Pages:
Author

Topic: Time Series Analysis on Distributed Merits in the forum (daily, weekly, monthly) - page 30. (Read 29484 times)

legendary
Activity: 2310
Merit: 4085
Farewell o_e_l_e_o
Thanks LoyceV for another data dump in my topic.

Intraday merits (converted dataset):
For days in 2019:
Code:
. list id merit date day month2 year week month dofw if year == 2019

     +-----------------------------------------------------------------------------+
     |  id   merit        date   day   month2   year     week    month        dofw |
     |-----------------------------------------------------------------------------|
343. | 343     603   01jan2019     1        1   2019   2019w1   2019m1     Tuesday |
344. | 344     526   02jan2019     2        1   2019   2019w1   2019m1   Wednesday |
345. | 345     394   03jan2019     3        1   2019   2019w1   2019m1    Thursday |
346. | 346    1082   04jan2019     4        1   2019   2019w1   2019m1      Friday |
347. | 347     835   05jan2019     5        1   2019   2019w1   2019m1    Saturday |
     |-----------------------------------------------------------------------------|
348. | 348     783   06jan2019     6        1   2019   2019w1   2019m1      Sunday |
349. | 349     570   07jan2019     7        1   2019   2019w1   2019m1      Monday |
350. | 350     782   08jan2019     8        1   2019   2019w2   2019m1     Tuesday |
351. | 351    1161   09jan2019     9        1   2019   2019w2   2019m1   Wednesday |
352. | 352     987   10jan2019    10        1   2019   2019w2   2019m1    Thursday |
     |-----------------------------------------------------------------------------|
353. | 353     878   11jan2019    11        1   2019   2019w2   2019m1      Friday |
354. | 354     711   12jan2019    12        1   2019   2019w2   2019m1    Saturday |
355. | 355     978   13jan2019    13        1   2019   2019w2   2019m1      Sunday |
356. | 356    1127   14jan2019    14        1   2019   2019w2   2019m1      Monday |
357. | 357     813   15jan2019    15        1   2019   2019w3   2019m1     Tuesday |
     |-----------------------------------------------------------------------------|
358. | 358     880   16jan2019    16        1   2019   2019w3   2019m1   Wednesday |
359. | 359    1018   17jan2019    17        1   2019   2019w3   2019m1    Thursday |
360. | 360     611   18jan2019    18        1   2019   2019w3   2019m1      Friday |
361. | 361     643   19jan2019    19        1   2019   2019w3   2019m1    Saturday |
362. | 362     658   20jan2019    20        1   2019   2019w3   2019m1      Sunday |
     |-----------------------------------------------------------------------------|
363. | 363     683   21jan2019    21        1   2019   2019w3   2019m1      Monday |
364. | 364     618   22jan2019    22        1   2019   2019w4   2019m1     Tuesday |
365. | 365     735   23jan2019    23        1   2019   2019w4   2019m1   Wednesday |
366. | 366     715   24jan2019    24        1   2019   2019w4   2019m1    Thursday |
367. | 367     615   25jan2019    25        1   2019   2019w4   2019m1      Friday |
     |-----------------------------------------------------------------------------|
368. | 368     587   26jan2019    26        1   2019   2019w4   2019m1    Saturday |
369. | 369     655   27jan2019    27        1   2019   2019w4   2019m1      Sunday |
370. | 370     734   28jan2019    28        1   2019   2019w4   2019m1      Monday |
371. | 371     612   29jan2019    29        1   2019   2019w5   2019m1     Tuesday |
372. | 372     510   30jan2019    30        1   2019   2019w5   2019m1   Wednesday |
     +-----------------------------------------------------------------------------+
For days in 2018, please check previous post.
legendary
Activity: 3290
Merit: 16489
Thick-Skinned Gang Leader and Golden Feather 2021
Update:

Per day
Code:
Day 1: 13018 Merit
Day 2: 6761 Merit
Day 3: 4493 Merit
Day 4: 3489 Merit
Day 5: 3188 Merit
Day 6: 3799 Merit
Day 7: 4192 Merit
Day 8: 2820 Merit
Day 9: 2545 Merit
Day 10: 2568 Merit
Day 11: 1867 Merit
Day 12: 2167 Merit
Day 13: 2077 Merit
Day 14: 2308 Merit
Day 15: 2141 Merit
Day 16: 2141 Merit
Day 17: 1448 Merit
Day 18: 1747 Merit
Day 19: 1442 Merit
Day 20: 1331 Merit
Day 21: 1579 Merit
Day 22: 2513 Merit
Day 23: 1991 Merit
Day 24: 1411 Merit
Day 25: 1608 Merit
Day 26: 1289 Merit
Day 27: 1403 Merit
Day 28: 1169 Merit
Day 29: 1266 Merit
Day 30: 1279 Merit
Day 31: 1046 Merit
Day 32: 1409 Merit
Day 33: 1186 Merit
Day 34: 1382 Merit
Day 35: 1326 Merit
Day 36: 991 Merit
Day 37: 1333 Merit
Day 38: 1696 Merit
Day 39: 1089 Merit
Day 40: 989 Merit
Day 41: 1245 Merit
Day 42: 1074 Merit
Day 43: 1109 Merit
Day 44: 922 Merit
Day 45: 789 Merit
Day 46: 1023 Merit
Day 47: 1091 Merit
Day 48: 1354 Merit
Day 49: 994 Merit
Day 50: 1159 Merit
Day 51: 1130 Merit
Day 52: 840 Merit
Day 53: 797 Merit
Day 54: 1035 Merit
Day 55: 992 Merit
Day 56: 1322 Merit
Day 57: 1227 Merit
Day 58: 764 Merit
Day 59: 733 Merit
Day 60: 1045 Merit
Day 61: 858 Merit
Day 62: 808 Merit
Day 63: 879 Merit
Day 64: 848 Merit
Day 65: 1043 Merit
Day 66: 928 Merit
Day 67: 968 Merit
Day 68: 1233 Merit
Day 69: 1146 Merit
Day 70: 1080 Merit
Day 71: 1061 Merit
Day 72: 838 Merit
Day 73: 620 Merit
Day 74: 614 Merit
Day 75: 1056 Merit
Day 76: 884 Merit
Day 77: 768 Merit
Day 78: 963 Merit
Day 79: 917 Merit
Day 80: 682 Merit
Day 81: 681 Merit
Day 82: 592 Merit
Day 83: 609 Merit
Day 84: 628 Merit
Day 85: 681 Merit
Day 86: 848 Merit
Day 87: 563 Merit
Day 88: 522 Merit
Day 89: 880 Merit
Day 90: 709 Merit
Day 91: 626 Merit
Day 92: 687 Merit
Day 93: 675 Merit
Day 94: 583 Merit
Day 95: 623 Merit
Day 96: 682 Merit
Day 97: 822 Merit
Day 98: 741 Merit
Day 99: 759 Merit
Day 100: 747 Merit
Day 101: 597 Merit
Day 102: 688 Merit
Day 103: 599 Merit
Day 104: 898 Merit
Day 105: 618 Merit
Day 106: 761 Merit
Day 107: 475 Merit
Day 108: 867 Merit
Day 109: 415 Merit
Day 110: 719 Merit
Day 111: 674 Merit
Day 112: 700 Merit
Day 113: 652 Merit
Day 114: 574 Merit
Day 115: 542 Merit
Day 116: 587 Merit
Day 117: 617 Merit
Day 118: 626 Merit
Day 119: 639 Merit
Day 120: 531 Merit
Day 121: 554 Merit
Day 122: 370 Merit
Day 123: 575 Merit
Day 124: 559 Merit
Day 125: 589 Merit
Day 126: 638 Merit
Day 127: 599 Merit
Day 128: 687 Merit
Day 129: 698 Merit
Day 130: 461 Merit
Day 131: 511 Merit
Day 132: 773 Merit
Day 133: 731 Merit
Day 134: 504 Merit
Day 135: 506 Merit
Day 136: 766 Merit
Day 137: 672 Merit
Day 138: 575 Merit
Day 139: 519 Merit
Day 140: 422 Merit
Day 141: 786 Merit
Day 142: 528 Merit
Day 143: 445 Merit
Day 144: 654 Merit
Day 145: 464 Merit
Day 146: 601 Merit
Day 147: 662 Merit
Day 148: 707 Merit
Day 149: 705 Merit
Day 150: 774 Merit
Day 151: 643 Merit
Day 152: 829 Merit
Day 153: 1138 Merit
Day 154: 435 Merit
Day 155: 516 Merit
Day 156: 470 Merit
Day 157: 479 Merit
Day 158: 778 Merit
Day 159: 641 Merit
Day 160: 711 Merit
Day 161: 902 Merit
Day 162: 557 Merit
Day 163: 577 Merit
Day 164: 475 Merit
Day 165: 506 Merit
Day 166: 525 Merit
Day 167: 455 Merit
Day 168: 620 Merit
Day 169: 555 Merit
Day 170: 644 Merit
Day 171: 542 Merit
Day 172: 627 Merit
Day 173: 796 Merit
Day 174: 636 Merit
Day 175: 641 Merit
Day 176: 608 Merit
Day 177: 554 Merit
Day 178: 606 Merit
Day 179: 567 Merit
Day 180: 547 Merit
Day 181: 684 Merit
Day 182: 444 Merit
Day 183: 492 Merit
Day 184: 673 Merit
Day 185: 521 Merit
Day 186: 418 Merit
Day 187: 420 Merit
Day 188: 471 Merit
Day 189: 632 Merit
Day 190: 435 Merit
Day 191: 376 Merit
Day 192: 421 Merit
Day 193: 695 Merit
Day 194: 768 Merit
Day 195: 595 Merit
Day 196: 610 Merit
Day 197: 647 Merit
Day 198: 471 Merit
Day 199: 567 Merit
Day 200: 517 Merit
Day 201: 587 Merit
Day 202: 513 Merit
Day 203: 565 Merit
Day 204: 626 Merit
Day 205: 470 Merit
Day 206: 451 Merit
Day 207: 561 Merit
Day 208: 432 Merit
Day 209: 658 Merit
Day 210: 600 Merit
Day 211: 612 Merit
Day 212: 530 Merit
Day 213: 528 Merit
Day 214: 385 Merit
Day 215: 476 Merit
Day 216: 457 Merit
Day 217: 383 Merit
Day 218: 488 Merit
Day 219: 514 Merit
Day 220: 379 Merit
Day 221: 432 Merit
Day 222: 412 Merit
Day 223: 536 Merit
Day 224: 567 Merit
Day 225: 654 Merit
Day 226: 509 Merit
Day 227: 458 Merit
Day 228: 395 Merit
Day 229: 455 Merit
Day 230: 472 Merit
Day 231: 580 Merit
Day 232: 595 Merit
Day 233: 540 Merit
Day 234: 517 Merit
Day 235: 463 Merit
Day 236: 2463 Merit
Day 237: 1862 Merit
Day 238: 1294 Merit
Day 239: 1268 Merit
Day 240: 846 Merit
Day 241: 807 Merit
Day 242: 944 Merit
Day 243: 804 Merit
Day 244: 749 Merit
Day 245: 596 Merit
Day 246: 562 Merit
Day 247: 675 Merit
Day 248: 518 Merit
Day 249: 669 Merit
Day 250: 619 Merit
Day 251: 509 Merit
Day 252: 760 Merit
Day 253: 705 Merit
Day 254: 521 Merit
Day 255: 513 Merit
Day 256: 660 Merit
Day 257: 603 Merit
Day 258: 678 Merit
Day 259: 578 Merit
Day 260: 639 Merit
Day 261: 616 Merit
Day 262: 399 Merit
Day 263: 460 Merit
Day 264: 430 Merit
Day 265: 655 Merit
Day 266: 626 Merit
Day 267: 732 Merit
Day 268: 774 Merit
Day 269: 643 Merit
Day 270: 538 Merit
Day 271: 853 Merit
Day 272: 694 Merit
Day 273: 674 Merit
Day 274: 759 Merit
Day 275: 553 Merit
Day 276: 424 Merit
Day 277: 426 Merit
Day 278: 415 Merit
Day 279: 534 Merit
Day 280: 529 Merit
Day 281: 495 Merit
Day 282: 433 Merit
Day 283: 454 Merit
Day 284: 430 Merit
Day 285: 464 Merit
Day 286: 562 Merit
Day 287: 405 Merit
Day 288: 691 Merit
Day 289: 843 Merit
Day 290: 536 Merit
Day 291: 688 Merit
Day 292: 788 Merit
Day 293: 591 Merit
Day 294: 580 Merit
Day 295: 569 Merit
Day 296: 650 Merit
Day 297: 499 Merit
Day 298: 347 Merit
Day 299: 486 Merit
Day 300: 898 Merit
Day 301: 767 Merit
Day 302: 608 Merit
Day 303: 759 Merit
Day 304: 348 Merit
Day 305: 716 Merit
Day 306: 462 Merit
Day 307: 531 Merit
Day 308: 510 Merit
Day 309: 558 Merit
Day 310: 643 Merit
Day 311: 554 Merit
Day 312: 530 Merit
Day 313: 424 Merit
Day 314: 501 Merit
Day 315: 563 Merit
Day 316: 665 Merit
Day 317: 479 Merit
Day 318: 487 Merit
Day 319: 468 Merit
Day 320: 397 Merit
Day 321: 641 Merit
Day 322: 596 Merit
Day 323: 618 Merit
Day 324: 458 Merit
Day 325: 571 Merit
Day 326: 377 Merit
Day 327: 521 Merit
Day 328: 713 Merit
Day 329: 402 Merit
Day 330: 494 Merit
Day 331: 636 Merit
Day 332: 496 Merit
Day 333: 316 Merit
Day 334: 696 Merit
Day 335: 312 Merit
Day 336: 478 Merit
Day 337: 665 Merit
Day 338: 347 Merit
Day 339: 386 Merit
Day 340: 325 Merit
Day 341: 389 Merit
Day 342: 376 Merit
Day 343: 603 Merit
Day 344: 526 Merit
Day 345: 394 Merit
Day 346: 1082 Merit
Day 347: 835 Merit
Day 348: 783 Merit
Day 349: 570 Merit
Day 350: 782 Merit
Day 351: 1161 Merit
Day 352: 987 Merit
Day 353: 878 Merit
Day 354: 711 Merit
Day 355: 978 Merit
Day 356: 1127 Merit
Day 357: 813 Merit
Day 358: 880 Merit
Day 359: 1018 Merit
Day 360: 611 Merit
Day 361: 643 Merit
Day 362: 658 Merit
Day 363: 683 Merit
Day 364: 618 Merit
Day 365: 735 Merit
Day 366: 715 Merit
Day 367: 615 Merit
Day 368: 587 Merit
Day 369: 655 Merit
Day 370: 734 Merit
Day 371: 612 Merit
Day 372: 510 Merit
Day 373: 59 Merit (incomplete day)

Per week
Code:
Week 1: 38953 Merit
Week 2: 16373 Merit
Week 3: 11836 Merit
Week 4: 11406 Merit
Week 5: 8910 Merit
Week 6: 8434 Merit
Week 7: 7288 Merit
Week 8: 7283 Merit
Week 9: 6324 Merit
Week 10: 7276 Merit
Week 11: 5848 Merit
Week 12: 5082 Merit
Week 13: 4855 Merit
Week 14: 4821 Merit
Week 15: 4919 Merit
Week 16: 4619 Merit
Week 17: 4243 Merit
Week 18: 3825 Merit
Week 19: 4466 Merit
Week 20: 3978 Merit
Week 21: 4156 Merit
Week 22: 5237 Merit
Week 23: 4511 Merit
Week 24: 3733 Merit
Week 25: 4447 Merit
Week 26: 4018 Merit
Week 27: 3682 Merit
Week 28: 3918 Merit
Week 29: 3883 Merit
Week 30: 3811 Merit
Week 31: 3377 Merit
Week 32: 3336 Merit
Week 33: 3536 Merit
Week 34: 7743 Merit
Week 35: 6023 Merit
Week 36: 4318 Merit
Week 37: 4305 Merit
Week 38: 3831 Merit
Week 39: 4916 Merit
Week 40: 3646 Merit
Week 41: 3249 Merit
Week 42: 4728 Merit
Week 43: 4249 Merit
Week 44: 3945 Merit
Week 45: 3783 Merit
Week 46: 3755 Merit
Week 47: 3668 Merit
Week 48: 3472 Merit
Week 49: 3119 Merit
Week 50: 4978 Merit
Week 51: 6666 Merit
Week 52: 5117 Merit
Week 53: 4659 Merit
Week 54: 570 Merit (incomplete week)
legendary
Activity: 2310
Merit: 4085
Farewell o_e_l_e_o
Update:
Intra-week merits:


