November 2018
Intermediate to advanced
384 pages
12h 21m
English
book
Programming Skills for Data Science: Start Writing Code to Wrangle, Analyze, and Visualize Data with R, First Edition
by Joel Ross, Michael Freeman
Content preview from Programming Skills for Data Science: Start Writing Code to Wrangle, Analyze, and Visualize Data with R, First Edition12Reshaping Data with
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12Reshaping Data with tidyr
One of the most common data wrangling challenges is adjusting how exactly row and columns are used to represent your data. Structuring (or restructuring) data frames to have the desired shape can be the most difficult part of creating a visualization, running a statistical model, or implementing a machine learning algorithm.
This chapter describes how you can use the tidyr (“tidy-er”) package to effectively transform your data into an appropriate shape for analysis and visualization.
12.1 What Is “Tidy” Data?
When wrangling data into a data frame for your analysis, you need to decide on the desired structure of that data frame. You need to determine what each row and column will represent, so that you can consistently ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
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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.