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Okay, what do you want us to do next? :)
This is an idiotic Rethug meme I have seen several times.
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9 replies
= new reply since forum marked as read
= new reply since forum marked as read
A Great Example of Better Data Visualization: This Voting Map GIF
"Land doesn't vote. People do"
By Rain Noe - October 15
Done properly, the art of data visualization can be an incredibly powerful tool for educating people. It allows us to understand things that would otherwise be ungraspable due to their sheer complexity.
Done improperly, data visualization can be incredibly misleading. It's important that we have talented and hopefully unbiased (I know, what are the odds) designers presenting the information.
As one example of how bad data visualization can mislead, take a look at this map below. What you're seeing is a map of how each county in the United States voted in the 2016 Presidential election (Red = Republican, Blue = Democrat).
<SNIP>
{They put up the map in the OP}
It looks like a landslide--because visually, it is. However, this is a wildly inaccurate representation of proportionality vis-à-vis the population, because all of those little shapes representing counties have vastly different amounts of people living within them. As some might put it, "Land doesn't vote. People do."
Data scientist Karim Douïeb figured that a more accurate way to represent how people voted is to use colored dots, varied in size proportionally to the population of each county. He turned the results into this GIF, which provides a clearer picture:
More: https://www.core77.com/posts/90771/A-Great-Example-of-Better-Data-Visualization-This-Voting-Map-GIF
"Land doesn't vote. People do"
By Rain Noe - October 15
Done properly, the art of data visualization can be an incredibly powerful tool for educating people. It allows us to understand things that would otherwise be ungraspable due to their sheer complexity.
Done improperly, data visualization can be incredibly misleading. It's important that we have talented and hopefully unbiased (I know, what are the odds) designers presenting the information.
As one example of how bad data visualization can mislead, take a look at this map below. What you're seeing is a map of how each county in the United States voted in the 2016 Presidential election (Red = Republican, Blue = Democrat).
<SNIP>
{They put up the map in the OP}
It looks like a landslide--because visually, it is. However, this is a wildly inaccurate representation of proportionality vis-à-vis the population, because all of those little shapes representing counties have vastly different amounts of people living within them. As some might put it, "Land doesn't vote. People do."
Data scientist Karim Douïeb figured that a more accurate way to represent how people voted is to use colored dots, varied in size proportionally to the population of each county. He turned the results into this GIF, which provides a clearer picture:
More: https://www.core77.com/posts/90771/A-Great-Example-of-Better-Data-Visualization-This-Voting-Map-GIF
The jpeg from your link:
