{"id":7287,"date":"2025-10-17T12:49:21","date_gmt":"2025-10-17T03:49:21","guid":{"rendered":"https:\/\/blog.since2020.jp\/?p=7287"},"modified":"2025-10-17T12:49:21","modified_gmt":"2025-10-17T03:49:21","slug":"python_use_auto_eda","status":"publish","type":"post","link":"https:\/\/since2020.jp\/media\/python_use_auto_eda\/","title":{"rendered":"Python\u3067EDA\u3092\u81ea\u52d5\u5316\uff01ydata-profiling\u30fbSweetviz\u30fbAutoViz\u5fb9\u5e95\u6bd4\u8f03"},"content":{"rendered":"\n

\u3053\u306e\u8a18\u4e8b\u3067\u306f\u3001\u4ee3\u8868\u7684\u306a3\u3064\u306e\u30e9\u30a4\u30d6\u30e9\u30eaydata-profiling\u30fbSweetviz\u30fbAutoViz\u306b\u3064\u3044\u3066\u7d39\u4ecb\u3057\u307e\u3059<\/p>\n\n\n

\u306f\u3058\u3081\u306b<\/h2>\n

\u30c7\u30fc\u30bf\u5206\u6790\u3084\u6a5f\u68b0\u5b66\u7fd2\u306e\u524d\u306b\u6b20\u304b\u305b\u306a\u3044\u5de5\u7a0b\u3068\u3044\u3048\u3070 EDA\uff08\u63a2\u7d22\u7684\u30c7\u30fc\u30bf\u5206\u6790\uff1aExploratory Data Analysis\uff09<\/strong> \u3067\u3059\u3002\u3057\u304b\u3057\u3001\u6bce\u56de\u30d2\u30b9\u30c8\u30b0\u30e9\u30e0\u3084\u76f8\u95a2\u884c\u5217\u3092\u624b\u4f5c\u696d\u3067\u63cf\u304f\u306e\u306f\u5927\u5909\u3067\u3059\u3088\u306d\u3002<\/p>\r\n

\u305d\u3053\u3067\u767b\u5834\u3059\u308b\u306e\u304c\u3001\u81ea\u52d5\u3067\u30c7\u30fc\u30bf\u306e\u7279\u5fb4\u3092\u53ef\u8996\u5316\u30fb\u8981\u7d04\u3057\u3066\u304f\u308c\u308bEDA\u652f\u63f4\u30e9\u30a4\u30d6\u30e9\u30ea<\/strong>\u3067\u3059\u3002<\/p>\r\n

\u3053\u306e\u8a18\u4e8b\u3067\u306f\u3001\u4ee3\u8868\u7684\u306a3\u3064\u306e\u30e9\u30a4\u30d6\u30e9\u30eaydata-profiling\u30fbSweetviz\u30fbAutoViz\u306b\u3064\u3044\u3066\u7d39\u4ecb\u3057\u307e\u3059<\/p>\r\n

<\/p>\n\n

\u5404\u30e9\u30a4\u30d6\u30e9\u30ea\u306e\u8aac\u660e<\/h2>\nydata-profiling<\/b>\r\n

\u6700\u3082\u6b74\u53f2\u304c\u9577\u304f\u3001\u6709\u540d\u306aEDA\u81ea\u52d5\u5316\u30c4\u30fc\u30eb\u3002<\/p>\r\n

\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3092\u6e21\u3059\u3060\u3051\u3067\u3001\u7d71\u8a08\u91cf\u30fb\u6b20\u640d\u5024\u30fb\u76f8\u95a2\u30fb\u5206\u5e03\u30fb\u578b\u306e\u63a8\u5b9a<\/strong>\u306a\u3069\u3092\u7db2\u7f85\u3057\u305fHTML\u30ec\u30dd\u30fc\u30c8\u3092\u751f\u6210\u3057\u307e\u3059\u3002<\/p>\r\n

\u30ec\u30dd\u30fc\u30c8\u306f\u898b\u3084\u3059\u304f\u6574\u7406\u3055\u308c\u3066\u304a\u308a\u3001\u30c7\u30fc\u30bf\u54c1\u8cea\u306e\u30c1\u30a7\u30c3\u30af\u3084\u524d\u51e6\u7406\u65b9\u91dd\u306e\u691c\u8a0e\u306b\u6700\u9069\u3067\u3059\u3002<\/p>\r\n

