{"id":236037,"date":"2022-02-15T12:06:53","date_gmt":"2022-02-15T11:06:53","guid":{"rendered":"https:\/\/blog.jetbrains.com\/datagrip\/2022\/02\/15\/5-techniques-for-insightful-analytics-with-sql\/"},"modified":"2025-09-18T15:13:09","modified_gmt":"2025-09-18T14:13:09","slug":"5-techniques-for-insightful-analytics-with-sql","status":"publish","type":"datagrip","link":"https:\/\/blog.jetbrains.com\/zh-hans\/datagrip\/2022\/02\/15\/5-techniques-for-insightful-analytics-with-sql\/","title":{"rendered":"Datalore: \u4f7f\u7528 SQL \u8fdb\u884c\u6df1\u523b\u5206\u6790\u7684 5 \u79cd\u6280\u672f"},"content":{"rendered":"\n

DataGrip \u548c Datalore \u56e2\u961f\u5411\u60a8\u95ee\u597d\uff01<\/p>\n\n\n\n

\u60a8\u53ef\u80fd\u5df2\u7ecf\u4f7f\u7528 DataGrip \u6709\u4e00\u6bb5\u65f6\u95f4\u4e86\uff0c\u4e5f\u8bb8\u60a8\u5df2\u7ecf\u638c\u63e1\u4e86 SQL \u548c\u6570\u636e\u5e93\u3002 \u4f46\u662f\uff0c\u5982\u679c\u60a8\u7684\u6570\u636e\u6d1e\u89c1\u53ef\u4ee5\u5230\u8fbe\u66f4\u5e7f\u6cdb\u7684\u53d7\u4f17\uff0c\u5e76\u5e2e\u52a9\u60a8\u63a8\u52a8\u516c\u53f8\u7684\u53d1\u5c55\u5462\uff1f<\/p>\n\n\n\n

\u5982\u4eca\uff0c\u4eba\u4eec\u5bf9\u89c1\u89e3\u6df1\u523b\u7684\u5206\u6790<\/strong>\u6709\u5de8\u5927\u9700\u6c42\uff0c\u80fd\u591f\u8bb2\u8ff0\u5168\u9762\u6570\u636e\u6545\u4e8b\u7684\u4eba\u5728\u5e02\u573a\u4e0a\u975e\u5e38\u53d7\u91cd\u89c6\u3002<\/p>\n\n\n\n

\u9605\u8bfb\u8fd9\u7bc7\u535a\u6587\uff0c\u4e86\u89e3\u53ef\u4ee5\u7528\u6765\u63d0\u5347\u60a8\u7684 SQL \u5206\u6790\u6280\u80fd\u7684 5 \u79cd\u73b0\u4ee3\u6280\u672f\uff01<\/p>\n\n\n\n

1. \u5c06 SQL \u4e0e Python \u7ed3\u5408\u5728\u4e00\u4e2a\u754c\u9762\u4e2d<\/h2>\n\n\n\n

SQL \u975e\u5e38\u9002\u7528\u4e8e\u68c0\u7d22\u6570\u636e\u548c\u8ba1\u7b97\u57fa\u672c\u7edf\u8ba1\u6570\u636e\uff0c\u800c Python \u5728\u60a8\u9700\u8981\u6df1\u5165\u3001\u7075\u6d3b\u7684\u63a2\u7d22\u6027\u6570\u636e\u5206\u6790<\/strong>\u65f6\u5927\u6709\u7528\u6b66\u4e4b\u5730\u3002 \u5982\u679c\u60a8\u5728\u4e00\u4e2a\u5de5\u5177\u4e2d\u53ef\u540c\u65f6\u4f7f\u7528\u4e24\u79cd\u7f16\u7a0b\u8bed\u8a00\uff0c\u4f1a\u600e\u6837\uff1f<\/p>\n\n\n\n

\u5728 JetBrains\uff0c\u6211\u4eec\u5c06 DataGrip \u7684 SQL \u5f15\u64ce\u4e0e Datalore<\/a> \u7684\u4ea4\u4e92\u5f0f\u529f\u80fd\u76f8\u7ed3\u5408\uff0c\u5728 Python Notebook \u4e2d\u5f15\u5165\u4e86\u539f\u751f SQL \u652f\u6301\u3002<\/p>\n\n\n\n

\u73b0\u5728\uff0c\u60a8\u53ef\u4ee5\u76f4\u63a5\u5728 Datalore \u7684\u7f16\u8f91\u5668<\/a>\u4e2d\u6dfb\u52a0 SQL \u5355\u5143\uff0c\u5e76\u4ece SQL \u6570\u636e\u6e90\u67e5\u8be2\u6570\u636e\u3002 \u67e5\u8be2\u7ed3\u679c\u4f1a\u81ea\u52a8\u4f20\u8f93\u5230 pandas DataFrame\uff0c\u60a8\u53ef\u4ee5\u7ee7\u7eed\u5728 Python \u4e2d\u65e0\u9022\u5904\u7406\u6570\u636e\u96c6\u3002<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

Python \u6709\u51e0\u5341\u4e2a\u7528\u4e8e\u6570\u636e\u5206\u6790\u7684\u8f6f\u4ef6\u5305\u3002 \u5982\u679c\u60a8\u521a\u5165\u95e8\uff0c\u5efa\u8bae\u60a8\u4ece\u5b66\u4e60\u7528\u4e8e\u8868\u6570\u636e\u5206\u6790\u7684 pandas<\/a> \u548c\u7528\u4e8e\u5448\u73b0\u7cbe\u7f8e\u4ea4\u4e92\u5f0f\u53ef\u89c6\u5316\u6548\u679c\u7684 Plotly<\/a> \u5f00\u59cb\u3002<\/p>\n\n\n\n

\n \n \u5728Datalore\u4e2d\u6253\u5f00\u6559\u7a0b\n <\/a>\n<\/p>\n\n\n\n

Datalore Community<\/a> \u7528\u6237\u53ef\u4ee5\u83b7\u5f97 30 \u5929\u7684 SQL \u5355\u5143\u514d\u8d39\u8bd5\u7528\u3002 \u5bf9\u4e8e Professional \u548c Enterprise \u7528\u6237<\/a>\uff0c\u8be5\u529f\u80fd\u6ca1\u6709\u4efb\u4f55\u9650\u5236\u3002<\/em><\/p>\n\n\n\n

2. \u4f7f\u7528 Markdown \u63cf\u8ff0\u67e5\u8be2\u7ed3\u679c<\/h2>\n\n\n\n

\u60a8\u662f\u5426\u66fe\u7ecf\u56de\u5230\u4e00\u6bb5\u65f6\u95f4\u4e4b\u524d\u5199\u7684 SQL \u811a\u672c\uff0c\u5e76\u5fc3\u60f3\u201c\u6211\u5230\u5e95\u60f3\u5728\u8fd9\u91cc\u505a\u4ec0\u4e48\u201d\uff1f<\/p>\n\n\n\n

Datalore \u4e2d\u7684 Notebook <\/a>\u5c31\u50cf\u60a8\u7684\u4ee3\u7801\u7684 Google \u6587\u6863\u3002 \u60a8\u53ef\u4ee5\u6267\u884c SQL \u67e5\u8be2\uff0c\u4f7f\u7528\u6587\u672c\u3001\u56fe\u7247\u548c Markdown \u5f88\u597d\u5730\u8bb0\u5f55\u60a8\u7684\u4ee3\u7801\u548c\u8f93\u51fa\u3002 \u53ea\u9700\u6dfb\u52a0\u4e00\u4e2a\u65b0\u7684 Markdown \u5355\u5143\uff0c\u4f7f\u7528\u6807\u9898\u521b\u5efa\u4e00\u4e2a\u7ed3\u6784\uff0c\u5e76\u4f7f\u7528\u76ee\u5f55\u5728 Notebook \u4e2d\u5bfc\u822a\u3002<\/p>\n\n\n\n

\"\"\/<\/figure>\n\n\n\n

\u77a7\uff01 \u60a8\u83b7\u5f97\u4e86\u4e00\u4e2a\u5168\u9762\u7684\u6570\u636e\u6545\u4e8b\uff0c\u51e0\u4e4e\u5df2\u7ecf\u53ef\u4ee5\u5206\u4eab\u4e86\u2026<\/p>\n\n\n\n

3. \u4f7f\u7528\u7cbe\u7f8e\u7684\u56fe\u8868\u4e30\u5bcc\u67e5\u8be2\u7ed3\u679c<\/h2>\n\n\n\n

\u5728 Datalore \u4e2d\uff0c\u70b9\u51fb\u9f20\u6807\u5c31\u53ef\u4ee5\u53ef\u89c6\u5316\u67e5\u8be2\u7ed3\u679c\uff1a\u53ea\u9700\u70b9\u51fb SQL \u5355\u5143\u8f93\u51fa\u4e2d\u7684 Visualize<\/em>\uff08\u53ef\u89c6\u5316\uff09\u9009\u9879\u5361\uff0c\u5c31\u53ef\u4ee5\u5f97\u5230\u4e00\u5806\u5f00\u7bb1\u5373\u7528\u7684\u7ed8\u56fe\u9009\u9879\u3002 \u60a8\u53ef\u4ee5\u65e0\u7f1d\u8fc7\u6e21\u5230\u56fe\u8868\u5355\u5143\uff0c\u4ee5\u83b7\u5f97\u591a\u5c42\u6b21\u7684\u56fe\u548c\u5176\u4ed6\u9009\u9879\u3002<\/p>\n\n\n\n

\"\"\/<\/figure>\n\n\n\n

\u5982\u679c\u60a8\u60f3\u8fdb\u4e00\u6b65\u5b9a\u5236\u60a8\u7684\u53ef\u89c6\u5316\u6548\u679c\uff0c\u53ef\u4ee5\u5c06\u5176\u5bfc\u51fa\u5230 Python \u4ee3\u7801\u5355\u5143\uff0c\u6216\u8005\u60a8\u53ef\u4ee5\u4f7f\u7528\u9009\u62e9\u7684\u4efb\u4f55 Python \u8f6f\u4ef6\u5305\u4ece\u5934\u5f00\u59cb\u521b\u5efa\u53ef\u89c6\u5316\u6548\u679c\u3002<\/p>\n\n\n\n

\n \n \u5728Datalore\u4e2d\u5c1d\u8bd5\n <\/a>\n<\/p>\n\n\n\n

4. \u4e0e\u60a8\u7684\u56e2\u961f\u5b9e\u65f6\u534f\u4f5c\u5904\u7406 SQL \u67e5\u8be2<\/h2>\n\n\n\n

\u4e16\u754c\u4e0a\u8d8a\u6765\u8d8a\u591a\u7684\u4eba\u5f00\u59cb\u8fdc\u7a0b\u5de5\u4f5c\uff0c\u4ece\u60a8\u7684\u540c\u4e8b\u90a3\u91cc\u5f97\u5230\u9762\u5bf9\u9762\u5e2e\u52a9\u53d8\u5f97\u8d8a\u6765\u8d8a\u96be\u3002<\/p>\n\n\n\n

\u501f\u52a9 Datalore<\/a>\uff0c\u60a8\u548c\u60a8\u7684\u961f\u53cb\u53ef\u4ee5\u8df3\u5230\u540c\u4e00\u4e2a Notebook \u4e2d\uff0c\u4e00\u8d77\u5b9e\u65f6\u7f16\u8f91\u4ee3\u7801\uff01 <\/p>\n\n\n\n

\"\"\/<\/figure>\n\n\n\n

\u5171\u4eab Notebook \u975e\u5e38\u7b80\u5355 \u2013 \u60a8\u53ea\u9700\u8981\u53d1\u9001\u4e00\u4e2a\u94fe\u63a5\u6216\u7535\u5b50\u90ae\u4ef6\u9080\u8bf7\u3002 \u60a8\u8fd8\u53ef\u4ee5\u6307\u5b9a\u8bbf\u95ee\u6743\u9650\uff0c\u5141\u8bb8\u60a8\u7684\u961f\u53cb\u7f16\u8f91 Notebook \u6216\u53ea\u80fd\u67e5\u770b\u3002<\/p>\n\n\n\n

5. \u901a\u8fc7\u94fe\u63a5\u4ee5\u62a5\u544a\u5f62\u5f0f\u5171\u4eab\u7ed3\u679c<\/h2>\n\n\n\n

\u5171\u4eab SQL \u5206\u6790\u7ed3\u679c\u7684\u6700\u5e38\u89c1\u65b9\u5f0f\u662f\u4ec0\u4e48\uff1f \u5176\u4e2d\u53ef\u80fd\u5305\u62ec\u53d1\u9001\u5e26\u6709\u7ed3\u679c\u8868\u7684\u6d88\u606f\u3001\u521b\u5efa PowerPoint \u5e7b\u706f\u7247\uff0c\u6216\u5728\u7535\u5b50\u8868\u683c\u4e2d\u4f7f\u7528\u56fe\u8868\u5c55\u793a\u6570\u636e\u3002<\/p>\n\n\n\n

\u4f46\u6211\u4eec\u77e5\u9053\u53ef\u4ee5\u901a\u8fc7\u4e00\u79cd\u66f4\u6709\u6548\u7684\u65b9\u5f0f\u5171\u4eab\u60a8\u7684\u5206\u6790\u7ed3\u679c\u3002 \u60a8\u53ef\u4ee5\u5c06\u60a8\u7684 Notebook \u53d8\u6210\u62a5\u544a\u3002<\/p>\n\n\n\n

\u5728 Datalore \u4e2d\uff0c\u53ea\u9700\u70b9\u51fb Publish\uff08\u53d1\u5e03\uff09\u6309\u94ae\uff0cNotebook \u5c31\u4f1a\u53d8\u5f97\u901a\u8fc7\u94fe\u63a5\u53ef\u7528\uff0c\u751a\u81f3\u5bf9\u6ca1\u6709 Datalore \u5e10\u6237\u7684\u4eba\u4e5f\u662f\u5982\u6b64\u3002 \u60a8\u8fd8\u53ef\u4ee5\u9690\u85cf\u4efb\u4f55\u4e0d\u5fc5\u8981\u7684\u4ee3\u7801\uff0c\u4f7f\u60a8\u7684 Notebook \u770b\u8d77\u6765\u6574\u6d01\u3002<\/p>\n\n\n\n

\u73b0\u5728\uff0c\u60a8\u53ef\u4ee5\u5c06\u60a8\u5728\u8fd9\u91cc\u5b66\u5230\u7684\u6240\u6709\u63d0\u793a\u4ed8\u8bf8\u884c\u52a8\uff0c\u5206\u4eab\u4e00\u4e2a\u7cbe\u7f8e\u7684\u6570\u636e\u6545\u4e8b\u3002<\/p>\n\n\n\n

\u4ea4\u4e92\u5f0f\u62a5\u544a\u4ec5\u5728 Enterprise \u65b9\u6848<\/a>\u4e2d\u63d0\u4f9b\uff0c\u5982\u679c\u60a8\u60f3\u5728\u8d35\u516c\u53f8\u5c1d\u8bd5\u4ea4\u4e92\u5f0f\u62a5\u544a\uff0c\u8bf7\u7533\u8bf7\u8bd5\u7528\u3002<\/em><\/p>\n\n\n\n

\u770b\u770b\u5171\u4eab\u7684\u9759\u6001\u62a5\u544a\u662f\u4ec0\u4e48\u6837\u5b50\uff1a<\/p>\n\n\n\n

\n \n \u5728Datalore\u4e2d\u6253\u5f00\u9759\u6001\u62a5\u544a\n <\/a>\n<\/p>\n\n\n\n

\u60a8\u662f\u5426\u5f88\u60f3\u5c1d\u8bd5\u6240\u6709\u8fd9\u4e9b\u529f\u80fd\uff1f \u5982\u679c\u662f\u8fd9\u6837\uff0c\u8bf7\u6ce8\u518c Datalore Community<\/a>\uff0c\u4e00\u4e2a\u5b8c\u5168\u514d\u8d39\u7684\u7248\u672c\u3002\u5982\u679c\u60a8\u60f3\u5c06\u6570\u636e\u4fdd\u5b58\u5728\u672c\u5730\u90e8\u7f72\u73af\u5883\u4e2d\uff0c\u4e5f\u53ef\u4ee5\u8003\u8651\u4f7f\u7528 Datalore Enterprise<\/a>\u3002<\/p>\n\n\n\n

\u6211\u4eec\u5e0c\u671b\u8fd9\u4e9b\u63d0\u793a\u5bf9\u60a8\u6709\u7528\u3002 \u4e0d\u8981\u5fd8\u8bb0\u5728\u5173\u6ce8 JetBrains \u4e2d\u56fd\u5fae\u535a<\/a>\u548c\u5fae\u4fe1\u516c\u4f17\u53f7\uff08ID: JetBrainsChina\uff09\u6765\u83b7\u53d6\u66f4\u591a\u4fe1\u606f\uff01<\/p>\n\n\n\n

DataGrip \u548c Datalore \u56e2\u961f<\/p>\n\n\n\n

<\/p>\n\n\n\n

\u82f1\u6587\u535a\u6587\u539f\u4f5c\u8005\uff1a<\/p>\n\n\n

\n
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\n \"\"\n <\/div>\n
\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n","protected":false},"author":1297,"featured_media":234063,"comment_status":"closed","ping_status":"closed","template":"","categories":[89,2347],"tags":[91],"cross-post-tag":[],"acf":[],"_links":{"self":[{"href":"https:\/\/blog.jetbrains.com\/zh-hans\/wp-json\/wp\/v2\/datagrip\/236037"}],"collection":[{"href":"https:\/\/blog.jetbrains.com\/zh-hans\/wp-json\/wp\/v2\/datagrip"}],"about":[{"href":"https:\/\/blog.jetbrains.com\/zh-hans\/wp-json\/wp\/v2\/types\/datagrip"}],"author":[{"embeddable":true,"href":"https:\/\/blog.jetbrains.com\/zh-hans\/wp-json\/wp\/v2\/users\/1297"}],"replies":[{"embeddable":true,"href":"https:\/\/blog.jetbrains.com\/zh-hans\/wp-json\/wp\/v2\/comments?post=236037"}],"version-history":[{"count":9,"href":"https:\/\/blog.jetbrains.com\/zh-hans\/wp-json\/wp\/v2\/datagrip\/236037\/revisions"}],"predecessor-version":[{"id":633590,"href":"https:\/\/blog.jetbrains.com\/zh-hans\/wp-json\/wp\/v2\/datagrip\/236037\/revisions\/633590"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/blog.jetbrains.com\/zh-hans\/wp-json\/wp\/v2\/media\/234063"}],"wp:attachment":[{"href":"https:\/\/blog.jetbrains.com\/zh-hans\/wp-json\/wp\/v2\/media?parent=236037"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/blog.jetbrains.com\/zh-hans\/wp-json\/wp\/v2\/categories?post=236037"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/blog.jetbrains.com\/zh-hans\/wp-json\/wp\/v2\/tags?post=236037"},{"taxonomy":"cross-post-tag","embeddable":true,"href":"https:\/\/blog.jetbrains.com\/zh-hans\/wp-json\/wp\/v2\/cross-post-tag?post=236037"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}