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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12.4
ファクタ順序の変更
199
表示されたのはこのデータセットに値がない水準です。残念ながら、
dplyr
にはこの
drop
オプショ
ンがまだありませんが将来はできる予定です。
ファクタ処理で最もよく使う演算は水準の順序変更と水準の値変更の2 つです。これらは次節以降
で述べます。
1.
rincome
（申告所得）の分布を調べなさい。なぜデフォルトの棒グラフが理解しがたいのだろう
か。図を改善するにはどうするか。
2. 総合的社会調査で最も多い
relig
は何か。最も多い
partyid
は何か。
3. どの
relig
に
denom
（宗派）が適用されるか。表からどのように探し出すか。可視化してどう探
すか。
12.4
ファクタ順序の変更
可視化においてはファクタ水準の順序を入れ替えると役立つことが多いものです。例えば、宗教
ごとの平均TV 視聴時間を調べたいとします。
relig <- gss_cat %>%
group_by(relig) %>%
summarize(
age = mean(age, na.rm = TRUE),
tvhours = mean(tvhours, na.rm = TRUE),
n = n()
)
ggplot(relig, aes(tvho
urs, relig)) + geom_point()
200
12
章
forcats
でファクタ
全体のパターンがはっきりしないので、このグラフの解釈は困難です。
fct_reorder()
を使って
relig
の水準の順序を入れ替えるとわかりや
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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.
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.