Infographic Critiques

In looking for infographics to critique, I largely misunderstood that we were meant to find data visualizations in relation to incarceration. And so, in looking for my examples, I found 2 infographics, unrelated to incarceration and imprisonment. Still, one does pertain to what we are discussing. This will be the first one I will be discussing:

infographic_by_onespot

What could be more useful in a discussion on infographics than an infographic on infographics? (inforgraphic by OneSpot)

This infographic largely follows the rules it sets out for “responsible infographicking.” It uses a 3 color palette with contrast (blue, orange, and purple), it uses a similar type style and proportions (all text is sans-serif and similar ideas have similar font size), there is an easy-to-follow, logical flow, negative space is used to create balance, and it cites its sources. The only point I can see where the infographic falls short is in regards to Rule Four: Keep text clean and legible. While largely for the most part the information is easy to read, there are a few moments where the smaller (and less saturated) text gets lost in the background. The text drifts into a blur and becomes difficult to read. The areas I am talking about in particular are the information following the percentage statistics in the “Did You Know?” section, the descriptors in the “8 Common Types of Infographics” sections, and the information in regards to the second set of percentage statistics following the “Searches for ‘Infographic'” section. All these moments have something in common: the text is small, light, and greatly desaturated in comparison to the surrounding text and colors.

infographic_by_brianne_boland

My name, Melissa (Μέλισσα), means “honeybee” in Greek. Which is one of the reasons I chose this infographic by Brianne Boland.

 Where this infographic succeeds is in its simplicity. The colors are all analogous and evoke the idea of honey, the bee graphics are cute and not heavily-detailed so they don’t appear out of place,  and even the information itself is simple. There is not a large, over-complicated scientific description of what is happening to the bee population and what in particular is killing them. The information is simple, easy to read, and clearly organized so you can tell which graphic goes with what information. This particular infographic is perfect for reaching large audiences, which is precisely what an infographic on saving the bee population would strive to-do. However, in relation to our current project, the infographic lacks the data visualization we are striving for. Since the information is so clear-cut and simplistic, there is no use of visualized-data (i.e. graphs). While this is useful in terms of audience legibility, it is not useful in terms of our project.
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