{"url":"https://amalog.hateblo.jp/entry/various-histograms","author_name":"ejinote","blog_title":"\u5929\u8272\u30b0\u30e9\u30d5\u30a3\u30c6\u30a3","provider_url":"https://hatena.blog","html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Famalog.hateblo.jp%2Fentry%2Fvarious-histograms\" title=\"pandas + matplotlib\u3067\u63cf\u304f\u30d2\u30b9\u30c8\u30b0\u30e9\u30e0\u3044\u308d\u3044\u308d - \u5929\u8272\u30b0\u30e9\u30d5\u30a3\u30c6\u30a3\" class=\"embed-card embed-blogcard\" scrolling=\"no\" frameborder=\"0\" style=\"display: block; width: 100%; height: 190px; max-width: 500px; margin: 10px 0px;\"></iframe>","version":"1.0","categories":["Python","\u30c7\u30fc\u30bf\u89e3\u6790"],"description":"\u30c7\u30fc\u30bf\u89e3\u6790\u30b3\u30f3\u30da\u306e\u521d\u671f\u6bb5\u968e\u3067\u306f\u3001\u30c7\u30fc\u30bf\u3092\u53ef\u8996\u5316\u3057\u3066\u773a\u3081\u3001\u7279\u5fb4\u3092\u63a2\u3059\u3068\u3044\u3046\u63a2\u7d22\u7684\u30c7\u30fc\u30bf\u5206\u6790(EDA)\u304c\u884c\u308f\u308c\u307e\u3059\u3002 Python\u3067\u30c7\u30fc\u30bf\u5206\u6790\u3057\u3066\u3044\u308b\u5834\u5408\u3001\u53ef\u8996\u5316\u306b\u306fpandas\u306e\u30d7\u30ed\u30c3\u30c8\u6a5f\u80fd\u3001\u3082\u3057\u304f\u306fmatplotlib\u3092\u4f7f\u3046\u3053\u3068\u304c\u591a\u3044\u3067\u3057\u3087\u3046\u3002 \u4eca\u56de\u306f\u30d2\u30b9\u30c8\u30b0\u30e9\u30e0\u306b\u7d5e\u3063\u3066\u3001\u50d5\u304c\u826f\u304f\u4f7f\u3063\u3066\u3044\u308b\u66f8\u304d\u65b9\u3092\u7d39\u4ecb\u3057\u305f\u3044\u3068\u601d\u3044\u307e\u3059\u3002 \u984c\u6750\u3068\u3059\u308b\u30c7\u30fc\u30bf\u306b\u306fKaggle\u306eTitanic\u30b3\u30f3\u30da\u306e\u30c7\u30fc\u30bf\u3092\u4f7f\u3046\u3053\u3068\u306b\u3057\u307e\u3057\u3087\u3046\u3002\u4e00\u90e8\u3092\u629c\u304d\u51fa\u3057\u3066\u304f\u308b\u3068\u3053\u3093\u306a\u611f\u3058\u306e\u30c7\u30fc\u30bf\u306b\u306a\u3063\u3066\u3044\u307e\u3059\u3002\u4eca\u56de\u306f\u3053\u306eAge\u306e\u5217\u3092\u53ef\u8996\u5316\u3057\u3066\u307f\u305f\u3044\u3068\u601d\u3044\u307e\u3059\u3002 data = pd.read_csv('input/train.csv') dat\u2026","provider_name":"Hatena Blog","author_url":"https://blog.hatena.ne.jp/ejinote/","height":"190","published":"2018-04-23 18:00:00","title":"pandas + matplotlib\u3067\u63cf\u304f\u30d2\u30b9\u30c8\u30b0\u30e9\u30e0\u3044\u308d\u3044\u308d","image_url":"https://cdn-ak.f.st-hatena.com/images/fotolife/e/ejinote/20180423/20180423105748.png","blog_url":"https://amalog.hateblo.jp/","type":"rich","width":"100%"}