I> Full dataset
Time series plot

Code:
.         list merit week

     +-----------------+
     | merit      week |
     |-----------------|
  1. | 30949    2018w4 |
  2. | 19958    2018w5 |
  3. | 13304    2018w6 |
  4. | 11722    2018w7 |
  5. |  8758    2018w8 |
     |-----------------|
  6. |  8806    2018w9 |
  7. |  7253   2018w10 |
  8. |  7309   2018w11 |
  9. |  6941   2018w12 |
 10. |  6707   2018w13 |
     |-----------------|
 11. |  6415   2018w14 |
 12. |  5487   2018w15 |
 13. |  4631   2018w16 |
 14. |  4585   2018w17 |
 15. |  4953   2018w18 |
     |-----------------|
 16. |  4753   2018w19 |
 17. |  4346   2018w20 |
 18. |  3854   2018w21 |
 19. |  4183   2018w22 |
 20. |  4527   2018w23 |
     |-----------------|
 21. |  3818   2018w24 |
 22. |  4921   2018w25 |
 23. |  4457   2018w26 |
 24. |  4253   2018w27 |
 25. |  4239   2018w28 |
     |-----------------|
 26. |  4159   2018w29 |
 27. |  3652   2018w30 |
 28. |  3798   2018w31 |
 29. |  3994   2018w32 |
 30. |  3618   2018w33 |
     |-----------------|
 31. |  3789   2018w34 |
 32. |  3065   2018w35 |
 33. |  3574   2018w36 |
 34. |  5630   2018w37 |
 35. |  7825   2018w38 |
     |-----------------|
 36. |  4388   2018w39 |
 37. |  4271   2018w40 |
 38. |  3800   2018w41 |
 39. |  4821   2018w42 |
 40. |  3945   2018w43 |
     |-----------------|
 41. |  3339   2018w44 |
 42. |  4513   2018w45 |
 43. |  3722   2018w46 |
 44. |  4558   2018w47 |
 45. |  3750   2018w48 |
     |-----------------|
 46. |  3560   2018w49 |
 47. |  3782   2018w50 |
 48. |  3753   2018w51 |
 49. |  3278   2018w52 |
 50. |  4793    2019w1 |
     |-----------------|
 51. |  6624    2019w2 |
 52. |  5306    2019w3 |
     +-----------------+

Basic statistics:
Code:
.         tabstat merit, s(n mean sd p50 p25 p75 min max)

    variable |         N      mean        sd       p50       p25       p75       min       max
-------------+--------------------------------------------------------------------------------
       merit |        52      5893  4573.549      4485      3799    6022.5      3065     30949
----------------------------------------------------------------------------------------------

Let's identify potential outliers:
IQR = Q3 - Q1 = 6022.5 - 3799 = 2223.5
1.5*IQR = 1.5*223.5 = 3335.25

Potential outliers are weeks that have total merits beyond these two threshold
1) Q3 + 1.5*IQR = 6022.5 + 3335.25 = 9357.75 ~ 9358
2) Q1 - 1.5*IQR = 3799 - 3335.25 = 463.75 ~ 464
Detail calculations below:
Code:
. di 6022.5-3799
2223.5

. di 2223.5*1.5
3335.25

. di 6022.5+3335.25
9357.75

. di 3799-3335.25
463.75
Now, let's count how many weeks are outliers:
Code:
.         list merit week if merit >=9358 | merit <=464

     +----------------+
     | merit     week |
     |----------------|
  1. | 30949   2018w4 |
  2. | 19958   2018w5 |
  3. | 13304   2018w6 |
  4. | 11722   2018w7 |
     +----------------+
There are only four outlier weeks, and all of them occured within the first four weeks after the start of merit system.


II> Truncated dataset
Now, I truncated all these four weeks in order to have a truncated dataset, and start identifying potential outliers for the truncated dataset
Basic statistics:
Code:
. tabstat merit, s(n mean sd p50 p25 p75 min max)

    variable |         N      mean        sd       p50       p25       p75       min       max
-------------+--------------------------------------------------------------------------------
       merit |        48  4802.146  1422.756      4367    3793.5    5129.5      3065      8806
----------------------------------------------------------------------------------------------

Potential outliers:
- IQR = Q3 - Q1 = 1336
- 1.5*IQR = 1336*1.5 = 2004
- Q3 + 1.5*IQR = 5129.5 + 2004 = 7133.5 ~ 7134.
- Q1 - 1.5*IQR = 3793.5 - 2004 = 1789.5 ~ 1790
Potential outliers for truncated dataset are weeks that have total intraweek merits beyond 1790 or 7134.

Detail calculations:
Code:
. di 5129.5-3793.5
1336

. di 1336*1.5
2004

. di 5129.5+2004
7133.5

. di 3793.5-2004
1789.5

Let's see how many outliers identified:
Code:
. list merit week if merit >=7134 | merit <=1790

     +-----------------+
     | merit      week |
     |-----------------|
  1. |  8758    2018w8 |
  2. |  8806    2018w9 |
  3. |  7253   2018w10 |
  4. |  7309   2018w11 |
 31. |  7825   2018w38 |
     +-----------------+
Five weeks in total, and none of them occured in the year 2019.

The week #2018w18 described below:
Code:
. list id merit date dofw day month2 year week month if id >=237 & id < 244

     +------------------------------------------------------------------------------+
     |  id   merit        date        dofw   day   month2   year      week    month |
     |------------------------------------------------------------------------------|
237. | 237    1862   17sep2018      Monday    17        9   2018   2018w38   2018m9 |
238. | 238    1294   18sep2018     Tuesday    18        9   2018   2018w38   2018m9 |
239. | 239    1268   19sep2018   Wednesday    19        9   2018   2018w38   2018m9 |
240. | 240     846   20sep2018    Thursday    20        9   2018   2018w38   2018m9 |
241. | 241     807   21sep2018      Friday    21        9   2018   2018w38   2018m9 |
     |------------------------------------------------------------------------------|
242. | 242     944   22sep2018    Saturday    22        9   2018   2018w38   2018m9 |
243. | 243     804   23sep2018      Sunday    23        9   2018   2018w38   2018m9 |
     +------------------------------------------------------------------------------+
As we all known, the sudden rises of merits in September mainly come from abusements due to demotion of Junior Members.
legendary
Activity: 2310
Merit: 4085
Farewell o_e_l_e_o
There you go, I made it today, Lauda
Tracking the difference of merit circulations with Default Trust Changes
Could you make a weekly breakdown of the next 2-3 weeks (and compare them to average weekly data)
legendary
Activity: 2310
Merit: 4085
Farewell o_e_l_e_o
TRUST SYSTEM CHANGE'S IMPACTS ON INTRADAY MERITS


ABSTRACT

(1) Mean and median of the after period (from 09/01/2019 to 21/01/2019 - after the Trust System change) are higher than the figures of before period (from 19/02/2018 to 08/01/2019) at 26.7% and 42.3%, respectively.
(2) There is no potential outliers occured recent days (in the after period) due to effects of Trust System change.
It it very difference from the demotion of Junior Members in September 2018, when outliers occured due to massive absusements. It is just an assumption, but it is likely that the Trust System change has not led to merit abusements (at least till now).




1) Statistics:
It's easily to see that both mean and median of the period after 09/01/2019 are higher than figures of the period before 09/01/2019.
1.1. Before:
- Mean: 677;
- Median: 617.
1.2. After:
- Mean: 858.
- Median: 878

It means that the mean and median of the after period are higher than the before period at 26.7% and 42.3%, respectively.
As always, I would like to look at the median difference between them (42.3%).

Code:
. di (858-677)*100/677
26.735598

. di (878-617)*100/617
42.301459

Details presented below:
- whole: for whole period, from 19/02/2018 to 21/01/2019.
Code:
. tabstat whole before090119 after090119, s(n mean sd p50 p25 p75 min max) format(%9.1f) c(s)

    variable |         N      mean        sd       p50       p25       p75       min       max
-------------+--------------------------------------------------------------------------------
       whole |     337.0     684.0     262.6     620.0     514.0     774.0     312.0    2463.0
before090119 |     324.0     677.0     263.0     616.5     510.5     766.5     312.0    2463.0
 after090119 |      13.0     857.5     187.8     878.0     683.0     987.0     611.0    1161.0
----------------------------------------------------------------------------------------------

2) Box plots:
Outliers displayed

Outliers non-displayed (in order to have clearer view on difference between medians of before and after periods.


Notes for box plots:
- Red circles: potential outliers.
- Medians: horizontal lines inside boxes.
legendary
Activity: 2310
Merit: 4085
Farewell o_e_l_e_o
Update:


ABSTRACT
Notes:
- The asbstract describes figures of intraday merits over the period from 19/2/2018 to 21/01/2019 (truncated dataset);
- Days from 24/1/2018 to 18/2/2018 truncated due to highly potential outliers; and days after 21/01/2019 truncated as well due to incomplete week (the fourth week of 2019 -2019w4);
- Statistics presented in the post are for truncated dataset.

(1) Potential outliers are days that have intraday total merits beyond 124 or 1164;
(2) Median of intraday merits over the period is 620, whilst the interquartile range is from 514 to 774;
(3) Friday is the day over weeks has lowest intraday merits in terms of both median and mean, at 617 and 542, respectively.
In contrast, Monday is the day over weeks has highest intraday merits in terms of both median and mean, at 746 and 658, respectively.


1) Time series plot
I used full dataset (only dropped the first two days due to extremely high merits distributed during those days), since 24/1/2018 to 23/1/2019 to draw the below plot
First two days dropped from the plot

2) Basic statistics
- Mean +/- sd:  684 +/-263
- Median (interquartile range): 620 (514 – 774)
- Min - max: 312 - 2463
Let's compared with statistics for the previous report.

From the full dataset, we can easily identify potential outliers via the following formula:
IQR = Q3 – Q1 = 846 – 521 = 325;
1.5*IQR = 1.5*325 = 487.5
Potential outliers:
-   Above Q3 +1.5*IQR = 846 + 487.5 = 1333.5;
-   Below Q1 – 1.5*IQR = 521 – 487.5 = 33.5
Let's see how many days that have total intraday merits beyond 34 or 1334?
Code:
. count if merit > 1334 | merit < 34 & merit != .
  31
In total, 31 days are extremely potential outliers, and none of them occured recent weeks (only days before 18/9/2018).
Code:
. list id date week month merit if merit > 1334 | merit < 34 & merit != .

     +--------------------------------------------+
     |  id        date      week    month   merit |
     |--------------------------------------------|
  1. |   1   24jan2018    2018w4   2018m1   13018 |
  2. |   2   25jan2018    2018w4   2018m1    6761 |
  3. |   3   26jan2018    2018w4   2018m1    4493 |
  4. |   4   27jan2018    2018w4   2018m1    3489 |
  5. |   5   28jan2018    2018w4   2018m1    3188 |
     |--------------------------------------------|
  6. |   6   29jan2018    2018w5   2018m1    3799 |
  7. |   7   30jan2018    2018w5   2018m1    4192 |
  8. |   8   31jan2018    2018w5   2018m1    2820 |
  9. |   9   01feb2018    2018w5   2018m2    2545 |
 10. |  10   02feb2018    2018w5   2018m2    2568 |
     |--------------------------------------------|
 11. |  11   03feb2018    2018w5   2018m2    1867 |
 12. |  12   04feb2018    2018w5   2018m2    2167 |
 13. |  13   05feb2018    2018w6   2018m2    2077 |
 14. |  14   06feb2018    2018w6   2018m2    2308 |
 15. |  15   07feb2018    2018w6   2018m2    2141 |
     |--------------------------------------------|
 16. |  16   08feb2018    2018w6   2018m2    2141 |
 17. |  17   09feb2018    2018w6   2018m2    1448 |
 18. |  18   10feb2018    2018w6   2018m2    1747 |
 19. |  19   11feb2018    2018w6   2018m2    1442 |
 21. |  21   13feb2018    2018w7   2018m2    1579 |
     |--------------------------------------------|
 22. |  22   14feb2018    2018w7   2018m2    2513 |
 23. |  23   15feb2018    2018w7   2018m2    1991 |
 24. |  24   16feb2018    2018w7   2018m2    1411 |
 25. |  25   17feb2018    2018w7   2018m2    1608 |
 27. |  27   19feb2018    2018w8   2018m2    1403 |
     |--------------------------------------------|
 32. |  32   24feb2018    2018w8   2018m2    1409 |
 34. |  34   26feb2018    2018w9   2018m2    1382 |
 38. |  38   02mar2018    2018w9   2018m3    1696 |
 48. |  48   12mar2018   2018w11   2018m3    1354 |
236. | 236   16sep2018   2018w37   2018m9    2463 |
     |--------------------------------------------|
237. | 237   17sep2018   2018w38   2018m9    1862 |
     +--------------------------------------------+

Let's identify potential outliers of the truncated dataset (from 19/2/2018 to 21/1/2019):
IQR = Q3 – Q1 = 774 – 514 = 260;
1.5*IQR = 1.5*260 = 390
Potential outliers:
-   Above Q3 +1.5*IQR = 774 + 390 = 1164;
-   Below Q1 – 1.5*IQR = 514 – 390 = 124.
Potential outliers are days that have intraday merits beyond 124 or 1164.
Let's see how many days that have total intraday merits beyond 124 or 1164 ?
Code:
. count if (merit >= 1164 | merit <= 124) & merit != . & id >26
  19
19 outliers in total, and there is no potential outlier day happened in early weeks of 2019.
Code:
. list id merit date if merit >= 1164 | merit <= 124

     +-------------------------+
     |  id   merit        date |
     |-------------------------|
  1. |  27    1403   19feb2018 |
  2. |  28    1169   20feb2018 |
  3. |  29    1266   21feb2018 |
  4. |  30    1279   22feb2018 |
  6. |  32    1409   24feb2018 |
     |-------------------------|
  7. |  33    1186   25feb2018 |
  8. |  34    1382   26feb2018 |
  9. |  35    1326   27feb2018 |
 11. |  37    1333   01mar2018 |
 12. |  38    1696   02mar2018 |
     |-------------------------|
 15. |  41    1245   05mar2018 |
 22. |  48    1354   12mar2018 |
 30. |  56    1322   20mar2018 |
 31. |  57    1227   21mar2018 |
 42. |  68    1233   01apr2018 |
     |-------------------------|
210. | 236    2463   16sep2018 |
211. | 237    1862   17sep2018 |
212. | 238    1294   18sep2018 |
213. | 239    1268   19sep2018 |
     +-------------------------+

2) The 50 lowest day in terms of daily merits
Code:
. list merit id date dofw day month2 year week month

