added analysis based on Bernd

BlockScience · Jul 25, 2019 · 1014ebc · 1014ebc
1 parent a1afa70
commit 1014ebc
Showing 1 changed file with 94 additions and 14 deletions.
diff --git a/funding campaign demo.ipynb b/funding campaign demo.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -13,7 +13,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -39,13 +39,13 @@
     "                'cutoff_date': init_date+timedelta(days=365*6/12),\n",
     "                'expected_time': timedelta(days=365*12/12)},\n",
     "             4:{'name': 'Analytics',\n",
-    "                'multiplier': 1.0,\n",
+    "                'multiplier': 1.25,\n",
     "                'min_raise': 780.0, \n",
     "                'max_raise': 1500.0, \n",
     "                'cutoff_date': init_date+timedelta(days=365*4/12.0),\n",
     "                'expected_time': timedelta(days=365*16/12.0)},\n",
     "             5:{'name': 'Mobile first',\n",
-    "                'multiplier': 1.0,\n",
+    "                'multiplier': 1.125,\n",
     "                'min_raise': 1610.0, \n",
     "                'max_raise': 2500.0, \n",
     "                'cutoff_date': init_date+timedelta(days=365*8/12.0),\n",
@@ -62,51 +62,131 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 23,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "total_min = sum([campaigns[i]['min_raise'] for i in campaigns.keys()])\n",
+    "total_max = sum([campaigns[i]['max_raise'] for i in campaigns.keys()])\n",
+    "\n",
+    "total_first3_at_max = sum([campaigns[i]['max_raise'] for i in campaigns.keys()if i<4] )"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "smallest outcome: 6740.0\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(\"smallest outcome: \"+str(total_min))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "largest outcome: 12000.0\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(\"largest outcome: \"+str(total_max))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "outcome at first 3 full amount: 5000.0\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(\"outcome at first 3 full amount: \"+str(total_first3_at_max))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "share of total budget covered by capping first 3: 0.7418397626112759\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(\"share of total budget covered by capping first 3: \"+str(total_first3_at_max/total_min))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "{1: {'cutoff_date': datetime.datetime(2019, 9, 24, 6, 59, 26, 296512),\n",
+       "{1: {'cutoff_date': datetime.datetime(2019, 9, 24, 7, 14, 2, 789927),\n",
        "  'expected_time': datetime.timedelta(243, 28800),\n",
        "  'max_raise': 1500.0,\n",
        "  'min_raise': 984.0,\n",
        "  'multiplier': 2.5,\n",
        "  'name': 'ABC field test'},\n",
-       " 2: {'cutoff_date': datetime.datetime(2019, 11, 24, 2, 59, 26, 296512),\n",
+       " 2: {'cutoff_date': datetime.datetime(2019, 11, 24, 3, 14, 2, 789927),\n",
        "  'expected_time': datetime.timedelta(182, 43200),\n",
        "  'max_raise': 1500.0,\n",
        "  'min_raise': 726.0,\n",
        "  'multiplier': 2.0,\n",
        "  'name': 'Giveth field test'},\n",
-       " 3: {'cutoff_date': datetime.datetime(2020, 1, 23, 22, 59, 26, 296512),\n",
+       " 3: {'cutoff_date': datetime.datetime(2020, 1, 23, 23, 14, 2, 789927),\n",
        "  'expected_time': datetime.timedelta(365),\n",
        "  'max_raise': 2000.0,\n",
        "  'min_raise': 1140.0,\n",
        "  'multiplier': 1.5,\n",
        "  'name': 'CV field test'},\n",
-       " 4: {'cutoff_date': datetime.datetime(2019, 11, 24, 2, 59, 26, 296512),\n",
+       " 4: {'cutoff_date': datetime.datetime(2019, 11, 24, 3, 14, 2, 789927),\n",
        "  'expected_time': datetime.timedelta(486, 57600),\n",
        "  'max_raise': 1500.0,\n",
        "  'min_raise': 780.0,\n",
-       "  'multiplier': 1.0,\n",
+       "  'multiplier': 1.25,\n",
        "  'name': 'Analytics'},\n",
-       " 5: {'cutoff_date': datetime.datetime(2020, 3, 24, 18, 59, 26, 296512),\n",
+       " 5: {'cutoff_date': datetime.datetime(2020, 3, 24, 19, 14, 2, 789927),\n",
        "  'expected_time': datetime.timedelta(730),\n",
        "  'max_raise': 2500.0,\n",
        "  'min_raise': 1610.0,\n",
-       "  'multiplier': 1.0,\n",
+       "  'multiplier': 1.125,\n",
        "  'name': 'Mobile first'},\n",
-       " 6: {'cutoff_date': datetime.datetime(2020, 1, 23, 22, 59, 26, 296512),\n",
+       " 6: {'cutoff_date': datetime.datetime(2020, 1, 23, 23, 14, 2, 789927),\n",
        "  'expected_time': datetime.timedelta(912, 43200),\n",
        "  'max_raise': 3000.0,\n",
        "  'min_raise': 1500.0,\n",
        "  'multiplier': 1.0,\n",
        "  'name': 'Easy Deploy'}}"
       ]
      },
-     "execution_count": 3,
+     "execution_count": 10,
      "metadata": {},
      "output_type": "execute_result"
     }