\u307e\u305f\u3001Pandas\u3068\u306e\u89aa\u548c\u6027\u304c\u9ad8\u304f\u30011\u884c\u3067\u7c21\u5358\u306bEDA\u3092\u5b8c\u7d50\u3067\u304d\u308b\u70b9\u304c\u9b45\u529b\u3067\u3059\u3002<\/p>\r\nSweetviz<\/b>\r\n

\u30c7\u30b6\u30a4\u30f3\u6027\u304c\u9ad8\u304f\u3001\u6bd4\u8f03\u306b\u7279\u5316\u3057\u305fEDA\u30e9\u30a4\u30d6\u30e9\u30ea<\/strong>\u3002<\/p>\r\n

\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u30c7\u30fc\u30bf\u3068\u30c6\u30b9\u30c8\u30c7\u30fc\u30bf\u3001\u3042\u308b\u3044\u306f\u7570\u306a\u308b\u30b0\u30eb\u30fc\u30d7\u306e\u30c7\u30fc\u30bf\u3092\u7c21\u5358\u306b\u6bd4\u8f03\u3067\u304d\u307e\u3059\u3002<\/p>\r\n

\u30b0\u30e9\u30d5\u30a3\u30ab\u30eb\u3067\u76f4\u611f\u7684\u306a\u30ec\u30dd\u30fc\u30c8\u3092HTML\u3068\u3057\u3066\u51fa\u529b\u3057\u3001\u30c7\u30fc\u30bf\u306e\u504f\u308a\u3084\u30d0\u30e9\u30f3\u30b9\u3092\u8996\u899a\u7684\u306b\u628a\u63e1\u53ef\u80fd\u3067\u3059\u3002<\/p>\r\n

\u7279\u306b\u5206\u985e\u30e2\u30c7\u30eb\u958b\u767a\u524d\u306e\u30c7\u30fc\u30bf\u691c\u8a3c\u30b9\u30c6\u30c3\u30d7\u306b\u304a\u3044\u3066\u975e\u5e38\u306b\u6709\u7528\u3067\u3059\u3002<\/p>\r\nAutoViz<\/b>\r\n

\u6700\u5c0f\u9650\u306e\u30b3\u30fc\u30c9\u3067\u8c4a\u5bcc\u306a\u53ef\u8996\u5316\u3092\u81ea\u52d5\u751f\u6210<\/strong>\u3059\u308bEDA\u30c4\u30fc\u30eb\u3002<\/p>\r\n

\u30bf\u30fc\u30b2\u30c3\u30c8\u5909\u6570\u3092\u6307\u5b9a\u3059\u308c\u3070\u3001\u7279\u5fb4\u91cf\u3054\u3068\u306e\u5206\u5e03\u30fb\u95a2\u4fc2\u6027\u30fb\u91cd\u8981\u5ea6\u306a\u3069\u3092\u81ea\u52d5\u3067\u63cf\u753b\u3057\u307e\u3059\u3002<\/p>\r\n

\u30b0\u30e9\u30d5\u751f\u6210\u306b\u91cd\u70b9\u3092\u7f6e\u3044\u3066\u304a\u308a\u3001Notebook\u74b0\u5883\u3067\u306e\u30c7\u30fc\u30bf\u7406\u89e3\u3092\u8996\u899a\u7684\u306b\u652f\u63f4\u3057\u307e\u3059\u3002<\/p>\r\n

\u5927\u898f\u6a21\u30c7\u30fc\u30bf\u306b\u3082\u5bfe\u5fdc\u3057\u3066\u304a\u308a\u3001\u77ed\u6642\u9593\u3067\u5168\u4f53\u50cf\u3092\u63b4\u307f\u305f\u3044\u5206\u6790\u521d\u671f\u6bb5\u968e\u306b\u9069\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\r\n

<\/p>\n\n

\u5404\u30e9\u30a4\u30d6\u30e9\u30ea\u306e\u6bd4\u8f03<\/h2>\nydata-profiling<\/span><\/b>\r\n

