Never a bad idea to touch up on your visualization knowledge to make sure you are able to distinguish misinformation.
Check out this article by Flowing Data.
“It used to be that we’d see a poorly made graph or a data design goof, laugh it up a bit, and then carry on. At some point though — during this past year especially — it grew more difficult to distinguish a visualization snafu from bias and deliberate misinformation.
Of course, lying with statistics has been a thing for a long time, but charts tend to spread far and wide these days. There’s a lot of them. Some don’t tell the truth. Maybe you glance at it and that’s it, but a simple message sticks and builds. Before you know it, Leonardo DiCaprio spins a top on a table and no one cares if it falls or continues to rotate.
So it’s all the more important now to quickly decide if a graph is telling the truth. This a guide to help you spot the visualization lies.”
Full article text available at Flowing Data .
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