Recent comments in /f/dataisbeautiful

Snagle2354 t1_jdebltb wrote

Apples to oranges. The WaPo dataset is behind a paywall so I cannot verify, but you used the term ‘police killings,’ whereas WaPo uses the term ‘police shootings.’ From previous interaction with the dataset I believe the WaPo source excludes non-firearm ‘police killings.’

You said yourself, suicide correlates with firearm ownership; I propose ‘police shootings’ likely correlates with the presence of firearms in police encounters which likely correlates to availability of firearms.

Furthermore, as somebody else mentioned, the time domain differs between the sets. You have different time periods, different classification criteria, potentially overlapping datapoints treated as distinct events. I do not believe any valid conclusions or observations could really be made from this presentation.

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MadcapHaskap t1_jde9owt wrote

I think it depends on how much you think Sub-Rosa is aware it's cheesy camp and how much you like that sort of thing.

Whereas even in '87 a stranger impregnating you in your sleep is very rape-y even with the sci-fi premise; then raising the rapist, Troi essentially abandoned to her new motherhood, Riker irritated he isn't the father/rapist ... the "It's a badly adapted phase II script" really shows.

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headhouse t1_jde97ax wrote

Have you tried mapping all the other causes of death?

Also, you're comparing two disparate stretches of time leading up to the same endpoint. That seems like bad practice.

I'm also not seeing where the wapo link you provided gives data on the party affiliation of the people who were shot. Is that data just a reflection of the location, then?

I'm not a data scientist, but this feels very pegboards-and-strings-across-the-room kind of scenario.

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terrykrohe OP t1_jde845j wrote

Keats, "Ode on a Grecian Urn" –

Thou shalt remain, ... a friend to man, to whom thou say'st,
"Beauty is truth, truth beauty,
– that is all Ye know on earth, and all ye need to know."

... as for "Nor easily understood"
I agree, I do not understand how police killings and suicides are correlated:

The most beautiful thing we can experience is the mysterious. It is the source of all true art and science. He to whom the emotion is a stranger, who can no longer pause to wonder and stand wrapped in awe, is as good as dead; his eyes are closed.

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terrykrohe OP t1_jde6diq wrote

Purpose

Police killings and suicides, it seems, are different spheres of activity and would/should have NO connection/correlation (excepting suicide-by-cop).Butthe data says there IS correlation.

That is, why would a state with a high suicide rate also have a high police killing rate?
conversely, why would a state with a low suicide rate also have a low police killing rate?

How? Why?

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terrykrohe OP t1_jde3aja wrote

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top, left: shows the fifty states separated by their 2020 election vote (red/Rep and blue/Dem); the source data is worked up to determine the police killings per 100,000 pop and tabulated; the ranked table is visually presented ... identifying the states is not important: the importance is in the non-random, top/bottom pattern of the data

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the top, right: is a visualization of source suicide per 100,000 pop data

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– the means and standard deviations of the Rep and Dem data are represented by the dashed lines and the shaded boxes
– the t-test compares means of Sample populations: low t-test values indicate that the means are NOT due to random data fluctuations

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the bottom plot
– plots the (suicide, police killings) coordinates for each state
– a best fit line is determined for the Rep and Dem coordinates
– the Pearson correlation calculates how 'strong' the data fits the best-fit line (0.81 and 0.75 are strong correlations)
– the "P-value" is the probability that the Pearson "r-value" represents random fluctuation of the data
– smaller P-values indicate less random character of Sample data

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the "impact value" use the r-value and the P-value to quantify the data fit
– just looking at the plot coordinates, the best fit lines, and the Pearson values ... it is (for me) hard to see that the Dem correlation is so much stronger than the Rep correlation; but the impact value informs me so.

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