Which Big Data Best Seller are you reading?

Richie Lionell | Jun 12, 2015 | | | |


What kind of 'Big Data' books are customers buying? To find out, we restricted our search to Amazon - amazon.com, amazon.co.uk & amazon.in and the focus was on Hardcovers and Paperbacks.

Apart from the 'Title', 'Author' & 'Publisher' we were interested in the following information;

  1. Pages
  2. Price
  3. Best Seller Rank

The 'Amazon Best Seller Rank' or 'Sales Rank' (the smaller the number the better the sales) as it is known gives us an indication of the overall sales of the book. Mind you, this number has nothing to do with the reviews a book gets on Amazon. Though there are category and sub-category best seller lists we chose to stick with the 'All Books' option.

But not all books had all of the information we wanted and we had to filter out those that did not mention the 'Best Seller Rank' & the 'Price'.

At the time of writing , the following 'Big Data' books were the Best Sellers.



Data Science for Business: What you need to know about data mining and data-analytic thinking

by Foster Provost , Tom Fawcett

Publishers: O'Reilly Media

Price: USD 37.99

Best Sellers Rank: #2966



Big Data: Using Smart Big Data, Analytics and Metrics to Make Better Decisions and Improve Performance

by Bernard Marr

Publishers: John Wiley & Sons, Ltd.

Price: GBP 11.99

Best Sellers Rank: #4299



Big Data: A Revolution That Will Transform How We Live, Work and Think

by Viktor Mayer-Schonberger , Kenneth Cukier

Publishers: Hodder and Stoughton

Price: INR 225.0

Best Sellers Rank: #679


Buying Trends

The plot below is a collection of 'Big Data' books on amazon.com

Each bubble is a book.

Size of the bubble - 'Price' of the book

Color - Paperbacks & Hardcovers

X Axis - 'Amazon.com Best Seller Rank'

Y Axis - 'Number of pages'

Tap on a bubble to go to the product page.

Pages Amazon.com Best Sellers Rank 1,000,000 2,000,000 3,000,000 0 100 200 300 400 500 600

What kind of 'Big Data' books are customers buying?

  1. Reasonably priced books.

  2. Books connecting 'Big Data' & Business

  3. Data Science related books


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