The Good, the Bad, and the Ugly

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The Good, the Bad, and the Ugly Visualization Recitation 15.071x The Analytics Edge

Great Power, Great Responsibility There are many ways to visualize the same data. You have just seen how to make quite attractive visualizations with ggplot2, which has good default settings, but judgement is still required, e.g. do I vary the size, or do I vary the color? Excel, etc. can also be used to make perfectly acceptable visualizations or terrible ones. 15.071x The Good, the Bad, and the Ugly: Visualization Recitation 1

What is the difference? Good visualizations Clearly and accurately convey the key messages in the data Bad visualizations Obfuscate the data (either through ignorance, or malice!) 15.071x The Good, the Bad, and the Ugly: Visualization Recitation 2

What does this mean? Visualizations can be used by an analyst for their own consumption, to gain insights. Visualizations can also be used to provide information to a decision maker, and/or to convince someone. Bad visualizations hide patterns that could give insight, or mislead decision makers. 15.071x The Good, the Bad, and the Ugly: Visualization Recitation 3

Today We will look at some examples of visualizations taken from a variety of sources. We ll discuss what is good and bad about them We will switch in to R to build better versions ourselves. Think for yourself: ultimately subjective! 15.071x The Good, the Bad, and the Ugly: Visualization Recitation 4

Bad Visualizations? Source: http://www.forbes.com/sites/tomiogeron/2012/02/02/does-ios-crash-more-than-android-a-data-dive/ 15.071x The Good, the Bad, and the Ugly: Visualization Recitation 5

Bad Visualizations? Source: International Shark Attack File report 15.071x The Good, the Bad, and the Ugly: Visualization Recitation 6

Bad Visualization? Not all points can be labeled, so data is lost Colors are meaningless, are close enough to be a confusing, but are still needed to make it at all readable. 3D adds nothing, visible volume is larger than true share 15.071x The Good, the Bad, and the Ugly: Visualization Recitation 7

Better Visualization? All data is visible! Don t lose small regions. Can easily compare relative sizes Something to consider is that, for some people and applications, being not as visually exciting is a negative. 15.071x The Good, the Bad, and the Ugly: Visualization Recitation 9

On a World Map? Possible with this data, but still a bit tedious to create because we need to determine which countries lie in which region. Shading all countries in region the same color is misleading countries in, e.g. Latin America, will send students at different rates. We have access to per country data we will plot it on a world map and see if it is effective. 15.071x The Good, the Bad, and the Ugly: Visualization Recitation 10

Bad Scales Source: BBC 15.071x The Good, the Bad, and the Ugly: Visualization Recitation 12

Bad Scales Source: Fox News 15.071x The Good, the Bad, and the Ugly: Visualization Recitation 13

Bad Scales Caucasian bar is truncated would be as wide as this slide! Every bar has its own scale compare Native American to African American. Only thing useful is the numbers. Minor: mixed precision, unclear rounding applied http://www.teachforamerica.org/why-teach-for-america/the-corps/who-we-look-for/the-importance-of-diversity 15.071x Visualizing the World: An Introduction to Visualization 14

Two Rights Make A Wrong Source: http://www.excelcharts.com/blog/redraw-troops-vs-cost-time-magazine/ Different units suggest (non-existent) crossover in 1995 Transformation shows true moments of change 15.071x Visualizing the World: An Introduction to Visualization 15

Family Matters 15.071x Visualizing the World: An Introduction to Visualization 16

Family Matters If we are interested in shares within a year, its good. If we want to see rates of change, it is pretty much unusable! If we want to compare year-to-year, its possible though imperfect. Numbers are relative absolute numbers may reveal, e.g. married couples without children is constant across years. 15.071x Visualizing the World: An Introduction to Visualization 17