{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Canonical Correlation Analysis"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"import numpy as np\n",
"import matplotlib.pyplot as plt\n",
"from sklearn.cross_decomposition import CCA\n",
"import pandas as pd\n",
"import seaborn as sns\n",
"\n",
"# Just some color options for seaborn plots\n",
"sns.set(style=\"darkgrid\")\n",
"sns.set_palette(\"Dark2\")"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"scrolled": true
},
"outputs": [
{
"data": {
"text/html": [
"\n",
"\n",
"
\n",
" \n",
" \n",
" | \n",
" locus_of_control | \n",
" self_concept | \n",
" motivation | \n",
" read | \n",
" write | \n",
" math | \n",
" science | \n",
" female | \n",
"
\n",
" \n",
" \n",
" \n",
" | 0 | \n",
" -0.84 | \n",
" -0.24 | \n",
" 1.00 | \n",
" 54.8 | \n",
" 64.5 | \n",
" 44.5 | \n",
" 52.6 | \n",
" 1 | \n",
"
\n",
" \n",
" | 1 | \n",
" -0.38 | \n",
" -0.47 | \n",
" 0.67 | \n",
" 62.7 | \n",
" 43.7 | \n",
" 44.7 | \n",
" 52.6 | \n",
" 1 | \n",
"
\n",
" \n",
" | 2 | \n",
" 0.89 | \n",
" 0.59 | \n",
" 0.67 | \n",
" 60.6 | \n",
" 56.7 | \n",
" 70.5 | \n",
" 58.0 | \n",
" 0 | \n",
"
\n",
" \n",
" | 3 | \n",
" 0.71 | \n",
" 0.28 | \n",
" 0.67 | \n",
" 62.7 | \n",
" 56.7 | \n",
" 54.7 | \n",
" 58.0 | \n",
" 0 | \n",
"
\n",
" \n",
" | 4 | \n",
" -0.64 | \n",
" 0.03 | \n",
" 1.00 | \n",
" 41.6 | \n",
" 46.3 | \n",
" 38.4 | \n",
" 36.3 | \n",
" 1 | \n",
"
\n",
" \n",
"
\n",
"