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
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？
评分我统计学没学扎实的还有点搞不懂里面的说的那些理论，上网搜索英文的的更是很难搞懂了，加上里面的里面例子有没有提供数据来源，没有告诉图形是怎么做出来的，所以书的内容和标题有点南辕北辙啊。 但是作者提供了一种系统的思路的做数据分析，这可以提供一些思路去学习更细节的...
评分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。
评分我统计学没学扎实的还有点搞不懂里面的说的那些理论，上网搜索英文的的更是很难搞懂了，加上里面的里面例子有没有提供数据来源，没有告诉图形是怎么做出来的，所以书的内容和标题有点南辕北辙啊。 但是作者提供了一种系统的思路的做数据分析，这可以提供一些思路去学习更细节的...
评分我统计学没学扎实的还有点搞不懂里面的说的那些理论，上网搜索英文的的更是很难搞懂了，加上里面的里面例子有没有提供数据来源，没有告诉图形是怎么做出来的，所以书的内容和标题有点南辕北辙啊。 但是作者提供了一种系统的思路的做数据分析，这可以提供一些思路去学习更细节的...
用户评价
这本书都是在介绍经验，虽然有时候有些偏激但总体来说真的不错。适合有统计基础的人看，不适合新手。
评分这本书是好书，在读。
评分其实我觉得70%都是在讲概率和应用数学……我是走错片场了么？(Update: 我的确走错片场了，看完了发现它想要告诉我全部细节，结果就是神马都是重点，抓狂了……)
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.
评分这本书是好书，在读。
相关图书
本站所有内容均为互联网搜索引擎提供的公开搜索信息，本站不存储任何数据与内容，任何内容与数据均与本站无关，如有需要请联系相关搜索引擎包括但不限于百度，google,bing,sogou 等
© 2025 qciss.net All Rights Reserved. 小哈图书下载中心 版权所有