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\u30c7\u30fc\u30bf\u66f8\u304d\u63db\u3048\u306f\u3001\u751f\u30c7\u30fc\u30bf\u3092\u30af\u30ea\u30fc\u30cb\u30f3\u30b0\u3057\u3066\u5909\u63db\u3059\u308b\u3053\u3068\u306b\u3088\u308a\u3001\u30c7\u30fc\u30bf\u306e\u54c1\u8cea\u3068\u7cbe\u5ea6\u3092\u5927\u5e45\u306b\u5411\u4e0a\u3055\u305b\u307e\u3059\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u5f37\u5316\u3055\u308c\u305f\u30c7\u30fc\u30bf\u306e\u4f7f\u3044\u3084\u3059\u3055:<\/strong> \u66f8\u304d\u63db\u3048\u3089\u308c\u305f\u30c7\u30fc\u30bf\u306f\u6271\u3044\u3084\u3059\u304f\u306a\u308a\u3001\u30c7\u30fc\u30bf \u30a2\u30ca\u30ea\u30b9\u30c8\u3084\u30c7\u30fc\u30bf \u30b5\u30a4\u30a8\u30f3\u30c6\u30a3\u30b9\u30c8\u306b\u3068\u3063\u3066\u30a2\u30af\u30bb\u30b9\u3057\u3084\u3059\u304f\u306a\u308a\u307e\u3059\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u6642\u9593\u3068\u30ea\u30bd\u30fc\u30b9\u306e\u52b9\u7387:<\/strong> \u81ea\u52d5\u5316\u3055\u308c\u305f\u30c7\u30fc\u30bf\u66f8\u304d\u63db\u3048\u6280\u8853\u306f\u3001\u624b\u52d5\u306e\u30c7\u30fc\u30bf \u30af\u30ea\u30fc\u30cb\u30f3\u30b0\u3068\u51e6\u7406\u306b\u8cbb\u3084\u3055\u308c\u308b\u6642\u9593\u3068\u30ea\u30bd\u30fc\u30b9\u3092\u7bc0\u7d04\u3059\u308b\u306e\u306b\u5f79\u7acb\u3061\u307e\u3059\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u30c7\u30fc\u30bf\u306e\u4e00\u8cab\u6027:<\/strong> \u30c7\u30fc\u30bf\u5f62\u5f0f\u3092\u6a19\u6e96\u5316\u3057\u3001\u6b20\u640d\u5024\u3092\u51e6\u7406\u3059\u308b\u3053\u3068\u306b\u3088\u308a\u3001\u30c7\u30fc\u30bf\u66f8\u304d\u63db\u3048\u306b\u3088\u308a\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u5168\u4f53\u306e\u4e00\u8cab\u6027\u304c\u78ba\u4fdd\u3055\u308c\u307e\u3059\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u3088\u308a\u826f\u3044\u610f\u601d\u6c7a\u5b9a:<\/strong> \u4e0d\u6b63\u884c\u70ba\u3092\u901a\u3058\u3066\u53d6\u5f97\u3055\u308c\u305f\u9ad8\u54c1\u8cea\u3067\u9069\u5207\u306b\u69cb\u9020\u5316\u3055\u308c\u305f\u30c7\u30fc\u30bf\u306f\u3001\u3088\u308a\u591a\u304f\u306e\u60c5\u5831\u306b\u57fa\u3065\u3044\u305f\u4fe1\u983c\u6027\u306e\u9ad8\u3044\u610f\u601d\u6c7a\u5b9a\u30d7\u30ed\u30bb\u30b9\u306b\u3064\u306a\u304c\u308a\u307e\u3059\u3002<\/p>\n<\/li>\n<\/ol>\n<h2>\u30c7\u30fc\u30bf\u6539\u3056\u3093\u306e\u7a2e\u985e<\/h2>\n<p>\u30c7\u30fc\u30bf\u6539\u3056\u3093\u306b\u306f\u3001\u7279\u5b9a\u306e\u30c7\u30fc\u30bf\u524d\u51e6\u7406\u30bf\u30b9\u30af\u306b\u57fa\u3065\u3044\u305f\u3055\u307e\u3056\u307e\u306a\u624b\u6cd5\u304c\u542b\u307e\u308c\u307e\u3059\u3002\u4ee5\u4e0b\u306e\u8868\u306f\u