Free Shipping Worldwide | Members get 10% extra.


Shipping & Delivery

Shipping Rates can ship to virtually any address in the world. Please check on this page for more information on costs and delivery times. Interested in free shipping? Learn about our FREE Shipping .

Shipping Method Delivery Estimate First Item Charge Each Aditional Item
Free! Standard 6-16 Days Free for order above $30 Free for order above $30
Standard 6-16 Days $ 7.00 $ 5.00
Trackable Expedited 4-6 Days $ 12.00 $ 8.00
Trackable Express 2-3 Days $ 30.00 $ 25.00

When my order will arrive?

It really depends on the item -- you can see the relevant info on its page. You'll get a email when your item has been shipped. can ship to virtually any address in the world. Once your order has been shipped, we offer the following times for delivery in business days (Mon-Fri):

Australia and New Zealand 7-12 business days
Middle East and Gulf 7-12 business days
Singapore & Hong Kong 7-10 business days
United Kingdom 7-10 business days
Europe 7-12 business days
USA and Canada 7-15 business days
South America 7-18 business days
All other countries 7-15 business days

Javascript and Jquery for Data Analysis and Visualization

Authors (s): Jon Raasch (Author) , Graham Murray (Author) , Vadim Ogievetsky (Author) , Joseph Lower (Author)
Format: Softcover
ISBN-13: 9788126554140
Pages: 476p.,
Series: Wiley Big Data Series ,
Pub. date: 09.07.2015, 1st. ed.
Publisher: Wiley India
Language (s): English
Bagchee ID: BB94660
List price: US $ 49,00
Bagchee price: US $ 44,10
You save: (10.00%)
Member price: US $ 39,69 info

Overview for Javascript and Jquery for Data Analysis and Visualization

JavaScript and jQuery for Data Analysis and Visualization shows web designers and developers how they can put the power and flexibility of modern JavaScript libraries to work to analyze data and then present it using best-of-breed visualizations. The author demonstrates the use of each technique with real-world use cases, showing how to apply the appropriate JavaScript and jQuery libraries to achieve the desired visualization. Upwards of 50 different coding tools will be incorporated, including a number of custom routines developed by the author.

Contents: Introduction. 1. The beauty of numbers made visible. 2. Working with Javascript for analysis. 3. Visualizing data programmatically. 4. Interactive analysis and visualization projects. Summary. Index.

Write your own review
  • There are no reviews yet. Be the first to write one