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The Elements of Data Analytic Style

3.65  ·  Rating details ·  162 ratings  ·  27 reviews
Data analysis is at least as much art as it is science. This book is focused on the details of data analysis that sometimes fall through the cracks in traditional statistics classes and textbooks. It is based in part on the authors blog posts, lecture materials, and tutorials. The author is one of the co-developers of the Johns Hopkins Specialization in Data Science the ...more
Kindle Edition, 75 pages
Published March 1st 2015
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Nina Hamza
Mar 08, 2018 rated it really liked it
Quick read, filled with best practises (do's and don't when analysing and presenting data). Very succinct and will likely refer to it time and time again.
Aug 09, 2018 rated it really liked it
A simple, comprehensive and basic statistical book, mainly on R.
Oleg Bulygin
Nov 06, 2017 rated it really liked it
Очень сжатое и лаконичное описание видов анализа данных с базовыми советами и указанием типовых ошибок. Подойдет новичкам для начального знакомства с темой. Бесплатно (или с пожертвованием) можно получить здесь:
Thiago B-b
Jul 07, 2016 rated it really liked it
Nice small book. Very well structured. But small.
John  Mihelic
Jul 29, 2018 rated it really liked it
Taking off from Strunk and White, Leek develops here a handbook for the user of data.

It is a good introduction for someone who is just really diving into thinking about using and presenting data as a thing in itself. Good data and its presentation is a rhetorical tool that is often under-thought. I will surely be using this as a reference book in the future.
Jared Knowles
Jun 26, 2017 rated it did not like it
Perhaps useful if this is your first course in data analysis, but not useful for anything but the most beginner starting out. Lack of good examples, strange unexplained discipline specific jargon, and overly broad advice that rarely goes beyond obvious. Was hoping this could be a useful resource to build team norms and goals around, but it is not
Saurabh Bharti
Sep 02, 2019 rated it it was amazing
A very lucid guide which act as a prerequisite for a deep driven analysis of a problem in hand and make yourself less vulnerable of some problems which you may fall into while analysis and can yield very of the line results.
Javad Ebadi
Feb 14, 2018 rated it liked it
It is a good book, but once you read it then you may not need it anymore.
Nov 26, 2018 rated it liked it
I didn't really need this book, but I enjoyed the read.
Jun 23, 2017 rated it liked it
Shelves: computers
A nice checklist of important points. Good as a source but could use some more detail.
Hang Miranda
Mar 06, 2019 rated it really liked it
Good Introduction
Mar 05, 2019 rated it really liked it
Shelves: non-fiction
Good summary of best practices and recommendations with links to more information. I will certainly keep this handy and revisit when working on data analysis.
Aug 14, 2019 rated it really liked it
Shelves: 2019_read
A quick read to give an overview of the best practices.
May 05, 2016 rated it really liked it
A concise introdution and instructions about all stages of data analysis. Each topic can be expanded into a much more deep communication but the suggestions mentioned are very practical. I think it's a good starting point if you're a new-comer to data analysis. And it would be helpful to frequently look it up when you're doing the process to make sure you're on the right track.
Jan 17, 2016 rated it liked it
This was a decent overview to data science, although in some places it assumes knowledge that the reader might not actually have. I think this could become an important reference for someone going further in data science, but I'm not so sure that it shouldn't be revised to be more self-explanatory for beginners.
Apr 02, 2015 rated it really liked it
Read this from a Data Viz/Tableau PoV, extremely interesting to see how statisticians/academics approach Visual Data Analysis. Small, concise, wish it went into a bit more detail with examples, but I guess there are plenty of other books that do that.
Mar 04, 2015 rated it really liked it
Principles of data analysis in the format of The Elements of Style. Short yet comprehensive guide.
Jun 22, 2015 rated it really liked it
Very helpful for what it is, and what it is intended to be -- an extremely concise and pragmatic quick reference, with plenty of helpful pointers to other sources of information for more depth. A very useful companion to the JHU data science courses as well.
Oct 30, 2015 rated it liked it
Helpful guide to know how to create a data analisys.
It just shows the main points to take care of, even a chapter on how to do presentations of data analitics.

It has lots of links to more specific reads.
Mar 20, 2016 rated it really liked it
Shelves: data-science
Very short, shallow book, but useful as a comprehensive check-list for do's and don'ts in data analysis.
Hugo Guillén
Jan 25, 2016 rated it liked it
This is a neat introduction to the data analysis field, sadly, the scope is too broad to contribute meaningful information in just 100 pages.
Mar 14, 2016 rated it liked it
Shelves: data-stats, 2016-read
Nice short list of good habits to have when analysing and reporting data.
Alex  Joseph
Sep 20, 2015 rated it it was amazing
Excellent quick review of the basics of data analysis. No fluff - Almost a cheat sheet for you to browse through!
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Ammar Lakis
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Sep 16, 2015
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Sep 11, 2018
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