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So I have a data set for chess and our goal is to plot the difference between the rating difference versus white's win rate. I want to subdivide the x-axis into intervals like (-10, 0) (10,20) (20,30) and read the data in the intervals and get the percent of white's win rate over that inverval. Our goal is to plot sort of like a step function for each of the intervals and eventually create a linear regression with the values of each interval.

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    $\begingroup$ Can you give some example data that people could work with? This would be helpful in terms of getting an answer. Also useful is to show what code you have already tried $\endgroup$ – Dunlop Oct 29 at 20:39
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You can use WeightedData and Histogram as follows:

First some fake win/loss and rating difference data:

SeedRandom[1]
whiteWinLoss = RandomInteger[1, 200];
ratingdiff = Subtract @@ RandomInteger[100, {2, 200}];

(1) Construct a WeightedData object using whiteWinLoss as weights

wd = WeightedData[ratingdiff, whiteWinLoss];

(2) Use Histogram with bin width 10 and height spec "Probability":

Histogram[wd, {10}, "Probability"]

enter image description here

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