{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "This notebook is part of my [Python data science curriculum](http://www.terran.us/articles/python_curriculum.html)" ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "RendererRegistry.enable('notebook')" ] }, "execution_count": 1, "metadata": {}, "output_type": "execute_result" } ], "source": [ "import pandas as pd\n", "import numpy as np\n", "import altair as alt\n", "alt.renderers.enable('notebook')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Data" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "from sklearn.datasets import load_boston\n", "skBoston = load_boston()" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
| \n", " | CRIM | \n", "ZN | \n", "INDUS | \n", "CHAS | \n", "NOX | \n", "RM | \n", "AGE | \n", "DIS | \n", "RAD | \n", "TAX | \n", "PTRATIO | \n", "B | \n", "LSTAT | \n", "MEDV | \n", "
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | \n", "0.00632 | \n", "18.0 | \n", "2.31 | \n", "0.0 | \n", "0.538 | \n", "6.575 | \n", "65.2 | \n", "4.0900 | \n", "1.0 | \n", "296.0 | \n", "15.3 | \n", "396.90 | \n", "4.98 | \n", "24.0 | \n", "
| 1 | \n", "0.02731 | \n", "0.0 | \n", "7.07 | \n", "0.0 | \n", "0.469 | \n", "6.421 | \n", "78.9 | \n", "4.9671 | \n", "2.0 | \n", "242.0 | \n", "17.8 | \n", "396.90 | \n", "9.14 | \n", "21.6 | \n", "
| 2 | \n", "0.02729 | \n", "0.0 | \n", "7.07 | \n", "0.0 | \n", "0.469 | \n", "7.185 | \n", "61.1 | \n", "4.9671 | \n", "2.0 | \n", "242.0 | \n", "17.8 | \n", "392.83 | \n", "4.03 | \n", "34.7 | \n", "
| 3 | \n", "0.03237 | \n", "0.0 | \n", "2.18 | \n", "0.0 | \n", "0.458 | \n", "6.998 | \n", "45.8 | \n", "6.0622 | \n", "3.0 | \n", "222.0 | \n", "18.7 | \n", "394.63 | \n", "2.94 | \n", "33.4 | \n", "
| 4 | \n", "0.06905 | \n", "0.0 | \n", "2.18 | \n", "0.0 | \n", "0.458 | \n", "7.147 | \n", "54.2 | \n", "6.0622 | \n", "3.0 | \n", "222.0 | \n", "18.7 | \n", "396.90 | \n", "5.33 | \n", "36.2 | \n", "