コース
dplyr で行うデータ操作
基礎スキルレベル
更新日 2025/12RData Manipulation4時間13 ビデオ44 演習3,700 XP160K+達成証明書
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前提条件
Introduction to the Tidyverse1
Transforming Data with dplyr
Learn verbs you can use to transform your data, including select, filter, arrange, and mutate. You'll use these functions to modify the counties dataset to view particular observations and answer questions about the data.
2
Aggregating Data
Now that you know how to transform your data, you'll want to know more about how to aggregate your data to make it more interpretable. You'll learn a number of functions you can use to take many observations in your data and summarize them, including count, group_by, summarize, ungroup, and slice_min/slice_max.
3
Selecting and Transforming Data
Learn advanced methods to select and transform columns. Also, learn about select helpers, which are functions that specify criteria for columns you want to choose, as well as the rename verb.
4
Case Study: The babynames Dataset
Work with a new dataset that represents the names of babies born in the United States each year. Learn how to use grouped mutates and window functions to ask and answer more complex questions about your data. And use a combination of dplyr and ggplot2 to make interesting graphs to further explore your data.
dplyr で行うデータ操作
コース完了 19百万人を超える学習者と一緒にdplyr で行うデータ操作を今日から始めましょう!
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