3001\u3055\u307e\u3056\u307e\u306a\u7a2e\u985e\u306e\u30c7\u30fc\u30bf\u6539\u5909\u624b\u6cd5\u3092\u307e\u3068\u3081\u305f\u3082\u306e\u3067\u3059\u3002<\/p>\n<table>\n<thead>\n<tr>\n<th><strong>\u30c7\u30fc\u30bf\u5909\u66f4\u306e\u7a2e\u985e<\/strong><\/th>\n<th><strong>\u8aac\u660e<\/strong><\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>\u30c7\u30fc\u30bf\u30af\u30ea\u30fc\u30cb\u30f3\u30b0<\/td>\n<td>\u30a8\u30e9\u30fc\u3068\u4e0d\u4e00\u81f4\u3092\u7279\u5b9a\u3057\u3066\u4fee\u6b63\u3057\u307e\u3059\u3002<\/td>\n<\/tr>\n<tr>\n<td>\u30c7\u30fc\u30bf\u5909\u63db<\/td>\n<td>\u30c7\u30fc\u30bf\u3092\u5206\u6790\u7528\u306e\u6a19\u6e96\u5f62\u5f0f\u306b\u5909\u63db\u3057\u307e\u3059\u3002<\/td>\n<\/tr>\n<tr>\n<td>\u30c7\u30fc\u30bf\u7d71\u5408<\/td>\n<td>\u3055\u307e\u3056\u307e\u306a\u30bd\u30fc\u30b9\u304b\u3089\u306e\u30c7\u30fc\u30bf\u3092\u7d50\u5408\u3057\u3066 1 \u3064\u306e\u307e\u3068\u307e\u308a\u306e\u3042\u308b\u30bb\u30c3\u30c8\u306b\u3057\u307e\u3059\u3002<\/td>\n<\/tr>\n<tr>\n<td>\u7279\u5fb4\u91cf\u30a8\u30f3\u30b8\u30cb\u30a2\u30ea\u30f3\u30b0<\/td>\n<td>\u65b0\u3057\u3044\u30d5\u30a3\u30fc\u30c1\u30e3\u3092\u4f5c\u6210\u3059\u308b\u304b\u3001\u5206\u6790\u306e\u305f\u3081\u306b\u95a2\u9023\u3059\u308b\u30d5\u30a3\u30fc\u30c1\u30e3\u3092\u9078\u629e\u3057\u307e\u3059\u3002<\/td>\n<\/tr>\n<tr>\n<td>\u30c7\u30fc\u30bf\u524a\u6e1b<\/td>\n<td>\u60c5\u5831\u3092\u7dad\u6301\u3057\u306a\u304c\u3089\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306e\u30b5\u30a4\u30ba\u3092\u524a\u6e1b\u3057\u307e\u3059\u3002<\/td>\n<\/tr>\n<tr>\n<td>\u30c7\u30fc\u30bf\u306e\u30d5\u30a9\u30fc\u30de\u30c3\u30c8<\/td>\n<td>\u7279\u5b9a\u306e\u6a19\u6e96\u306b\u5f93\u3063\u3066\u30c7\u30fc\u30bf\u3092\u30d5\u30a9\u30fc\u30de\u30c3\u30c8\u3059\u308b\u3002<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>\u30c7\u30fc\u30bf\u30de\u30f3\u30b8\u30f3\u30b0\u306e\u4f7f\u7528\u65b9\u6cd5\u3001\u4f7f\u7528\u306b\u95a2\u9023\u3059\u308b\u554f\u984c\u3068\u305d\u306e\u89e3\u6c7a\u7b56\u3002<\/h2>\n<p>\u30c7\u30fc\u30bf\u6539\u3056\u3093\u306f\u3055\u307e\u3056\u307e\u306a\u30c9\u30e1\u30a4\u30f3\u306b\u9069\u7528\u3055\u308c\u3066\u304a\u308a\u3001\u30c7\u30fc\u30bf\u4e3b\u5c0e\u306e\u610f\u601d\u6c7a\u5b9a\u306b\u3068\u3063\u3066\u91cd\u8981\u3067\u3059\u3002\u305f\u3060\u3057\u3001\u6b21\u306e\u3088\u3046\u306a\u8ab2\u984c\u3082\u4f34\u3044\u307e\u3059\u3002<\/p>\n<ol>\n<li>\n<p><strong>\u6b20\u640d\u30c7\u30fc\u30bf\u306e\u51e6\u7406:<\/strong> \u30c7\u30fc\u30bf\u304c\u6b20\u843d\u3057\u3066\u3044\u308b\u3068\u3001\u5206\u6790\u306b\u504f\u308a\u304c\u751f\u3058\u3001\u7