docs(eda): added docs for create_diff_report

docs/source/user_guide/eda/create_diff_report.ipynb

@@ -0,0 +1,107 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "suitable-monster",
+   "metadata": {},
+   "source": [
+    "# create_diff_report(): generate statistical report for multiple dataframes"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "corresponding-slide",
+   "metadata": {},
+   "source": [
+    "## Overview"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "empirical-browser",
+   "metadata": {},
+   "source": [
+    "The function create_diff_report() allows users to generate a statistical report similar to the create_report() function.\n",
+    "\n",
+    "The function accepts either a list of Pandas dataframes, or a dictionary of Pandas dataframes with string keys as labels. Let's take a look."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "detailed-patch",
+   "metadata": {},
+   "source": [
+    "## Loading the dataset"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "gentle-indian",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from dataprep.datasets import load_dataset\n",
+    "df_train, df_test = load_dataset('house_prices_train'), load_dataset('house_prices_test')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "proprietary-sensitivity",
+   "metadata": {},
+   "source": [
+    "## Generate the report"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "hindu-jaguar",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from dataprep.eda import create_diff_report\n",
+    "report = create_diff_report([df_train, df_test])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "tough-server",
+   "metadata": {},
+   "source": [
+    "Or sometimes we want to give specific labels to our dataframes"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "absent-version",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "report = create_diff_report({\"df_train\": df_train, \"df_test\": df_test})"
+   ]
+  }
+ ],
+ "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": "3.8.8"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}