fix: create example ‘auto’ correlation notebook

examples/features/correlation_auto_example.ipynb

@@ -0,0 +1,119 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Correlation \"Auto\""
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "The \"Auto\" correlation is an easily interpretable pairwise column metric of the following mapping:\n",
+    "\n",
+    "- Variable_type-Variable_type : Method, **Range** \n",
+    "- Categorical-Categorical     : Cramer's V, **[0,1]**\n",
+    "- Numerical-Categorical       : Cramer's V, **[0,1]** (using a discretized numerical column)\n",
+    "- Numerical-Numerical         : Spearman's Rho, **[-1,1]**"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "This example is based on the one found at: examples/bank_marketing_data/banking_data.py"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "%%capture\n",
+    "#Run the example as before\n",
+    "from pathlib import Path\n",
+    "\n",
+    "import pandas as pd\n",
+    "\n",
+    "from pandas_profiling import ProfileReport\n",
+    "from pandas_profiling.utils.cache import cache_zipped_file\n",
+    "\n",
+    "file_name = cache_zipped_file(\n",
+    "    \"bank-full.csv\",\n",
+    "    \"https://archive.ics.uci.edu/ml/machine-learning-databases/00222/bank.zip\",\n",
+    ")\n",
+    "\n",
+    "# Download the UCI Bank Marketing Dataset\n",
+    "df = pd.read_csv(file_name, sep=\";\")\n",
+    "\n",
+    "profile = ProfileReport(\n",
+    "    df, title=\"Profile Report of the UCI Bank Marketing Dataset\", explorative=True\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "The simplest way to change the number of bins is either through your script or notebook. This changes the granularity of the association measure for Numerical-Categorical column pairs."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# changing the number of bins from 10 (the default value) to 8\n",
+    "profile.config.correlations[\"auto\"].n_bins = 8"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "The 'auto' correlation matrix is displayed with the other correlation matrices in the report."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "%%capture cap --no-stdout\n",
+    "profile.to_file(Path(\"uci_bank_marketing_report.html\"))"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3.10.6 ('pp_test')",
+   "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": "3.10.6"
+  },
+  "orig_nbformat": 4,
+  "vscode": {
+   "interpreter": {
+    "hash": "1af52722583f346ec227bb297de332430c519562ffdabd22d0ef7652ab6213c7"
+   }
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}