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tidyrでデータを整形する
中級スキルレベル
更新日 2023/03
RData Manipulation4時間15 ビデオ54 演習4,650 XP24,545修了証明書
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前提条件
Data Manipulation with dplyr1
Tidy Data
You'll be introduced to the concept of tidy data which is central to this course. In the first two lessons, you'll jump straight into the action by separating messy character columns into tidy variables and observations ready for analysis. In the final lesson, you'll learn how to overwrite and remove missing values.
2
From Wide to Long and Back
This chapter is all about pivoting data from a wide to long format and back again using the pivot_longer() and pivot_wider() functions. You'll need these functions when variables are hidden in messy column names or when variables are stored in rows instead of columns. You'll learn about space dogs, nuclear bombs, and planet temperatures along the way.
3
Expanding Data
Values can often be missing in your data, and sometimes entire observations are absent too. In this chapter, you'll learn how to complete your dataset with these missing observations. You'll add observations with zero values to counted data, expand time series to a full sequence of intervals, and more!
4
Rectangling Data
In the final chapter, you'll learn how to turn nested data structures such as JSON and XML files into tidy, rectangular data. This skill will enable you to process data from web APIs. You'll also learn how nested data structures can be used to write elegant modeling pipelines that produce tidy outputs.
tidyrでデータを整形する
コース完了 19百万人を超える学習者と共にtidyrでデータを整形するを始めましょう！
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