Timeline for Histogram as scatter plot
Current License: CC BY-SA 4.0
13 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Dec 13, 2021 at 15:35 | comment | added | rhermans | I can't agree with that but probably this is not the place for this discussion. We have different perspectives, let's leave it there. | |
| Dec 13, 2021 at 13:57 | comment | added | granular_bastard | If you smooth by a function then you have to add the function and a width and the result is not easy to understand. The smoothing function and definition of width can be arbitrarily defined. If you just smooth a bin constantly and you add the bin width then everybody understands. | |
| Dec 13, 2021 at 10:23 | comment | added | rhermans | What do you mean by "is more serious"? There is no "real histogram", if the underlying PDF has a "sharp" feature it will also be distorted by binning unless you shift the bins by hand to coincide with the sharp feature. A histogram is just a special case of Kernel density with values rounded and a top-hat kernel, both very unrealistic choices. Choosing Kernels that reflect the expected uncertainty of the data collected makes way more sense. | |
| Dec 12, 2021 at 17:15 | comment | added | granular_bastard | Smoothing manipulates the histogram shape at locations of sharp changes in the population and pretends that the real histogram follows the smoothed curve. Points show the counts only for the bin and is more serious. | |
| Dec 10, 2021 at 13:01 | vote | accept | granular_bastard | ||
| Dec 10, 2021 at 10:45 | comment | added | rhermans | I also think it's hard to understand why would you want to do what you ask, but for a different reason. For me, Histograms applied to continuous variables are a tool that belongs in the past when computation was expensive, and they should be considered obsolete. Introducing an arbitrary parameter like the bin size and artificially discretizing a continuous variable seems like a bad idea when you can directly deal with EmpiricalDistribution and FindDistributionParameters. At the very least probably you may want to use a continuous Kernel Density plot, like SmoothHistogram. | |
| Dec 10, 2021 at 9:00 | history | tweeted | twitter.com/StackMma/status/1469230430255828993 | ||
| Dec 10, 2021 at 8:14 | comment | added | leftaroundabout | Seems a bad idea to draw a histogram as a scatterplot this way. If anything, I'd scatter representatives of the actual data points, under the histogram (with random y values within the range). | |
| Dec 10, 2021 at 5:46 | history | became hot network question | |||
| Dec 10, 2021 at 1:55 | answer | added | kglr | timeline score: 9 | |
| Dec 10, 2021 at 1:43 | history | edited | granular_bastard | CC BY-SA 4.0 | added 18 characters in body |
| Dec 9, 2021 at 22:20 | history | edited | granular_bastard | CC BY-SA 4.0 | deleted 2 characters in body |
| Dec 9, 2021 at 21:43 | history | asked | granular_bastard | CC BY-SA 4.0 |