Data Visualization For Dummies® by Mico Yuk & Stephanie Diamond
Author:Mico Yuk & Stephanie Diamond
Language: eng
Format: epub
ISBN: 9781118502891
Published: 2013-12-24T10:42:10+00:00
To have a little more fun viewing bad data visualizations, visit one of my favorite sites at http://wtfviz.net.
Visual fits the data
The visual has to fit the data. (See Chapter 4 for information about choosing effective charts.) Visuals are more than just charts, however, and certain visuals just don't fit certain data. Usually, you can present data in multiple ways. Your job is to find the most effective way to do so.
You should never use a pie chart, for example, to show data with more than five data points or to display any data set with little to no variation in magnitude. Similarly, you should never use a table or scorecard to show a trend over time. Chapter 14 covers the challenge of choosing the right visual and other pitfalls of data visualizations.
Figure 9-3 shows two visualizations that chart the same data. The line chart at the top is the best option for showing the Sales Margin trend in 2014, because it makes it blatantly clear that the company's expenses are soaring way above its profits. The column chart at the bottom doesn't convey that trend as clearly. Column charts are best used to compare items.
Figure 9-3: The line chart is the better representation of this data.
Download
This site does not store any files on its server. We only index and link to content provided by other sites. Please contact the content providers to delete copyright contents if any and email us, we'll remove relevant links or contents immediately.
Secrets of the JavaScript Ninja by John Resig Bear Bibeault(5933)
Linux Device Driver Development Cookbook by Rodolfo Giometti(3334)
Implementing Enterprise Observability for Success by Manisha Agrawal and Karun Krishnannair(2742)
TCP IP by Todd Lammle(2615)
Drawing Shortcuts: Developing Quick Drawing Skills Using Today's Technology by Leggitt Jim(2516)
Pandas Cookbook by Theodore Petrou(2488)
Applied Predictive Modeling by Max Kuhn & Kjell Johnson(2460)
Learn Qt 5: Build modern, responsive cross-platform desktop applications with Qt, C++, and QML by Nicholas Sherriff(2166)
40 Algorithms Every Programmer Should Know by Imran Ahmad(2099)
Design Made Easy with Inkscape by Christopher Rogers(2024)
Supercharging Productivity with Trello by Brittany Joiner(2011)
Fusion 360 for Makers by Lydia Sloan Cline(1977)
The Artificial Intelligence Imperative by Anastassia Lauterbach(1834)
Build Stunning Real-time VFX with Unreal Engine 5 by Hrishikesh Andurlekar(1813)
The Old New Thing by Raymond Chen(1710)
Mastering Tableau 2023 - Fourth Edition by Marleen Meier(1710)
Mastering Python Scientific Computing by Hemant Kumar Mehta(1702)
Customizing Microsoft Teams by Gopi Kondameda(1645)
Inkscape by Example by István Szép(1616)