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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24
1
章
ggplot2
によるデータ可視化
1.8
位置調整
棒グラフにはもう1つ魔法のような機能があります。エステティック属性
color
または
fill
を使っ
て色を付けることができます。
fill
の方が広い用途で使えます。
ggplot(data = diamonds) +
geom_bar(mapping = aes(x = cut, color = cut))
ggplot(data = diamonds) +
geom_bar(mapping = aes(x = cut, fill = cut))
エステティック属性
fill
を
clarity
のような他の変数にマップしたらどうなるかに注意すること。
棒が自動的に積み重ねられます。色付きの四角形が
cut
と
clarity
の組み合わせを示します。
ggplot(data = diamonds) +
geom_bar(mapping = aes(x = cut, fill = clarity))
デフォルトの
position
引数
"stack"
によって指定される位置調整で自動的にこの積み上げが行わ
れます。積み上げ棒グラフにしたくないのなら、
"identity"
,
"dodge"
,
"fill"
という他の3オプショ
ンのいずれかを選びます。
●
position = "identity"
と指定すると各オブジェクトがグラフのコンテキストの中でしかるべき
位置に置かれる。これだと重なりができるので、棒グラフにはあまり役立たない。重なりをはっ
1.8
位置調整
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
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.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
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.