{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Setup and initialization\n",
    "import pandas as pd\n",
    "import plotly.express as px\n",
    "import plotly.graph_objects as go\n",
    "import numpy as np\n",
    "\n",
    "# Load CSV file into a raw dataframe\n",
    "df = pd.read_csv('churn.csv')\n",
    "\n",
    "# Pull some quick stats\n",
    "category_totals = df.groupby('category').size()\n",
    "\n",
    "user_category_labels = {\n",
    "    'quick-exit': 'Free trial only',\n",
    "    'fair-trial': '74 day churn',\n",
    "    'short-termer': '6 month churn',\n",
    "    'active-user': 'No churn'\n",
    "}\n",
    "metric_timeframe_labels = {\n",
    "    'short term': 'During free trial',\n",
    "    'medium term': 'After trial, before 90 days',\n",
    "    'long term': 'After 90 days, first 6 months'\n",
    "}\n",
    "\n",
    "category_order = {\n",
    "    'category': list(user_category_labels.keys())\n",
    "}\n",
    "\n",
    "def metric_label(metric_key):\n",
    "    parts = metric_key.split('_')\n",
    "    if \"term\" in parts:\n",
    "        timeframe = metric_timeframe_labels[\" \".join(parts[-2:])]\n",
    "        name = \" \".join(parts[0:-2]).title()\n",
    "    else:\n",
    "        timeframe = 'Lifetime'\n",
    "        name = parts.join(\" \").title()\n",
    "    return f\"{name}: {timeframe}\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "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>category</th>\n",
       "      <th>bookings_short_term</th>\n",
       "      <th>bookings_medium_term</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>active-user</td>\n",
       "      <td>0.092517</td>\n",
       "      <td>0.510879</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>fair-trial</td>\n",
       "      <td>0.198971</td>\n",
       "      <td>0.057390</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>quick-exit</td>\n",
       "      <td>0.133663</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>short-termer</td>\n",
       "      <td>0.271699</td>\n",
       "      <td>0.355134</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       category  bookings_short_term  bookings_medium_term\n",
       "0   active-user             0.092517              0.510879\n",
       "1    fair-trial             0.198971              0.057390\n",
       "2    quick-exit             0.133663              0.000000\n",
       "3  short-termer             0.271699              0.355134"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.groupby('category')[['bookings_short_term', 'bookings_medium_term']].mean().reset_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Averages chart renderer\n",
    "def averages_chart(metric_name, title):\n",
    "    user_categories_to_include = ['quick-exit', 'fair-trial', 'short-termer', 'active-user']\n",
    "    metrics_to_include = [f'{metric_name}_short_term', f'{metric_name}_medium_term', f'{metric_name}_long_term']\n",
    "    metric_labels = [metric_label(key) for key in metrics_to_include]\n",
    "    # Get our averages\n",
    "    grouped = df.groupby('category')[metrics_to_include].mean().reset_index()\n",
    "    # Pivot the data to a form Plotly will understand\n",
    "    melted = grouped.melt(id_vars='category', var_name='timeframe', value_name='value')\n",
    "    # Set up the basics of the chart\n",
    "    bar_chart = px.bar(\n",
    "        melted,\n",
    "        x='category',\n",
    "        y='value',\n",
    "        color='timeframe',\n",
    "        barmode='group',\n",
    "        title=title,\n",
    "        category_orders=category_order,\n",
    "        labels=metric_labels\n",
    "    )\n",
    "    # Make some UX tweaks\n",
    "    bar_chart.update_layout(\n",
    "        xaxis_title='User Group',\n",
    "        yaxis_title='Average Created',\n",
    "        legend_title='Creation Timeframe'\n",
    "    )\n",
    "    bar_chart.update_xaxes(\n",
    "        ticktext=list(user_category_labels.values()),\n",
    "        tickvals=list(user_category_labels.keys())\n",
    "    )\n",
    "    for idx, name in enumerate(metric_labels):\n",
    "        bar_chart.data[idx].name = name\n",
    "    # Go!!!\n",
    "    \n",
    "    bar_chart.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Cumulative averages chart renderer\n",
    "def cumulative_averages_chart(metric_name, title):\n",
    "    user_categories_to_include = ['quick-exit', 'fair-trial', 'short-termer', 'active-user']\n",
    "    metrics_to_include = [f'{metric_name}_short_term', f'{metric_name}_medium_term', f'{metric_name}_long_term']\n",
    "    metric_labels = [metric_label(key) for key in metrics_to_include]\n",
    "    # Get our averages\n",
    "    grouped = df.groupby('category')[metrics_to_include].mean().reset_index()\n",
    "    # Make each column represent itself plus the total of its predecessors to represet a \"snapshot\" at that point.\n",
    "    for i in range(1, len(metrics_to_include)):\n",
    "        grouped[metrics_to_include[i]] += grouped[metrics_to_include[i - 1]]\n",
    "    # Pivot the data to a form Plotly will understand\n",
    "    melted = grouped.melt(id_vars='category', var_name='timeframe', value_name='value')\n",
    "    # Set up the basics of the chart\n",
    "    bar_chart = px.bar(\n",
    "        melted,\n",
    "        x='category',\n",
    "        y='value',\n",
    "        color='timeframe',\n",
    "        barmode='group',\n",
    "        title=title,\n",
    "        category_orders=category_order,\n",
    "        labels=metric_labels\n",
    "    )\n",
    "    # Make some UX tweaks\n",
    "    bar_chart.update_layout(\n",
    "        xaxis_title='User Group',\n",
    "        yaxis_title='Average Created',\n",
    "        legend_title='Creation Timeframe'\n",
    "    )\n",
    "    bar_chart.update_xaxes(\n",
    "        ticktext=list(user_category_labels.values()),\n",
    "        tickvals=list(user_category_labels.keys())\n",
    "    )\n",
    "    for idx, name in enumerate(metric_labels):\n",
    "        bar_chart.data[idx].name = name\n",
    "    # Go!!!\n",
    "    \n",
    "    bar_chart.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
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          "geo": {
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           "landcolor": "#E5ECF6",
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        },
        "title": {
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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "averages_chart('booking_forms', 'Average # of Booking Forms Created')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.plotly.v1+json": {
       "config": {
        "plotlyServerURL": "https://plot.ly"
       },
       "data": [
        {
         "alignmentgroup": "True",
         "hovertemplate": "timeframe=booking_forms_short_term<br>category=%{x}<br>value=%{y}<extra></extra>",
         "legendgroup": "booking_forms_short_term",
         "marker": {
          "color": "#636efa",
          "pattern": {
           "shape": ""
          }
         },
         "name": "Booking Forms: During free trial",
         "offsetgroup": "booking_forms_short_term",
         "orientation": "v",
         "showlegend": true,
         "textposition": "auto",
         "type": "bar",
         "x": [
          "active-user",
          "fair-trial",
          "quick-exit",
          "short-termer"
         ],
         "xaxis": "x",
         "y": {
          "bdata": "YLMrDy3ppz9H8jSO8ibRPykw6dQ8yM0/RWJbnvue0j8=",
          "dtype": "f8"
         },
         "yaxis": "y"
        },
        {
         "alignmentgroup": "True",
         "hovertemplate": "timeframe=booking_forms_medium_term<br>category=%{x}<br>value=%{y}<extra></extra>",
         "legendgroup": "booking_forms_medium_term",
         "marker": {
          "color": "#EF553B",
          "pattern": {
           "shape": ""
          }
         },
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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "cumulative_averages_chart('booking_forms', 'Cumulative average # of Booking Forms Created')"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.13.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}