Timeline for Visualizing probability of event over time, based on epoch time
Current License: CC BY-SA 3.0
13 events
when toggle format | what | by | license | comment | |
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Nov 2, 2015 at 1:06 | answer | added | Sean Easter | timeline score: 1 | |
Jul 29, 2013 at 8:42 | history | tweeted | twitter.com/#!/StackStats/status/361768691886600193 | ||
Jul 29, 2013 at 4:44 | comment | added | Glen_b | If you want to identify peaks in the distribution across the week, possibilities include a periodic-kernel- or periodic-spline- density estimate or as an exploratory tool, perhaps even a histogram. | |
Jul 28, 2013 at 21:19 | history | edited | whuber♦ | CC BY-SA 3.0 |
appended answer 65766 as supplemental
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Jul 28, 2013 at 21:19 | comment | added | whuber♦ | Thanks for clarifying. It's impossible to know in advance that a term like "epoch time" (a) has multiple meanings (depending on the operating system) and (b) may have completely different meanings for different people (such as an epoch time for a geographer). So to avoid confusion, multiple conflicting answers, or lack of answers, it's best to explain yourself whenever you can. | |
Jul 27, 2013 at 18:43 | vote | accept | John | ||
Jul 27, 2013 at 18:19 | history | edited | John | CC BY-SA 3.0 |
clarifying data.
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Jul 27, 2013 at 18:17 | comment | added | John | Well, it says epoch time right in the title. I don't know what guessing is required. I've edited my data here to make it clearer. (Which you also could have done.) Thanks for your help! | |
Jul 26, 2013 at 1:10 | comment | added | whuber♦ | Computers keep time in myriad ways. By default, when numbers appear separated by commas, they would be interpreted as four separate fields. One could guess that these are milliseconds (or whatever), but it's not a good idea to make people guess what your data mean. | |
Jul 25, 2013 at 22:48 | comment | added | John | It's epoch, or unix time en.wikipedia.org/wiki/Unix_time. The way computers keep time is by counting milliseconds since Jan 1, 1970 UTC. 1,353,951,487 = Mon, 26 Nov 2012 17:38:07 GMT. | |
Jul 25, 2013 at 18:48 | comment | added | whuber♦ | Could you explain what these data mean? They don't look like times at all. | |
Nov 27, 2012 at 5:15 | review | First posts | |||
Nov 27, 2012 at 6:34 | |||||
Nov 27, 2012 at 4:57 | history | asked | John | CC BY-SA 3.0 |