コース
ggplot2 中級データ可視化
中級スキルレベル
更新日 2024/02
RData Visualization4時間14 ビデオ52 演習4,350 XP56,488修了証明書
無料アカウントを作成
Googleで続行その他のオプションを表示または
何千もの企業の従業員が支持
チームのトレーニングを担当していますか？
Businessをお試しくださいコース説明
前提条件
Introduction to Data Visualization with ggplot21
Statistics
A picture paints a thousand words, which is why R ggplot2 is such a powerful tool for graphical data analysis. In this chapter, you’ll progress from simply plotting data to applying a variety of statistical methods. These include a variety of linear models, descriptive and inferential statistics (mean, standard deviation and confidence intervals) and custom functions.
2
Coordinates
The Coordinates layers offer specific and very useful tools for efficiently and accurately communicating data. Here we’ll look at the various ways of effectively using these layers, so you can clearly visualize lognormal datasets, variables with units, and periodic data.
3
Facets
Facets let you split plots into multiple panes, each displaying subsets of the dataset. Here you'll learn how to wrap facets and arrange them in a grid, as well as providing custom labeling.
4
Best Practices
Now that you have the technical skills to make great visualizations, it’s important that you make them as meaningful as possible. In this chapter, you’ll review three plot types that are commonly discouraged in the data viz community: heat maps, pie charts, and dynamite plots. You’ll learn the pitfalls with these plots and how to avoid making these mistakes yourself.
ggplot2 中級データ可視化
コース完了 19百万人を超える学習者と共にggplot2 中級データ可視化を始めましょう！
無料アカウントを作成
Googleで続行その他のオプションを表示または
DataCamp for Mobileでデータスキルを磨きましょう
モバイル コースと毎日の 5 分間のコーディング チャレンジで、外出先でも進歩できます。