Add module 3 notebook

module3-make-explanatory-visualizations/LS_DS_123_Make_explanatory_visualizations.ipynb

@@ -0,0 +1,58 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "_Lambda School Data Science_\n",
+    "\n",
+    "# Choose appropriate visualizations\n",
+    "\n",
+    "\n",
+    "Recreate this [example by FiveThirtyEight:](https://fivethirtyeight.com/features/al-gores-new-movie-exposes-the-big-flaw-in-online-movie-ratings/)\n",
+    "\n",
+    "![](https://fivethirtyeight.com/wp-content/uploads/2017/09/mehtahickey-inconvenient-0830-1.png?w=575)\n",
+    "\n",
+    "Using this data:\n",
+    "\n",
+    "https://github.com/fivethirtyeight/data/tree/master/inconvenient-sequel\n",
+    "\n",
+    "### Stretch goals\n",
+    "\n",
+    "Recreate more examples from [FiveThityEight's shared data repository](https://data.fivethirtyeight.com/).\n",
+    "\n",
+    "For example:\n",
+    "- [thanksgiving-2015](https://fivethirtyeight.com/features/heres-what-your-part-of-america-eats-on-thanksgiving/) ([`altair`](https://altair-viz.github.io/gallery/index.html#maps))\n",
+    "- [candy-power-ranking](https://fivethirtyeight.com/features/the-ultimate-halloween-candy-power-ranking/) ([`statsmodels`](https://www.statsmodels.org/stable/index.html))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "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": "3.6.5"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}