The thread is created to help you having overview on changes of total DT1, DT2 members.
- I update and convert data every week on my computer.
- Updates will be released quarterly, in new posts, not in OP.
- Spam will be reported. Please don't spam.
- Locked it to avoid spam. If you have suggestion, please send me in PMs, thanks.
Data sourceSome notes from LoyceV
- The first bit is DT1, the rest (starting with userID 3) is DT2
- Only a few lines have the word "Banned".
- LoyceV always has one more Neutral feedback than it should have, because LoyceBot sees it's own neutral tag
- The DT1/DT2-data is scraped right before creating this data
- The Trust scores are taken from my latest Trust list viewer, updated each Saturday morning
- The Merit data is from Friday morning before that
- The Trust scores are scraped about a day earlier than that
- If a user is recently added to DT2, without being listed on my Trust list viewer, it says "Wait for next week". CascadiaCC for instance was added onto DT2 2 days ago.
- The same profile won't have a Trust score yet in tomorrow's update. I'll check tomorrow how that is handled.
Converted data +-----------------------+
| date dt1 dt2 |
|-----------------------|
1. | 08jun2019 80 371 |
2. | 11jun2019 94 424 |
3. | 22jun2019 91 426 |
4. | 29jun2019 92 427 |
5. | 01jul2019 92 390 |
|-----------------------|
6. | 06jul2019 93 406 |
7. | 13jul2019 93 428 |
8. | 20jul2019 93 431 |
9. | 27jul2019 93 431 |
10. | 03aug2019 93 447 |
|-----------------------|
11. | 10aug2019 93 445 |
12. | 17aug2019 93 446 |
13. | 24aug2019 92 430 |
14. | 01sep2019 92 434 |
15. | 04sep2019 94 372 |
|-----------------------|
16. | 07sep2019 95 398 |
17. | 14sep2019 94 371 |
18. | 21sep2019 94 373 |
19. | 28sep2019 94 377 |
20. | 06oct2019 94 438 |
|-----------------------|
21. | 12oct2019 94 437 |
22. | 19oct2019 94 434 |
23. | 26oct2019 94 413 |
24. | 02nov2019 97 459 |
25. | 09nov2019 97 457 |
|-----------------------|
26. | 17nov2019 97 457 |
27. | 23nov2019 97 458 |
28. | 30nov2019 97 459 |
29. | 07dec2019 94 572 |
30. | 14dec2019 94 578 |
|-----------------------|
31. | 21dec2019 94 597 |
32. | 28dec2019 93 561 |
33. | 04jan2020 87 413 |
34. | 12jan2020 87 413 |
35. | 18jan2020 87 413 |
|-----------------------|
36. | 25jan2020 86 402 |
37. | 01feb2020 86 401 |
38. | 04feb2020 87 459 |
39. | 10feb2020 87 402 |
40. | 15feb2020 87 402 |
|-----------------------|
41. | 22feb2020 88 405 |
42. | 29feb2020 88 404 |
43. | 07mar2020 92 465 |
44. | 14mar2020 94 482 |
45. | 21mar2020 94 480 |
|-----------------------|
46. | 28mar2020 93 480 |
47. | 04apr2020 89 496 |
48. | 11apr2020 90 502 |
49. | 18apr2020 90 504 |
50. | 25apr2020 90 504 |
+-----------------------+
Time-series plotsThere are some pumps and dumps of DT members. They're from DT system changes and theymos' updates as well as votes from sockpupets.
StatisticsVariable notes- pos: positive trust feedback
- neu: neutral trust feedback
- neg: negative trust feedback
- emerit: earned merit
- p50: median
- For each DT type, we have 4 rows of statistics, and in descending orders, they represent data for pos, neu, neg, and emerit.
- One DT2 member was dropped due to incomlete data
Summary for variables: pos neu neg emerit
by categories of: dttype (DT type)
dttype | N mean sd p50 p25 p75 min max
-------+--------------------------------------------------------------------------------
DT1 | 90.0 15.7 20.0 8.0 4.0 20.0 0.0 121.0
| 90.0 0.6 1.0 0.0 0.0 1.0 0.0 6.0
| 90.0 -0.1 0.5 0.0 0.0 0.0 -4.0 0.0
| 90.0 1059.9 1054.2 759.0 484.0 1356.0 48.0 6791.0
-------+--------------------------------------------------------------------------------
DT2 | 506.0 5.9 9.3 2.0 1.0 7.0 0.0 79.0
| 506.0 0.2 0.6 0.0 0.0 0.0 0.0 5.0
| 506.0 -0.1 0.5 0.0 0.0 0.0 -9.0 0.0
| 506.0 303.7 479.1 104.5 11.0 391.0 0.0 5180.0
-------+--------------------------------------------------------------------------------
Total | 596.0 7.4 12.1 3.0 1.0 8.0 0.0 121.0
| 596.0 0.2 0.7 0.0 0.0 0.0 0.0 6.0
| 596.0 -0.1 0.5 0.0 0.0 0.0 -9.0 0.0
| 596.0 417.9 659.2 155.5 18.0 591.0 0.0 6791.0
----------------------------------------------------------------------------------------
Box plots