{"description":"geom_boxplot( )\u3092\u4f7f\u3063\u3066\u7bb1\u30d2\u30b2\u56f3\u3092\u63cf\u304f \u7bb1\u306e\u5f62\u72b6\u306b\u95a2\u3059\u308b\u6307\u5b9a \u7bb1\u306e\u8272\u30fb\u7dda\u7a2e\u306b\u95a2\u3059\u308b\u6307\u5b9a \u5916\u308c\u5024\u306b\u95a2\u3059\u308b\u6307\u5b9a geom_violin( )\u3067\u30d0\u30a4\u30aa\u30ea\u30f3\u30d7\u30ed\u30c3\u30c8\u3092\u63cf\u304f stat_*( )\u3068\u306e\u5bfe\u5fdc \u304a\u308f\u308a\u306b \u53c2\u8003\u8cc7\u6599 ggplot2\u30d1\u30c3\u30b1\u30fc\u30b8\uff08tidyverse\u30d1\u30c3\u30b1\u30fc\u30b8\u306b\u542b\u307e\u308c\u3066\u3044\u308b\uff09\u306ediamonds\u30c7\u30fc\u30bf\u3092\u4f7f\u3046\u3002 > library(tidyverse) > head(diamonds) # A tibble: 6 x 10 carat cut color clarity depth table price x y z <dbl> <ord> <ord> <ord> <dbl> \u2026","html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Fnecostat.hatenablog.jp%2Fentry%2F2021%2F10%2F23%2F081901\" title=\"1\u3064\u306e\u9023\u7d9a\u5909\u6570\u30681\u3064\u306e\u30ab\u30c6\u30b4\u30ea\u30fc\u5909\u6570\u3092\u30b0\u30e9\u30d5\u306b\u3059\u308b\uff08ggplot2\u30d1\u30c3\u30b1\u30fc\u30b8\uff09[R] - \u306d\u3053\u3059\u305f\u3063\u3068\" class=\"embed-card embed-blogcard\" scrolling=\"no\" frameborder=\"0\" style=\"display: block; width: 100%; height: 190px; max-width: 500px; margin: 10px 0px;\"></iframe>","blog_url":"https://necostat.hatenablog.jp/","height":"190","type":"rich","author_url":"https://blog.hatena.ne.jp/quossy/","width":"100%","author_name":"quossy","url":"https://necostat.hatenablog.jp/entry/2021/10/23/081901","blog_title":"\u306d\u3053\u3059\u305f\u3063\u3068","title":"1\u3064\u306e\u9023\u7d9a\u5909\u6570\u30681\u3064\u306e\u30ab\u30c6\u30b4\u30ea\u30fc\u5909\u6570\u3092\u30b0\u30e9\u30d5\u306b\u3059\u308b\uff08ggplot2\u30d1\u30c3\u30b1\u30fc\u30b8\uff09[R]","provider_url":"https://hatena.blog","image_url":"https://cdn-ak.f.st-hatena.com/images/fotolife/q/quossy/20211012/20211012085046.jpg","published":"2021-10-23 08:19:01","provider_name":"Hatena Blog","version":"1.0","categories":["ggplot","figure/table","R","neco"]}