{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"___\n",
"\n",
" 
\n",
"___\n",
"# Pandas Data Visualization Exercise\n",
"This is just a quick exercise for you to review the various plots we showed earlier. Use **df3** to replicate the following plots. "
]
},
{
"cell_type": "code",
"execution_count": 45,
"metadata": {},
"outputs": [],
"source": [
"import numpy as np\n",
"import pandas as pd\n",
"import matplotlib.pyplot as plt\n",
"import seaborn as sns\n",
"df3 = pd.read_csv('df3')\n",
"%matplotlib inline"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
"RangeIndex: 500 entries, 0 to 499\n",
"Data columns (total 4 columns):\n",
"a 500 non-null float64\n",
"b 500 non-null float64\n",
"c 500 non-null float64\n",
"d 500 non-null float64\n",
"dtypes: float64(4)\n",
"memory usage: 15.7 KB\n"
]
}
],
"source": [
"df3.info()"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
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