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Results tagged with binning
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user 4505
Binning means grouping a continuous variable into discrete categories. It is particularly used in reference to histograms, but could also be used more generally in the sense of coarsening.
2
votes
Accepted
Is binning data valid prior to Pearson correlation?
2 variables where they are pretty much uncorrelated you can find a way to bin the "predictor" variable, then take the average of the response variable within each bin and depending on how you do the binning …
- 52.9k
11
votes
Accepted
What is the justification for unsupervised discretization of continuous variables?
The purpose of statistical models is to model (approximate) an unknown, underlying reality. When you discretize something that is naturally continuous, you are saying that all the responses for a ran …
- 52.9k
29
votes
Assessing approximate distribution of data based on a histogram
A kernel density or logspline plot may be a better option compared to a histogram. There are still some options that can be set with these methods, but they are less fickle than histograms. There ar …
- 52.9k