{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# USA Births Data\n",
"\n",
"*By Jake VanderPlas. See http://github.com/jakevdp/data-CDCbirths/*\n",
"\n",
"This dataset records birth rates in the USA by year. It was compiled from data on the [CDC website](http://www.cdc.gov/nchs/data_access/Vitalstatsonline.htm) and is aggregated so as to comply with their terms of use.\n",
"\n",
"*(This was inspired by Andrew Gelman's recent [NYC R Meetup](https://www.youtube.com/watch?v=ObS1hkOxyPA&feature=youtu.be) talk. Some of his writeup on the topic can be seen [on his blog](http://andrewgelman.com/2012/06/12/simple-graph-win-the-example-of-birthday-frequencies/))*"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"%matplotlib inline\n",
"import matplotlib as mpl\n",
"import matplotlib.pyplot as plt\n",
"import seaborn; seaborn.set()\n",
"\n",
"import pandas as pd\n",
"import numpy as np"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/html": [
"\n",
"
\n",
" \n",
" \n",
" | \n",
" year | \n",
" month | \n",
" day | \n",
" gender | \n",
" births | \n",
"
\n",
" \n",
" \n",
" \n",
" | 0 | \n",
" 1969 | \n",
" 1 | \n",
" 1 | \n",
" F | \n",
" 4046 | \n",
"
\n",
" \n",
" | 1 | \n",
" 1969 | \n",
" 1 | \n",
" 1 | \n",
" M | \n",
" 4440 | \n",
"
\n",
" \n",
" | 2 | \n",
" 1969 | \n",
" 1 | \n",
" 2 | \n",
" F | \n",
" 4454 | \n",
"
\n",
" \n",
" | 3 | \n",
" 1969 | \n",
" 1 | \n",
" 2 | \n",
" M | \n",
" 4548 | \n",
"
\n",
" \n",
" | 4 | \n",
" 1969 | \n",
" 1 | \n",
" 3 | \n",
" F | \n",
" 4548 | \n",
"
\n",
" \n",
"
\n",
"