Data Analysis with Open Source Tools 2025 pdf epub mobi 电子书

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Data Analysis with Open Source Tools 2025 pdf epub mobi 电子书著者简介

Philipp K. Janert

After previous careers in physics and software development, Philipp K. Janert currently provides consulting services for data analysis, algorithm development, and mathematical modeling. He has worked for small start-ups and in large corporate environments, both in the U.S. and overseas. He prefers simple solutions that work to complicated ones that don't, and thinks that purpose is more important than process. Philipp is the author of "Gnuplot in Action - Understanding Data with Graphs" (Manning Publications), and has written for the O'Reilly Network, IBM developerWorks, and IEEE Software. He is named inventor on a handful of patents, and is an occasional contributor to CPAN. He holds a Ph.D. in theoretical physics from the University of Washington. Visit his company website at www.principal-value.com.

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发表于2025-01-13

Data Analysis with Open Source Tools 2025 pdf epub mobi 电子书

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Data Analysis with Open Source Tools 电子书读后感

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对于有一些数据分析经验的人来说，这本书读起来饶有风趣。作者主要通过实例展示通过分析数据我们可以了解什么信息，如何解释分析结果，以及在这过程之中会有什么陷阱，重点关注的是分析数据时的思想方法，但是对于实际操作的具体方法以及其深层的理论基础则只是简单带...

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1. 30页起Rank-Order Plots, Pareto Chart。由于引入了dependent variable，个人认为这种解决方案已经不属于单变量数据的可视化，应当放在第三章(双变量数据)中加以叙述。 2. 34页，关于标准差的定义公式有2个，其中第一个是正确的，而第二个则是错误的。

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书的理论性较强至少对我我这种不是学统计和学数学出身的人来讲很多分析和图例没有给出实际的操作过程。不是很推荐。感觉作者很专业，讲的也很系统，但是觉得并不是一个入门级的书要我写多少字才可以啊？

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出版者:O'Reilly Media

作者:Philipp K. Janert

出品人:

页数:540

译者:

出版时间:2010-11-25

价格:USD 39.99

装帧:Paperback

isbn号码:9780596802356

丛书系列:

图书标签: 数据分析数据挖掘 O'Reilly Data-Analysis Python opensource data 计算机

Data Analysis with Open Source Tools 2025 pdf epub mobi 电子书图书描述

Description

Real World Data Analysis shows you how you think about data and the results you want to achieve with it. Author Philipp Janert teaches you how to effectively approach data analysis problems, and how to extract all the available information from your data. Many people can apply a data analysis formula. This book shows you how to look at the results and know whether they're meaningful.

These days it seems like everyone is collecting data. But all of that data is just raw information -- to make that information meaningful, it has to be organized, filtered, and analyzed. Anyone can apply data analysis tools and get results, but without the right approach those results may be useless.

In Real World Data Analysis, author Philipp Janert teaches you how to think about data: how to effectively approach data analysis problems, and how to extract all of the available information from your data. Janert covers univariate data, data in multiple dimensions, time series data, graphical techniques, data mining, machine learning, and many other topics. He also reveals how seat-of-the-pants knowledge can lead you to the best approach right from the start, and how to assess results to determine if they're meaningful.

Data Analysis with Open Source Tools 2025 pdf epub mobi 电子书

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