Recent comments in /f/dataisbeautiful

farsh19 t1_izfswa7 wrote

I agree with both points, depending on the context; although, I would caution against phrases like, "majority of cases" unless you have the data to support such a claim.

These are responsible rules for graphs aimed towards the general public. However these are not good rules to follow in, for example, scientific literature. Hence, the context and intent of a graph is also important.

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lawschoolquestion34 t1_izfqmjc wrote

Reply to comment by finite2 in [OC] Largest IPOs in history by giteam

Those rights aren’t typical for the Fortune 500. Usually found in public former startups like Facebook with powerful founders or investors-turned-owners. Certain rights associated with preferred stock etc. certainly exists but what you’ll see with voting power at Facebook is far and away the exception to the rule.

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dark_o3 OP t1_izfpdjr wrote

I made a seperate comment explaining the idea of the infographic, and yes sometimes it is OK to do it but

#1 is for me the most common way people lie and its not ok in majority of cases.

#2 I would say its only ok for correlation but even here it can mislead users.

#3 maybe there is a better example, the idea is that users should know the full story.

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DRE_CFab t1_izfpc4s wrote

I remember when I did debate as a freshman in high school and hated it because it was all about doing exactly this, as well as censoring lines from documents that didn't agree with your stance and using them. And then when you actually got to debating it was just who could say "nope that's wrong" more convincingly (read: louder and more angrily). Little did I know that's what the world is like

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dark_o3 OP t1_izfoeja wrote

The purpose of the infographic is to show some common examples on how charts can be misleading and on what should readers pay attention to.

Yes, there are cases where this is appropriate but more commonly it is just bad design OR (and this is my main point I want to address) sometimes charts are designed like this on purpose in order to mislead users deliberately.

Common population does not possess statistical literacy to read and interpret numbers accurately. Politicians, for example, love to abuse that by showing charts like these. I wanted to present how they commonly do it.

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Golden_Mandala t1_izfnqdt wrote

This is so important. A lot of these things are only problematic because most normal people don’t know how to read graphs. But some are bad for all audiences.

One I have seen occasionally that truly shocks me is non-linear labeling of numbers on an axis—for example, 2, 4, 8, 10, 14, 16, 20. With equal space between each given number.

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