sfmc_contact_stats.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "push_df = pd.read_csv('sfmc_csv/_mobilepush.csv')\n",
    "mobile_df = pd.read_csv('sfmc_csv/_mobileaddress.csv')\n",
    "subscribers_df = pd.read_csv('sfmc_csv/_subscribers.csv')\n",
    "\n",
    "# Merge the dataframes using contact ID, with a fallback to subscriber key\n",
    "merged_df = pd.merge(subscribers_df, push_df, on='contactid', how='outer') \\\n",
    "             .merge(mobile_df, on='contactid', how='outer', suffixes=('_push', '_mobile')) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from matplotlib_venn import venn3\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# Convert the column of interest to sets\n",
    "set1 = set(push_df['contactid'])\n",
    "set2 = set(mobile_df['contactid'])\n",
    "set3 = set(subscribers_df['contactid'])\n",
    "\n",
    "# Plotting Venn diagram\n",
    "venn3([set1, set2, set3],('Push', 'Mobile', 'Subscribers'))\n",
    "\n",
    "# Display the plot\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "merged_df = pd.merge(subscribers_df, push_df, on='contactid', how='outer') \\\n",
    "             .merge(mobile_df, on='contactid', how='outer', suffixes=('_push', '_mobile'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "opt_in_count = len(subscribers_df[(subscribers_df['optin'] == 'true') & (subscribers_df['email'].notna())])\n",
    "\n",
    "# Sample data\n",
    "data = {\n",
    "    'Contact Type': ['Reachable Email Contact', 'Overall Contact'],\n",
    "    'Number': [opt_in_count, len(merged_df)]\n",
    "}\n",
    "\n",
    "# Creating DataFrame\n",
    "df = pd.DataFrame(data)\n",
    "\n",
    "# Plotting the bar chart\n",
    "plt.figure(figsize=(8, 6))\n",
    "plt.bar(df['Contact Type'], df['Number'], color=['blue', 'green'])\n",
    "\n",
    "# Adding titles and labels\n",
    "plt.title('Mail Contact Number vs Overall Contact Number')\n",
    "plt.xlabel('Contact Type')\n",
    "plt.ylabel('Number of Contacts')\n",
    "\n",
    "# Displaying the plot\n",
    "plt.show()\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "opt_in_smscount = len(mobile_df[(mobile_df['optin'] == 'true') & (mobile_df['phonenumber'].notna())])\n",
    "\n",
    "# Sample data\n",
    "data = {\n",
    "    'Contact Type': ['Reachable SMS Contact', 'Overall Contact'],\n",
    "    'Number': [opt_in_smscount, len(merged_df)]\n",
    "}\n",
    "\n",
    "# Creating DataFrame\n",
    "df = pd.DataFrame(data)\n",
    "\n",
    "# Plotting the bar chart\n",
    "plt.figure(figsize=(8, 6))\n",
    "plt.bar(df['Contact Type'], df['Number'], color=['blue', 'green'])\n",
    "\n",
    "# Adding titles and labels\n",
    "plt.title('Mail Contact Number vs Overall Contact Number')\n",
    "plt.xlabel('Contact Type')\n",
    "plt.ylabel('Number of Contacts')\n",
    "\n",
    "# Displaying the plot\n",
    "plt.show()\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "opt_in_pushcount = len(push_df[(push_df['optin'] == 'true')])\n",
    "\n",
    "# Sample data\n",
    "data = {\n",
    "    'Contact Type': ['Reachable Push Contact', 'Overall Contact'],\n",
    "    'Number': [opt_in_pushcount, len(merged_df)]\n",
    "}\n",
    "\n",
    "# Creating DataFrame\n",
    "df = pd.DataFrame(data)\n",
    "\n",
    "# Plotting the bar chart\n",
    "plt.figure(figsize=(8, 6))\n",
    "plt.bar(df['Contact Type'], df['Number'], color=['blue', 'green'])\n",
    "\n",
    "# Adding titles and labels\n",
    "plt.title('Mail Contact Number vs Overall Contact Number')\n",
    "plt.xlabel('Contact Type')\n",
    "plt.ylabel('Number of Contacts')\n",
    "\n",
    "# Displaying the plot\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "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": "3.9.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}