October 2017
Intermediate to advanced
480 pages
9h 49m
Japanese
Content preview from Rではじめるデータサイエンス
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394
22
章
ggplot2
でコミュニケーションのためのグラフ作成
22.2
ラベル
一番簡単に探索的な図を説明的な図にする方法は、まず良いラベルを付けることです。
labs()
関
数でラベルを追加します。次の例では、プロットに表題を付けます。
ggplot(mpg, aes(displ, hwy)) +
geom_point(aes(color = class)) +
geom_smooth(se = FALSE) +
labs(
title = paste(
"Fuel efficiency generally decreases with"
燃費は一般にエンジンサイズが大きくなると悪くなる
"engine size"
)
プ ロ ッ ト 表 題 の 目 的 は、 要 点 を 集 約 す る こ と で す。 例 え ば、「A scatterplot of engine
displacement vs. fuel economy」（エンジン排気量と燃費の散布図）のように、プロットそのものの説
明だけの表題にしないことです。
さらにテキストを追加するには、ggplot2 2.2.0以降だと、2 つのラベルが役立ちます。
●
subtitle
は、表題の下に小さなフォントで追加の詳細を述べる。
●
caption
は、プロットの右下にテキストを追加する。データソースの表示によく使われる。
ggplot(mpg, aes(displ, hwy)) +
geom_point(aes(color = class)) ...
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I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
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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.