\u3000\u30e1\u30ea\u30c3\u30c8<\/strong><\/p>\r\n

    \r\n\t
  • \u7d71\u8a08\u91cf\u3084\u6b20\u640d\u5024\u3001\u76f8\u95a2\u306a\u3069\u3092\u81ea\u52d5\u3067\u8a73\u7d30\u306b\u5206\u6790\u3002<\/li>\r\n\t
  • 1\u884c\u3067HTML\u30ec\u30dd\u30fc\u30c8\u3092\u751f\u6210\u3067\u304d\u3001\u624b\u9593\u304c\u5c11\u306a\u3044\u3002<\/li>\r\n\t
  • \u30c7\u30fc\u30bf\u54c1\u8cea\u30c1\u30a7\u30c3\u30af\u3084\u521d\u671f\u63a2\u7d22\u306b\u6700\u9069\u3002<\/li>\r\n<\/ul>\r\n

    \u3000\u30c7\u30e1\u30ea\u30c3\u30c8<\/strong><\/p>\r\n

      \r\n\t
    • \u5927\u898f\u6a21\u30c7\u30fc\u30bf\u3067\u306f\u51e6\u7406\u304c\u91cd\u304f\u306a\u308b\u3053\u3068\u304c\u3042\u308b\u3002<\/li>\r\n\t
    • \u30d3\u30b8\u30e5\u30a2\u30eb\u3088\u308a\u3082\u7d71\u8a08\u7684\u30ec\u30dd\u30fc\u30c8\u5bc4\u308a\u3002<\/li>\r\n\t
    • \u30ab\u30b9\u30bf\u30de\u30a4\u30ba\u6027\u304c\u9650\u5b9a\u7684\u3002<\/li>\r\n<\/ul>\r\nSweetviz<\/b>\r\n

      \u3000\u30e1\u30ea\u30c3\u30c8<\/strong><\/p>\r\n

        \r\n\t
      • \u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u30c7\u30fc\u30bf\u3068\u30c6\u30b9\u30c8\u30c7\u30fc\u30bf\u306e\u6bd4\u8f03\u5206\u6790\u306b\u7279\u5316<\/span>\u3002<\/li>\r\n\t
      • \u30c7\u30b6\u30a4\u30f3\u6027\u304c\u9ad8\u304f\u3001\u30b0\u30e9\u30d5\u304c\u898b\u3084\u3059\u3044\u3002<\/li>\r\n\t
      • \u30ec\u30dd\u30fc\u30c8\u306e\u5171\u6709\u304c\u7c21\u5358\uff08HTML\u5f62\u5f0f\uff09\u3002<\/li>\r\n<\/ul>\r\n

        \u3000\u30c7\u30e1\u30ea\u30c3\u30c8<\/strong><\/p>\r\n

          \r\n\t
        • \u7d71\u8a08\u5206\u6790\u306e\u6df1\u3055\u306fydata-profiling\u306b\u52a3\u308b\u3002<\/li>\r\n\t
        • NumPy\u306a\u3069\u3068\u306e\u4e92\u63db\u6027\u554f\u984c\u304c\u51fa\u308b\u5834\u5408\u304c\u3042\u308b\u3002<\/li>\r\n\t
        • \u30ab\u30b9\u30bf\u30e0\u96c6\u8a08\u3084\u6570\u5024\u8abf\u6574\u304c\u96e3\u3057\u3044\u3002<\/li>\r\n<\/ul>\r\nAutoViz<\/span><\/b>\r\n

          \u3000\u30e1\u30ea\u30c3\u30c8<\/strong><\/p>\r\n

            \r\n\t
          • \u30b3\u30fc\u30c91\u301c2\u884c\u3067\u8c4a\u5bcc\u306a\u53ef\u8996\u5316\u30b0\u30e9\u30d5\u3092\u81ea\u52d5\u751f\u6210<\/span>\u3002<\/li>\r\n\t
          • \u76ee\u7684\u5909\u6570\u3092\u6307\u5b9a\u3059\u308b\u3060\u3051\u3067\u95a2\u9023\u6027\u3092\u53ef\u8996\u5316\u3002<\/li>\r\n\t
          • Notebook\u74b0\u5883\u3067\u8efd\u5feb\u306b\u52d5\u4f5c\u3002<\/li>\r\n<\/ul>\r\n

