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Big Data Visualization

Big Data Visualization

By : James D. Miller
2 (1)
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Big Data Visualization

Big Data Visualization

2 (1)
By: James D. Miller

Overview of this book

Gain valuable insight into big data analytics with this book. Covering the tools you need to analyse data, together with IBM certified expert James Miller?s insight, this book is the key to data visualization success. ? Learn the tools & techniques to process big data for efficient data visualization ? Packed with insightful real-world use cases ? Addresses the difficulties faced by professionals in the field of big data analytics
Table of Contents (9 chapters)
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Conventions

In this book, you will find a number of text styles that distinguish between different kinds of information. Here are some examples of these styles and an explanation of their meaning.

Code words in text, database table names, folder names, filenames, file extensions, pathnames, dummy URLs, user input, and Twitter handles are shown as follows: "The next lines of code reads the link and assigns it to the to the BeautifulSoup function."

A block of code is set as follows:

for row in reader: 
         if (row['Denomination']) == 'Penny': 
            if int(row['Coin-in'])<2000: 
                x += int(row['Coin-in']) 
            row_count += 1

When we wish to draw your attention to a particular part of a code block, the relevant lines or items are set in bold:

row_count = 0 
     aver_coin_in = 0.0 
     x = 0.0 
     y = 999 
     z = 0.0

New terms and important words are shown in bold. Words that you see on the screen, for example, in menus or dialog boxes, appear in the text like this: "In order to download new modules, we will go to FilesSettings | Project Name | Project Interpreter."

Note

Warnings or important notes appear in a box like this.

Tip

Tips and tricks appear like this.

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Change the font size

margin-width

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