# R for Data Science : Answers

## R for Data Science : Answers

- [0章 はじめに](https://sugiaki1989.gitbook.io/r-for-data-science-answers/master.md)
- [1章 ggplot2によるデータ可視化](https://sugiaki1989.gitbook.io/r-for-data-science-answers/chapter01-ggplot2.md)
- [2章 ワークフロー：基本](https://sugiaki1989.gitbook.io/r-for-data-science-answers/chapter02-basis.md)
- [3章 dplyrによるデータ変換](https://sugiaki1989.gitbook.io/r-for-data-science-answers/chapter03-dplyr.md)
- [4章 ワークフロー：スクリプト](https://sugiaki1989.gitbook.io/r-for-data-science-answers/chapter04-script.md)
- [5章 探索的データ分析](https://sugiaki1989.gitbook.io/r-for-data-science-answers/chapter05-eda.md)
- [6章 ワークフロー：プロジェクト](https://sugiaki1989.gitbook.io/r-for-data-science-answers/chapter06-project.md)
- [7章 tibbleのtibble](https://sugiaki1989.gitbook.io/r-for-data-science-answers/chapter07-tibble.md)
- [8章 readrによるデータインポート](https://sugiaki1989.gitbook.io/r-for-data-science-answers/chapter08-readr.md)
- [9章 tidyrによるデータの整理](https://sugiaki1989.gitbook.io/r-for-data-science-answers/chapter09-tidyr.md)
- [10章 dplyrによる関係データ](https://sugiaki1989.gitbook.io/r-for-data-science-answers/chapter10-join.md)
- [11章 stringrによる文字列](https://sugiaki1989.gitbook.io/r-for-data-science-answers/chapter11-stringr.md)
- [12章 forcatsでファクタ](https://sugiaki1989.gitbook.io/r-for-data-science-answers/chapter12-forcats.md)
- [13章 lubridateによる日付と時刻](https://sugiaki1989.gitbook.io/r-for-data-science-answers/chapter13-lubridate.md)
- [14章 magrittrでパイプ](https://sugiaki1989.gitbook.io/r-for-data-science-answers/chapter14-magrittr.md)
- [15章 関数](https://sugiaki1989.gitbook.io/r-for-data-science-answers/chapter15-function.md)
- [16章 ベクトル](https://sugiaki1989.gitbook.io/r-for-data-science-answers/chapter16-vector.md)
- [17章 purrrでイテレーション](https://sugiaki1989.gitbook.io/r-for-data-science-answers/chapter17-purrr.md): 20191110:{purrr}の\`map()\`についての表記を無名関数を用いた表記に変更しました。
- [18章 modelrを使ったモデルの基本](https://sugiaki1989.gitbook.io/r-for-data-science-answers/chapter18-modelr-1.md)
- [19章 モデル構築](https://sugiaki1989.gitbook.io/r-for-data-science-answers/chapter19-modeling-1.md)
- [20章 purrrとbroomによる多数のモデル](https://sugiaki1989.gitbook.io/r-for-data-science-answers/chapter20-broom.md)
- [21章 マークダウン](https://sugiaki1989.gitbook.io/r-for-data-science-answers/chapter21-markdown.md)
- [22章 ggplot2でコミュニケーションのためのグラフ作成](https://sugiaki1989.gitbook.io/r-for-data-science-answers/chapter22-report.md)
- [23章 Rマークダウンフォーマット](https://sugiaki1989.gitbook.io/r-for-data-science-answers/chapter23-format.md)
- [24章 Rマークダウンフロー](https://sugiaki1989.gitbook.io/r-for-data-science-answers/chapter24-flow.md)


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