July 2019
Beginner to intermediate
740 pages
16h 52m
English
Content preview from Hands-On Data Analysis with Pandas
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Summary
Congratulations on making it through this chapter! Data wrangling isn't the most exciting part of the analytics workflow, but we will spend a lot of time on it, so it's best to be well-versed in what pandas has to offer. In this chapter, we learned more about what data wrangling is (aside from a data science buzzword) and got some firsthand experience with data cleaning and reshaping our data. Utilizing the requests library, we once again practiced working with APIs to extract data of interest; then, we used pandas to begin our data wrangling, which we will continue in the next chapter. Finally, we learned how to deal with duplicate, missing, and invalid data points in various ways and discussed the ramifications of those decisions. ...
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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.