     +-------------------------------------------------------------------------------+
     | merit    id        date        dofw   day   month2   year      week     month |
     |-------------------------------------------------------------------------------|
  1. |   312   335   24dec2018      Monday    24       12   2018   2018w52   2018m12 |
  2. |   316   333   22dec2018    Saturday    22       12   2018   2018w51   2018m12 |
  3. |   325   340   29dec2018    Saturday    29       12   2018   2018w52   2018m12 |
  4. |   347   338   27dec2018    Thursday    27       12   2018   2018w52   2018m12 |
  5. |   347   298   17nov2018    Saturday    17       11   2018   2018w46   2018m11 |
     |-------------------------------------------------------------------------------|
  6. |   348   304   23nov2018      Friday    23       11   2018   2018w47   2018m11 |
  7. |   370   122   25may2018      Friday    25        5   2018   2018w21    2018m5 |
  8. |   376   342   31dec2018      Monday    31       12   2018   2018w52   2018m12 |
  9. |   376   191   02aug2018    Thursday     2        8   2018   2018w31    2018m8 |
 10. |   377   326   15dec2018    Saturday    15       12   2018   2018w50   2018m12 |
     |-------------------------------------------------------------------------------|
 11. |   379   220   31aug2018      Friday    31        8   2018   2018w35    2018m8 |
 12. |   383   217   28aug2018     Tuesday    28        8   2018   2018w35    2018m8 |
 13. |   385   214   25aug2018    Saturday    25        8   2018   2018w34    2018m8 |
 14. |   386   339   28dec2018      Friday    28       12   2018   2018w52   2018m12 |
 15. |   389   341   30dec2018      Sunday    30       12   2018   2018w52   2018m12 |
     |-------------------------------------------------------------------------------|
 16. |   394   345   03jan2019    Thursday     3        1   2019    2019w1    2019m1 |
 17. |   395   228   08sep2018    Saturday     8        9   2018   2018w36    2018m9 |
 18. |   397   320   09dec2018      Sunday     9       12   2018   2018w49   2018m12 |
 19. |   399   262   12oct2018      Friday    12       10   2018   2018w41   2018m10 |
 20. |   402   329   18dec2018     Tuesday    18       12   2018   2018w51   2018m12 |
     |-------------------------------------------------------------------------------|
 21. |   405   287   06nov2018     Tuesday     6       11   2018   2018w45   2018m11 |
 22. |   412   222   02sep2018      Sunday     2        9   2018   2018w35    2018m9 |
 23. |   415   278   28oct2018      Sunday    28       10   2018   2018w43   2018m10 |
 24. |   415   109   12may2018    Saturday    12        5   2018   2018w19    2018m5 |
 25. |   418   186   28jul2018    Saturday    28        7   2018   2018w30    2018m7 |
     |-------------------------------------------------------------------------------|
 26. |   420   187   29jul2018      Sunday    29        7   2018   2018w30    2018m7 |
 27. |   421   192   03aug2018      Friday     3        8   2018   2018w31    2018m8 |
 28. |   422   140   12jun2018     Tuesday    12        6   2018   2018w24    2018m6 |
 29. |   424   276   26oct2018      Friday    26       10   2018   2018w43   2018m10 |
 30. |   424   313   02dec2018      Sunday     2       12   2018   2018w48   2018m12 |
     |-------------------------------------------------------------------------------|
 31. |   426   277   27oct2018    Saturday    27       10   2018   2018w43   2018m10 |
 32. |   430   284   03nov2018    Saturday     3       11   2018   2018w44   2018m11 |
 33. |   430   264   14oct2018      Sunday    14       10   2018   2018w41   2018m10 |
 34. |   432   208   19aug2018      Sunday    19        8   2018   2018w33    2018m8 |
 35. |   432   221   01sep2018    Saturday     1        9   2018   2018w35    2018m9 |
     |-------------------------------------------------------------------------------|
 36. |   433   282   01nov2018    Thursday     1       11   2018   2018w44   2018m11 |
 37. |   435   190   01aug2018   Wednesday     1        8   2018   2018w31    2018m8 |
 38. |   435   154   26jun2018     Tuesday    26        6   2018   2018w26    2018m6 |
 39. |   444   182   24jul2018     Tuesday    24        7   2018   2018w30    2018m7 |
 40. |   445   143   15jun2018      Friday    15        6   2018   2018w24    2018m6 |
     |-------------------------------------------------------------------------------|
 41. |   451   206   17aug2018      Friday    17        8   2018   2018w33    2018m8 |
 42. |   454   283   02nov2018      Friday     2       11   2018   2018w44   2018m11 |
 43. |   455   229   09sep2018      Sunday     9        9   2018   2018w36    2018m9 |
 44. |   455   167   09jul2018      Monday     9        7   2018   2018w28    2018m7 |
 45. |   457   216   27aug2018      Monday    27        8   2018   2018w35    2018m8 |
     |-------------------------------------------------------------------------------|
 46. |   458   227   07sep2018      Friday     7        9   2018   2018w36    2018m9 |
 47. |   458   324   13dec2018    Thursday    13       12   2018   2018w50   2018m12 |
 48. |   460   263   13oct2018    Saturday    13       10   2018   2018w41   2018m10 |
 49. |   461   130   02jun2018    Saturday     2        6   2018   2018w22    2018m6 |
 50. |   462   306   25nov2018      Sunday    25       11   2018   2018w47   2018m11 |

3) The 50 highest day in terms of daily merits
Code:
. list merit id date dofw day month2 year week month

     +-------------------------------------------------------------------------------+
     | merit    id        date        dofw   day   month2   year      week     month |
     |-------------------------------------------------------------------------------|
  1. | 13018     1   24jan2018   Wednesday    24        1   2018    2018w4    2018m1 |
  2. |  6761     2   25jan2018    Thursday    25        1   2018    2018w4    2018m1 |
  3. |  4493     3   26jan2018      Friday    26        1   2018    2018w4    2018m1 |
  4. |  4192     7   30jan2018     Tuesday    30        1   2018    2018w5    2018m1 |
  5. |  3799     6   29jan2018      Monday    29        1   2018    2018w5    2018m1 |
     |-------------------------------------------------------------------------------|
  6. |  3489     4   27jan2018    Saturday    27        1   2018    2018w4    2018m1 |
  7. |  3188     5   28jan2018      Sunday    28        1   2018    2018w4    2018m1 |
  8. |  2820     8   31jan2018   Wednesday    31        1   2018    2018w5    2018m1 |
  9. |  2568    10   02feb2018      Friday     2        2   2018    2018w5    2018m2 |
 10. |  2545     9   01feb2018    Thursday     1        2   2018    2018w5    2018m2 |
     |-------------------------------------------------------------------------------|
 11. |  2513    22   14feb2018   Wednesday    14        2   2018    2018w7    2018m2 |
 12. |  2463   236   16sep2018      Sunday    16        9   2018   2018w37    2018m9 |
 13. |  2308    14   06feb2018     Tuesday     6        2   2018    2018w6    2018m2 |
 14. |  2167    12   04feb2018      Sunday     4        2   2018    2018w5    2018m2 |
 15. |  2141    15   07feb2018   Wednesday     7        2   2018    2018w6    2018m2 |
     |-------------------------------------------------------------------------------|
 16. |  2141    16   08feb2018    Thursday     8        2   2018    2018w6    2018m2 |
 17. |  2077    13   05feb2018      Monday     5        2   2018    2018w6    2018m2 |
 18. |  1991    23   15feb2018    Thursday    15        2   2018    2018w7    2018m2 |
 19. |  1867    11   03feb2018    Saturday     3        2   2018    2018w5    2018m2 |
 20. |  1862   237   17sep2018      Monday    17        9   2018   2018w38    2018m9 |
     |-------------------------------------------------------------------------------|
 21. |  1747    18   10feb2018    Saturday    10        2   2018    2018w6    2018m2 |
 22. |  1696    38   02mar2018      Friday     2        3   2018    2018w9    2018m3 |
 23. |  1608    25   17feb2018    Saturday    17        2   2018    2018w7    2018m2 |
 24. |  1579    21   13feb2018     Tuesday    13        2   2018    2018w7    2018m2 |
 25. |  1448    17   09feb2018      Friday     9        2   2018    2018w6    2018m2 |
     |-------------------------------------------------------------------------------|
 26. |  1442    19   11feb2018      Sunday    11        2   2018    2018w6    2018m2 |
 27. |  1411    24   16feb2018      Friday    16        2   2018    2018w7    2018m2 |
 28. |  1409    32   24feb2018    Saturday    24        2   2018    2018w8    2018m2 |
 29. |  1403    27   19feb2018      Monday    19        2   2018    2018w8    2018m2 |
 30. |  1382    34   26feb2018      Monday    26        2   2018    2018w9    2018m2 |
     |-------------------------------------------------------------------------------|
 31. |  1354    48   12mar2018      Monday    12        3   2018   2018w11    2018m3 |
 32. |  1333    37   01mar2018    Thursday     1        3   2018    2018w9    2018m3 |
 33. |  1331    20   12feb2018      Monday    12        2   2018    2018w7    2018m2 |
 34. |  1326    35   27feb2018     Tuesday    27        2   2018    2018w9    2018m2 |
 35. |  1322    56   20mar2018     Tuesday    20        3   2018   2018w12    2018m3 |
     |-------------------------------------------------------------------------------|
 36. |  1294   238   18sep2018     Tuesday    18        9   2018   2018w38    2018m9 |
 37. |  1289    26   18feb2018      Sunday    18        2   2018    2018w7    2018m2 |
 38. |  1279    30   22feb2018    Thursday    22        2   2018    2018w8    2018m2 |
 39. |  1268   239   19sep2018   Wednesday    19        9   2018   2018w38    2018m9 |
 40. |  1266    29   21feb2018   Wednesday    21        2   2018    2018w8    2018m2 |
     |-------------------------------------------------------------------------------|
 41. |  1245    41   05mar2018      Monday     5        3   2018   2018w10    2018m3 |
 42. |  1233    68   01apr2018      Sunday     1        4   2018   2018w13    2018m4 |
 43. |  1227    57   21mar2018   Wednesday    21        3   2018   2018w12    2018m3 |
 44. |  1186    33   25feb2018      Sunday    25        2   2018    2018w8    2018m2 |
 45. |  1169    28   20feb2018     Tuesday    20        2   2018    2018w8    2018m2 |
     |-------------------------------------------------------------------------------|
 46. |  1161   351   09jan2019   Wednesday     9        1   2019    2019w2    2019m1 |
 47. |  1159    50   14mar2018   Wednesday    14        3   2018   2018w11    2018m3 |
 48. |  1146    69   02apr2018      Monday     2        4   2018   2018w14    2018m4 |
 49. |  1138   153   25jun2018      Monday    25        6   2018   2018w26    2018m6 |
 50. |  1130    51   15mar2018    Thursday    15        3   2018   2018w11    2018m3 |

4) Intraday merits over days of week
- In medians of intraday merits, and GMT time, lowest days are Friday, Saturday and Sunday, at 542, 601 and 610 respectively.
- In means of intraday merits, and GMT time, lowest days are Friday, Saturday, and Thursday at 617, 623, and 677.
- The highest day in terms of means and medians are both Monday, at 746 and 658, respectively. In contrast,the lowest day in terms of means and medians are both Friday, at 617 and 542, respectively.
More details in the raw results below.

Code:
. tabstat merit, s(n mean sd p50 p25 p75 min max) format(%9.1f) by(dofw)

Summary for variables: merit
     by categories of: dofw

     dofw |         N      mean        sd       p50       p25       p75       min       max
----------+--------------------------------------------------------------------------------
   Sunday |      48.0     703.5     342.5     610.0     470.0     816.5     389.0    2463.0
   Monday |      49.0     745.8     307.9     658.0     536.0     822.0     312.0    1862.0
  Tuesday |      48.0     699.0     236.5     627.0     572.5     767.5     383.0    1326.0
Wednesday |      48.0     722.3     225.5     653.0     560.0     773.5     435.0    1268.0
 Thursday |      48.0     676.8     228.0     639.5     511.5     806.0     347.0    1333.0
   Friday |      48.0     616.4     237.0     542.0     469.0     715.5     348.0    1696.0
 Saturday |      48.0     622.8     222.4     600.5     460.5     691.5     316.0    1409.0
----------+--------------------------------------------------------------------------------
    Total |     337.0     684.0     262.6     620.0     514.0     774.0     312.0    2463.0
-------------------------------------------------------------------------------------------

Plots:
- Outliers displayed with red circles.

- Outliers non-displayed.
legendary
Activity: 2310
Merit: 4085
Farewell o_e_l_e_o
Converted dataset for intraday merits in 2019 (for first part of the full dataset in the year 2018, please check previous posts).

