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Julia Cookbook

You're reading from   Julia Cookbook Over 40 recipes to get you up and running with programming using Julia

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Product type Paperback
Published in Sep 2016
Publisher
ISBN-13 9781785882012
Length 172 pages
Edition 1st Edition
Languages
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Authors (2):
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Raj R Jalem Raj R Jalem
Author Profile Icon Raj R Jalem
Raj R Jalem
Jalem Raj Rohit Jalem Raj Rohit
Author Profile Icon Jalem Raj Rohit
Jalem Raj Rohit
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Toc

Introduction


In this chapter, you will learn how to visualize and present data and analyze the findings from the data science approach you have adopted to solve a particular problem. There are various types of visualization to display your findings: bar plots, the scatter plots, pie charts, and so on, and it is very important to choose an appropriate method that can reflect your findings and work in a sensible and an aesthetically pleasing manner.

Importance of visualizations and reporting in data science:

Visualization is the art of displaying quantitative information in a sensible, legible, and aesthetically pleasing way. It consists of plotting quantitative information in the form of various graphs as well as putting forward or compiling the analyses and the results in a precise and a legible report.

Visualizations and reporting should always be done in such a way that the person or the group to whom they are being presented to should be able to follow and appreciate it with minimal background...

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