{"published":"2022-11-03 08:33:06","provider_name":"Hatena Blog","version":"1.0","height":"190","url":"https://www.crosshyou.info/entry/2022/11/03/083306","author_url":"https://blog.hatena.ne.jp/cross_hyou/","description":"Unsplash\u306eKarsten W\u00fcrth\u304c\u64ae\u5f71\u3057\u305f\u5199\u771f www.crosshyou.info This post is following of the above post. In this post, let's sort dataframe by variables. The smallest TOT_1000EMPLOTED observation is CHL 2009. The largest TOT_1000EMPLOYED observation is FIN 2004. The smallest WOMEN_PC_RESEARCHER observation si KOR\u2026","type":"rich","html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Fwww.crosshyou.info%2Fentry%2F2022%2F11%2F03%2F083306\" title=\"OECD Researchers data analysis 4 - Sorting dataframe by column in 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","image_url":"https://cdn-ak.f.st-hatena.com/images/fotolife/c/cross_hyou/20221103/20221103074738.jpg","blog_title":"R\u3067\u4f55\u304b\u3092\u3057\u305f\u308a\u3001\u8aad\u66f8\u3092\u3059\u308b\u30d6\u30ed\u30b0","blog_url":"https://www.crosshyou.info/","title":"OECD Researchers data analysis 4 - Sorting dataframe by column in R","provider_url":"https://hatena.blog","categories":["Data_Analysis"],"width":"100%"}