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    "import plotly.express as px\n",
    "import plotly.graph_objs as go\n",
    "\n",
    "fig = go.Figure()\n",
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    "    textinfo = \"percent initial\"))\n",
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  {
   "cell_type": "code",
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   "id": "293866a4",
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   "source": [
    "import plotly.express as px\n",
    "import plotly.graph_objs as go\n",
    "\n",
    "fig = go.Figure()\n",
    "\n",
    "fig.add_trace(go.Funnel(marker = {\"color\": [\"darkorange\", \"darkorange\", \"darkorange\", \"darkorange\", \"darkorange\"]},\n",
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    "    textinfo = \"percent initial\"))\n",
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    "fig.update_layout(title_text='<b>Completion rate comparing with initial step</b>', title_x=0.5,paper_bgcolor='rgb(216,236,247)',plot_bgcolor='rgb(216,236,247)', width=800, height=400)\n",
    "\n",
    "fig.write_image(\"fig2.png\")\n",
    "fig.show()"
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  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "7f0c5ca8",
   "metadata": {},
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   ],
   "source": [
    "import plotly.express as px\n",
    "from plotly import graph_objects as go\n",
    "\n",
    "fig = go.Figure()\n",
    "\n",
    "fig.add_trace(go.Funnel(marker = {\"color\": [\"firebrick\", \"firebrick\", \"firebrick\", \"firebrick\", \"firebrick\"]},\n",
    "                        connector={\"fillcolor\": \"lightpink\"},\n",
    "                        name = '<b>Completion rate comparing with previous step</b>',\n",
    "                        y=[\"<b>1. What are you looking for?</b>\", \"<b>2. What's your fit?\", \"<b>3. Which shapes do you like?\", \"<b>4. Which colors do you like?\", \"<b>5. When was your last eye exam?\"],\n",
    "                        x=[100, 95, 80, 95,75],\n",
    "                        textinfo = \"percent initial\"))\n",
    "\n",
    "fig.add_trace(go.Funnel(marker = {\"color\": [\"darkorange\", \"darkorange\", \"darkorange\", \"darkorange\", \"darkorange\"]},\n",
    "                        connector={\"fillcolor\": \"bisque\"},\n",
    "                        textfont=dict(color='#fff'),\n",
    "                        name = '<b>Completion rate comparing with initial step</b>',\n",
    "                        orientation = \"h\",\n",
    "                        x=[100, 95, 76, 72,54],\n",
    "                        y=[\"<b>1. What are you looking for?</b>\", \"<b>2. What's your fit?\", \"<b>3. Which shapes do you like?\", \"<b>4. Which colors do you like?\", \"<b>5. When was your last eye exam?\"],\n",
    "                        textinfo = \"percent initial\"))\n",
    "\n",
    "fig.update_layout(title_text='<b>Quiz Questions Completion rates</b>',\n",
    "                  title_x=0.5, title_y=0.81,paper_bgcolor='rgb(216,236,247)',\n",
    "                  plot_bgcolor='rgb(216,236,247)', \n",
    "                  width=800, height=400, \n",
    "                  legend=dict(yanchor=\"top\",\n",
    "                              y=-0.10,\n",
    "                              xanchor=\"left\",\n",
    "                              x=0.01))\n",
    "fig.write_image(\"fig3.png\")\n",
    "fig.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "eeedaa46",
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     },
     "metadata": {},
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    }
   ],
   "source": [
    "import plotly.express as px\n",
    "import plotly.graph_objs as go\n",
    "\n",
    "fig = go.Figure()\n",
    "\n",
    "fig.add_trace(go.Funnel(marker = {\"color\": [\"firebrick\", \"firebrick\", \"firebrick\"]},\n",
    "                                 connector={\"fillcolor\": \"lightpink\"},\n",
    "    name = '',\n",
    "    x=[1000, 750, 495],\n",
    "    y=[\"<b>User filled the quiz</b>\", \"<b>User tried glasses\", \"<b>User purchased glasses\"],\n",
    "    textinfo = \"value + percent previous\"))\n",
    "\n",
    "fig.update_layout(title_text='<b>Completion rate comparing with previous step</b>', title_x=0.5,paper_bgcolor='rgb(216,236,247)',plot_bgcolor='rgb(216,236,247)', width=800, height=400)\n",
    "\n",
    "fig.write_image(\"fig4.png\")\n",
    "fig.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "b8d6e711",
   "metadata": {},
   "outputs": [
    {
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         "name": "<b>Test A (3 pair of glasses)</b>",
         "textinfo": "value+percent previous",
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         "y": [
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          "fillcolor": "bisque"
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         "marker": {
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         "name": "<b>Test B (5 pair of glasses)</b>",
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       "                            \n",
       "var gd = document.getElementById('5ebe38bf-9fb9-45a3-ba03-4ee8a35a55a1');\n",
       "var x = new MutationObserver(function (mutations, observer) {{\n",
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       "        if (!display || display === 'none') {{\n",
       "            console.log([gd, 'removed!']);\n",
       "            Plotly.purge(gd);\n",
       "            observer.disconnect();\n",
       "        }}\n",
       "}});\n",
       "\n",
       "// Listen for the removal of the full notebook cells\n",
       "var notebookContainer = gd.closest('#notebook-container');\n",
       "if (notebookContainer) {{\n",
       "    x.observe(notebookContainer, {childList: true});\n",
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       "// Listen for the clearing of the current output cell\n",
       "var outputEl = gd.closest('.output');\n",
       "if (outputEl) {{\n",
       "    x.observe(outputEl, {childList: true});\n",
