.01   89.0  22.0  0.42  164.78   697.0  \n",
       "   6.65  100.26  5253  15.08  241.0  52.0  0.99  161.32  1601.0  \n",
       "   8.14  100.07  1513  12.29   57.0  15.0  0.29  161.01   461.0  \n",
       "   7.46  100.05  4596  13.41  188.0  46.0  0.87  160.98  1401.0  \n",
       "   8.12   98.52  4896  12.13  184.0  50.0  0.94  158.52  1492.0  \n",
       "   6.28   93.33  3628  14.86  176.0  39.0  0.74  150.17  1106.0  \n",
       "   6.80   91.29  4160  13.42  186.0  46.0  0.86  146.89  1268.0  \n",
       "   7.26   89.49  5246  12.33  220.0  59.0  1.11  143.99  1599.0  \n",
       "   6.24   84.70  4380  13.57  214.0  52.0  0.98  136.28  1335.0  \n",
       "   6.41   84.43  3448  13.17  164.0  41.0  0.77  135.85  1051.0  \n",
       "   5.22   84.26  2966  16.14  173.0  35.0  0.67  135.57   904.0  \n",
       "   7.84   81.70  7314  10.42  284.0  90.0  1.70  131.46  2229.0  \n",
       "   7.05   81.54  2110  11.57   91.0  26.0  0.49  131.20   643.0  \n",
       "   6.36   80.92  2100  12.72  101.0  26.0  0.49  130.20   640.0  \n",
       "   6.56   80.53  6015  12.28  279.0  75.0  1.41  129.57  1833.0  \n",
       "   7.51   80.07  6039  10.66  245.0  75.0  1.43  128.83  1841.0  \n",
       "   6.44   80.05   541  12.43   26.0   7.0  0.13  128.80   165.0  \n",
       "   6.59   79.78  1738  12.11   80.0  22.0  0.41  128.37   530.0  \n",
       "   5.46   79.42  2145  14.55  120.0  27.0  0.51  127.79   654.0  \n",
       "   6.18   78.96  5092  12.78  251.0  64.0  1.22  127.05  1552.0  "
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "top(rides, 'miles') # Longest rides"
   ]
  }
 ],
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