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零基础入门Python数据分析,只需要看懂这一张图,附下载链接!

2019-05-07  本文已影响0人  14e61d025165

摘要

在做数据分析的过程中,经常会想数据分析到底是什么?为什么要做数据数据分析?数据分析到底该怎么做?等这些问题。对于这些问题,一开始也只是有个很笼统的认识。

最近这两天,读了一下早就被很多人推荐的《谁说菜鸟不会数据分析》这本书。发现对这些问题讲的还是比较透彻,随后对这本书的核心内容做了一个笔记。

说明:笔记主要以思维导图的方式呈现。

目录

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一、数据分析概述

数据分析指用适当的统计分析方法对收集来的大量数据进行分析,将它们加以汇总和理解并消化,以求最大化地开发数据的功能,发挥数据的作用。

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二、确定分析目的和思路

主要讲数据分析的方法论,如何利用管理学、营销学等知识从宏观上指导数据分析的过程,为的是明确分析的目的和思路,以免南辕北辙,分析了很久却不能解决要面临的问题。

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其中PEST用于对行业的宏观环境分析,5W2H可以用于用户的行为、业务问题分析、逻辑树可以将某业务问题拆分为子问题进行专题分析、4P是一种营销理论,用来信进行公司产品的运营情况分析、用户行为分析可以用来分析各级指标之间的逻辑关系。

三、如何准备数据

“巧妇难为无米之炊”。数据就好比谚语中的米。做为数据分析师更是应该知道“米”的两个方面。第一:“米的构造”「理解数据」,第二“米”从哪里「数据来源」。

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四、数据预处理

在做数据分析之前需要将数据清洗、加工、转换等一些步骤以使得数据成为可以用于建模分析的规整数据。

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五、数据分析方法(微观)

当完成数据的处理之后,现在需要真正的从细节上对数据进行分析,并且在微观上也有一套比较固定的数据分析方法可供参考使用。

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六、可视化图表及美化

当数据分析的工作完成之后,需要对分析结果进行可视化展示及美化。

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七、数据分析报告

数据分析报告是对整个数据分析过程的一个总结和呈现。通过报告,把数据分析的起因、过程、及结果完整的展现出来、提供给决策者参考。

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八、总结

以上是对整本书做的一个核心内容精炼,并生成了完整版思维导图及内容的PDF版本。由于长图过大,利用动图展示:

完整版内容gif:

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<input class="pgc-img-caption-ipt" placeholder="图片描述(最多50字)" value="" style="box-sizing: border-box; outline: 0px; color: rgb(102, 102, 102); position: absolute; left: 187.5px; transform: translateX(-50%); padding: 6px 7px; max-width: 100%; width: 375px; text-align: center; cursor: text; font-size: 12px; line-height: 1.5; background-color: rgb(255, 255, 255); background-image: none; border: 0px solid rgb(217, 217, 217); border-radius: 4px; transition: all 0.2s cubic-bezier(0.645, 0.045, 0.355, 1) 0s;"></tt-image>

完整版思维导图gif:

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以上Pdf内容及完整版思维导图获取:

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