d50\u679c\u304c\u4e0d\u6b63\u78ba\u306b\u306a\u308b\u53ef\u80fd\u6027\u304c\u3042\u308a\u307e\u3059\u3002\u6b20\u640d\u30c7\u30fc\u30bf\u306b\u5bfe\u51e6\u3059\u308b\u306b\u306f\u3001\u5e73\u5747\u5024\u3001\u4e2d\u592e\u5024\u3001\u5185\u633f\u306a\u3069\u306e\u88dc\u5b8c\u624b\u6cd5\u304c\u4f7f\u7528\u3055\u308c\u307e\u3059\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u5916\u308c\u5024\u3078\u306e\u5bfe\u51e6:<\/strong> \u5916\u308c\u5024\u306f\u5206\u6790\u306b\u5927\u304d\u306a\u5f71\u97ff\u3092\u4e0e\u3048\u308b\u53ef\u80fd\u6027\u304c\u3042\u308a\u307e\u3059\u3002\u3053\u308c\u3089\u306f\u7d71\u8a08\u7684\u624b\u6cd5\u3092\u4f7f\u7528\u3057\u3066\u524a\u9664\u307e\u305f\u306f\u5909\u63db\u3067\u304d\u307e\u3059\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u30c7\u30fc\u30bf\u7d71\u5408\u306e\u554f\u984c:<\/strong> \u8907\u6570\u306e\u30bd\u30fc\u30b9\u304b\u3089\u306e\u30c7\u30fc\u30bf\u306e\u7d50\u5408\u306f\u3001\u30c7\u30fc\u30bf\u69cb\u9020\u306e\u9055\u3044\u306b\u3088\u308a\u8907\u96d1\u306b\u306a\u308b\u5834\u5408\u304c\u3042\u308a\u307e\u3059\u3002\u7d71\u5408\u3092\u6210\u529f\u3055\u305b\u308b\u306b\u306f\u3001\u9069\u5207\u306a\u30c7\u30fc\u30bf\u306e\u30de\u30c3\u30d4\u30f3\u30b0\u3068\u8abf\u6574\u304c\u5fc5\u8981\u3067\u3059\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u30c7\u30fc\u30bf\u306e\u30b9\u30b1\u30fc\u30ea\u30f3\u30b0\u3068\u6b63\u898f\u5316:<\/strong> \u8ddd\u96e2\u30e1\u30c8\u30ea\u30c3\u30af\u306b\u4f9d\u5b58\u3059\u308b\u6a5f\u68b0\u5b66\u7fd2\u30e2\u30c7\u30eb\u306e\u5834\u5408\u3001\u516c\u5e73\u306a\u6bd4\u8f03\u3092\u78ba\u4fdd\u3059\u308b\u306b\u306f\u3001\u7279\u5fb4\u306e\u30b9\u30b1\u30fc\u30ea\u30f3\u30b0\u3068\u6b63\u898f\u5316\u304c\u91cd\u8981\u3067\u3059\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u6a5f\u80fd\u306e\u9078\u629e:<\/strong> \u904e\u5270\u9069\u5408\u3092\u56de\u907f\u3057\u3001\u30e2\u30c7\u30eb\u306e\u30d1\u30d5\u30a9\u30fc\u30de\u30f3\u30b9\u3092\u5411\u4e0a\u3055\u305b\u308b\u306b\u306f\u3001\u95a2\u9023\u3059\u308b\u7279\u5fb4\u3092\u9078\u629e\u3059\u308b\u3053\u3068\u304c\u4e0d\u53ef\u6b20\u3067\u3059\u3002\u518d\u5e30\u7684\u7279\u5fb4\u9664\u53bb (RFE) \u3084\u7279\u5fb4\u306e\u91cd\u8981\u6027\u306a\u3069\u306e\u624b\u6cd5\u3092\u4f7f\u7528\u3067\u304d\u307e\u3059\u3002<\/p>\n<\/li>\n<\/ol>\n<h2>\u4e3b\u306a\u7279\u5fb4\u3084\u305d\u306e\u4ed6\u306e\u985e\u4f3c\u7528\u8a9e\u3068\u306e\u6bd4\u8f03\u3092\u8868\u3084\u30ea\u30b9\u30c8\u306e\u5f62\u5f0f\u3067\u793a\u3057\u307e\u3059\u3002<\/h2>\n<table>\n<thead>\n<tr>\n<th><strong>\u5b66\u671f<\/strong><\/th>\n<th><strong>\u8aac\