Code:
. list id merit date day month2 year week month dofw if year == 2019

     +-----------------------------------------------------------------------------+
     |  id   merit        date   day   month2   year     week    month        dofw |
     |-----------------------------------------------------------------------------|
343. | 343     603   01jan2019     1        1   2019   2019w1   2019m1     Tuesday |
344. | 344     526   02jan2019     2        1   2019   2019w1   2019m1   Wednesday |
345. | 345     394   03jan2019     3        1   2019   2019w1   2019m1    Thursday |
346. | 346    1082   04jan2019     4        1   2019   2019w1   2019m1      Friday |
347. | 347     835   05jan2019     5        1   2019   2019w1   2019m1    Saturday |
     |-----------------------------------------------------------------------------|
348. | 348     783   06jan2019     6        1   2019   2019w1   2019m1      Sunday |
349. | 349     570   07jan2019     7        1   2019   2019w1   2019m1      Monday |
350. | 350     782   08jan2019     8        1   2019   2019w2   2019m1     Tuesday |
351. | 351    1161   09jan2019     9        1   2019   2019w2   2019m1   Wednesday |
352. | 352     987   10jan2019    10        1   2019   2019w2   2019m1    Thursday |
     |-----------------------------------------------------------------------------|
353. | 353     878   11jan2019    11        1   2019   2019w2   2019m1      Friday |
354. | 354     711   12jan2019    12        1   2019   2019w2   2019m1    Saturday |
355. | 355     978   13jan2019    13        1   2019   2019w2   2019m1      Sunday |
356. | 356    1127   14jan2019    14        1   2019   2019w2   2019m1      Monday |
357. | 357     813   15jan2019    15        1   2019   2019w3   2019m1     Tuesday |
     |-----------------------------------------------------------------------------|
358. | 358     880   16jan2019    16        1   2019   2019w3   2019m1   Wednesday |
359. | 359    1018   17jan2019    17        1   2019   2019w3   2019m1    Thursday |
360. | 360     611   18jan2019    18        1   2019   2019w3   2019m1      Friday |
361. | 361     643   19jan2019    19        1   2019   2019w3   2019m1    Saturday |
362. | 362     658   20jan2019    20        1   2019   2019w3   2019m1      Sunday |
     |-----------------------------------------------------------------------------|
363. | 363     683   21jan2019    21        1   2019   2019w3   2019m1      Monday |
364. | 364     618   22jan2019    22        1   2019   2019w4   2019m1     Tuesday |
365. | 365     735   23jan2019    23        1   2019   2019w4   2019m1   Wednesday |
     +-----------------------------------------------------------------------------+
legendary
Activity: 3290
Merit: 16489
Thick-Skinned Gang Leader and Golden Feather 2021
Update:
Per day
Code:
Day 1: 13018 Merit
Day 2: 6761 Merit
Day 3: 4493 Merit
Day 4: 3489 Merit
Day 5: 3188 Merit
Day 6: 3799 Merit
Day 7: 4192 Merit
Day 8: 2820 Merit
Day 9: 2545 Merit
Day 10: 2568 Merit
Day 11: 1867 Merit
Day 12: 2167 Merit
Day 13: 2077 Merit
Day 14: 2308 Merit
Day 15: 2141 Merit
Day 16: 2141 Merit
Day 17: 1448 Merit
Day 18: 1747 Merit
Day 19: 1442 Merit
Day 20: 1331 Merit
Day 21: 1579 Merit
Day 22: 2513 Merit
Day 23: 1991 Merit
Day 24: 1411 Merit
Day 25: 1608 Merit
Day 26: 1289 Merit
Day 27: 1403 Merit
Day 28: 1169 Merit
Day 29: 1266 Merit
Day 30: 1279 Merit
Day 31: 1046 Merit
Day 32: 1409 Merit
Day 33: 1186 Merit
Day 34: 1382 Merit
Day 35: 1326 Merit
Day 36: 991 Merit
Day 37: 1333 Merit
Day 38: 1696 Merit
Day 39: 1089 Merit
Day 40: 989 Merit
Day 41: 1245 Merit
Day 42: 1074 Merit
Day 43: 1109 Merit
Day 44: 922 Merit
Day 45: 789 Merit
Day 46: 1023 Merit
Day 47: 1091 Merit
Day 48: 1354 Merit
Day 49: 994 Merit
Day 50: 1159 Merit
Day 51: 1130 Merit
Day 52: 840 Merit
Day 53: 797 Merit
Day 54: 1035 Merit
Day 55: 992 Merit
Day 56: 1322 Merit
Day 57: 1227 Merit
Day 58: 764 Merit
Day 59: 733 Merit
Day 60: 1045 Merit
Day 61: 858 Merit
Day 62: 808 Merit
Day 63: 879 Merit
Day 64: 848 Merit
Day 65: 1043 Merit
Day 66: 928 Merit
Day 67: 968 Merit
Day 68: 1233 Merit
Day 69: 1146 Merit
Day 70: 1080 Merit
Day 71: 1061 Merit
Day 72: 838 Merit
Day 73: 620 Merit
Day 74: 614 Merit
Day 75: 1056 Merit
Day 76: 884 Merit
Day 77: 768 Merit
Day 78: 963 Merit
Day 79: 917 Merit
Day 80: 682 Merit
Day 81: 681 Merit
Day 82: 592 Merit
Day 83: 609 Merit
Day 84: 628 Merit
Day 85: 681 Merit
Day 86: 848 Merit
Day 87: 563 Merit
Day 88: 522 Merit
Day 89: 880 Merit
Day 90: 709 Merit
Day 91: 626 Merit
Day 92: 687 Merit
Day 93: 675 Merit
Day 94: 583 Merit
Day 95: 623 Merit
Day 96: 682 Merit
Day 97: 822 Merit
Day 98: 741 Merit
Day 99: 759 Merit
Day 100: 747 Merit
Day 101: 597 Merit
Day 102: 688 Merit
Day 103: 599 Merit
Day 104: 898 Merit
Day 105: 618 Merit
Day 106: 761 Merit
Day 107: 475 Merit
Day 108: 867 Merit
Day 109: 415 Merit
Day 110: 719 Merit
Day 111: 674 Merit
Day 112: 700 Merit
Day 113: 652 Merit
Day 114: 574 Merit
Day 115: 542 Merit
Day 116: 587 Merit
Day 117: 617 Merit
Day 118: 626 Merit
Day 119: 639 Merit
Day 120: 531 Merit
Day 121: 554 Merit
Day 122: 370 Merit
Day 123: 575 Merit
Day 124: 559 Merit
Day 125: 589 Merit
Day 126: 638 Merit
Day 127: 599 Merit
Day 128: 687 Merit
Day 129: 698 Merit
Day 130: 461 Merit
Day 131: 511 Merit
Day 132: 773 Merit
Day 133: 731 Merit
Day 134: 504 Merit
Day 135: 506 Merit
Day 136: 766 Merit
Day 137: 672 Merit
Day 138: 575 Merit
Day 139: 519 Merit
Day 140: 422 Merit
Day 141: 786 Merit
Day 142: 528 Merit
Day 143: 445 Merit
Day 144: 654 Merit
Day 145: 464 Merit
Day 146: 601 Merit
Day 147: 662 Merit
Day 148: 707 Merit
Day 149: 705 Merit
Day 150: 774 Merit
Day 151: 643 Merit
Day 152: 829 Merit
Day 153: 1138 Merit
Day 154: 435 Merit
Day 155: 516 Merit
Day 156: 470 Merit
Day 157: 479 Merit
Day 158: 778 Merit
Day 159: 641 Merit
Day 160: 711 Merit
Day 161: 902 Merit
Day 162: 557 Merit
Day 163: 577 Merit
Day 164: 475 Merit
Day 165: 506 Merit
Day 166: 525 Merit
Day 167: 455 Merit
Day 168: 620 Merit
Day 169: 555 Merit
Day 170: 644 Merit
Day 171: 542 Merit
Day 172: 627 Merit
Day 173: 796 Merit
Day 174: 636 Merit
Day 175: 641 Merit
Day 176: 608 Merit
Day 177: 554 Merit
Day 178: 606 Merit
Day 179: 567 Merit
Day 180: 547 Merit
Day 181: 684 Merit
Day 182: 444 Merit
Day 183: 492 Merit
Day 184: 673 Merit
Day 185: 521 Merit
Day 186: 418 Merit
Day 187: 420 Merit
Day 188: 471 Merit
Day 189: 632 Merit
Day 190: 435 Merit
Day 191: 376 Merit
Day 192: 421 Merit
Day 193: 695 Merit
Day 194: 768 Merit
Day 195: 595 Merit
Day 196: 610 Merit
Day 197: 647 Merit
Day 198: 471 Merit
Day 199: 567 Merit
Day 200: 517 Merit
Day 201: 587 Merit
Day 202: 513 Merit
Day 203: 565 Merit
Day 204: 626 Merit
Day 205: 470 Merit
Day 206: 451 Merit
Day 207: 561 Merit
Day 208: 432 Merit
Day 209: 658 Merit
Day 210: 600 Merit
Day 211: 612 Merit
Day 212: 530 Merit
Day 213: 528 Merit
Day 214: 385 Merit
Day 215: 476 Merit
Day 216: 457 Merit
Day 217: 383 Merit
Day 218: 488 Merit
Day 219: 514 Merit
Day 220: 379 Merit
Day 221: 432 Merit
Day 222: 412 Merit
Day 223: 536 Merit
Day 224: 567 Merit
Day 225: 654 Merit
Day 226: 509 Merit
Day 227: 458 Merit
Day 228: 395 Merit
Day 229: 455 Merit
Day 230: 472 Merit
Day 231: 580 Merit
Day 232: 595 Merit
Day 233: 540 Merit
Day 234: 517 Merit
Day 235: 463 Merit
Day 236: 2463 Merit
Day 237: 1862 Merit
Day 238: 1294 Merit
Day 239: 1268 Merit
Day 240: 846 Merit
Day 241: 807 Merit
Day 242: 944 Merit
Day 243: 804 Merit
Day 244: 749 Merit
Day 245: 596 Merit
Day 246: 562 Merit
Day 247: 675 Merit
Day 248: 518 Merit
Day 249: 669 Merit
Day 250: 619 Merit
Day 251: 509 Merit
Day 252: 760 Merit
Day 253: 705 Merit
Day 254: 521 Merit
Day 255: 513 Merit
Day 256: 660 Merit
Day 257: 603 Merit
Day 258: 678 Merit
Day 259: 578 Merit
Day 260: 639 Merit
Day 261: 616 Merit
Day 262: 399 Merit
Day 263: 460 Merit
Day 264: 430 Merit
Day 265: 655 Merit
Day 266: 626 Merit
Day 267: 732 Merit
Day 268: 774 Merit
Day 269: 643 Merit
Day 270: 538 Merit
Day 271: 853 Merit
Day 272: 694 Merit
Day 273: 674 Merit
Day 274: 759 Merit
Day 275: 553 Merit
Day 276: 424 Merit
Day 277: 426 Merit
Day 278: 415 Merit
Day 279: 534 Merit
Day 280: 529 Merit
Day 281: 495 Merit
Day 282: 433 Merit
Day 283: 454 Merit
Day 284: 430 Merit
Day 285: 464 Merit
Day 286: 562 Merit
Day 287: 405 Merit
Day 288: 691 Merit
Day 289: 843 Merit
Day 290: 536 Merit
Day 291: 688 Merit
Day 292: 788 Merit
Day 293: 591 Merit
Day 294: 580 Merit
Day 295: 569 Merit
Day 296: 650 Merit
Day 297: 499 Merit
Day 298: 347 Merit
Day 299: 486 Merit
Day 300: 898 Merit
Day 301: 767 Merit
Day 302: 608 Merit
Day 303: 759 Merit
Day 304: 348 Merit
Day 305: 716 Merit
Day 306: 462 Merit
Day 307: 531 Merit
Day 308: 510 Merit
Day 309: 558 Merit
Day 310: 643 Merit
Day 311: 554 Merit
Day 312: 530 Merit
Day 313: 424 Merit
Day 314: 501 Merit
Day 315: 563 Merit
Day 316: 665 Merit
Day 317: 479 Merit
Day 318: 487 Merit
Day 319: 468 Merit
Day 320: 397 Merit
Day 321: 641 Merit
Day 322: 596 Merit
Day 323: 618 Merit
Day 324: 458 Merit
Day 325: 571 Merit
Day 326: 377 Merit
Day 327: 521 Merit
Day 328: 713 Merit
Day 329: 402 Merit
Day 330: 494 Merit
Day 331: 636 Merit
Day 332: 496 Merit
Day 333: 316 Merit
Day 334: 696 Merit
Day 335: 312 Merit
Day 336: 478 Merit
Day 337: 665 Merit
Day 338: 347 Merit
Day 339: 386 Merit
Day 340: 325 Merit
Day 341: 389 Merit
Day 342: 376 Merit
Day 343: 603 Merit
Day 344: 526 Merit
Day 345: 394 Merit
Day 346: 1082 Merit
Day 347: 835 Merit
Day 348: 783 Merit
Day 349: 570 Merit
Day 350: 782 Merit
Day 351: 1161 Merit
Day 352: 987 Merit
Day 353: 878 Merit
Day 354: 711 Merit
Day 355: 978 Merit
Day 356: 1127 Merit
Day 357: 813 Merit
Day 358: 880 Merit
Day 359: 1018 Merit
Day 360: 611 Merit
Day 361: 643 Merit
Day 362: 658 Merit
Day 363: 683 Merit
Day 364: 618 Merit
Day 365: 735 Merit
Day 366: 123 Merit (incomplete day)

Per week
Code:
Week 1: 38953 Merit
Week 2: 16373 Merit
Week 3: 11836 Merit
Week 4: 11406 Merit
Week 5: 8910 Merit
Week 6: 8434 Merit
Week 7: 7288 Merit
Week 8: 7283 Merit
Week 9: 6324 Merit
Week 10: 7276 Merit
Week 11: 5848 Merit
Week 12: 5082 Merit
Week 13: 4855 Merit
Week 14: 4821 Merit
Week 15: 4919 Merit
Week 16: 4619 Merit
Week 17: 4243 Merit
Week 18: 3825 Merit
Week 19: 4466 Merit
Week 20: 3978 Merit
Week 21: 4156 Merit
Week 22: 5237 Merit
Week 23: 4511 Merit
Week 24: 3733 Merit
Week 25: 4447 Merit
Week 26: 4018 Merit
Week 27: 3682 Merit
Week 28: 3918 Merit
Week 29: 3883 Merit
Week 30: 3811 Merit
Week 31: 3377 Merit
Week 32: 3336 Merit
Week 33: 3536 Merit
Week 34: 7743 Merit
Week 35: 6023 Merit
Week 36: 4318 Merit
Week 37: 4305 Merit
Week 38: 3831 Merit
Week 39: 4916 Merit
Week 40: 3646 Merit
Week 41: 3249 Merit
Week 42: 4728 Merit
Week 43: 4249 Merit
Week 44: 3945 Merit
Week 45: 3783 Merit
Week 46: 3755 Merit
Week 47: 3668 Merit
Week 48: 3472 Merit
Week 49: 3119 Merit
Week 50: 4978 Merit
Week 51: 6666 Merit
Week 52: 5117 Merit
Week 53: 859 Merit (incomplete week)
legendary
Activity: 2310
Merit: 4085
Farewell o_e_l_e_o
Intra-week merits converted dataset:

Code:
. list week merit

     +-----------------+
     |    week   merit |
     |-----------------|
  1. |  2018w4   30949 |
  2. |  2018w5   19958 |
  3. |  2018w6   13304 |
  4. |  2018w7   11722 |
  5. |  2018w8    8758 |
     |-----------------|
  6. |  2018w9    8806 |
  7. | 2018w10    7253 |
  8. | 2018w11    7309 |
  9. | 2018w12    6941 |
 10. | 2018w13    6707 |
     |-----------------|
 11. | 2018w14    6415 |
 12. | 2018w15    5487 |
 13. | 2018w16    4631 |
 14. | 2018w17    4585 |
 15. | 2018w18    4953 |
     |-----------------|
 16. | 2018w19    4753 |
 17. | 2018w20    4346 |
 18. | 2018w21    3854 |
 19. | 2018w22    4183 |
 20. | 2018w23    4527 |
     |-----------------|
 21. | 2018w24    3818 |
 22. | 2018w25    4921 |
 23. | 2018w26    4457 |
 24. | 2018w27    4253 |
 25. | 2018w28    4239 |
     |-----------------|
 26. | 2018w29    4159 |
 27. | 2018w30    3652 |
 28. | 2018w31    3798 |
 29. | 2018w32    3994 |
 30. | 2018w33    3618 |
     |-----------------|
 31. | 2018w34    3789 |
 32. | 2018w35    3065 |
 33. | 2018w36    3574 |
 34. | 2018w37    5630 |
 35. | 2018w38    7825 |
     |-----------------|
 36. | 2018w39    4388 |
 37. | 2018w40    4271 |
 38. | 2018w41    3800 |
 39. | 2018w42    4821 |
 40. | 2018w43    3945 |
     |-----------------|
 41. | 2018w44    3339 |
 42. | 2018w45    4513 |
 43. | 2018w46    3722 |
 44. | 2018w47    4558 |
 45. | 2018w48    3750 |
     |-----------------|
 46. | 2018w49    3560 |
 47. | 2018w50    3782 |
 48. | 2018w51    3753 |
 49. | 2018w52    3278 |
 50. |  2019w1    4793 |
     |-----------------|
 51. |  2019w2    6624 |
     +-----------------+

List of intra-week merits in descending order
Code:
. list week merit

     +-----------------+
     |    week   merit |
     |-----------------|
  1. |  2018w4   30949 |
  2. |  2018w5   19958 |
  3. |  2018w6   13304 |
  4. |  2018w7   11722 |
  5. |  2018w9    8806 |
     |-----------------|
  6. |  2018w8    8758 |
  7. | 2018w38    7825 |
  8. | 2018w11    7309 |
  9. | 2018w10    7253 |
 10. | 2018w12    6941 |
     |-----------------|
 11. | 2018w13    6707 |
 12. |  2019w2    6624 |
 13. | 2018w14    6415 |
 14. | 2018w37    5630 |
 15. | 2018w15    5487 |
     |-----------------|
 16. | 2018w18    4953 |
 17. | 2018w25    4921 |
 18. | 2018w42    4821 |
 19. |  2019w1    4793 |
 20. | 2018w19    4753 |
     |-----------------|
 21. | 2018w16    4631 |
 22. | 2018w17    4585 |
 23. | 2018w47    4558 |
 24. | 2018w23    4527 |
 25. | 2018w45    4513 |
     |-----------------|
 26. | 2018w26    4457 |
 27. | 2018w39    4388 |
 28. | 2018w20    4346 |
 29. | 2018w40    4271 |
 30. | 2018w27    4253 |
     |-----------------|
 31. | 2018w28    4239 |
 32. | 2018w22    4183 |
 33. | 2018w29    4159 |
 34. | 2018w32    3994 |
 35. | 2018w43    3945 |
     |-----------------|
 36. | 2018w21    3854 |
 37. | 2018w24    3818 |
 38. | 2018w41    3800 |
 39. | 2018w31    3798 |
 40. | 2018w34    3789 |
     |-----------------|
 41. | 2018w50    3782 |
 42. | 2018w51    3753 |
 43. | 2018w48    3750 |
 44. | 2018w46    3722 |
 45. | 2018w30    3652 |
     |-----------------|
 46. | 2018w33    3618 |
 47. | 2018w36    3574 |
 48. | 2018w49    3560 |
 49. | 2018w44    3339 |
 50. | 2018w52    3278 |
     |-----------------|
 51. | 2018w35    3065 |
     +-----------------+

List of intra-week merits in ascending order
Code:
. list week merit

     +-----------------+
     |    week   merit |
     |-----------------|
  1. | 2018w35    3065 |
  2. | 2018w52    3278 |
  3. | 2018w44    3339 |
  4. | 2018w49    3560 |
  5. | 2018w36    3574 |
     |-----------------|
  6. | 2018w33    3618 |
  7. | 2018w30    3652 |
  8. | 2018w46    3722 |
  9. | 2018w48    3750 |
 10. | 2018w51    3753 |
     |-----------------|
 11. | 2018w50    3782 |
 12. | 2018w34    3789 |
 13. | 2018w31    3798 |
 14. | 2018w41    3800 |
 15. | 2018w24    3818 |
     |-----------------|
 16. | 2018w21    3854 |
 17. | 2018w43    3945 |
 18. | 2018w32    3994 |
 19. | 2018w29    4159 |
 20. | 2018w22    4183 |
     |-----------------|
 21. | 2018w28    4239 |
 22. | 2018w27    4253 |
 23. | 2018w40    4271 |
 24. | 2018w20    4346 |
 25. | 2018w39    4388 |
     |-----------------|
 26. | 2018w26    4457 |
 27. | 2018w45    4513 |
 28. | 2018w23    4527 |
 29. | 2018w47    4558 |
 30. | 2018w17    4585 |
     |-----------------|
 31. | 2018w16    4631 |
 32. | 2018w19    4753 |
 33. |  2019w1    4793 |
 34. | 2018w42    4821 |
 35. | 2018w25    4921 |
     |-----------------|
 36. | 2018w18    4953 |
 37. | 2018w15    5487 |
 38. | 2018w37    5630 |
 39. | 2018w14    6415 |
 40. |  2019w2    6624 |
     |-----------------|
 41. | 2018w13    6707 |
 42. | 2018w12    6941 |
 43. | 2018w10    7253 |
 44. | 2018w11    7309 |
 45. | 2018w38    7825 |
     |-----------------|
 46. |  2018w8    8758 |
 47. |  2018w9    8806 |
 48. |  2018w7   11722 |
 49. |  2018w6   13304 |
 50. |  2018w5   19958 |
     |-----------------|
 51. |  2018w4   30949 |
     +-----------------+
legendary
Activity: 2310
Merit: 4085
Farewell o_e_l_e_o
Update:


ABSTRACT
Notes:
- The asbstract describes figures of intraday merits over the period from 19/2/2018 to 14/01/2019 (truncated dataset);
- Days from 24/1/2018 to 18/2/2018 truncated due to highly potential outliers; and days after 14/01/2019 truncated as well due to incomplete week (the third week of 2019 -2019w3);
- Statistics presented in the post are for truncated dataset.

