{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# 01 Constructing a scatter plot"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n"
],
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"%%html\n",
""
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"import numpy as np\n",
"import pandas as pd\n",
"from pandas import Series, DataFrame\n",
"import matplotlib.pyplot as plt\n",
"import seaborn as sns\n",
"from scipy import stats"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"[khanacademy](https://www.khanacademy.org/math/ap-statistics/bivariate-data-ap/scatterplots-correlation/v/constructing-scatter-plot?modal=1)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
""
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"data = {\n",
" 'Class': ['English', 'Math', 'History', 'CS', 'Arts', 'Biology', 'Physics', 'Chemistry', 'Spanish'],\n",
" 'Period': [1,6,2,4,4,1,3,1,3],\n",
" 'Score': [93,87,70,62,86,73,73,80,96]\n",
" }"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [],
"source": [
"df = DataFrame(data).set_index('Class')"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n",
"\n",
"
\n",
" \n",
" \n",
" | \n",
" Period | \n",
" Score | \n",
"
\n",
" \n",
" | Class | \n",
" | \n",
" | \n",
"
\n",
" \n",
" \n",
" \n",
" | English | \n",
" 1 | \n",
" 93 | \n",
"
\n",
" \n",
" | Math | \n",
" 6 | \n",
" 87 | \n",
"
\n",
" \n",
" | History | \n",
" 2 | \n",
" 70 | \n",
"
\n",
" \n",
" | CS | \n",
" 4 | \n",
" 62 | \n",
"
\n",
" \n",
" | Arts | \n",
" 4 | \n",
" 86 | \n",
"
\n",
" \n",
" | Biology | \n",
" 1 | \n",
" 73 | \n",
"
\n",
" \n",
" | Physics | \n",
" 3 | \n",
" 73 | \n",
"
\n",
" \n",
" | Chemistry | \n",
" 1 | \n",
" 80 | \n",
"
\n",
" \n",
" | Spanish | \n",
" 3 | \n",
" 96 | \n",
"
\n",
" \n",
"
\n",
"