u660e<\/strong><\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>\u30c7\u30fc\u30bf\u6539\u3056\u3093<\/td>\n<td>\u5206\u6790\u7528\u306b\u30c7\u30fc\u30bf\u3092\u30af\u30ea\u30fc\u30cb\u30f3\u30b0\u3001\u5909\u63db\u3001\u6e96\u5099\u3059\u308b\u30d7\u30ed\u30bb\u30b9\u3002<\/td>\n<\/tr>\n<tr>\n<td>\u30c7\u30fc\u30bf\u30e9\u30f3\u30b0\u30ea\u30f3\u30b0<\/td>\n<td>\u30c7\u30fc\u30bf\u30de\u30f3\u30b8\u30f3\u30b0\u3068\u540c\u7fa9\u3002\u4e92\u63db\u7684\u306b\u4f7f\u7528\u3055\u308c\u307e\u3059\u3002<\/td>\n<\/tr>\n<tr>\n<td>\u30c7\u30fc\u30bf\u30af\u30ea\u30fc\u30cb\u30f3\u30b0<\/td>\n<td>\u30c7\u30fc\u30bf\u30de\u30f3\u30b8\u30f3\u30b0\u306e\u30b5\u30d6\u30bb\u30c3\u30c8\u306f\u3001\u30a8\u30e9\u30fc\u3068\u4e0d\u6574\u5408\u306e\u9664\u53bb\u306b\u91cd\u70b9\u3092\u7f6e\u3044\u3066\u3044\u307e\u3059\u3002<\/td>\n<\/tr>\n<tr>\n<td>\u30c7\u30fc\u30bf\u306e\u524d\u51e6\u7406<\/td>\n<td>\u30c7\u30fc\u30bf\u30de\u30f3\u30b8\u30f3\u30b0\u3084\u5206\u6790\u524d\u306e\u305d\u306e\u4ed6\u306e\u6e96\u5099\u624b\u9806\u304c\u542b\u307e\u308c\u307e\u3059\u3002<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>\u30c7\u30fc\u30bf\u30de\u30f3\u30b8\u30f3\u30b0\u306b\u95a2\u9023\u3059\u308b\u5c06\u6765\u306e\u5c55\u671b\u3068\u30c6\u30af\u30ce\u30ed\u30b8\u30fc\u3002<\/h2>\n<p>\u30c6\u30af\u30ce\u30ed\u30b8\u30fc\u304c\u9032\u6b69\u3057\u7d9a\u3051\u308b\u306b\u3064\u308c\u3066\u3001\u30c7\u30fc\u30bf\u30de\u30f3\u30b8\u30f3\u30b0\u306e\u5c06\u6765\u306f\u6709\u671b\u3067\u3059\u3002\u30c7\u30fc\u30bf\u6539\u3056\u3093\u306b\u5f71\u97ff\u3092\u4e0e\u3048\u308b\u4e3b\u8981\u306a\u30c8\u30ec\u30f3\u30c9\u3068\u30c6\u30af\u30ce\u30ed\u30b8\u30fc\u306b\u306f\u6b21\u306e\u3088\u3046\u306a\u3082\u306e\u304c\u3042\u308a\u307e\u3059\u3002<\/p>\n<ol>\n<li>\n<p><strong>\u81ea\u52d5\u30c7\u30fc\u30bf\u30af\u30ea\u30fc\u30cb\u30f3\u30b0:<\/strong> \u6a5f\u68b0\u5b66\u7fd2\u3068\u4eba\u5de5\u77e5\u80fd\u306e\u9032\u6b69\u306b\u3088\u308a\u3001\u30c7\u30fc\u30bf \u30af\u30ea\u30fc\u30cb\u30f3\u30b0 \u30d7\u30ed\u30bb\u30b9\u304c\u3055\u3089\u306b\u81ea\u52d5\u5316\u3055\u308c\u3001\u624b\u4f5c\u696d\u304c\u524a\u6e1b\u3055\u308c\u307e\u3059\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u30d3\u30c3\u30b0\u30c7\u30fc\u30bf\u306e\u6539\u3056\u3093:<\/strong> \u30c7\u30fc\u30bf\u306e\u6025\u6fc0\u306a\u5897\u52a0\u306b\u4f34\u3044\u3001\u5927\u898f\u6a21\u306a\u30c7\u30fc\u30bf\u306e\u66f8\u304d\u63db\u3048\u3092\u52b9\u7387\u7684\u306b\u51e6\u7406\u3059\u308b\u305f\u3081\u306e\u7279\u6b8a\u306a\u6280\u8853\u3084\u30c4\u30fc\u30eb\u304c\u958b\u767a\u3055\u308c\u308b\u3067\u3057\u3087\u3046\