{"blog_url":"https://www.crosshyou.info/","image_url":"https://cdn-ak.f.st-hatena.com/images/fotolife/c/cross_hyou/20260613/20260613083646.jpg","provider_url":"https://hatena.blog","title":"IEA Gender and Energy Employment Data Analysis 2 - Organize the data frame with R.","provider_name":"Hatena Blog","author_url":"https://blog.hatena.ne.jp/cross_hyou/","version":"1.0","html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Fwww.crosshyou.info%2Fentry%2F2026%2F06%2F13%2F095043\" title=\"IEA Gender and Energy Employment Data Analysis 2 - Organize the data frame with R. - 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>","author_name":"cross_hyou","height":"190","type":"rich","width":"100%","url":"https://www.crosshyou.info/entry/2026/06/13/095043","blog_title":"R\u3067\u4f55\u304b\u3092\u3057\u305f\u308a\u3001\u8aad\u66f8\u3092\u3059\u308b\u30d6\u30ed\u30b0","published":"2026-06-13 09:50:43","categories":["Data_Analysis","\u30c7\u30fc\u30bf\u5206\u6790"],"description":"www.crosshyou.info This post is continuation of the above one. In the previous post, I load IEA data into R and create a data frame. In this session, let\u2019s examine and organize the contents of this dataframe. Let's start with \"Country\". I see some countries have 864 observations and some don't. I wo\u2026"}