{
 "cells": [
  {"cell_type":"markdown","metadata":{},"source":["# Customer Churn Starter\n","A small notebook scaffold for exploring churn drivers."]},
  {"cell_type":"code","execution_count":null,"metadata":{},"outputs":[],"source":["import pandas as pd\n","df = pd.read_csv('customer-churn-sample.csv')\n","df.head()"]},
  {"cell_type":"code","execution_count":null,"metadata":{},"outputs":[],"source":["df.groupby('plan')['churned'].mean().sort_values(ascending=False)"]}
 ],
 "metadata": {"kernelspec":{"display_name":"Python 3","language":"python","name":"python3"},"language_info":{"name":"python","version":"3"}},
 "nbformat": 4,
 "nbformat_minor": 5
}