(1) Potential outliers are days that have intraday total merits beyond 123 or 1163;
(2) Median of intraday merits over the period is 619, whilst the interquartile range is from 513 to 773;
(3) Friday is the day over weeks has lowest intraday merits in terms of both median and mean, at 542, and 617, respectively.
In contrast, Monday is the day over weeks has highest intraday merits in terms of both median and mean, at 748 and 657, respectively.




1) Time series plot
I used full dataset (only dropped the first two days due to extremely high merits distributed during those days), since 24/1/2018 to 14/1/2019 to draw the below plot

2) Basic statistics
- Mean +/- sd:  846 +/- 901
- Median (interquartile range): 637 (519 - 845)
- Min - max: 312 - 2463.

Let's compared with statistics for the previous report.

From the full dataset, we can easily identify potential outliers via the following formula:
IQR = Q3 – Q1 = 845 - 519 = 326;
1.5*IQR = 1.5*326 = 489
Potential outliers:
-   Above Q3 +1.5*IQR = 845 + 489 = 1334
-   Below Q1 – 1.5*IQR = 519 – 489 = 30
Let's see how many days that have total intraday merits beyond 30 or 1334?
Code:
. count if merit > 1334 | merit < 30 & merit != .
  31
In total, 31 days are extremely potential outliers, and none of them occured recent weeks (only days before 18/9/2018).
Code:
. list id date merit if merit > 1334 | merit < 30 & merit != .

     +-------------------------+
     |  id        date   merit |
     |-------------------------|
  1. |   1   24jan2018   13018 |
  2. |   2   25jan2018    6761 |
  3. |   3   26jan2018    4493 |
  4. |   4   27jan2018    3489 |
  5. |   5   28jan2018    3188 |
     |-------------------------|
  6. |   6   29jan2018    3799 |
  7. |   7   30jan2018    4192 |
  8. |   8   31jan2018    2820 |
  9. |   9   01feb2018    2545 |
 10. |  10   02feb2018    2568 |
     |-------------------------|
 11. |  11   03feb2018    1867 |
 12. |  12   04feb2018    2167 |
 13. |  13   05feb2018    2077 |
 14. |  14   06feb2018    2308 |
 15. |  15   07feb2018    2141 |
     |-------------------------|
 16. |  16   08feb2018    2141 |
 17. |  17   09feb2018    1448 |
 18. |  18   10feb2018    1747 |
 19. |  19   11feb2018    1442 |
 21. |  21   13feb2018    1579 |
     |-------------------------|
 22. |  22   14feb2018    2513 |
 23. |  23   15feb2018    1991 |
 24. |  24   16feb2018    1411 |
 25. |  25   17feb2018    1608 |
 27. |  27   19feb2018    1403 |
     |-------------------------|
 32. |  32   24feb2018    1409 |
 34. |  34   26feb2018    1382 |
 38. |  38   02mar2018    1696 |
 48. |  48   12mar2018    1354 |
236. | 236   16sep2018    2463 |
     |-------------------------|
237. | 237   17sep2018    1862 |
     +-------------------------+

Let's identify potential outliers of the truncated dataset (from 19/2/2018 to 14/1/2019):
IQR = Q3 – Q1 = 773 – 513 = 260;
1.5*IQR = 1.5*260  = 390
Potential outliers:
-   Above Q3 +1.5*IQR = 773 + 390 = 1163
-   Below Q1 – 1.5*IQR = 513 - 390 = 123
Potential outliers are days that have intraday merits beyond 123 or 1163.
Let's see how many days that have total intraday merits beyond 123 or 1163 ?
Code:
. count if (merit >= 1163 | merit <= 123) & merit != . & id >26
  19
19 outliers in total, and there is no potential outlier day happened in early weeks of 2019.
Code:
. list id date merit if (merit >= 1163 | merit <= 123) & merit != . & id >26

     +-------------------------+
     |  id        date   merit |
     |-------------------------|
 27. |  27   19feb2018    1403 |
 28. |  28   20feb2018    1169 |
 29. |  29   21feb2018    1266 |
 30. |  30   22feb2018    1279 |
 32. |  32   24feb2018    1409 |
     |-------------------------|
 33. |  33   25feb2018    1186 |
 34. |  34   26feb2018    1382 |
 35. |  35   27feb2018    1326 |
 37. |  37   01mar2018    1333 |
 38. |  38   02mar2018    1696 |
     |-------------------------|
 41. |  41   05mar2018    1245 |
 48. |  48   12mar2018    1354 |
 56. |  56   20mar2018    1322 |
 57. |  57   21mar2018    1227 |
 68. |  68   01apr2018    1233 |
     |-------------------------|
236. | 236   16sep2018    2463 |
237. | 237   17sep2018    1862 |
238. | 238   18sep2018    1294 |
239. | 239   19sep2018    1268 |
     +-------------------------+

2) The 50 lowest day in terms of daily merits
Code:
. list merit id date dofw day month2 year week month

     +-------------------------------------------------------------------------------+
     | merit    id        date        dofw   day   month2   year      week     month |
     |-------------------------------------------------------------------------------|
  1. |   312   335   24dec2018      Monday    24       12   2018   2018w52   2018m12 |
  2. |   316   333   22dec2018    Saturday    22       12   2018   2018w51   2018m12 |
  3. |   325   340   29dec2018    Saturday    29       12   2018   2018w52   2018m12 |
  4. |   347   338   27dec2018    Thursday    27       12   2018   2018w52   2018m12 |
  5. |   347   298   17nov2018    Saturday    17       11   2018   2018w46   2018m11 |
     |-------------------------------------------------------------------------------|
  6. |   348   304   23nov2018      Friday    23       11   2018   2018w47   2018m11 |
  7. |   370   122   25may2018      Friday    25        5   2018   2018w21    2018m5 |
  8. |   376   191   02aug2018    Thursday     2        8   2018   2018w31    2018m8 |
  9. |   376   342   31dec2018      Monday    31       12   2018   2018w52   2018m12 |
 10. |   377   326   15dec2018    Saturday    15       12   2018   2018w50   2018m12 |
     |-------------------------------------------------------------------------------|
 11. |   379   220   31aug2018      Friday    31        8   2018   2018w35    2018m8 |
 12. |   383   217   28aug2018     Tuesday    28        8   2018   2018w35    2018m8 |
 13. |   385   214   25aug2018    Saturday    25        8   2018   2018w34    2018m8 |
 14. |   386   339   28dec2018      Friday    28       12   2018   2018w52   2018m12 |
 15. |   389   341   30dec2018      Sunday    30       12   2018   2018w52   2018m12 |
     |-------------------------------------------------------------------------------|
 16. |   394   345   03jan2019    Thursday     3        1   2019    2019w1    2019m1 |
 17. |   395   228   08sep2018    Saturday     8        9   2018   2018w36    2018m9 |
 18. |   397   320   09dec2018      Sunday     9       12   2018   2018w49   2018m12 |
 19. |   399   262   12oct2018      Friday    12       10   2018   2018w41   2018m10 |
 20. |   402   329   18dec2018     Tuesday    18       12   2018   2018w51   2018m12 |
     |-------------------------------------------------------------------------------|
 21. |   405   287   06nov2018     Tuesday     6       11   2018   2018w45   2018m11 |
 22. |   412   222   02sep2018      Sunday     2        9   2018   2018w35    2018m9 |
 23. |   415   278   28oct2018      Sunday    28       10   2018   2018w43   2018m10 |
 24. |   415   109   12may2018    Saturday    12        5   2018   2018w19    2018m5 |
 25. |   418   186   28jul2018    Saturday    28        7   2018   2018w30    2018m7 |
     |-------------------------------------------------------------------------------|
 26. |   420   187   29jul2018      Sunday    29        7   2018   2018w30    2018m7 |
 27. |   421   192   03aug2018      Friday     3        8   2018   2018w31    2018m8 |
 28. |   422   140   12jun2018     Tuesday    12        6   2018   2018w24    2018m6 |
 29. |   424   313   02dec2018      Sunday     2       12   2018   2018w48   2018m12 |
 30. |   424   276   26oct2018      Friday    26       10   2018   2018w43   2018m10 |
     |-------------------------------------------------------------------------------|
 31. |   426   277   27oct2018    Saturday    27       10   2018   2018w43   2018m10 |
 32. |   430   284   03nov2018    Saturday     3       11   2018   2018w44   2018m11 |
 33. |   430   264   14oct2018      Sunday    14       10   2018   2018w41   2018m10 |
 34. |   432   221   01sep2018    Saturday     1        9   2018   2018w35    2018m9 |
 35. |   432   208   19aug2018      Sunday    19        8   2018   2018w33    2018m8 |
     |-------------------------------------------------------------------------------|
 36. |   433   282   01nov2018    Thursday     1       11   2018   2018w44   2018m11 |
 37. |   435   154   26jun2018     Tuesday    26        6   2018   2018w26    2018m6 |
 38. |   435   190   01aug2018   Wednesday     1        8   2018   2018w31    2018m8 |
 39. |   444   182   24jul2018     Tuesday    24        7   2018   2018w30    2018m7 |
 40. |   445   143   15jun2018      Friday    15        6   2018   2018w24    2018m6 |
     |-------------------------------------------------------------------------------|
 41. |   451   206   17aug2018      Friday    17        8   2018   2018w33    2018m8 |
 42. |   454   283   02nov2018      Friday     2       11   2018   2018w44   2018m11 |
 43. |   455   167   09jul2018      Monday     9        7   2018   2018w28    2018m7 |
 44. |   455   229   09sep2018      Sunday     9        9   2018   2018w36    2018m9 |
 45. |   457   216   27aug2018      Monday    27        8   2018   2018w35    2018m8 |
     |-------------------------------------------------------------------------------|
 46. |   458   324   13dec2018    Thursday    13       12   2018   2018w50   2018m12 |
 47. |   458   227   07sep2018      Friday     7        9   2018   2018w36    2018m9 |
 48. |   460   263   13oct2018    Saturday    13       10   2018   2018w41   2018m10 |
 49. |   461   130   02jun2018    Saturday     2        6   2018   2018w22    2018m6 |
 50. |   462   306   25nov2018      Sunday    25       11   2018   2018w47   2018m11 |
     |-------------------------------------------------------------------------------|

3) The 50 highest day in terms of daily merits
Code:
. list merit id date dofw day month2 year week month

     +-------------------------------------------------------------------------------+
     | merit    id        date        dofw   day   month2   year      week     month |
     |-------------------------------------------------------------------------------|
  1. | 13018     1   24jan2018   Wednesday    24        1   2018    2018w4    2018m1 |
  2. |  6761     2   25jan2018    Thursday    25        1   2018    2018w4    2018m1 |
  3. |  4493     3   26jan2018      Friday    26        1   2018    2018w4    2018m1 |
  4. |  4192     7   30jan2018     Tuesday    30        1   2018    2018w5    2018m1 |
  5. |  3799     6   29jan2018      Monday    29        1   2018    2018w5    2018m1 |
     |-------------------------------------------------------------------------------|
  6. |  3489     4   27jan2018    Saturday    27        1   2018    2018w4    2018m1 |
  7. |  3188     5   28jan2018      Sunday    28        1   2018    2018w4    2018m1 |
  8. |  2820     8   31jan2018   Wednesday    31        1   2018    2018w5    2018m1 |
  9. |  2568    10   02feb2018      Friday     2        2   2018    2018w5    2018m2 |
 10. |  2545     9   01feb2018    Thursday     1        2   2018    2018w5    2018m2 |
     |-------------------------------------------------------------------------------|
 11. |  2513    22   14feb2018   Wednesday    14        2   2018    2018w7    2018m2 |
 12. |  2463   236   16sep2018      Sunday    16        9   2018   2018w37    2018m9 |
 13. |  2308    14   06feb2018     Tuesday     6        2   2018    2018w6    2018m2 |
 14. |  2167    12   04feb2018      Sunday     4        2   2018    2018w5    2018m2 |
 15. |  2141    16   08feb2018    Thursday     8        2   2018    2018w6    2018m2 |
     |-------------------------------------------------------------------------------|
 16. |  2141    15   07feb2018   Wednesday     7        2   2018    2018w6    2018m2 |
 17. |  2077    13   05feb2018      Monday     5        2   2018    2018w6    2018m2 |
 18. |  1991    23   15feb2018    Thursday    15        2   2018    2018w7    2018m2 |
 19. |  1867    11   03feb2018    Saturday     3        2   2018    2018w5    2018m2 |
 20. |  1862   237   17sep2018      Monday    17        9   2018   2018w38    2018m9 |
     |-------------------------------------------------------------------------------|
 21. |  1747    18   10feb2018    Saturday    10        2   2018    2018w6    2018m2 |
 22. |  1696    38   02mar2018      Friday     2        3   2018    2018w9    2018m3 |
 23. |  1608    25   17feb2018    Saturday    17        2   2018    2018w7    2018m2 |
 24. |  1579    21   13feb2018     Tuesday    13        2   2018    2018w7    2018m2 |
 25. |  1448    17   09feb2018      Friday     9        2   2018    2018w6    2018m2 |
     |-------------------------------------------------------------------------------|
 26. |  1442    19   11feb2018      Sunday    11        2   2018    2018w6    2018m2 |
 27. |  1411    24   16feb2018      Friday    16        2   2018    2018w7    2018m2 |
 28. |  1409    32   24feb2018    Saturday    24        2   2018    2018w8    2018m2 |
 29. |  1403    27   19feb2018      Monday    19        2   2018    2018w8    2018m2 |
 30. |  1382    34   26feb2018      Monday    26        2   2018    2018w9    2018m2 |
     |-------------------------------------------------------------------------------|
 31. |  1354    48   12mar2018      Monday    12        3   2018   2018w11    2018m3 |
 32. |  1333    37   01mar2018    Thursday     1        3   2018    2018w9    2018m3 |
 33. |  1331    20   12feb2018      Monday    12        2   2018    2018w7    2018m2 |
 34. |  1326    35   27feb2018     Tuesday    27        2   2018    2018w9    2018m2 |
 35. |  1322    56   20mar2018     Tuesday    20        3   2018   2018w12    2018m3 |
     |-------------------------------------------------------------------------------|
 36. |  1294   238   18sep2018     Tuesday    18        9   2018   2018w38    2018m9 |
 37. |  1289    26   18feb2018      Sunday    18        2   2018    2018w7    2018m2 |
 38. |  1279    30   22feb2018    Thursday    22        2   2018    2018w8    2018m2 |
 39. |  1268   239   19sep2018   Wednesday    19        9   2018   2018w38    2018m9 |
 40. |  1266    29   21feb2018   Wednesday    21        2   2018    2018w8    2018m2 |
     |-------------------------------------------------------------------------------|
 41. |  1245    41   05mar2018      Monday     5        3   2018   2018w10    2018m3 |
 42. |  1233    68   01apr2018      Sunday     1        4   2018   2018w13    2018m4 |
 43. |  1227    57   21mar2018   Wednesday    21        3   2018   2018w12    2018m3 |
 44. |  1186    33   25feb2018      Sunday    25        2   2018    2018w8    2018m2 |
 45. |  1169    28   20feb2018     Tuesday    20        2   2018    2018w8    2018m2 |
     |-------------------------------------------------------------------------------|
 46. |  1161   351   09jan2019   Wednesday     9        1   2019    2019w2    2019m1 |
 47. |  1159    50   14mar2018   Wednesday    14        3   2018   2018w11    2018m3 |
 48. |  1146    69   02apr2018      Monday     2        4   2018   2018w14    2018m4 |
 49. |  1138   153   25jun2018      Monday    25        6   2018   2018w26    2018m6 |
 50. |  1130    51   15mar2018    Thursday    15        3   2018   2018w11    2018m3 |
     |-------------------------------------------------------------------------------|

4) Intraday merits over days of week
- In medians of intraday merits, and GMT time, lowest days are Friday, Saturday and Sunday, at 542, 587 and 603 respectively.
- In means of intraday merits, and GMT time, lowest days are Friday, Saturday, and Thursday at 617, 623, and 670.
- The highest day in terms of means and medians are both Monday, at 657 and 748, respectively.
More details in the raw results below.