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u30a4\u30f3\u30c6\u30ea\u30b8\u30a7\u30f3\u30c8\u306a\u30c7\u30fc\u30bf\u7d71\u5408:<\/strong> \u3055\u307e\u3056\u307e\u306a\u7570\u7a2e\u30bd\u30fc\u30b9\u304b\u3089\u306e\u30c7\u30fc\u30bf\u3092\u30b7\u30fc\u30e0\u30ec\u30b9\u306b\u7d71\u5408\u304a\u3088\u3073\u8abf\u6574\u3059\u308b\u305f\u3081\u306e\u30a4\u30f3\u30c6\u30ea\u30b8\u30a7\u30f3\u30c8\u306a\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u304c\u958b\u767a\u3055\u308c\u307e\u3059\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u30c7\u30fc\u30bf\u306e\u30d0\u30fc\u30b8\u30e7\u30f3\u7ba1\u7406:<\/strong> \u30c7\u30fc\u30bf\u306e\u30d0\u30fc\u30b8\u30e7\u30f3\u7ba1\u7406\u30b7\u30b9\u30c6\u30e0\u306f\u3055\u3089\u306b\u666e\u53ca\u3057\u3001\u30c7\u30fc\u30bf\u5909\u66f4\u306e\u52b9\u7387\u7684\u306a\u8ffd\u8de1\u304c\u53ef\u80fd\u306b\u306a\u308a\u3001\u518d\u73fe\u53ef\u80fd\u306a\u7814\u7a76\u304c\u5bb9\u6613\u306b\u306a\u308a\u307e\u3059\u3002<\/p>\n<\/li>\n<\/ol>\n<h2>\u30d7\u30ed\u30ad\u30b7 \u30b5\u30fc\u30d0\u30fc\u3092\u4f7f\u7528\u3059\u308b\u65b9\u6cd5\u3001\u307e\u305f\u306f\u30c7\u30fc\u30bf\u30de\u30f3\u30b8\u30f3\u30b0\u306b\u95a2\u9023\u4ed8\u3051\u308b\u65b9\u6cd5\u3002<\/h2>\n<p>\u30d7\u30ed\u30ad\u30b7 \u30b5\u30fc\u30d0\u30fc\u306f\u3001\u7279\u306b Web \u30c7\u30fc\u30bf\u3084 API \u3092\u6271\u3046\u5834\u5408\u3001\u30c7\u30fc\u30bf\u6539\u5909\u30d7\u30ed\u30bb\u30b9\u306b\u304a\u3044\u3066\u91cd\u8981\u306a\u5f79\u5272\u3092\u679c\u305f\u3057\u307e\u3059\u3002\u30d7\u30ed\u30ad\u30b7 \u30b5\u30fc\u30d0\u30fc\u304c\u30c7\u30fc\u30bf\u5909\u66f4\u306b\u95a2\u9023\u4ed8\u3051\u3089\u308c\u308b\u65b9\u6cd5\u3092\u3044\u304f\u3064\u304b\u793a\u3057\u307e\u3059\u3002<\/p>\n<ol>\n<li>\n<p><strong>\u30a6\u30a7\u30d6\u30b9\u30af\u30ec\u30a4\u30d4\u30f3\u30b0:<\/strong> \u30d7\u30ed\u30ad\u30b7 \u30b5\u30fc\u30d0\u30fc\u3092\u4f7f\u7528\u3059\u308b\u3068\u3001Web \u30b9\u30af\u30ec\u30a4\u30d4\u30f3\u30b0 \u30bf\u30b9\u30af\u4e2d\u306b IP \u30a2\u30c9\u30ec\u30b9\u3092\u30ed\u30fc\u30c6\u30fc\u30b7\u30e7\u30f3\u3057\u3066\u3001IP \u30d6\u30ed\u30c3\u30af\u3092\u56de\u907f\u3057\u3001\u7d99\u7d9a\u7684\u306a\u30c7\u30fc\u30bf\u53ce\u96c6\u3092\u78ba\u4fdd\u3067\u304d\u307e\u3059\u3002<\/p>\n<\/li>\n<li>\n<p><strong>API \u30ea\u30af\u30a8\u30b9\u30c8:<\/strong> \u30ec\u30fc\u30c8\u5236\u9650\u306e\u3042\u308b API \u306b\u30a2\u30af\u30bb\u30b9\u3059\u308b\u5834\u5408\u3001\u30d7\u30ed\u30ad\u30b7 \u30b5\u30fc\u30d0\u30fc\u3092\u4f7f\u7528\u3059\u308b\u3068\u3001\u30ea\u30af\u30a8\u30b9\u30c8\u3092\u3055\u307e\u3056\u307e\u306a IP \u30a2\u30c9\u30ec\u30b9\u306b\u5206\u6563\u3057\u3001\u30ea\u30af\u30a8\u30b9\u30c8\u306e\u30b9\u30ed\u30c3\u30c8\u30ea\u30f3\u30b0\u3092\u9632\u3050\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u533f\u540d\uff1a<\/strong> \u30d7\u30ed\u30ad\u30b7 \u30b5\u30fc\u30d0\u30fc\u306f\u533f\u540d\u6027\u3092\u63d0\u4f9b\u3059\u308b\u305f\u3081\u3001\u7279\u5b9a\u306e\u5730\u57df\u307e\u305f\u306f IP \u30a2\u30c9\u30ec\u30b9\u306b\u5236\u9650\u3092\u8ab2\u3059\u30bd\u30fc\u30b9\u304b\u3089\u306e\u30c7\u30fc\u30bf\u306b\u30a2\u30af\u30bb\u30b9\u3059\u308b\u5834\u5408\u306b\u5f79\u7acb\u3061\u307e\u3059\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u30c7\u30fc\u30bf\u306e\u30d7\u30e9\u30a4\u30d0\u30b7\u30fc\uff1a<\/strong> \u30d7\u30ed\u30ad\u30b7 \u30b5\u30fc\u30d0\u30fc\u3092\u4f7f\u7528\u3059\u308b\u3068\u3001\u30c7\u30fc\u30bf\u7d71\u5408\u30d7\u30ed\u30bb\u30b9\u4e2d\u306b\u30c7\u30fc\u30bf\u3092\u533f\u540d\u5316\u3057\u3001\u30c7\u30fc\u30bf\u306e\u30d7\u30e9\u30a4\u30d0\u30b7\u30fc\u3068\u30bb\u30ad\u30e5\u30ea\u30c6\u30a3\u3092\u5f37\u5316\u3059\u308b\u3053\u3068\u3082\u3067\u304d\u307e\u3059\u3002<\/p>\n<\/li>\n<\/ol>\n<h2>\u95a2\u9023\u30ea\u30f3\u30af<\/h2>\n<p>\u30c7\u30fc\u30bf\u30de\u30f3\u30b8\u30f3\u30b0\u306e\u8a73\u7d30\u306b\u3064\u3044\u3066\u306f\u3001\u6b21\u306e\u30ea\u30bd\u30fc\u30b9\u3092\u53c2\u7167\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/p>\n<ol>\n<li><a href=\"https:\/\/www.datasciencecentral.com\/profiles\/blogs\/data-cleaning-a-vital-step-in-the-data-analysis-process\" target=\"_new\" rel=\"noopener nofollow\">\u30c7\u30fc\u30bf\u30af\u30ea\u30fc\u30cb\u30f3\u30b0: \u30c7\u30fc\u30bf\u5206\u6790\u30d7\u30ed\u30bb\u30b9\u306b\u304a\u3051\u308b\u91cd\u8981\u306a\u30b9\u30c6\u30c3\u30d7<\/a><\/li>\n<li><a href=\"https:\/\/towardsdatascience.com\/introduction-to-feature-engineering-7bf99a69b72b\" target=\"_new\" rel=\"noopener nofollow\">\u7279\u5fb4\u30a8\u30f3\u30b8\u30cb\u30a2\u30ea\u30f3\u30b0\u306e\u6982\u8981<\/a><\/li>\n<li><a href=\"https:\/\/towardsdatascience.com\/data-wrangling-with-python-cleaning-and-prepping-data-for-analysis-78f2e7183776\" target=\"_new\" rel=\"noopener nofollow\">Python \u3092\u4f7f\u7528\u3057\u305f\u30c7\u30fc\u30bf \u30e9\u30f3\u30b0\u30ea\u30f3\u30b0<\/a><\/li>\n<\/ol>\n<p>\u7d50\u8ad6\u3068\u3057\u3066\u3001\u30c7\u30fc\u30bf\u6539\u3056\u3093\u306f\u30c7\u30fc\u30bf\u5206\u6790\u30ef\u30fc\u30af\u30d5\u30ed\u30fc\u306b\u304a\u3044\u3066\u4e0d\u53ef\u6b20\u306a\u30d7\u30ed\u30bb\u30b9\u3067\u3042\u308a\u3001\u7d44\u7e54\u304c\u60c5\u5831\u306b\u57fa\u3065\u3044\u305f\u610f\u601d\u6c7a\u5b9a\u3092\u884