[{"_1":2,"_48":-5,"_49":-5},"loaderData",{"_3":4,"_10":11,"_46":-5,"_47":-5},"root",{"_5":-5,"_6":-5,"_7":-5,"_8":9},"user","shoppingCartId","toast","locale","en","routes/_store+/_readers+/email_author.$slug/route",{"_12":13,"_45":-5},"book",{"_14":15,"_16":17,"_18":19,"_20":21,"_22":23,"_24":25},"id","Z2lkOi8vbGVhbnB1Yi9TdG9yZTo6Qm9va1Byb2R1Y3QvNTU5OTA","title","The Elements of Data Analytic Style (简体中文版)","state","published","contactAuthorMethod","email","aboutText","

数据分析至少和艺术一样重要，就如同它是科学一样。这本书关注的是在传统的统计课程和教科书中有时会被忽视的数据分析细节。它部分基于作者的博客文章, 讲座资料和教程，例如：

作者是约翰·霍普金斯数据科学专业的联合开发者，这是全球最大的数据科学课程，已有超过176万人报名。这本书是数据科学或数据分析入门课程的好伙伴。对于负责阅读和评价数据分析的人来说，它也是一个有用的参考工具。

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