            \u3000\u30c7\u30e1\u30ea\u30c3\u30c8<\/strong><\/p>\r\n

              \r\n\t
            • HTML\u30ec\u30dd\u30fc\u30c8\u5f62\u5f0f\u3067\u306f\u306a\u304fNotebook\u4e0a\u3067\u306e\u51fa\u529b\u4e2d\u5fc3\u3002<\/li>\r\n\t
            • \u7d30\u304b\u3044\u8abf\u6574\uff08\u30d5\u30a9\u30f3\u30c8\u3001\u8272\u306a\u3069\uff09\u304c\u96e3\u3057\u3044\u3002<\/li>\r\n\t
            • \u4ed6\u30c4\u30fc\u30eb\u306b\u6bd4\u3079\u3066\u7d71\u8a08\u60c5\u5831\u306e\u51fa\u529b\u306f\u63a7\u3048\u3081\u3002<\/li>\r\n<\/ul>\n\n

              \u30cf\u30f3\u30ba\u30aa\u30f3<\/h2>\n

              \u5b9f\u88c5\u74b0\u5883\uff1a\u4eca\u56de\u306fGoogle Colabratory\u3092\u4f7f\u7528\u3057\u307e\u3059\u3002<\/p>\r\n

              \u4f7f\u7528\u3059\u308b\u30c7\u30fc\u30bf\uff1a\u4eca\u56de\u306f\u30bf\u30a4\u30bf\u30cb\u30c3\u30af\u53f7\u306e\u30c7\u30fc\u30bf\u3092\u4f7f\u7528\u3057\u307e\u3059\u3002<\/p>\r\n