c\u3046\u305f\u3081\u306b\u6b63\u78ba\u3067\u4fe1\u983c\u6027\u304c\u9ad8\u304f\u3001\u9069\u5207\u306b\u69cb\u9020\u5316\u3055\u308c\u305f\u30c7\u30fc\u30bf\u3092\u6d3b\u7528\u3067\u304d\u308b\u3088\u3046\u306b\u306a\u308a\u307e\u3059\u3002\u3055\u307e\u3056\u307e\u306a\u30c7\u30fc\u30bf\u6539\u5909\u624b\u6cd5\u3092\u63a1\u7528\u3059\u308b\u3053\u3068\u3067\u3001\u4f01\u696d\u306f\u30c7\u30fc\u30bf\u304b\u3089\u8cb4\u91cd\u306a\u6d1e\u5bdf\u3092\u5f15\u304d\u51fa\u3057\u3001\u30c7\u30fc\u30bf\u30c9\u30ea\u30d6\u30f3\u6642\u4ee3\u306e\u7af6\u4e89\u529b\u3092\u5f97\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/p>","protected":false},"featured_media":468125,"menu_order":0,"template":"","meta":{"_acf_changed":false,"content-type":"","inline_featured_image":false,"footnotes":""},"class_list":["post-476676","wiki","type-wiki","status-publish","has-post-thumbnail","hentry"],"acf":{"faq_title":"Frequently Asked Questions about <mark>Data Munging: A Comprehensive Guide<\/mark>","faq_items":[{"question":"What is Data Munging?","answer":"<p>Data munging, also known as data wrangling or data cleaning, is the process of transforming and preparing raw data to make it suitable for analysis. It involves cleaning, validating, formatting, and restructuring data so that it can be easily analyzed and used for various purposes.<\/p>"},{"question":"How did Data Munging originate?","answer":"<p>The concept of data munging has been around for decades, evolving with the advancement of computing technology and the increasing need for efficient data processing. The term \"mung\" originally comes from the word \"mung bean,\" which refers to a type of bean that requires considerable processing to be edible. This notion of processing raw material to make it usable is analogous to the process of data munging. Early mentions of data munging can be traced back to the 1980s and 1990s when researchers and data analysts sought ways to handle and preprocess large volumes of data for better analysis and decision-making.<\/p>"},{"question":"What does Data Munging involve?","answer":"<p>Data munging encompasses various tasks, including data cleaning, data transformation, data integration, feature engineering, data reduction, and data formatting. These tasks ensure that data is accurate, consistent, and in the right format for analysis.<\/p>"},{"question":"How does Data Munging work internally?","answer":"<p>Data munging is a multi-step process involving data collection, data inspection, data cleaning, data transformation, data integration, data validation, and data storage. Each step plays a crucial role in preparing the data for analysis and ensuring data quality.<\/p>"},{"question":"What are the key features of Data Munging?","answer":"<p>Data munging offers several key features, including improved data quality, enhanced data usability, time and resource efficiency, data consistency, and better decision-making based on reliable data.<\/p>"},{"question":"What are the different types of Data Munging?","answer":"<p>There are various types of data munging techniques, including data cleaning, data transformation, data integration, feature engineering, data reduction, and data formatting. Each type serves a specific purpose in preparing the data for analysis.<\/p>"},{"question":"What are the challenges related to Data Munging?","answer":"<p>Data munging comes with its challenges, such as handling missing data, dealing with outliers, data integration issues, data scaling, normalization, and feature selection. These challenges require careful consideration and appropriate techniques to address effectively.<\/p>"},{"question":"How does Data Munging relate to proxy servers?","answer":"<p>Proxy servers can be associated with data munging in various ways, especially when dealing with web data or APIs. They help with tasks like web scraping, API requests, anonymizing data, and enhancing data privacy during the data integration process.<\/p>"},{"question":"What are the future perspectives of Data Munging?","answer":"<p>The future of data munging looks promising with advancements in technology. Automated data cleaning, big data munging, intelligent data integration, and data versioning are some of the trends that will shape the future of data munging.<\/p>"},{"question":"Where can I find more information about Data Munging?","answer":"<p>For more in-depth information about Data Munging, you can explore the related links provided in the article. These resources offer valuable insights and practical tips for mastering data munging techniques.<\/p>"}]},"_links":{"self":[{"href":"https:\/\/oneproxy.pro\/jp\/wp-json\/wp\/v2\/wiki\/476676","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/oneproxy.pro\/jp\/wp-json\/wp\/v2\/wiki"}],"about":[{"href":"https:\/\/oneproxy.pro\/jp\/wp-json\/wp\/v2\/types\/wiki"}],"version-history":[{"count":0,"href":"https:\/\/oneproxy.pro\/jp\/wp-json\/wp\/v2\/wiki\/476676\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/oneproxy.pro\/jp\/wp-json\/wp\/v2\/media\/468125"}],"wp:attachment":[{"href":"https:\/\/oneproxy.pro\/jp\/wp-json\/wp\/v2\/media?parent=476676"}],"curies":[{"name":"\u3046\u30fc\u3093","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}