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Big Data Visualization

You're reading from   Big Data Visualization Bring scalability and dynamics to your Big Data visualization

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Product type Paperback
Published in Feb 2017
Publisher Packt
ISBN-13 9781785281945
Length 304 pages
Edition 1st Edition
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Author (1):
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James D. Miller James D. Miller
Author Profile Icon James D. Miller
James D. Miller
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Toc

Log files and Excel


Let's consider a somewhat realistic use case where you have been provided a number of modified web log files that you want to create some visualizations from.

In Chapter 4, Addressing Big Data Quality, we will discuss data profiling (in regards to data quality), but for now, we'll assume that we know the following about our data files:

  • The files are of various sizes and somewhat unstructured.

  • The data in the files contain information logged by Internet users.

  • The data includes such things as computer IP addresses, a date, timestamp, and a web address/URL. There is more information in the files, but for our exercise here we really just want to create a graphical representation showing the number of times each web address was hit during each month (there are actually software packages that provide web statistics, but we'll suppose you don't have access to any of them).

The following is a sample transaction (record) from one of our files:

221.738.236 - - [15/Oct/2014:6:55:2] GET...
You have been reading a chapter from
Big Data Visualization
Published in: Feb 2017
Publisher: Packt
ISBN-13: 9781785281945
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