Recent comments in /f/dataisbeautiful

Frog23 t1_iymns43 wrote

Benford's law doesn't apply here. It is (best) for numerical values that is spanning multiple orders of magnitude. But instead we have a fixed set of values (Jan-Dec) with no positional notation. If we were to convert the month to their numerical values and try to apply Benford' law, we would need to group the numbers for January, October, November and December to the groups of values starting with 1. That would be a bit more "benfordy", but really overshoot in other direction.

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Individual_Divide333 t1_iymleaf wrote

Benford’s Law

I immediately thought of Benford’s law Considering the months as their numbers 1, 2, 3..

“A logarithmic scale bar. Picking a random x position uniformly on this number line, roughly 30% of the time the first digit of the number will be 1. A set of numbers is said to satisfy Benford's law if the leading digit d (d ∈ {1, ..., 9}) occurs with probability[10]”

A really cool episode of Connected: The Hidden Science of Everything on Netflix, explains the law really well, and has IRS help explain (elusively) how it’s used to detect fraud in real life.

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[deleted] t1_iymglri wrote

My twin brother and I repeated 1st grade and I always wonder if that was responsible for our academic success. Always being a year older is a huge advantage when you're a kid. Definitely helped in sports too because I hit puberty a grade early and was like 6in taller than my peers in middle school.

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data_n_stuff OP t1_iymg1xj wrote

Sorry man, I appreciate the feedback however I don't agree. If you are making any visualization which is not a "conventional" one like a pie chart or bar chart, it's a good idea to include a "how to read" or some explaining legend as people have different data literacy skills. It's very common even for the best creators in the industry (I'm obviously not in that group) to include a how to read section. With your last point I agree though, there is always room for improvement :)

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data_n_stuff OP t1_iymfjt5 wrote

That's true, however, I specifically filtered to incidents where there were victims (injuries or death) plus the person who committed was a student or former student and the cause of shooting was NOT accident. This was I tried to filter the "actual" intentional school shootings from the very extensive database.

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