{"categories":["Data_Analysis"],"url":"https://www.crosshyou.info/entry/2021/08/29/143600","blog_url":"https://www.crosshyou.info/","width":"100%","title":"OECD Gender wage gap data analysis 2 - Data Visualization using R ggplot() + geom_histogram(), geom_points(), geom_line()","provider_url":"https://hatena.blog","version":"1.0","height":"190","provider_name":"Hatena Blog","type":"rich","author_url":"https://blog.hatena.ne.jp/cross_hyou/","image_url":"https://cdn-ak.f.st-hatena.com/images/fotolife/c/cross_hyou/20210829/20210829140157.jpg","author_name":"cross_hyou","html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Fwww.crosshyou.info%2Fentry%2F2021%2F08%2F29%2F143600\" title=\"OECD Gender wage gap data analysis 2 - Data Visualization using R ggplot() + geom_histogram(), geom_points(), geom_line() - R\u3067\u4f55\u304b\u3092\u3057\u305f\u308a\u3001\u8aad\u66f8\u3092\u3059\u308b\u30d6\u30ed\u30b0\" class=\"embed-card embed-blogcard\" scrolling=\"no\" frameborder=\"0\" style=\"display: block; width: 100%; height: 190px; max-width: 500px; margin: 10px 0px;\"></iframe>","description":"Photo by Luca Bravo on Unsplash www.crosshyou.info This post is following of above post. I will makse some graphs for data visualization using R. Fist, let's see how our data are distributed. I use ggplot() + geom_histogram() First, emp(employed gendar gap) We see double top distribution for emp. Ho\u2026","blog_title":"R\u3067\u4f55\u304b\u3092\u3057\u305f\u308a\u3001\u8aad\u66f8\u3092\u3059\u308b\u30d6\u30ed\u30b0","published":"2021-08-29 14:36:00"}