{"image_url":"https://cdn-ak.f.st-hatena.com/images/fotolife/c/cross_hyou/20231125/20231125082445.jpg","provider_name":"Hatena Blog","author_name":"cross_hyou","html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Fwww.crosshyou.info%2Fentry%2F2023%2F11%2F25%2F082502\" title=\"OECD Trust in government data analysis 2 - visualizing data with R using ggplot2. one variable distribution, two variables relationship. - 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_url":"https://blog.hatena.ne.jp/cross_hyou/","description":"Generated by Bing Image Crator: Photography of Mt. Fuji and beautiful lake and blue sky and red foreasts www.crosshyou.info This post is following of the above post.In the previous post, I load OECD Trust in govenment data and per capita GDP data into R. In this post, I visualize those data using gg\u2026","blog_url":"https://www.crosshyou.info/","provider_url":"https://hatena.blog","blog_title":"R\u3067\u4f55\u304b\u3092\u3057\u305f\u308a\u3001\u8aad\u66f8\u3092\u3059\u308b\u30d6\u30ed\u30b0","width":"100%","url":"https://www.crosshyou.info/entry/2023/11/25/082502","categories":["Data_Analysis"],"type":"rich","version":"1.0","title":"OECD Trust in government data analysis 2 - visualizing data with R using ggplot2. one variable distribution, two variables relationship.","height":"190","published":"2023-11-25 08:25:02"}