CleanDataDirtyMind

CleanDataDirtyMind t1_j30wdo7 wrote

Fun fact, while they knew there was clustering it was two deviations that drove the "proof" home it was the water pumps. One was the absence of cases at the brewery RIGHT next door, where the workers would not drink the water but beer after the fermentation process. And the case on Coventry street, that had no obvious association until the household was interviewed and the lady who had risen in station and lived there turned out to originally be from the neighborhood and insisted that water be brought from that pump because she thought it tasted better. So it was hypothesis, analysis, visualization and thick data investigation.

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CleanDataDirtyMind t1_ixa2rvw wrote

Are you me? I need to be better organized but if I were to throw up my numbers from my two searches they would be almost identical (with slightly different months span and month start).

It seems in STEAM all you just need is that one first job to kick your butt and career into gear.

While you submitted more applications the second time around you got more reciprocal which as a Data Scientist I could surmise that the difference could be more you too. You knew more how to target successful applications.

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CleanDataDirtyMind t1_iv7e0bq wrote

Based and balanced is not the same definition. That's an interesting question, what would make it gender based or not; and feel thats a treacherous thing to go into for data scientist, maybe something left up for the sociologist to give us a definition.

But the statement was "balanced" and in the age ranges that social media covers the gender is at 50-50. It only becomes slightly different just past the social media age, as slightly more men die earlier from hard labor, risk, or war.

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