imnotreel

imnotreel t1_j7ndzve wrote

>DataIsBeautiful is for visualizations that effectively convey information. Aesthetics are an important part of information visualization, but pretty pictures are not the sole aim of this subreddit.

Meanwhile in r/dataisbeautiful : a random scalogram of a cough audio recording with no title, no axes labels, no color bar, big ass empty margins and zero annotations or description what so ever gets hundreds of upvotes ...

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imnotreel t1_j5hnt79 wrote

Couple of critiques :

- The source should be stated clearly in the image.

- You shouldn't interpolate between categorical data points.

- Total population breakdown should sum up to 100% (or you should at least explain why it doesn't if there's an explanation).

- Comparing employee racial distribution to HQ state or country population is absolutely meaningless for companies who have employees in other states / countries (which is gonna be the case for all of the companies listed here)

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