niccokunzmann/open-web-calendar
Data sources
| Repository | Pull requests | Issues | Complete | Read |
|---|---|---|---|---|
| niccokunzmann/open-web-calendar | 923 / 923 | 328 / 328 | 100% | 1 day, 2 hours ago |
Download the data behind this page. The ODS spreadsheets also have the data each table was made from, and what the download is.
- response times: ODS, CSV, Parquet, JSON
- pull requests and issues: ODS, CSV, Parquet
- comments and reviews: ODS, CSV, Parquet
- commits: ODS, CSV, Parquet
- contributors: ODS, CSV, Parquet
How to check the numbers with scipy.
Sources shown
Response times
Time until the first response of each class of people (edit classes). The author's own comments do not count. Measured, normal and exponential use only the items that got a response; Kaplan-Meier counts the others, too, as waiting at least until they were closed or until now, and is "-" where less than half (or 95 %) got a response.
| class | n | fit | average | std error | median | 95% |
|---|---|---|---|---|---|---|
| bot | 25 | measured | 10h 37min | 6h 57min | 8min | 2d 20h |
| bot | 25 | normal | 10h 37min | 6h 48min | 10h 37min | 2d 18h |
| bot | 25 | exponential | 10h 37min | 2h 7min | 7h 22min | 1d 7h |
| bot | 923 | Kaplan-Meier | - | - | - | - |
| collaborator or higher | 51 | measured | 3d | 19h 8min | 14h 9min | 17d 4h |
| collaborator or higher | 51 | normal | 3d | 18h 56min | 3d | 12d 7h |
| collaborator or higher | 51 | exponential | 3d | 10h 10min | 2d 2h | 9d 1h |
| collaborator or higher | 923 | Kaplan-Meier | - | - | - | - |
| external | 7 | measured | 43d 11h | 23d 22h | 9h 31min | 140d 8h |
| external | 7 | normal | 43d 11h | 22d 3h | 43d 11h | 139d 21h |
| external | 7 | exponential | 43d 11h | 16d 10h | 30d 3h | 130d 4h |
| external | 923 | Kaplan-Meier | - | - | - | - |
n counts the items with a response of the class. Kaplan-Meier counts all items, so its n is the same for every class: the items without a response of the class count as waiting, until they were closed or until now. How to read the response times
Trend: no clear change of the time until the first response over time (p = 0.06, 78 responses). How the trend is computed
| class | n | fit | average | std error | median | 95% |
|---|---|---|---|---|---|---|
| collaborator or higher | 88 | measured | 60d 2h | 22d 4h | 21h 12min | 357d 21h |
| collaborator or higher | 88 | normal | 60d 2h | 22d 1h | 60d 2h | 400d 14h |
| collaborator or higher | 88 | exponential | 60d 2h | 6d 9h | 41d 16h | 180d 2h |
| collaborator or higher | 328 | Kaplan-Meier | - | - | - | - |
| external | 52 | measured | 288d 5h | 55d 13h | 143d 12h | 914d 9h |
| external | 52 | normal | 288d 5h | 55d | 288d 5h | 940d 17h |
| external | 52 | exponential | 288d 5h | 39d 23h | 199d 18h | 863d 9h |
| external | 328 | Kaplan-Meier | - | - | - | - |
n counts the items with a response of the class. Kaplan-Meier counts all items, so its n is the same for every class: the items without a response of the class count as waiting, until they were closed or until now. How to read the response times
Trend: no clear change of the time until the first response over time (p = 0.27, 121 responses). How the trend is computed
Badges
Embed the response time in a README. The badge counts with the default classes of people. The badge shows what is in the database and never calls GitHub. Parameters: kind = pr or issue, percentile = 0-100, class = a class name (optional), model = measured, normal, exponential or kaplan-meier (optional), label = the text of the left side (optional).