EMIS/DS 1300: A Practical Introduction to Data Science Data Visualization Slides by Michael Hahsler
Important Components of Visualization ● Symbols : Circles, dots, lines, bars, ... ● Position : Axes and the origin (0/0) are important. ● Size/Area : Should only be used if it faithfully represents information. ● Color: One color should not overpower another. ● Angle: Human eyes are not good at comparing angles. ● All components of the plot need to convey information. E.g., don’t use color just to make it more colorful.
Data Visualization Infoviz is a field of its own. Eat fruits fruits when when Eat they are in they are in season!!! season!!!
Do you notice the slight flaw? Do you notice the slight flaw?
Tools - Popularity Rexer Analytics 2015 n = 1,220 analytic professionals http://www.rexeranalytics.com/Data-Miner-Survey-2015-Intro.html https://www.kdnuggets.com/2018/05/poll-tools-analytics-data-science-machine-learning-results.html
The map of Napoleon's Russian campaign Created by M. Minard, Inspector General of Bridges and Roads (retired). Paris, November 20, 1869.
Fox News – 2012 presidential race
Is this pie a pie chart?
You could use a bar chart instead
Sky News – Average UK life expectancy
UK Life Expectancy (axes)
Axes
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