Data Analysis with Open Source Tools pdf epub mobi txt 电子书 下载 2025
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.
- 数据分析
- 数据挖掘
- O'Reilly
- Data-Analysis
- Python
- opensource
- data
- 计算机
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.
具体描述
读后感
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...
评分Don’t let “data” get in the way of ethical decisions. The most important things in life can’t be measured. It is a fallacy to believe that, just because something can’t be measured, it doesn’t matter or doesn’t even exist. And a pretty tragic fallacy...
评分Don’t let “data” get in the way of ethical decisions. The most important things in life can’t be measured. It is a fallacy to believe that, just because something can’t be measured, it doesn’t matter or doesn’t even exist. And a pretty tragic fallacy...
评分书的理论性较强 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？
评分不得不说本书的翻译不敢让人恭维。拿到书后粗略翻了翻，翻译的水平勉强达到“信达雅”中的“信”吧，我想这本书应该是导师交给学生翻译的。不过买之前我已经做好心理准备：一来这个是技术书，不求文字的华丽；二来我已经有pdf的电子版，买这本中文版的目的是加快阅读。 所以，...
用户评价
适合新手数据分析
评分比较high-level的入门书，很好懂，理论以“都介绍一点”为主，每章也列出可以用来做这章里讲到的东西的python和R的libraries。缺点是实战例子不多。
评分Author keeps placing emphasis on insights instead of numbers while working with data. The ultimate goal of data analysis is to understand how the system works, not to show off how proficient you are at Math. That's the true spirit of professionalism. Some annoying jargon are well explained in a plain manner. Little sections on R.
评分比较浅显，入门不错
评分http://www.itpub.net/viewthread.php?tid=1474225
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