Code:
. tabstat merit, s(n mean sd p50 p25 p75 min max) format(%9.1f) by(dofw)

Summary for variables: merit
     by categories of: dofw

     dofw |         N      mean        sd       p50       p25       p75       min       max
----------+--------------------------------------------------------------------------------
   Sunday |      47.0     704.4     346.2     603.0     464.0     829.0     389.0    2463.0
   Monday |      48.0     747.1     311.0     656.5     535.0     853.0     312.0    1862.0
  Tuesday |      47.0     696.6     238.4     626.0     567.0     767.0     383.0    1326.0
Wednesday |      47.0     719.0     226.7     652.0     558.0     761.0     435.0    1268.0
 Thursday |      47.0     669.5     224.8     636.0     509.0     774.0     347.0    1333.0
   Friday |      47.0     616.6     239.5     542.0     463.0     733.0     348.0    1696.0
 Saturday |      47.0     622.3     224.8     587.0     460.0     695.0     316.0    1409.0
----------+--------------------------------------------------------------------------------
    Total |     330.0     682.4     264.4     618.5     513.0     773.0     312.0    2463.0
-------------------------------------------------------------------------------------------

Plots:
- Outliers displayed with red circles.

- Outliers non-displayed.
legendary
Activity: 2310
Merit: 4085
Farewell o_e_l_e_o
Update:

Intraday merits

Converted dataset (since 1st Jan. 2019)
Code:
. list id merit date day month2 year week month dofw if year == 2019

     +-----------------------------------------------------------------------------+
     |  id   merit        date   day   month2   year     week    month        dofw |
     |-----------------------------------------------------------------------------|
343. | 343     603   01jan2019     1        1   2019   2019w1   2019m1     Tuesday |
344. | 344     526   02jan2019     2        1   2019   2019w1   2019m1   Wednesday |
345. | 345     394   03jan2019     3        1   2019   2019w1   2019m1    Thursday |
346. | 346    1082   04jan2019     4        1   2019   2019w1   2019m1      Friday |
347. | 347     835   05jan2019     5        1   2019   2019w1   2019m1    Saturday |
     |-----------------------------------------------------------------------------|
348. | 348     783   06jan2019     6        1   2019   2019w1   2019m1      Sunday |
349. | 349     570   07jan2019     7        1   2019   2019w1   2019m1      Monday |
350. | 350     782   08jan2019     8        1   2019   2019w2   2019m1     Tuesday |
351. | 351    1161   09jan2019     9        1   2019   2019w2   2019m1   Wednesday |
352. | 352     987   10jan2019    10        1   2019   2019w2   2019m1    Thursday |
     |-----------------------------------------------------------------------------|
353. | 353     878   11jan2019    11        1   2019   2019w2   2019m1      Friday |
354. | 354     711   12jan2019    12        1   2019   2019w2   2019m1    Saturday |
355. | 355     978   13jan2019    13        1   2019   2019w2   2019m1      Sunday |
356. | 356    1127   14jan2019    14        1   2019   2019w2   2019m1      Monday |
357. | 357     813   15jan2019    15        1   2019   2019w3   2019m1     Tuesday |
     |-----------------------------------------------------------------------------|
358. | 358     880   16jan2019    16        1   2019   2019w3   2019m1   Wednesday |
     +-----------------------------------------------------------------------------+
legendary
Activity: 2310
Merit: 4085
Farewell o_e_l_e_o
Sure, I will do it later days.
Taking a quick glance at raw data within the recent two weeks, intraday merits have risen considerably.
I guess there are many factors contributed to the new wave of significant rises, including new merit sources added, the re-allocation of sMerits for each merit source, and the new Trust system.
Together, they made total intraday-merits rose.

For median and interquartile range [that I always prefer to use them rather than mean, and standard deviation. Because outliers will be removed when using median and interquartile range statistics], they take at least more than 6 days to retrieve statistics, hence I will show you statistics on before and after period (the day 9th of January will be used as a cut-off day) one or two weeks later.
Excellent work. Could you make a weekly breakdown of the next 2-3 weeks (and compare them to average weekly data) as I am certain there will be DT shenanigans in the making? Maybe even per section/user outliers if possible.

What did you mean? 'DT shenanigans'?
DT shenanigans in the making?


Thank you so much again for dumping data for me.
Update up to yesterday's data dump:
...
legendary
Activity: 3290
Merit: 16489
Thick-Skinned Gang Leader and Golden Feather 2021
Update up to yesterday's data dump:
Per day
Code:
Day 1: 13018 Merit
Day 2: 6761 Merit
Day 3: 4493 Merit
Day 4: 3489 Merit
Day 5: 3188 Merit
Day 6: 3799 Merit
Day 7: 4192 Merit
Day 8: 2820 Merit
Day 9: 2545 Merit
Day 10: 2568 Merit
Day 11: 1867 Merit
Day 12: 2167 Merit
Day 13: 2077 Merit
Day 14: 2308 Merit
Day 15: 2141 Merit
Day 16: 2141 Merit
Day 17: 1448 Merit
Day 18: 1747 Merit
Day 19: 1442 Merit
Day 20: 1331 Merit
Day 21: 1579 Merit
Day 22: 2513 Merit
Day 23: 1991 Merit
Day 24: 1411 Merit
Day 25: 1608 Merit
Day 26: 1289 Merit
Day 27: 1403 Merit
Day 28: 1169 Merit
Day 29: 1266 Merit
Day 30: 1279 Merit
Day 31: 1046 Merit
Day 32: 1409 Merit
Day 33: 1186 Merit
Day 34: 1382 Merit
Day 35: 1326 Merit
Day 36: 991 Merit
Day 37: 1333 Merit
Day 38: 1696 Merit
Day 39: 1089 Merit
Day 40: 989 Merit
Day 41: 1245 Merit
Day 42: 1074 Merit
Day 43: 1109 Merit
Day 44: 922 Merit
Day 45: 789 Merit
Day 46: 1023 Merit
Day 47: 1091 Merit
Day 48: 1354 Merit
Day 49: 994 Merit
Day 50: 1159 Merit
Day 51: 1130 Merit
Day 52: 840 Merit
Day 53: 797 Merit
Day 54: 1035 Merit
Day 55: 992 Merit
Day 56: 1322 Merit
Day 57: 1227 Merit
Day 58: 764 Merit
Day 59: 733 Merit
Day 60: 1045 Merit
Day 61: 858 Merit
Day 62: 808 Merit
Day 63: 879 Merit
Day 64: 848 Merit
Day 65: 1043 Merit
Day 66: 928 Merit
Day 67: 968 Merit
Day 68: 1233 Merit
Day 69: 1146 Merit
Day 70: 1080 Merit
Day 71: 1061 Merit
Day 72: 838 Merit
Day 73: 620 Merit
Day 74: 614 Merit
Day 75: 1056 Merit
Day 76: 884 Merit
Day 77: 768 Merit
Day 78: 963 Merit
Day 79: 917 Merit
Day 80: 682 Merit
Day 81: 681 Merit
Day 82: 592 Merit
Day 83: 609 Merit
Day 84: 628 Merit
Day 85: 681 Merit
Day 86: 848 Merit
Day 87: 563 Merit
Day 88: 522 Merit
Day 89: 880 Merit
Day 90: 709 Merit
Day 91: 626 Merit
Day 92: 687 Merit
Day 93: 675 Merit
Day 94: 583 Merit
Day 95: 623 Merit
Day 96: 682 Merit
Day 97: 822 Merit
Day 98: 741 Merit
Day 99: 759 Merit
Day 100: 747 Merit
Day 101: 597 Merit
Day 102: 688 Merit
Day 103: 599 Merit
Day 104: 898 Merit
Day 105: 618 Merit
Day 106: 761 Merit
Day 107: 475 Merit
Day 108: 867 Merit
Day 109: 415 Merit
Day 110: 719 Merit
Day 111: 674 Merit
Day 112: 700 Merit
Day 113: 652 Merit
Day 114: 574 Merit
Day 115: 542 Merit
Day 116: 587 Merit
Day 117: 617 Merit
Day 118: 626 Merit
Day 119: 639 Merit
Day 120: 531 Merit
Day 121: 554 Merit
Day 122: 370 Merit
Day 123: 575 Merit
Day 124: 559 Merit
Day 125: 589 Merit
Day 126: 638 Merit
Day 127: 599 Merit
Day 128: 687 Merit
Day 129: 698 Merit
Day 130: 461 Merit
Day 131: 511 Merit
Day 132: 773 Merit
Day 133: 731 Merit
Day 134: 504 Merit
Day 135: 506 Merit
Day 136: 766 Merit
Day 137: 672 Merit
Day 138: 575 Merit
Day 139: 519 Merit
Day 140: 422 Merit
Day 141: 786 Merit
Day 142: 528 Merit
Day 143: 445 Merit
Day 144: 654 Merit
Day 145: 464 Merit
Day 146: 601 Merit
Day 147: 662 Merit
Day 148: 707 Merit
Day 149: 705 Merit
Day 150: 774 Merit
Day 151: 643 Merit
Day 152: 829 Merit
Day 153: 1138 Merit
Day 154: 435 Merit
Day 155: 516 Merit
Day 156: 470 Merit
Day 157: 479 Merit
Day 158: 778 Merit
Day 159: 641 Merit
Day 160: 711 Merit
Day 161: 902 Merit
Day 162: 557 Merit
Day 163: 577 Merit
Day 164: 475 Merit
Day 165: 506 Merit
Day 166: 525 Merit
Day 167: 455 Merit
Day 168: 620 Merit
Day 169: 555 Merit
Day 170: 644 Merit
Day 171: 542 Merit
Day 172: 627 Merit
Day 173: 796 Merit
Day 174: 636 Merit
Day 175: 641 Merit
Day 176: 608 Merit
Day 177: 554 Merit
Day 178: 606 Merit
Day 179: 567 Merit
Day 180: 547 Merit
Day 181: 684 Merit
Day 182: 444 Merit
Day 183: 492 Merit
Day 184: 673 Merit
Day 185: 521 Merit
Day 186: 418 Merit
Day 187: 420 Merit
Day 188: 471 Merit
Day 189: 632 Merit
Day 190: 435 Merit
Day 191: 376 Merit
Day 192: 421 Merit
Day 193: 695 Merit
Day 194: 768 Merit
Day 195: 595 Merit
Day 196: 610 Merit
Day 197: 647 Merit
Day 198: 471 Merit
Day 199: 567 Merit
Day 200: 517 Merit
Day 201: 587 Merit
Day 202: 513 Merit
Day 203: 565 Merit
Day 204: 626 Merit
Day 205: 470 Merit
Day 206: 451 Merit
Day 207: 561 Merit
Day 208: 432 Merit
Day 209: 658 Merit
Day 210: 600 Merit
Day 211: 612 Merit
Day 212: 530 Merit
Day 213: 528 Merit
Day 214: 385 Merit
Day 215: 476 Merit
Day 216: 457 Merit
Day 217: 383 Merit
Day 218: 488 Merit
Day 219: 514 Merit
Day 220: 379 Merit
Day 221: 432 Merit
Day 222: 412 Merit
Day 223: 536 Merit
Day 224: 567 Merit
Day 225: 654 Merit
Day 226: 509 Merit
Day 227: 458 Merit
Day 228: 395 Merit
Day 229: 455 Merit
Day 230: 472 Merit
Day 231: 580 Merit
Day 232: 595 Merit
Day 233: 540 Merit
Day 234: 517 Merit
Day 235: 463 Merit
Day 236: 2463 Merit
Day 237: 1862 Merit
Day 238: 1294 Merit
Day 239: 1268 Merit
Day 240: 846 Merit
Day 241: 807 Merit
Day 242: 944 Merit
Day 243: 804 Merit
Day 244: 749 Merit
Day 245: 596 Merit
Day 246: 562 Merit
Day 247: 675 Merit
Day 248: 518 Merit
Day 249: 669 Merit
Day 250: 619 Merit
Day 251: 509 Merit
Day 252: 760 Merit
Day 253: 705 Merit
Day 254: 521 Merit
Day 255: 513 Merit
Day 256: 660 Merit
Day 257: 603 Merit
Day 258: 678 Merit
Day 259: 578 Merit
Day 260: 639 Merit
Day 261: 616 Merit
Day 262: 399 Merit
Day 263: 460 Merit
Day 264: 430 Merit
Day 265: 655 Merit
Day 266: 626 Merit
Day 267: 732 Merit
Day 268: 774 Merit
Day 269: 643 Merit
Day 270: 538 Merit
Day 271: 853 Merit
Day 272: 694 Merit
Day 273: 674 Merit
Day 274: 759 Merit
Day 275: 553 Merit
Day 276: 424 Merit
Day 277: 426 Merit
Day 278: 415 Merit
Day 279: 534 Merit
Day 280: 529 Merit
Day 281: 495 Merit
Day 282: 433 Merit
Day 283: 454 Merit
Day 284: 430 Merit
Day 285: 464 Merit
Day 286: 562 Merit
Day 287: 405 Merit
Day 288: 691 Merit
Day 289: 843 Merit
Day 290: 536 Merit
Day 291: 688 Merit
Day 292: 788 Merit
Day 293: 591 Merit
Day 294: 580 Merit
Day 295: 569 Merit
Day 296: 650 Merit
Day 297: 499 Merit
Day 298: 347 Merit
Day 299: 486 Merit
Day 300: 898 Merit
Day 301: 767 Merit
Day 302: 608 Merit
Day 303: 759 Merit
Day 304: 348 Merit
Day 305: 716 Merit
Day 306: 462 Merit
Day 307: 531 Merit
Day 308: 510 Merit
Day 309: 558 Merit
Day 310: 643 Merit
Day 311: 554 Merit
Day 312: 530 Merit
Day 313: 424 Merit
Day 314: 501 Merit
Day 315: 563 Merit
Day 316: 665 Merit
Day 317: 479 Merit
Day 318: 487 Merit
Day 319: 468 Merit
Day 320: 397 Merit
Day 321: 641 Merit
Day 322: 596 Merit
Day 323: 618 Merit
Day 324: 458 Merit
Day 325: 571 Merit
Day 326: 377 Merit
Day 327: 521 Merit
Day 328: 713 Merit
Day 329: 402 Merit
Day 330: 494 Merit
Day 331: 636 Merit
Day 332: 496 Merit
Day 333: 316 Merit
Day 334: 696 Merit
Day 335: 312 Merit
Day 336: 478 Merit
Day 337: 665 Merit
Day 338: 347 Merit
Day 339: 386 Merit
Day 340: 325 Merit
Day 341: 389 Merit
Day 342: 376 Merit
Day 343: 603 Merit
Day 344: 526 Merit
Day 345: 394 Merit
Day 346: 1082 Merit
Day 347: 835 Merit
Day 348: 783 Merit
Day 349: 570 Merit
Day 350: 782 Merit
Day 351: 1161 Merit
Day 352: 987 Merit
Day 353: 878 Merit
Day 354: 711 Merit
Day 355: 978 Merit
Day 356: 1127 Merit
Day 357: 813 Merit
Day 358: 880 Merit
Day 359: 141 Merit (incomplete day)

