Reviews
On Aug 13 Boanerges Aleman-Meza wrote: Data Analysis with Open Source Tools (Book Review)
Summary: Data Analysis with Open Source Tools is a reference book that explains in detail the many ways to make sense of data. You will find ways to interpret data using statistics, plots, and mathematics. It also covers traditional data mining (simulation, clustering) and fun topics on modeling for making estimates. You… Full Review >
Rating:
5.0
On Jun 17 Hal Smith wrote: data analysis with open source tools - philipp janert
Data Analysis with Open Source Tools does a great job covering a lot of topics in way that balances theoretical explanations and practical demonstration. In keeping true to its title, a wealth of tools (and data sources) are identified and explored. Because the book offers a balance between explanation and… Full Review >
Rating:
5.0
On Jun 2 Rafael Flores wrote: An in-depth book on data analysis with graph tools
First of all I have to state clear that this book has “run over meâ€Â! It is a very good and comprehensive exercise by Mr Janert on how to produce “readable†graphs (read information) on top of massive data volumes, all with open source tools such as gnuplot, matplotlib, R, numpy, chaco, etc. Full Review >
Rating:
3.0
On May 3 Eder Andres Avila Nino wrote: Data Analysis with Professional Experience
If it is true that this book will not guide you to develop a data analysis tool with all the specific programming details of Python and R, it is also true that you will gain worthy professional experiences to design strategies, architectures and policies for data analysis. Full Review >
Rating:
4.0
On Apr 28 Matt Keranen wrote: Math heavy, in a good way
The author takes the approach of educating the reader on what is necessary to turn raw data into useful information or knowledge, then provides some example code "seeds" to get the reader started. If you are looking for detailed code example you can copy-and-paste into an interpreter and run, you will be left wanting. However, if you need to learn a foundation that can be utilized in multiple languages or platforms, this will be a useful tutorial and reference. Full Review >
Rating:
4.0
On Apr 7 Benjamin Osment wrote: Just what I was looking for
Although somewhat intermediate (and not for those that fear math) this is quite a solid book. It also makes me happy whenever I see Python or open source.
This book offers helpful ways of turning raw data into something useful.
This book is split into three parts:
1. Graphing
2. Modeling
3. Mining
4. Applications
Section 1 was a bit dry, as statistics often can be. Section 2 was also useful but I got the most value from section 3 and 4. Full Review >
Rating:
5.0
On Mar 12 Levon Lloyd wrote: Data Analysis with Open Source Tools By Philipp K. Janert
Data Analysis with Open Source Tools is an excellent primer for those who need an overview of the field of Data Analysis, along with pointers to some of the most popular free and open source tools.
The book does have it's short comings. Full Review >
Rating:
3.0
On Feb 20 Robert Diana wrote: Decent overview of data analysis
If you are expecting a book filled with examples of NoSQL databases like Hadoop and Cassandra, you are definitely going to be disappointed. The key with this book is to look at the cover. Data analysis is the main point of this book, and open source tools are really just a nice sidebar. The data analysis information is fairly solid and ranges from some basic methods, through statistics and eventually getting to some machine learning methods like clustering and categorization. The open source tools portions of the book are based on examples of the various analysis methods, but do not delve too deeply into how the tools work. Full Review >
Rating:
3.0
On Feb 3 Laurent Jacobs wrote: Great for hands-on readers
Whether analyzing data is part of your everyday job or one of your projects needs specific data analysis, the same questions arise: What tools are the most suited for the task? Which techniques are the most adapted? What are the numbers really saying? Are they meaningful? Full Review >
Rating:
4.0
On Jan 24 David Karapetyan wrote: "Data Analysis with Open Source Tools" book review
It starts a little slow with an enumeration of some graphical methods. The enumerative approach in the beginning chapters might work for some readers but it usually puts me to sleep so initially the reading was a little tough but I'm glad I stuck with it because the later… Full Review >
Rating:
5.0
On Jan 8 Shawn Day wrote: Simply Superb: Data Analysis in a BOx
Data Analysis with Open Source Tools by Philipp K Janert is a simply superb, solid and exhaustive synthesis of instruction, workshops and hands-on exercises designed for those serious about conducting professional data analysis. This is not a lightweight undertaking. This is a serious get-down-to-it and do-it-right kind of manual. The author (as has been mentioned elsewhere) is passionate about his subject and it shows. He knows how to convey the most complex concepts in an approachable and effective way. Full Review >
Rating:
5.0
On Jan 2 John Brady wrote: Data Analysis with Open Source Tools By Philipp K. Janert
Data Analysis with Open Source Tools is an excellent book for experienced analysts of data. The author is obviously enthusiastic about his topic and presents the information in a lucid, readable format. The book is not, however, a cookbook, or step-by-step guide to using a tool or suite for delving… Full Review >
Rating:
4.0
On Dec 27 Kiatikun Luangkesorn wrote: Book Review: Data Analysis with Open Source Tools by Philipp Janert
Data Analysis with Open Source Tools by Philipp K JanertMy rating: 5 of 5 starsThis is a book that is how to think about data analysis, not only how to perform data analysis. Like a good data analysis, Janert's book is about insight and comprehension, not computation. And because of… Full Review >
Rating:
5.0
