{ "cells": [ { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "import os \n", "import pandas as pd \n", "import matplotlib.pyplot as plt\n", "import seaborn as sns" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", " | gender | \n", "race_ethnicity | \n", "parental_level_of_education | \n", "lunch | \n", "test_preparation_course | \n", "math_score | \n", "reading_score | \n", "writing_score | \n", "
---|---|---|---|---|---|---|---|---|
0 | \n", "female | \n", "group B | \n", "bachelor's degree | \n", "standard | \n", "none | \n", "72 | \n", "72 | \n", "74 | \n", "
1 | \n", "female | \n", "group C | \n", "some college | \n", "standard | \n", "completed | \n", "69 | \n", "90 | \n", "88 | \n", "
2 | \n", "female | \n", "group B | \n", "master's degree | \n", "standard | \n", "none | \n", "90 | \n", "95 | \n", "93 | \n", "
3 | \n", "male | \n", "group A | \n", "associate's degree | \n", "free/reduced | \n", "none | \n", "47 | \n", "57 | \n", "44 | \n", "
4 | \n", "male | \n", "group C | \n", "some college | \n", "standard | \n", "none | \n", "76 | \n", "78 | \n", "75 | \n", "