Per week
Code:
Week 1: 38953 Merit
Week 2: 16373 Merit
Week 3: 11836 Merit
Week 4: 11406 Merit
Week 5: 8910 Merit
Week 6: 8434 Merit
Week 7: 7288 Merit
Week 8: 7283 Merit
Week 9: 6324 Merit
Week 10: 7276 Merit
Week 11: 5848 Merit
Week 12: 5082 Merit
Week 13: 4855 Merit
Week 14: 4821 Merit
Week 15: 4919 Merit
Week 16: 4619 Merit
Week 17: 4243 Merit
Week 18: 3825 Merit
Week 19: 4466 Merit
Week 20: 3978 Merit
Week 21: 4156 Merit
Week 22: 5237 Merit
Week 23: 4511 Merit
Week 24: 3733 Merit
Week 25: 4447 Merit
Week 26: 4018 Merit
Week 27: 3682 Merit
Week 28: 3918 Merit
Week 29: 3883 Merit
Week 30: 3811 Merit
Week 31: 3377 Merit
Week 32: 3336 Merit
Week 33: 3536 Merit
Week 34: 7743 Merit
Week 35: 6023 Merit
Week 36: 4318 Merit
Week 37: 4305 Merit
Week 38: 3831 Merit
Week 39: 4916 Merit
Week 40: 3646 Merit
Week 41: 3249 Merit
Week 42: 4728 Merit
Week 43: 4249 Merit
Week 44: 3945 Merit
Week 45: 3783 Merit
Week 46: 3755 Merit
Week 47: 3668 Merit
Week 48: 3472 Merit
Week 49: 3119 Merit
Week 50: 4978 Merit
Week 51: 6666 Merit
Week 52: 1022 Merit (incomplete week)
legendary
Activity: 2674
Merit: 3000
Terminated.
Excellent work. Could you make a weekly breakdown of the next 2-3 weeks (and compare them to average weekly data) as I am certain there will be DT shenanigans in the making? Maybe even per section/user outliers if possible.
legendary
Activity: 2310
Merit: 4085
Farewell o_e_l_e_o
Quarterly merits



ABSTRACT
(1) The highest and lowest quarter are 2018q1 (first quarter of 2018) and 2018q4 (fourth quarter of 2018), at 120474 and 51092 merits, respectively.
(2) The total merits in the incomplete first quarter of 2019 is 6736 (from 01/1/2019 to 09/1/2019).
(3) The figure of 2018q1 has almost two-times higher than the figures of rest three quarters.

- The 'assumed' calendar time is in GMT.
To take away all doubt: the first Merit was this one:
Code:
1516831941 1 2818066.msg28853325 35 877396
Use EpochConverter to convert 1516831941 (Unix Time) to GMT: Wednesday 24 January 2018 22:12:21.




1) Truncated dataset:
Notes:
- The first quarter of 2018 (2018q1) is incomplete one, but I used it due to extremely high merits sent around during the period.
- Early days of 2019 dropped due to incomplete quarter.
Code:
.         list merit quarter

     +------------------+
     |  merit   quarter |
     |------------------|
  1. | 120474    2018q1 |
  2. |  61522    2018q2 |
  3. |  56625    2018q3 |
  4. |  51092    2018q4 |
     +------------------+

2) Full dataset
Code:
.         list merit quarter

     +------------------+
     |  merit   quarter |
     |------------------|
  1. | 120474    2018q1 |
  2. |  61522    2018q2 |
  3. |  56625    2018q3 |
  4. |  51092    2018q4 |
  5. |   6736    2019q1 |
     +------------------+
legendary
Activity: 2310
Merit: 4085
Farewell o_e_l_e_o
Monthly merits's update:



ABSTRACT

- 50% of observed months have intra-month merits above 19175 or below 19175, that is the median of intra-month merits;
- 50% of observed months have intra-month merits ranged in the range from 17709 to 27629, that is the interquartile range of intra-month merits.
- Minimum and maximum are 15327 and 46630, respectively. The minimum and maximum found in December of 2018 and February of 2018, respectively.
The January of 2018 has still been the highest one even the figure for the month is for incomplete month.




1) Monthly merits time series plot

2) Basic statistics
- Mean +/- sd: 24143 +/- 10394;
- Median (interquartile range): 19175 (17709 - 27629).
- Min - max: 15327 - 46630.

Note:
The first week of 2019 dropped due to incomplete month.


Code:
.         list merit month

     +-----------------+
     | merit     month |
     |-----------------|
  1. | 41760    2018m1 |
  2. | 46630    2018m2 |
  3. | 32084    2018m3 |
  4. | 23173    2018m4 |
  5. | 19597    2018m5 |
     |-----------------|
  6. | 18752    2018m6 |
  7. | 18047    2018m7 |
  8. | 16317    2018m8 |
  9. | 22261    2018m9 |
 10. | 18395   2018m10 |
     |-----------------|
 11. | 17370   2018m11 |
 12. | 15327   2018m12 |
 13. |  6736    2019m1 |
     +-----------------+
legendary
Activity: 2310
Merit: 4085
Farewell o_e_l_e_o
Weekly merits update:



ABSTRACT

(1) The all-time-low and all-time-high of weekly merits so far are 3065 and 30949, respectively (full dataset); whist the ATL and ATH of truncated dataset are 3065 and 8806, respectively;
(2) 50% of observed weeks (truncated dataset) have total intra-week merits below 4309 or above 4309 (median is 4309);
(3) 50% of observed weeks (truncatated dataset) have total intra-week merits in the range from 3789 to 4921 (the interquartile range);
(4)There is no potential outlier found recent weeks (beyond 2091 or 6619).
(5) Total merit of the newest week (2019w1) has nearly 46% higher than the figure of previous week.





1) Weekly merits' time series plot

2) Basic statistics

Weekly merits' median of the truncated dataset (from 19/2/2018 to 07/1/2019) has increased a little bit than figures of dataset within the period from 19/2/2018 to 31/12/2018.
The median rose from 4271 to 4309, whilst the mean remained around 4752.


Potential outliers
IQR = | Q1 - Q3 | = | 4921 - 3789 | = 1132.
1.5*IQR = 1132 * 1.5 = 1698
Q1 - 1.5 IQR = 3789 - 1698 = 2091
Q3 + 1.5 IQR = 4921 + 1698 = 6619

In short, potential outliers are weeks that have total intra-week merits beyond 2091 or 6619.

Now, let's see how many weeks are potential outliers.
weeks are potential outliers in total (results shown below), and none of them occured in the recent weeks.  Grin
Code:
.         list merit week if merit > = 6619 | merit <= 2091

     +-----------------+
     | merit      week |
     |-----------------|
  1. |  8758    2018w8 |
  2. |  8806    2018w9 |
  3. |  7253   2018w10 |
  4. |  7309   2018w11 |
  5. |  6941   2018w12 |
     |-----------------|
  6. |  6707   2018w13 |
 31. |  7825   2018w38 |
     +-----------------+

3) Weeks in ascending order of intra-week merits
Code:
.         list merit week

     +-----------------+
     | merit      week |
     |-----------------|
  1. |  3065   2018w35 |
  2. |  3278   2018w52 |
  3. |  3339   2018w44 |
  4. |  3560   2018w49 |
  5. |  3574   2018w36 |
     |-----------------|
  6. |  3618   2018w33 |
  7. |  3652   2018w30 |
  8. |  3722   2018w46 |
  9. |  3750   2018w48 |
 10. |  3753   2018w51 |
     |-----------------|
 11. |  3782   2018w50 |
 12. |  3789   2018w34 |
 13. |  3798   2018w31 |
 14. |  3800   2018w41 |
 15. |  3818   2018w24 |
     |-----------------|
 16. |  3854   2018w21 |
 17. |  3945   2018w43 |
 18. |  3994   2018w32 |
 19. |  4159   2018w29 |
 20. |  4183   2018w22 |
     |-----------------|
 21. |  4239   2018w28 |
 22. |  4253   2018w27 |
 23. |  4271   2018w40 |
 24. |  4346   2018w20 |
 25. |  4388   2018w39 |
     |-----------------|
 26. |  4457   2018w26 |
 27. |  4513   2018w45 |
 28. |  4527   2018w23 |
 29. |  4558   2018w47 |
 30. |  4585   2018w17 |
     |-----------------|
 31. |  4631   2018w16 |
 32. |  4753   2018w19 |
 33. |  4793    2019w1 |
 34. |  4821   2018w42 |
 35. |  4921   2018w25 |
     |-----------------|
 36. |  4953   2018w18 |
 37. |  5487   2018w15 |
 38. |  5630   2018w37 |
 39. |  6415   2018w14 |
 40. |  6707   2018w13 |
     |-----------------|
 41. |  6941   2018w12 |
 42. |  7253   2018w10 |
 43. |  7309   2018w11 |
 44. |  7825   2018w38 |
 45. |  8758    2018w8 |
     |-----------------|
 46. |  8806    2018w9 |
 47. | 11722    2018w7 |
 48. | 13304    2018w6 |
 49. | 19958    2018w5 |
 50. | 30949    2018w4 |
     +-----------------+

4) Weeks in descending order of intra-week merits
Code:
.         list merit week

     +-----------------+
     | merit      week |
     |-----------------|
  1. | 30949    2018w4 |
  2. | 19958    2018w5 |
  3. | 13304    2018w6 |
  4. | 11722    2018w7 |
  5. |  8806    2018w9 |
     |-----------------|
  6. |  8758    2018w8 |
  7. |  7825   2018w38 |
  8. |  7309   2018w11 |
  9. |  7253   2018w10 |
 10. |  6941   2018w12 |
     |-----------------|
 11. |  6707   2018w13 |
 12. |  6415   2018w14 |
 13. |  5630   2018w37 |
 14. |  5487   2018w15 |
 15. |  4953   2018w18 |
     |-----------------|
 16. |  4921   2018w25 |
 17. |  4821   2018w42 |
 18. |  4793    2019w1 |
 19. |  4753   2018w19 |
 20. |  4631   2018w16 |
     |-----------------|
 21. |  4585   2018w17 |
 22. |  4558   2018w47 |
 23. |  4527   2018w23 |
 24. |  4513   2018w45 |
 25. |  4457   2018w26 |
     |-----------------|
 26. |  4388   2018w39 |
 27. |  4346   2018w20 |
 28. |  4271   2018w40 |
 29. |  4253   2018w27 |
 30. |  4239   2018w28 |
     |-----------------|
 31. |  4183   2018w22 |
 32. |  4159   2018w29 |
 33. |  3994   2018w32 |
 34. |  3945   2018w43 |
 35. |  3854   2018w21 |
     |-----------------|
 36. |  3818   2018w24 |
 37. |  3800   2018w41 |
 38. |  3798   2018w31 |
 39. |  3789   2018w34 |
 40. |  3782   2018w50 |
     |-----------------|
 41. |  3753   2018w51 |
 42. |  3750   2018w48 |
 43. |  3722   2018w46 |
 44. |  3652   2018w30 |
 45. |  3618   2018w33 |
     |-----------------|
 46. |  3574   2018w36 |
 47. |  3560   2018w49 |
 48. |  3339   2018w44 |
 49. |  3278   2018w52 |
 50. |  3065   2018w35 |
     +-----------------+

5) Weeks in chronological order
Code:
.         list merit week

     +-----------------+
     | merit      week |
     |-----------------|
  1. | 30949    2018w4 |
  2. | 19958    2018w5 |
  3. | 13304    2018w6 |
  4. | 11722    2018w7 |
  5. |  8758    2018w8 |
     |-----------------|
  6. |  8806    2018w9 |
  7. |  7253   2018w10 |
  8. |  7309   2018w11 |
  9. |  6941   2018w12 |
 10. |  6707   2018w13 |
     |-----------------|
 11. |  6415   2018w14 |
 12. |  5487   2018w15 |
 13. |  4631   2018w16 |
 14. |  4585   2018w17 |
 15. |  4953   2018w18 |
     |-----------------|
 16. |  4753   2018w19 |
 17. |  4346   2018w20 |
 18. |  3854   2018w21 |
 19. |  4183   2018w22 |
 20. |  4527   2018w23 |
     |-----------------|
 21. |  3818   2018w24 |
 22. |  4921   2018w25 |
 23. |  4457   2018w26 |
 24. |  4253   2018w27 |
 25. |  4239   2018w28 |
     |-----------------|
 26. |  4159   2018w29 |
 27. |  3652   2018w30 |
 28. |  3798   2018w31 |
 29. |  3994   2018w32 |
 30. |  3618   2018w33 |
     |-----------------|
 31. |  3789   2018w34 |
 32. |  3065   2018w35 |
 33. |  3574   2018w36 |
 34. |  5630   2018w37 |
 35. |  7825   2018w38 |
     |-----------------|
 36. |  4388   2018w39 |
 37. |  4271   2018w40 |
 38. |  3800   2018w41 |
 39. |  4821   2018w42 |
 40. |  3945   2018w43 |
     |-----------------|
 41. |  3339   2018w44 |
 42. |  4513   2018w45 |
 43. |  3722   2018w46 |
 44. |  4558   2018w47 |
 45. |  3750   2018w48 |
     |-----------------|
 46. |  3560   2018w49 |
 47. |  3782   2018w50 |
 48. |  3753   2018w51 |
 49. |  3278   2018w52 |
 50. |  4793    2019w1 |
     +-----------------+

The newest week (in data dump) has total intra-week merits nearly 46% higher than of the previous week (4793 compared to 3278).
Code:
. di 4793-3278
1515

. di 1515/3278*100
46.217206
legendary
Activity: 2310
Merit: 4085
Farewell o_e_l_e_o
Update:



ABSTRACT
Notes:
- The asbstract describes figures of intraday merits over the period from 19/2/2018 to 07/01/2019 (truncated dataset);
- Days from 24/1/2018 to 18/2/2018 truncated due to highly potential outliers; and days after 07/01/2019 truncated as well due to incomplete week (the second week of 2019);
- Statistics presented in the post are for truncated dataset.

(1) Potential outliers are days that have intraday total merits beyond 126 or 1150;
(2) Mean of intraday merits over the period is 616, whilst the interquartile range is from 510 to 766;
(3) Friday is the day over weeks has lowest intraday merits in terms of both median and mean, at 539, and 611, respectively.




1) Daily merits' time series plot
I used full dataset (only dropped the first two days due to extremely high merits distributed during those days), since 24/1/2018 to 9/1/2019 to draw the below plot

2) Basic statistics
- Mean +/- sd: 677 +/- 264
- Median (interquartile range): 616 (510 - 766)
- Min - max: 312 - 2463.

From the full dataset, we can easily identify potential outliers via the following formula:
IQR = Q3 – Q1 = 835 – 517 = 350;
1.5*IQR = 1.5*318 = 477
Potential outliers:
-   Above Q3 +1.5*IQR = 835 + 477 = 1312
-   Below Q1 – 1.5*IQR = 517 – 477 = 40
Let's see how many days that have total intraday merits beyond 40 or 1312?
Code:
. count if merit >= 1312 | merit <= 40
  35
In total, 35 days are extremely potential outliers, and none of them occured recent weeks (only days before 18/9/2018).
Code:
. list id merit date if merit >= 1312 | merit <= 40

     +-------------------------+
     |  id   merit        date |
     |-------------------------|
  1. |   1   13018   24jan2018 |
  2. |   2    6761   25jan2018 |
  3. |   3    4493   26jan2018 |
  4. |   4    3489   27jan2018 |
  5. |   5    3188   28jan2018 |
     |-------------------------|
  6. |   6    3799   29jan2018 |
  7. |   7    4192   30jan2018 |
  8. |   8    2820   31jan2018 |
  9. |   9    2545   01feb2018 |
 10. |  10    2568   02feb2018 |
     |-------------------------|
 11. |  11    1867   03feb2018 |
 12. |  12    2167   04feb2018 |
 13. |  13    2077   05feb2018 |
 14. |  14    2308   06feb2018 |
 15. |  15    2141   07feb2018 |
     |-------------------------|
 16. |  16    2141   08feb2018 |
 17. |  17    1448   09feb2018 |
 18. |  18    1747   10feb2018 |
 19. |  19    1442   11feb2018 |
 20. |  20    1331   12feb2018 |
     |-------------------------|
 21. |  21    1579   13feb2018 |
 22. |  22    2513   14feb2018 |
 23. |  23    1991   15feb2018 |
 24. |  24    1411   16feb2018 |
 25. |  25    1608   17feb2018 |
     |-------------------------|
 27. |  27    1403   19feb2018 |
 32. |  32    1409   24feb2018 |
 34. |  34    1382   26feb2018 |
 35. |  35    1326   27feb2018 |
 37. |  37    1333   01mar2018 |
     |-------------------------|
 38. |  38    1696   02mar2018 |
 48. |  48    1354   12mar2018 |
 56. |  56    1322   20mar2018 |
236. | 236    2463   16sep2018 |
237. | 237    1862   17sep2018 |
     +-------------------------+


Let's identify potential outliers of the truncated dataset (from 19/2/2018 to 07/1/2019):
IQR = Q3 – Q1 = 766 – 510 = 256;
1.5*IQR = 1.5*256  = 384
Potential outliers:
-   Above Q3 +1.5*IQR = 766 + 384 = 1150
-   Below Q1 – 1.5*IQR = 510 – 384 = 126
Potential outliers are days that have intraday merits beyond 126 or 1150.
Let's see how many days that have total intraday merits beyond 126 or 1150 ?
There is no potential outlier day happened in early weeks of 2019.
In fact, the day with id # 351 (in LoyceV's dataset) on 09/1/2019 is an outlier with 1161 intraday merits, but I skipped it for now because the day belong to next week (which has still incompleted).

