March 2014
Beginner to intermediate
416 pages
13h 36m
English
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Chapter 3. Exploring data
This chapter covers
- Using summary statistics to explore data
- Exploring data using visualization
- Finding problems and issues during data exploration
In the last two chapters, you learned how to set the scope and goal of a data science project, and how to load your data into R. In this chapter, we’ll start to get our hands into the data.
Suppose your goal is to build a model to predict which of your customers don’t have health insurance; perhaps you want to market inexpensive health insurance packages to them. You’ve collected a dataset of customers whose health insurance status you know. You’ve also identified some customer properties that you believe help predict the probability of insurance coverage: age, employment ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.