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        "description": "# \u6570\u636e\u6982\u89c8\u5de5\u5177\n\u5f53\u524d\u652f\u6301\u7684\u529f\u80fd\uff1a\u57fa\u4e8e`Pandas`\u7684DataFrame\uff0c\u751f\u6210\u8be5DataFrame\u7684\u8868\u548c\u5b57\u6bb5\u7c92\u5ea6\u6982\u89c8\uff0cHTML\u683c\u5f0f\u3002\n\n## \u5f53\u524d\u529f\u80fd\uff1a\n1. \u6570\u636e\u8868\u6982\u89c8\n    - \u6570\u636e\u8868\u884c\u6570\uff0c\u5217\u6570\uff0c\u5185\u5b58\u5927\u5c0f\n    - \u5404\u7c7b\u578b\u6570\u636e\u5b57\u6bb5\u6570\u91cf\n\n2. \u6570\u636e\u5b57\u6bb5\u6982\u89c8\n    - \u6bcf\u4e2a\u5b57\u6bb5\u7684\u7c7b\u578b\uff0c\u6570\u91cf\uff0c\u53bb\u91cd\u540e\u6570\u91cf\uff0c\u7f3a\u5931\u503c\u6570\u91cf\uff0c\u7f3a\u5931\u7387\u7b49\n\n3. \u6570\u636e\u5b57\u6bb5\u8be6\u60c5\n    - \u6bcf\u4e2a\u5b57\u6bb5\u7684\u8be6\u7ec6\u4fe1\u606f\n\n## \u5728\u7814\u529f\u80fd\uff1a\n1. \u5bfc\u51faexcel\u548ccsv\n2. \u5176\u4ed6\n\n## \u4f7f\u7528\u793a\u4f8b\uff1a\n\u53c2\u8003`data_overview/Usage.ipynb`\u6587\u4ef6\n```python\nimport pandas as pd\nimport data_overview as do # \u524d\u63d0\u662f\u5148\u8981\u6267\u884c\uff1apip install data_overview\u8fdb\u884c\u5b89\u88c5\n\n# \u8f7d\u5165\u6570\u636e\ndf = pd.read_csv(\"./data/test_data.csv\", encoding='gb18030')\n\n# \u7528\u6cd5\uff1a\u8f93\u5165df\uff0c\u53ef\u5bfc\u51fa\u6570\u636e\u6982\u89c8\ndfo = do.DataOverview(df)\ndfo.to_html(\"./data/report.html\") # \u5bfc\u51fa\u8def\u5f84\u548c\u547d\u540d\u81ea\u5b9a\u4e49\n```\n\n",
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