Timeline for Is there a general/golden rule for appropriate binning in a histogram?
Current License: CC BY-SA 3.0
9 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Oct 13, 2018 at 18:38 | history | edited | kjetil b halvorsen♦ |
edited tags
|
|
| Jul 23, 2015 at 19:03 | vote | accept | Alvin Nunez | ||
| Jul 16, 2015 at 20:05 | comment | added | Alvin Nunez | I want it to be able to not jam meaningful data (kind of ambiguous, I know) into other bins while still giving me enough stratification that I can see differences. | |
| Jul 16, 2015 at 1:22 | comment | added | Glen_b | There's a plethora of rules ... and to my eye they tend to oversmooth, some vastly so. What properties did you want this "golden rule" to have? | |
| Jul 15, 2015 at 20:31 | comment | added | whuber♦ | One universal rule should be to draw any histogram in more than one way. See stats.stackexchange.com/a/51753. | |
| Jul 15, 2015 at 19:57 | answer | added | TPArrow | timeline score: 1 | |
| Jul 15, 2015 at 19:53 | answer | added | AdamO | timeline score: 1 | |
| Jul 15, 2015 at 19:42 | comment | added | Henry | Wikipedia list some different approaches but with over a million data points you could just choose bin widths of $0.01$ starting at $0$, so about $60$ bins and see if that causes an issue with the histogram | |
| Jul 15, 2015 at 18:43 | history | asked | Alvin Nunez | CC BY-SA 3.0 |