Defense Against Dishonest Charts
I found this on the fediverse
This is a guide to protect ourselves and to preserve what is good about turning data into visual things.
A useful guide here, especially given we are seeing a lot of data and data representation, it can be hard to interpret, if we can differentiate between good / bad data it saves time being wasted.
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