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       "\n",
       "                        })                };                });            </script>        </div>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import plotly.express as px\n",
    "from plotly import graph_objects as go\n",
    "\n",
    "fig = go.Figure()\n",
    "\n",
    "fig.add_trace(go.Funnel(marker = {\"color\": [\"firebrick\", \"firebrick\"]},\n",
    "                        connector={\"fillcolor\": \"lightpink\"},\n",
    "                        name = '<b>Test A (3 pair of glasses)</b>',\n",
    "                        y=[\"<b>User tried glasses</b>\", \"<b>User purchased glasses\"],\n",
    "                        x=[379, 201],\n",
    "                        textinfo = \"value+percent previous\"))\n",
    "\n",
    "fig.add_trace(go.Funnel(marker = {\"color\": [\"darkorange\", \"darkorange\"]},\n",
    "                        connector={\"fillcolor\": \"bisque\"},\n",
    "                        textfont=dict(color='#fff'),\n",
    "                        name = '<b>Test B (5 pair of glasses)</b>',\n",
    "                        orientation = \"h\",\n",
    "                        x=[371,294],\n",
    "                        y=[\"<b>User tried glasses</b>\", \"<b>User purchased glasses\"],\n",
    "                        textinfo = \"value+percent previous\"))\n",
    "\n",
    "fig.update_layout(title_text='<b>A/B Test</b>',\n",
    "                  title_x=0.5, title_y=0.81,paper_bgcolor='rgb(216,236,247)',\n",
    "                  plot_bgcolor='rgb(216,236,247)', \n",
    "                  width=800, height=400, \n",
    "                  legend=dict(yanchor=\"top\",\n",
    "                              y=-0.10,\n",
    "                              xanchor=\"left\",\n",
    "                              x=0.25))\n",
    "fig.write_image(\"fig5.png\")\n",
    "fig.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "id": "3f9a2c9b",
   "metadata": {},
   "outputs": [
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         "marker": {
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         "name": "",
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         "texttemplate": "%{value}",
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          "Men's Styles",
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         "xaxis": "x",
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   ],
   "source": [
    "import pandas as pd\n",
    "import plotly.express as px\n",
    "from plotly import graph_objects as go\n",
    "df=pd.read_csv(\"purchase.csv\")\n",
    "\n",
    "fig = px.histogram(df, x='style', y='total_sales',histfunc='sum',text_auto=True)\n",
    "fig.update_layout(title_text='<b>Total Sales per Styles</b>',\n",
    "                  title_x=0.5, title_y=0.90,paper_bgcolor='rgb(216,236,247)',\n",
    "                  plot_bgcolor='rgb(216,236,247)', \n",
    "                  width=400, height=400, \n",
    "                  xaxis =  {'showgrid': False,'categoryorder':'total descending'},\n",
    "                  yaxis =  {'showgrid': False},\n",
    "                  xaxis_title=\"\",\n",
    "                  yaxis_title=\"Total Sales\",\n",
    "                  legend=dict(yanchor=\"top\",\n",
    "                              y=-0.10,\n",
    "                              xanchor=\"left\",\n",
    "                              x=0.25))\n",
    "fig.write_image(\"fig6.png\")\n",
    "fig.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "id": "f9b75596",
   "metadata": {},
   "outputs": [
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   ],
   "source": [
    "import pandas as pd\n",
    "import plotly.express as px\n",
    "from plotly import graph_objects as go\n",
    "df=pd.read_csv(\"purchase.csv\")\n",
    "\n",
    "fig = px.histogram(df, x='model_name', y='total_sales',histfunc='sum',text_auto=True)\n",
    "fig.update_layout(title_text='<b>Total Sales per Model Name</b>',\n",
    "                  title_x=0.5, title_y=0.90,paper_bgcolor='rgb(216,236,247)',\n",
    "                  plot_bgcolor='rgb(216,236,247)', \n",
    "                  width=400, height=400, \n",
    "                  xaxis =  {'showgrid': False,'categoryorder':'total descending'},\n",
    "                  yaxis =  {'showgrid': False},\n",
    "                  xaxis_title=\"\",\n",
    "                  yaxis_title=\"Total Sales\",\n",
    "                  legend=dict(yanchor=\"top\",\n",
    "                              y=-0.10,\n",
    "                              xanchor=\"left\",\n",
    "                              x=0.25))\n",
    "fig.write_image(\"fig7.png\")\n",
    "fig.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "id": "c31a0b48",
   "metadata": {},
   "outputs": [
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     },
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     "output_type": "display_data"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import plotly.express as px\n",
    "from plotly import graph_objects as go\n",
    "df=pd.read_csv(\"purchase.csv\")\n",
    "\n",
    "fig = px.histogram(df, x='color', y='total_sales',histfunc='sum',text_auto=True)\n",
    "fig.update_layout(title_text='<b>Total Sales per Color</b>',\n",
    "                  title_x=0.5, title_y=0.90,paper_bgcolor='rgb(216,236,247)',\n",
    "                  plot_bgcolor='rgb(216,236,247)', \n",
    "                  width=800, height=600, \n",
    "                  xaxis =  {'showgrid': False,'categoryorder':'total descending'},\n",
    "                  yaxis =  {'showgrid': False},\n",
    "                  xaxis_title=\"\",\n",
    "                  yaxis_title=\"Total Sales\",\n",
    "                  legend=dict(yanchor=\"top\",\n",
    "                              y=-0.10,\n",
    "                              xanchor=\"left\",\n",
    "                              x=0.25))\n",
    "fig.write_image(\"fig8.png\")\n",
    "fig.show()"
   ]
  }
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