              \r\n
              import seaborn as sns\r\ndf = sns.load_dataset(\"titanic\")<\/code><\/pre>\r\n<\/div>\r\nydata-profiling<\/b>\r\n
              \r\n
              !pip install ydata-profiling\r\n\r\nfrom ydata_profiling import ProfileReport\r\n\r\nprofile = ProfileReport(\r\n\u3000df,\r\n\u3000title=\"Data Profile Report\",\r\n\u3000explorative=True, # \u8ffd\u52a0\u306e\u53ef\u8996\u5316\u30fb\u76f8\u95a2\u306a\u3069\u3092\u6709\u52b9\u5316\r\n\u3000minimal=False # \u5927\u898f\u6a21\u306a\u3089 True \u306b\u3057\u3066\u8efd\u91cf\u5316\r\n)\r\nprofile.to_file(\"ydata_profile.html\")<\/code><\/pre>\r\n<\/div>\r\n
              \u3053\u3061\u3089\u306e\u30b3\u30fc\u30c9\u3092\u5b9f\u884c\u3057\u3066\u3001\u753b\u9762\u53f3\u306e\u300c\u30d5\u30a1\u30a4\u30eb\u300d\u3092\u30af\u30ea\u30c3\u30af\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/p>\r\n
              \"\"<\/p>\r\n
              \u4e2d\u8eab\u3092\u78ba\u8a8d\u3059\u308b\u3068html\u30d5\u30a1\u30a4\u30eb\u304c\u4f5c\u6210\u3055\u308c\u3066\u3044\u308b\u306e\u3067\u3002\u3053\u3061\u3089\u3092\u30c0\u30a6\u30f3\u30ed\u30fc\u30c9\u3057\u3066\u3001\u30ed\u30fc\u30ab\u30eb\u3067\u958b\u3044\u3066\u307f\u3066\u304f\u3060\u3055\u3044\u3002<\/p>\r\n
              \u4ee5\u4e0b\u306e\u3088\u3046\u306b\u30ec\u30dd\u30fc\u30c8\u304c\u4f5c\u6210\u3055\u308c\u3066\u3044\u305f\u3089\u6210\u529f\u3067\u3059\u3002<\/p>\r\n
              \"\"<\/p>\r\nSweetviz<\/b>\r\n
              \u3053\u3061\u3089\u306e\u30b3\u30fc\u30c9\u3092\u5b9f\u884c\u3057\u305f\u3089\u3001\u4e00\u5ea6\u30bb\u30c3\u30b7\u30e7\u30f3\u3092\u518d\u8d77\u52d5\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/p>\r\n
              \u203b\u3053\u308c\u3092\u5b9f\u884c\u3057\u306a\u3044\u3068Sweetviz \u3068 NumPy \u306e\u30d0\u30fc\u30b8\u30e7\u30f3\u4e0d\u6574\u5408<\/strong>\u306b\u3088\u3063\u3066\u30a8\u30e9\u30fc\u304c\u767a\u751f\u3057\u307e\u3059\u3002<\/p>\r\n
              \r\n
              !pip install numpy==1.26.4 sweetviz --upgrade --quiet<\/code><\/pre>\r\n<\/div>\r\n
              \r\n
              import sweetviz as sv\r\n\r\nreport = sv.analyze(df)\r\n# \u30ec\u30dd\u30fc\u30c8\u3092\u751f\u6210\uff08HTML\u30d5\u30a1\u30a4\u30eb\uff09\r\nreport.show_html('sweetviz_report.html')<\/code><\/pre>\r\n<\/div>\r\n
              \u3053\u3061\u3089\u306e\u30b3\u30fc\u30c9\u3092\u5b9f\u884c\u3057\u3066\u3001\u753b\u9762\u53f3\u306e\u300c\u30d5\u30a1\u30a4\u30eb\u300d\u3092\u30af\u30ea\u30c3\u30af\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/p>\r\n
              \"\"<\/p>\r\n
              \u4e2d\u8eab\u3092\u78ba\u8a8d\u3059\u308b\u3068html\u30d5\u30a1\u30a4\u30eb\u304c\u4f5c\u6210\u3055\u308c\u3066\u3044\u308b\u306e\u3067\u3002\u3053\u3061\u3089\u3092\u30c0\u30a6\u30f3\u30ed\u30fc\u30c9\u3057\u3066\u3001\u30ed\u30fc\u30ab\u30eb\u3067\u958b\u3044\u3066\u307f\u3066\u304f\u3060\u3055\u3044\u3002<\/p>\r\n
              \u4ee5\u4e0b\u306e\u3088\u3046\u306b\u30ec\u30dd\u30fc\u30c8\u304c\u4f5c\u6210\u3055\u308c\u3066\u3044\u305f\u3089\u6210\u529f\u3067\u3059\u3002<\/p>\r\n
              \"\"<\/p>\r\nAutoViz<\/b>\r\n
              \r\n
              !pip install -U autoviz --quiet\r\n\r\n\r\nfrom autoviz.AutoViz_Class import AutoViz_Class\r\n\r\nAV = AutoViz_Class()\r\n\u3000viz_df = AV.AutoViz(\r\n\u3000filename=\"\", # \u76f4\u63a5 df \u3092\u6e21\u3059\u306e\u3067\u7a7a\u6587\u5b57\r\n\u3000dfte=df, # \u2190 DataFrame \u3092\u6e21\u3059\r\n\u3000depVar=\"alive\", # \u76ee\u7684\u5909\u6570\u304c\u7121\u3051\u308c\u3070\u7a7a\u6587\u5b57\r\n\u3000header=0,\r\n\u3000verbose=0,\r\n\u3000lowess=False,\r\n\u3000chart_format=\"svg\", # \"svg\" \u307e\u305f\u306f \"png\"\r\n\u3000max_rows_analyzed=300000,\r\n\u3000max_cols_analyzed=200\r\n)<\/code><\/pre>\r\n<\/div>\r\n
              \u5b9f\u884c\u7d50\u679c\u3068\u3057\u3066\u4ee5\u4e0b\u306e\u3088\u3046\u306a\u8868\u304c\u751f\u6210\u3055\u308c\u308c\u3070\u6210\u529f\u3067\u3059\u3002<\/p>\r\n
              \"\"<\/p>\r\n
              <\/p>\n\n
              \u304a\u308f\u308a\u306b<\/h2>\n
              \u672c\u8a18\u4e8b\u3067\u306f\u3001\u4ee3\u8868\u7684\u306aEDA\u81ea\u52d5\u5316\u30e9\u30a4\u30d6\u30e9\u30ea\u3067\u3042\u308bydata-profiling\u30fbSweetviz\u30fbAutoViz<\/strong> \u306e\u7279\u5fb4\u3092\u6bd4\u8f03\u3057\u3066\u7d39\u4ecb\u3057\u307e\u3057\u305f\u3002<\/p>\r\n
              \u3069\u306e\u30c4\u30fc\u30eb\u3082\u300c\u6570\u884c\u306e\u30b3\u30fc\u30c9\u3067EDA\u3092\u81ea\u52d5\u5316\u3067\u304d\u308b\u300d\u3068\u3044\u3046\u5171\u901a\u70b9\u3092\u6301\u3061\u306a\u304c\u3089\u3001\u305d\u308c\u305e\u308c\u5f97\u610f\u5206\u91ce\u304c\u7570\u306a\u308a\u307e\u3059\u3002<\/p>\r\n
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