Exploratory Data Analysis

Chapter 1 Exploratory Data Analysis

The thesis of this book is we can use data to answer questions, resolve debates, and make better decisions.

This chapter introduces the steps we’ll use to do that: loading and validating data, exploring, and choosing statistics that measure what we are interested in. As an example, we’ll use data from the National Survey of Family Growth (NSFG) to answer a question I heard when my wife and I were expecting our first child: do first babies tend to arrive late?

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Listing 1.0.1. Python Code

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from os.path import basename, exists


def download(url):
    filename = basename(url)
    if not exists(filename):
        from urllib.request import urlretrieve

        local, _ = urlretrieve(url, filename)
        print("Downloaded " + local)


download("https://github.com/AllenDowney/ThinkStats/raw/v3/nb/thinkstats.py")

Listing 1.0.2. Python Code

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try:
    import empiricaldist
except ImportError:
    %pip install empiricaldist

Listing 1.0.3. Python Code

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import numpy as np
import pandas as pd
import matplotlib.pyplot as plt

from IPython.display import HTML
from thinkstats import decorate

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