2) The 50 lowest day in terms of daily merits
Code:
. list merit id date dofw day month2 year week month

     +-------------------------------------------------------------------------------+
     | merit    id        date        dofw   day   month2   year      week     month |
     |-------------------------------------------------------------------------------|
  1. |   312   335   24dec2018      Monday    24       12   2018   2018w52   2018m12 |
  2. |   316   333   22dec2018    Saturday    22       12   2018   2018w51   2018m12 |
  3. |   325   340   29dec2018    Saturday    29       12   2018   2018w52   2018m12 |
  4. |   347   338   27dec2018    Thursday    27       12   2018   2018w52   2018m12 |
  5. |   347   298   17nov2018    Saturday    17       11   2018   2018w46   2018m11 |
     |-------------------------------------------------------------------------------|
  6. |   348   304   23nov2018      Friday    23       11   2018   2018w47   2018m11 |
  7. |   370   122   25may2018      Friday    25        5   2018   2018w21    2018m5 |
  8. |   376   342   31dec2018      Monday    31       12   2018   2018w52   2018m12 |
  9. |   376   191   02aug2018    Thursday     2        8   2018   2018w31    2018m8 |
 10. |   377   326   15dec2018    Saturday    15       12   2018   2018w50   2018m12 |
     |-------------------------------------------------------------------------------|
 11. |   379   220   31aug2018      Friday    31        8   2018   2018w35    2018m8 |
 12. |   383   217   28aug2018     Tuesday    28        8   2018   2018w35    2018m8 |
 13. |   385   214   25aug2018    Saturday    25        8   2018   2018w34    2018m8 |
 14. |   386   339   28dec2018      Friday    28       12   2018   2018w52   2018m12 |
 15. |   389   341   30dec2018      Sunday    30       12   2018   2018w52   2018m12 |
     |-------------------------------------------------------------------------------|
 16. |   394   345   03jan2019    Thursday     3        1   2019    2019w1    2019m1 |
 17. |   395   228   08sep2018    Saturday     8        9   2018   2018w36    2018m9 |
 18. |   397   320   09dec2018      Sunday     9       12   2018   2018w49   2018m12 |
 19. |   399   262   12oct2018      Friday    12       10   2018   2018w41   2018m10 |
 20. |   402   329   18dec2018     Tuesday    18       12   2018   2018w51   2018m12 |
     |-------------------------------------------------------------------------------|
 21. |   405   287   06nov2018     Tuesday     6       11   2018   2018w45   2018m11 |
 22. |   412   222   02sep2018      Sunday     2        9   2018   2018w35    2018m9 |
 23. |   415   278   28oct2018      Sunday    28       10   2018   2018w43   2018m10 |
 24. |   415   109   12may2018    Saturday    12        5   2018   2018w19    2018m5 |
 25. |   418   186   28jul2018    Saturday    28        7   2018   2018w30    2018m7 |
     |-------------------------------------------------------------------------------|
 26. |   420   187   29jul2018      Sunday    29        7   2018   2018w30    2018m7 |
 27. |   421   192   03aug2018      Friday     3        8   2018   2018w31    2018m8 |
 28. |   422   140   12jun2018     Tuesday    12        6   2018   2018w24    2018m6 |
 29. |   424   276   26oct2018      Friday    26       10   2018   2018w43   2018m10 |
 30. |   424   313   02dec2018      Sunday     2       12   2018   2018w48   2018m12 |
     |-------------------------------------------------------------------------------|
 31. |   426   277   27oct2018    Saturday    27       10   2018   2018w43   2018m10 |
 32. |   430   284   03nov2018    Saturday     3       11   2018   2018w44   2018m11 |
 33. |   430   264   14oct2018      Sunday    14       10   2018   2018w41   2018m10 |
 34. |   432   221   01sep2018    Saturday     1        9   2018   2018w35    2018m9 |
 35. |   432   208   19aug2018      Sunday    19        8   2018   2018w33    2018m8 |
     |-------------------------------------------------------------------------------|
 36. |   433   282   01nov2018    Thursday     1       11   2018   2018w44   2018m11 |
 37. |   435   190   01aug2018   Wednesday     1        8   2018   2018w31    2018m8 |
 38. |   435   154   26jun2018     Tuesday    26        6   2018   2018w26    2018m6 |
 39. |   444   182   24jul2018     Tuesday    24        7   2018   2018w30    2018m7 |
 40. |   445   143   15jun2018      Friday    15        6   2018   2018w24    2018m6 |
     |-------------------------------------------------------------------------------|
 41. |   451   206   17aug2018      Friday    17        8   2018   2018w33    2018m8 |
 42. |   454   283   02nov2018      Friday     2       11   2018   2018w44   2018m11 |
 43. |   455   167   09jul2018      Monday     9        7   2018   2018w28    2018m7 |
 44. |   455   229   09sep2018      Sunday     9        9   2018   2018w36    2018m9 |
 45. |   457   216   27aug2018      Monday    27        8   2018   2018w35    2018m8 |
     |-------------------------------------------------------------------------------|
 46. |   458   227   07sep2018      Friday     7        9   2018   2018w36    2018m9 |
 47. |   458   324   13dec2018    Thursday    13       12   2018   2018w50   2018m12 |
 48. |   460   263   13oct2018    Saturday    13       10   2018   2018w41   2018m10 |
 49. |   461   130   02jun2018    Saturday     2        6   2018   2018w22    2018m6 |
 50. |   462   306   25nov2018      Sunday    25       11   2018   2018w47   2018m11 |
     |-------------------------------------------------------------------------------|

3) The 50 highest day in terms of daily merits
Code:
. list merit id date dofw day month2 year week month

     +-------------------------------------------------------------------------------+
     | merit    id        date        dofw   day   month2   year      week     month |
     |-------------------------------------------------------------------------------|
  1. | 13018     1   24jan2018   Wednesday    24        1   2018    2018w4    2018m1 |
  2. |  6761     2   25jan2018    Thursday    25        1   2018    2018w4    2018m1 |
  3. |  4493     3   26jan2018      Friday    26        1   2018    2018w4    2018m1 |
  4. |  4192     7   30jan2018     Tuesday    30        1   2018    2018w5    2018m1 |
  5. |  3799     6   29jan2018      Monday    29        1   2018    2018w5    2018m1 |
     |-------------------------------------------------------------------------------|
  6. |  3489     4   27jan2018    Saturday    27        1   2018    2018w4    2018m1 |
  7. |  3188     5   28jan2018      Sunday    28        1   2018    2018w4    2018m1 |
  8. |  2820     8   31jan2018   Wednesday    31        1   2018    2018w5    2018m1 |
  9. |  2568    10   02feb2018      Friday     2        2   2018    2018w5    2018m2 |
 10. |  2545     9   01feb2018    Thursday     1        2   2018    2018w5    2018m2 |
     |-------------------------------------------------------------------------------|
 11. |  2513    22   14feb2018   Wednesday    14        2   2018    2018w7    2018m2 |
 12. |  2463   236   16sep2018      Sunday    16        9   2018   2018w37    2018m9 |
 13. |  2308    14   06feb2018     Tuesday     6        2   2018    2018w6    2018m2 |
 14. |  2167    12   04feb2018      Sunday     4        2   2018    2018w5    2018m2 |
 15. |  2141    15   07feb2018   Wednesday     7        2   2018    2018w6    2018m2 |
     |-------------------------------------------------------------------------------|
 16. |  2141    16   08feb2018    Thursday     8        2   2018    2018w6    2018m2 |
 17. |  2077    13   05feb2018      Monday     5        2   2018    2018w6    2018m2 |
 18. |  1991    23   15feb2018    Thursday    15        2   2018    2018w7    2018m2 |
 19. |  1867    11   03feb2018    Saturday     3        2   2018    2018w5    2018m2 |
 20. |  1862   237   17sep2018      Monday    17        9   2018   2018w38    2018m9 |
     |-------------------------------------------------------------------------------|
 21. |  1747    18   10feb2018    Saturday    10        2   2018    2018w6    2018m2 |
 22. |  1696    38   02mar2018      Friday     2        3   2018    2018w9    2018m3 |
 23. |  1608    25   17feb2018    Saturday    17        2   2018    2018w7    2018m2 |
 24. |  1579    21   13feb2018     Tuesday    13        2   2018    2018w7    2018m2 |
 25. |  1448    17   09feb2018      Friday     9        2   2018    2018w6    2018m2 |
     |-------------------------------------------------------------------------------|
 26. |  1442    19   11feb2018      Sunday    11        2   2018    2018w6    2018m2 |
 27. |  1411    24   16feb2018      Friday    16        2   2018    2018w7    2018m2 |
 28. |  1409    32   24feb2018    Saturday    24        2   2018    2018w8    2018m2 |
 29. |  1403    27   19feb2018      Monday    19        2   2018    2018w8    2018m2 |
 30. |  1382    34   26feb2018      Monday    26        2   2018    2018w9    2018m2 |
     |-------------------------------------------------------------------------------|
 31. |  1354    48   12mar2018      Monday    12        3   2018   2018w11    2018m3 |
 32. |  1333    37   01mar2018    Thursday     1        3   2018    2018w9    2018m3 |
 33. |  1331    20   12feb2018      Monday    12        2   2018    2018w7    2018m2 |
 34. |  1326    35   27feb2018     Tuesday    27        2   2018    2018w9    2018m2 |
 35. |  1322    56   20mar2018     Tuesday    20        3   2018   2018w12    2018m3 |
     |-------------------------------------------------------------------------------|
 36. |  1294   238   18sep2018     Tuesday    18        9   2018   2018w38    2018m9 |
 37. |  1289    26   18feb2018      Sunday    18        2   2018    2018w7    2018m2 |
 38. |  1279    30   22feb2018    Thursday    22        2   2018    2018w8    2018m2 |
 39. |  1268   239   19sep2018   Wednesday    19        9   2018   2018w38    2018m9 |
 40. |  1266    29   21feb2018   Wednesday    21        2   2018    2018w8    2018m2 |
     |-------------------------------------------------------------------------------|
 41. |  1245    41   05mar2018      Monday     5        3   2018   2018w10    2018m3 |
 42. |  1233    68   01apr2018      Sunday     1        4   2018   2018w13    2018m4 |
 43. |  1227    57   21mar2018   Wednesday    21        3   2018   2018w12    2018m3 |
 44. |  1186    33   25feb2018      Sunday    25        2   2018    2018w8    2018m2 |
 45. |  1169    28   20feb2018     Tuesday    20        2   2018    2018w8    2018m2 |
     |-------------------------------------------------------------------------------|
 46. |  1161   351   09jan2019   Wednesday     9        1   2019    2019w2    2019m1 |
 47. |  1159    50   14mar2018   Wednesday    14        3   2018   2018w11    2018m3 |
 48. |  1146    69   02apr2018      Monday     2        4   2018   2018w14    2018m4 |
 49. |  1138   153   25jun2018      Monday    25        6   2018   2018w26    2018m6 |
 50. |  1130    51   15mar2018    Thursday    15        3   2018   2018w11    2018m3 |
     |-------------------------------------------------------------------------------|

4) Intraday merits over days of week
- In medians of intraday merits, and GMT time, lowest days are Friday, Saturday and Sunday, at 539, 581 and 601 respectively.
- In means of intraday merits, and GMT time, lowest days are Friday, Saturday, and Thursday at 611, 621, and 663.
- The highest day in terms of means and medians are both Monday, at 655 and 739, respectively.
More details in the raw results below.

Code:
. tabstat merit, s(n mean sd p50 p25 p75 min max) format(%9.1f) by(dofw)

Summary for variables: merit
     by categories of: dofw

     dofw |         N      mean        sd       p50       p25       p75       min       max
----------+--------------------------------------------------------------------------------
   Sunday |      46.0     698.5     347.5     601.0     464.0     804.0     389.0    2463.0
   Monday |      47.0     739.1     309.2     655.0     534.0     822.0     312.0    1862.0
  Tuesday |      46.0     694.7     240.7     626.0     567.0     760.0     383.0    1326.0
Wednesday |      46.0     709.3     219.3     649.5     558.0     759.0     435.0    1268.0
 Thursday |      46.0     662.6     222.2     626.0     509.0     764.0     347.0    1333.0
   Friday |      46.0     610.9     238.9     539.0     463.0     698.0     348.0    1696.0
 Saturday |      46.0     620.4     226.9     581.0     460.0     688.0     316.0    1409.0
----------+--------------------------------------------------------------------------------
    Total |     323.0     676.7     263.4     616.0     510.0     766.0     312.0    2463.0
-------------------------------------------------------------------------------------------

Plots:
- Outliers displayed with red circles.

- Outliers non-displayed.
legendary
Activity: 2310
Merit: 4085
Farewell o_e_l_e_o
Daily converted dataset's update:

I only posted the part of converted dataset since the start of 2019, for part of dataset for previous days in the year 2018, please get it on previous posts.
Code:
. list id merit date day month2 year week month dofw if year == 2019

     +-----------------------------------------------------------------------------+
     |  id   merit        date   day   month2   year     week    month        dofw |
     |-----------------------------------------------------------------------------|
343. | 343     603   01jan2019     1        1   2019   2019w1   2019m1     Tuesday |
344. | 344     526   02jan2019     2        1   2019   2019w1   2019m1   Wednesday |
345. | 345     394   03jan2019     3        1   2019   2019w1   2019m1    Thursday |
346. | 346    1082   04jan2019     4        1   2019   2019w1   2019m1      Friday |
347. | 347     835   05jan2019     5        1   2019   2019w1   2019m1    Saturday |
     |-----------------------------------------------------------------------------|
348. | 348     783   06jan2019     6        1   2019   2019w1   2019m1      Sunday |
349. | 349     570   07jan2019     7        1   2019   2019w1   2019m1      Monday |
350. | 350     782   08jan2019     8        1   2019   2019w2   2019m1     Tuesday |
351. | 351    1161   09jan2019     9        1   2019   2019w2   2019m1   Wednesday |
     +-----------------------------------------------------------------------------+
legendary
Activity: 2310
Merit: 4085
Farewell o_e_l_e_o
Thank you for your data dump, LoyceV.

It's normal to see the considerable increases of total merits distributed last week.
It happened in September with new rules on rank requirements and a wave of demoted Junior member. During that period, so many merits sent around from merit abusers.

This time, it is probably that the merits distributed last week almost true, correct ones dedicated to qualitied, deserved threads/ posts.
I read somewhere in the forum so many topics (newly published) after the rebuilt of trust system.
Those topics and posts inside received so many merits.

Additionally, 3 new merit sources added last week.

I guess all these two factors boosted merit distribution last week.

In general, merit distributions in the forum tend to increase with new systems/ adjusted ones.

I will come back with more statistics.
Pages:
Jump to: