[Update Apr 2024] Forum Merit distributions

[LoyceV]

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)

[tranthidung]

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.

[tranthidung]

Intraday merits (from 24/1/2018 to 30/1/2019)




Time series plots
(1) Full dataset

(2) Truncated dataset

Raw statistics on before and after period (cut-off point is 09/01/2019, on which Default Trust Changed)

Code:

. tabstat before090119 wkslater_2 wkslater_3, s(n mean sd p50 p25 p75 min max) format(%9.1f) c(s)

    variable |         N      mean        sd       p50       p25       p75       min       max
-------------+--------------------------------------------------------------------------------
before090119 |     324.0     677.0     263.0     616.5     510.5     766.5     312.0    2463.0
  wkslater_2 |      14.0     840.4     191.4     845.5     658.0     987.0     611.0    1161.0
  wkslater_3 |      21.0     781.9     179.5     715.0     643.0     880.0     587.0    1161.0
----------------------------------------------------------------------------------------------

Three weeks later 09/1/2019 (wkslater_3), both mean and median of intraday merits decreased in comparision to the period of two weeks later 09/1/2019 (wkslater_2).
- Mean presented by mean.
- Median presented by p50.
Comparision between before and three-weeks-later period (Green: increase, Red : decrease):
- Mean: +15.51% (782 compared to 677)
- Median: +15.88% (715 compared to 617)

Code:

. di (782-677)*100/677
15.509601

. di (715-617)*100/617
15.883306

It seems that the assumption on the 30 percent increase of forum-generated sMerits that leads to 30 percent increase of intraday merits is wrong.
The assumption was likely right in the two weeks later period, but for now, it seems to be wrong.

It is what I expected, very close to my estimation based on the difference of medians of intra-days merits between periods before and after.
nearly 30% increases of both sMerits generated for merit sources, and of  median of total intraweek sMerits sent in the last two weeks.
So, you maybe right that the rises of merit circulations last two weeks come from the re-allocation sMerits to merit sources and their sMerits-give-away activities.
Anyway, let's see the merit circulation next few weeks to confirm the assumption.

For the 30 days prior to Jan 9 it was already above 16000

[tranthidung]

Update:


ABSTRACT
Notes:
- The asbstract describes figures of intraday merits over the period from 19/2/2018 to 28/01/2019 (truncated dataset);
- Days from 24/1/2018 to 18/2/2018 truncated due to highly potential outliers; and days after 28/01/2019 truncated as well due to incomplete week (the fifth week of 2019, 2019w5);
- Statistics presented in the post are for truncated dataset.

(1) Potential outliers are days that have intraday total merits beyond 135.5 or 1151.5;
(2) Median of intraday merits over the period is 621.5, whilst the interquartile range is from 516.5 to 770.5;
(3) Friday is the day over weeks has lowest intraday merits in terms of both median and mean, at 542, and 617, 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 28/1/2019 to draw the below plot

2) Basic statistics
* For full dataset (only first 2 days dropped)
- Mean +/- sd: 792 +/- 533
- Median (interquartile range): 639 (521 – 836.5)
- Min - max: 312 -  4493.

From the full dataset, we can easily identify potential outliers via the following formula:
IQR = Q3 – Q1 = 836.5 – 521 = 315.5;
1.5*IQR = 1.5*315.5 = 473.25
Potential outliers:
-   Above Q3 +1.5*IQR = 836.5 + 473.25 = 1309.75
-   Below Q1 – 1.5*IQR = 517 – 477 = 47.75
Let's see how many days that have total intraday merits beyond 47.75 or 1309.75?

Code:

. count if merit >= 1309.75 | merit <= 47.75
  33

In total, 33 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 >= 1309.75 | merit <= 47.75) & merit != .

     +-------------------------+
     |  id   merit        date |
     |-------------------------|
  1. |   3    4493   26jan2018 |
  2. |   4    3489   27jan2018 |
  3. |   5    3188   28jan2018 |
  4. |   6    3799   29jan2018 |
  5. |   7    4192   30jan2018 |
     |-------------------------|
  6. |   8    2820   31jan2018 |
  7. |   9    2545   01feb2018 |
  8. |  10    2568   02feb2018 |
  9. |  11    1867   03feb2018 |
 10. |  12    2167   04feb2018 |
     |-------------------------|
 11. |  13    2077   05feb2018 |
 12. |  14    2308   06feb2018 |
 13. |  15    2141   07feb2018 |
 14. |  16    2141   08feb2018 |
 15. |  17    1448   09feb2018 |
     |-------------------------|
 16. |  18    1747   10feb2018 |
 17. |  19    1442   11feb2018 |
 18. |  20    1331   12feb2018 |
 19. |  21    1579   13feb2018 |
 20. |  22    2513   14feb2018 |
     |-------------------------|
 21. |  23    1991   15feb2018 |
 22. |  24    1411   16feb2018 |
 23. |  25    1608   17feb2018 |
 25. |  27    1403   19feb2018 |
 30. |  32    1409   24feb2018 |
     |-------------------------|
 32. |  34    1382   26feb2018 |
 33. |  35    1326   27feb2018 |
 35. |  37    1333   01mar2018 |
 36. |  38    1696   02mar2018 |
 46. |  48    1354   12mar2018 |
     |-------------------------|
 54. |  56    1322   20mar2018 |
234. | 236    2463   16sep2018 |
235. | 237    1862   17sep2018 |
     +-------------------------+

Let's identify potential outliers of the truncated dataset (from 19/2/2018 to 28/1/2019):
- Mean +/- sd: 683.6 +/- 260.1
- Median (interquartile range): 621.5 (516.5 – 770.5)
- Min - max: 312 -  2463.
IQR = Q3 – Q1 = 770.5 - 516.5 = 254;
1.5*IQR = 1.5*254 = 381
Potential outliers:
-   Above Q3 +1.5*IQR = 770.5 + 381 = 1151.5
-   Below Q1 – 1.5*IQR = 516.5 – 381 = 135.5
Potential outliers are days that have intraday merits beyond 135.5 or 1151.5.
Let's see how many days that have total intraday merits beyond 135.5 or 1151.5 ?

Code:

. count if (merit >= 1151.5 | merit <= 135.5) & merit != .
  47

There are 47 days in total, and there is only one potential outlier day happened in early weeks of 2019, on 09 Jan. 2019, at 1161.

Code:

. list id merit date if (merit >= 1151.5 | merit <= 135.5) & merit != .

     +-------------------------+
     |  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 |
 24. |  50    1159   14mar2018 |
 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 |
     |-------------------------|
325. | 351    1161   09jan2019 |
     +-------------------------+

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   264   14oct2018      Sunday    14       10   2018   2018w41   2018m10 |
 33. |   430   284   03nov2018    Saturday     3       11   2018   2018w44   2018m11 |
 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   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 542, 587 and 617, respectively.
- In means of intraday merits, and GMT time, lowest days are Friday, Saturday, and Thursday at 617, 622, and 678.
- The highest day in terms of medians and means re both Monday, at 666 and 746, 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 |      49.0     702.5     339.0     617.0     476.0     804.0     389.0    2463.0
   Monday |      50.0     745.6     304.7     666.0     536.0     822.0     312.0    1862.0
  Tuesday |      49.0     697.3     234.3     626.0     578.0     767.0     383.0    1326.0
Wednesday |      49.0     722.6     223.1     654.0     562.0     761.0     435.0    1268.0
 Thursday |      49.0     677.6     225.7     643.0     514.0     774.0     347.0    1333.0
   Friday |      49.0     616.4     234.5     542.0     475.0     698.0     348.0    1696.0
 Saturday |      49.0     622.0     220.2     587.0     461.0     688.0     316.0    1409.0
----------+--------------------------------------------------------------------------------
    Total |     344.0     683.6     260.1     621.5     516.5     770.5     312.0    2463.0
-------------------------------------------------------------------------------------------
 

Plots:
- Outliers displayed with red circles.

- Outliers non-displayed.

[tranthidung]

Intra-week merits update:
From 24/1/2018 to 28/1/2019

Time series plot:

Basic statistics:
Mean +/- sd: 5870 +/- 4533
Median (interquartile range): 4513 (3800 - 5630)
Min - max: 3065 - 30949

Code:

.         tabstat merit, s(n mean sd p50 p25 p75 min max)

    variable |         N      mean        sd       p50       p25       p75       min       max
-------------+--------------------------------------------------------------------------------
       merit |        53  5869.717  4532.529      4513      3800      5630      3065     30949
----------------------------------------------------------------------------------------------

Potential outliers:
IQR = Q3 - Q1 = 5630 - 3800 = 1830
1.5*IQR = 1.5*1830 = 2745
Q3 + 1.5*IQR = 5630 + 2745 = 8375
Q1 - 1.5*IQR = 4513 - 2745 = 1768

Let's see how many weeks have total intra-week merits beyond 1768 or 8375?

Code:

. count if (merit >=8375 | merit < 1768) & merit != .
  6

There are six potential outliers, and none of them occured in the year 2019, so far

Code:

. list merit week if merit >=8375 | merit <=1768

     +----------------+
     | merit     week |
     |----------------|
  1. | 30949   2018w4 |
  2. | 19958   2018w5 |
  3. | 13304   2018w6 |
  4. | 11722   2018w7 |
  5. |  8758   2018w8 |
     |----------------|
  6. |  8806   2018w9 |
     +----------------+

[LoyceV]

Updated Merit data:

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: 450 Merit
Day 374: 595 Merit
Day 375: 940 Merit
Day 376: 571 Merit
Day 377: 796 Merit
Day 378: 776 Merit
Day 379: 559 Merit
Day 380: 63 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: 4657 Merit
Week 55: 623 Merit (incomplete week)

[tranthidung]

Once again, I thank LoyceV for another weekly data dump in my topic

Update:
Intra-day merits (converted dataset)
From 01/01/2019 to 06/02/2019.

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 |
     |-----------------------------------------------------------------------------|
373. | 373     450   31jan2019    31        1   2019   2019w5   2019m1    Thursday |
374. | 374     595   01feb2019     1        2   2019   2019w5   2019m2      Friday |
375. | 375     940   02feb2019     2        2   2019   2019w5   2019m2    Saturday |
376. | 376     571   03feb2019     3        2   2019   2019w5   2019m2      Sunday |
377. | 377     796   04feb2019     4        2   2019   2019w5   2019m2      Monday |
     |-----------------------------------------------------------------------------|
378. | 378     776   05feb2019     5        2   2019   2019w6   2019m2     Tuesday |
379. | 379     559   06feb2019     6        2   2019   2019w6   2019m2   Wednesday |
     +-----------------------------------------------------------------------------+

For part of dataset in the year 2018, please get it in previous page.

[tranthidung]

Update:


ABSTRACT
Notes:
- The asbstract describes figures of intraday merits over the period from 19/2/2018 to 04/02/2019 (truncated dataset);
- Days from 24/1/2018 to 18/2/2018 truncated due to highly potential outliers; and days after 04/02/2019 truncated as well due to incomplete week (the sixth week of 2019, 2019w6);
- Statistics presented in the post are for truncated dataset.

(1) Potential outliers are days that have intraday total merits beyond 131 or 1159;
(2) Median of intraday merits over the period is 620, whilst the interquartile range is from 516 to 773;
(3) Friday [in GTM time] is the day over weeks has lowest intraday merits in terms of both median and mean, at 548, and 618, respectively.
(4) Monday [in GMT time] is the day over weeks has highest intraday merits in terms of both median and mean, at 674, and 747, respectively.
(5) There are 21 potential outliers in total, and there is only one potential outlier day happened in early weeks of 2019, on 09 Jan. 2019, at 1161.



1) Daily merits' time series plot
Full dataset:
I used full dataset, since 24/1/2018 to 06/02/2019 to draw the below plot

Truncated dataset:

2) Basic statistics

* For full dataset (only first 2 days dropped due to extremely high merits distributed during those days)
- Mean +/- sd: 789 +/- 528
- Median (interquartile range): 638 (521 – 835)
- Min - max: 312 -  4493.

From the full dataset, we can easily identify potential outliers via the following formula:
IQR = Q3 – Q1 = 835 – 521 = 314;
1.5*IQR = 1.5*314 = 471
Potential outliers:
-   Above Q3 +1.5*IQR = 835 + 471 = 1306
-   Below Q1 – 1.5*IQR = 521 – 471 = 50
Let's see how many days that have total intraday merits beyond 50 or 1306?

Code:

. count if (merit >= 1306 | merit <= 50) & merit != .
  33 

In total, 33 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 >= 1306 | merit <= 50) & merit != .

     +-------------------------+
     |  id   merit        date |
     |-------------------------|
  1. |   3    4493   26jan2018 |
  2. |   4    3489   27jan2018 |
  3. |   5    3188   28jan2018 |
  4. |   6    3799   29jan2018 |
  5. |   7    4192   30jan2018 |
     |-------------------------|
  6. |   8    2820   31jan2018 |
  7. |   9    2545   01feb2018 |
  8. |  10    2568   02feb2018 |
  9. |  11    1867   03feb2018 |
 10. |  12    2167   04feb2018 |
     |-------------------------|
 11. |  13    2077   05feb2018 |
 12. |  14    2308   06feb2018 |
 13. |  15    2141   07feb2018 |
 14. |  16    2141   08feb2018 |
 15. |  17    1448   09feb2018 |
     |-------------------------|
 16. |  18    1747   10feb2018 |
 17. |  19    1442   11feb2018 |
 18. |  20    1331   12feb2018 |
 19. |  21    1579   13feb2018 |
 20. |  22    2513   14feb2018 |
     |-------------------------|
 21. |  23    1991   15feb2018 |
 22. |  24    1411   16feb2018 |
 23. |  25    1608   17feb2018 |
 25. |  27    1403   19feb2018 |
 30. |  32    1409   24feb2018 |
     |-------------------------|
 32. |  34    1382   26feb2018 |
 33. |  35    1326   27feb2018 |
 35. |  37    1333   01mar2018 |
 36. |  38    1696   02mar2018 |
 46. |  48    1354   12mar2018 |
     |-------------------------|
 54. |  56    1322   20mar2018 |
234. | 236    2463   16sep2018 |
235. | 237    1862   17sep2018 |
     +-------------------------+
 

Let's identify potential outliers of the truncated dataset (from 19/2/2018 to 04/02/2019):
- Mean +/- sd: 683 +/- 259
- Median (interquartile range): 620 (516 – 773)
- Min - max: 312 -  2463.
IQR = Q3 – Q1 = 773 – 516 = 257
1.5*IQR = 1.5*257 = 385.5
Potential outliers:
-   Above Q3 +1.5*IQR = 773 + 385.5 = 1158.5 ~ 1159
-   Below Q1 – 1.5*IQR = 516 – 385.5 = 130.5 ~ 131
Potential outliers are days that have intraday merits beyond 131 or 1159
Let's see how many days that have total intraday merits beyond 131 or 1159

Code:

 . count if (merit >= 1159 | merit <= 131) & merit != .
  21 

There are 21 days in total, and there is only one potential outlier day happened in early weeks of 2019, on 09 Jan. 2019, at 1161.

Code:

 . list id merit date if (merit >= 1159 | merit <= 131) & merit != .

     +-------------------------+
     |  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 |
 24. |  50    1159   14mar2018 |
 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 |
     |-------------------------|
325. | 351    1161   09jan2019 |
     +-------------------------+

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   298   17nov2018    Saturday    17       11   2018   2018w46   2018m11 |
  5. |   347   338   27dec2018    Thursday    27       12   2018   2018w52   2018m12 |
     |-------------------------------------------------------------------------------|
  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   109   12may2018    Saturday    12        5   2018   2018w19    2018m5 |
 24. |   415   278   28oct2018      Sunday    28       10   2018   2018w43   2018m10 |
 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   264   14oct2018      Sunday    14       10   2018   2018w41   2018m10 |
 33. |   430   284   03nov2018    Saturday     3       11   2018   2018w44   2018m11 |
 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. |   450   373   31jan2019    Thursday    31        1   2019    2019w5    2019m1 |
 42. |   451   206   17aug2018      Friday    17        8   2018   2018w33    2018m8 |
 43. |   454   283   02nov2018      Friday     2       11   2018   2018w44   2018m11 |
 44. |   455   167   09jul2018      Monday     9        7   2018   2018w28    2018m7 |
 45. |   455   229   09sep2018      Sunday     9        9   2018   2018w36    2018m9 |
     |-------------------------------------------------------------------------------|
 46. |   457   216   27aug2018      Monday    27        8   2018   2018w35    2018m8 |
 47. |   458   324   13dec2018    Thursday    13       12   2018   2018w50   2018m12 |
 48. |   458   227   07sep2018      Friday     7        9   2018   2018w36    2018m9 |
 49. |   460   263   13oct2018    Saturday    13       10   2018   2018w41   2018m10 |
 50. |   461   130   02jun2018    Saturday     2        6   2018   2018w22    2018m6 |
     |-------------------------------------------------------------------------------| 

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 548, 601 and 610, respectively.
- In means of intraday merits, and GMT time, lowest days are Friday, Saturday, and Thursday at 616, 629, and 673.
- The highest day in terms of medians and means re both Monday, at 674 and 747, 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 |      50.0     699.9     336.0     610.0     476.0     804.0     389.0    2463.0
   Monday |      51.0     746.6     301.8     674.0     536.0     822.0     312.0    1862.0
  Tuesday |      50.0     695.6     232.2     626.0     578.0     767.0     383.0    1326.0
Wednesday |      50.0     718.3     222.8     653.0     558.0     761.0     435.0    1268.0
 Thursday |      50.0     673.0     225.7     639.5     509.0     774.0     347.0    1333.0
   Friday |      50.0     616.0     232.1     548.0     475.0     698.0     348.0    1696.0
 Saturday |      50.0     628.4     222.5     600.5     461.0     695.0     316.0    1409.0
----------+--------------------------------------------------------------------------------
    Total |     351.0     682.7     258.5     620.0     516.0     773.0     312.0    2463.0
------------------------------------------------------------------------------------------- 

Plots:
- Outliers displayed with red circles.

- Outliers non-displayed.

[tranthidung]

I also made a analysis on the percent changes between before and after period (cut-off day chosen is 09/01/2019) in another topic
Tracking the difference of merit circulations with Default Trust Changes
In short

4 weeks later update:
Median: +15.6%
Mean: +11.1%

ABSTRACT

(1) Both median and mean of four-week-later period are higher then the before period, with cut-off day is 09/01/2019, at 15.6% and 11.1%, respectively.
(2) 50 percent of days in the four weeks later period have intraday merits in the range from 614 to 879 (the interquartile range), whilst the figures of the before period are 511 to 767.

Effects of Default Trust Change (if effects actually occured) likely decreased or tailed off over time.
Both Percent changes in median and mean dropped over weeks.

[tranthidung]

Update:

Intra-week merits

ABSTRACT (for truncated dataset)
(1) 50% of observed weeks have total intra-week merits above 4423 (median), whilst 50% of them have total intra-week merits below 4423.
(2) 50% of observed weeks have total intra-week merits in the range from 3798 to 4953 (the interquartile range).
(3) There are 7 potential outlier weeks in total, and the latest one occured in September (2018w38)

Code:

.         list

     +-----------------+
     |    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 |
 52. |  2019w3    5306 |
 53. |  2019w4    4659 |
 54. |  2019w5    4474 |
     +-----------------+

Time-series plot

Basic statistics:
Full dataset

Code:

.         tabstat merit, s(n mean sd p50 p25 p75 min max)

    variable |         N      mean        sd       p50       p25       p75       min       max
-------------+--------------------------------------------------------------------------------
       merit |        54   5843.87  4493.582    4493.5      3800      5630      3065     30949
----------------------------------------------------------------------------------------------

Mean +/- sd: 5844 +/- 4494
Median (interquartile range): 4494 (3800 - 5630)
Min - Max: 3065 - 30949

Potential outliers:
IQR = Q3 - Q1 = 5630 - 3800 =1830
1.5*IQR = 1.5*1830 = 2745
Q3 +1.5*IQR = 5630 + 2745 = 8375
Q1 - 1.5*IQR = 3800 - 2745 = 1055
Potential outliers are weeks have total intra-week merits beyond 1055 or 8375.
How many potential outliers are there?

Code:

. count if (merit >= 8375| merit < 1055) & merit != .
  6

6 weeks in total, and none of them occurred in 2019.

Code:

. list merit week if merit >=8375 | merit <=1055

     +----------------+
     | merit     week |
     |----------------|
  1. | 30949   2018w4 |
  2. | 19958   2018w5 |
  3. | 13304   2018w6 |
  4. | 11722   2018w7 |
  5. |  8758   2018w8 |
     |----------------|
  6. |  8806   2018w9 |
     +----------------+

Truncated dataset

Code:

. tabstat merit, s(n mean sd p50 p25 p75 min max)

    variable |         N      mean        sd       p50       p25       p75       min       max
-------------+--------------------------------------------------------------------------------
       merit |        50   4792.72  1394.324    4422.5      3798      4953      3065      8806
----------------------------------------------------------------------------------------------

Mean +/- sd: 4793 +/- 1395
Median (interquartile range): 4423 (3798 - 4953)
Min - Max: 3065 - 8806
Let's identify potential outliers with the same formula of above calculation
Potential outliers are weeks that have total intra-week merits beyond 2065 or 6686

Code:

. count if merit >=6686 | merit <=2065
  7

7 weeks in total, and the latest one occured in September (2018w38)

Code:

. list merit week if merit >=6686 | merit <=2065

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

Notes:
One merit source removed by theymos days ago.

[tranthidung]

Intra-month merits update:
(from 24/01/2018 to 31/01/2019)

ABSTRACT

(1) 50% of observed months (13 months in total), have their total intra-month merits above 19597 (the median), whilst 50% of rest months have total intra-month merits below 19597.
(2) 50% of observed months have their total intra-month merits range from 18047 to 23173 (the interquartile range).
(3) Minimum and maximum of intra-month merits are 15327 (in 2018m12)  and 46630 (in 2018m2), respectively.



Converted intra-month merits

Code:

. list month merit

     +-----------------+
     |   month   merit |
     |-----------------|
  1. |  2018m1   41760 |
  2. |  2018m2   46630 |
  3. |  2018m3   32084 |
  4. |  2018m4   23173 |
  5. |  2018m5   19597 |
     |-----------------|
  6. |  2018m6   18752 |
  7. |  2018m7   18047 |
  8. |  2018m8   16317 |
  9. |  2018m9   22261 |
 10. | 2018m10   18395 |
     |-----------------|
 11. | 2018m11   17370 |
 12. | 2018m12   15327 |
 13. |  2019m1   22954 |
     +-----------------+

Time-series plot

Basic statistics:

Code:

.         tabstat merit, s(n mean sd p50 p25 p75 min max)

    variable |         N      mean        sd       p50       p25       p75       min       max
-------------+--------------------------------------------------------------------------------
       merit |        13  24051.31  9956.748     19597     18047     23173     15327     46630
----------------------------------------------------------------------------------------------

- Mean +/- sd: 24052 +/- 9957
- Median (Interquartile range): 19597 (18047 - 23173).
- Min - max: 15327 - 46630

Notes:
The 2018m1 (Jan. 2018) is incomplete month.

[LoyceV]

Updated data:
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: 450 Merit
Day 374: 595 Merit
Day 375: 940 Merit
Day 376: 571 Merit
Day 377: 796 Merit
Day 378: 776 Merit
Day 379: 559 Merit
Day 380: 548 Merit
Day 381: 611 Merit
Day 382: 623 Merit
Day 383: 559 Merit
Day 384: 642 Merit
Day 385: 585 Merit
Day 386: 671 Merit
Day 387: 83 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: 4657 Merit
Week 55: 4137 Merit
Week 56: 755 Merit (incomplete week)

[tranthidung]

Thanks LoyceV, for another data dump in my topic.  

Converted intra-day merits 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 |
     |-----------------------------------------------------------------------------|
373. | 373     450   31jan2019    31        1   2019   2019w5   2019m1    Thursday |
374. | 374     595   01feb2019     1        2   2019   2019w5   2019m2      Friday |
375. | 375     940   02feb2019     2        2   2019   2019w5   2019m2    Saturday |
376. | 376     571   03feb2019     3        2   2019   2019w5   2019m2      Sunday |
377. | 377     796   04feb2019     4        2   2019   2019w5   2019m2      Monday |
     |-----------------------------------------------------------------------------|
378. | 378     776   05feb2019     5        2   2019   2019w6   2019m2     Tuesday |
379. | 379     559   06feb2019     6        2   2019   2019w6   2019m2   Wednesday |
380. | 380     548   07feb2019     7        2   2019   2019w6   2019m2    Thursday |
381. | 381     611   08feb2019     8        2   2019   2019w6   2019m2      Friday |
382. | 382     623   09feb2019     9        2   2019   2019w6   2019m2    Saturday |
     |-----------------------------------------------------------------------------|
383. | 383     559   10feb2019    10        2   2019   2019w6   2019m2      Sunday |
384. | 384     642   11feb2019    11        2   2019   2019w6   2019m2      Monday |
385. | 385     585   12feb2019    12        2   2019   2019w7   2019m2     Tuesday |
386. | 386     671   13feb2019    13        2   2019   2019w7   2019m2   Wednesday |
     +-----------------------------------------------------------------------------+

For days in 2018, please get it there

[tranthidung]

Update on intra-day merit
(from 24/1/2018 to 13/2/2019)


Time series plots:
Full dataset

Truncated dataset:

Basic statistics:
Full dataset

Code:

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

    variable |         N      mean        sd       p50       p25       p75       min       max
-------------+--------------------------------------------------------------------------------
       merit |     382.0     785.6     523.7     636.0     522.0     822.0     312.0    4493.0
----------------------------------------------------------------------------------------------

Potential outliers:

Code:

. di 822-522
300

. di 300*1.5
450

. di 822+450
1272

. di 522-450
72

How many outliers identified?

Code:

. count if (merit >= 1272 | merit <= 72) & merit != .
  36

36 days in total are extremely potential outliers.

List of 36 potential outliers, none of them occured in 2019.

Code:

. list id merit date if (merit >= 1272 | merit <= 72) & merit != .

     +-------------------------+
     |  id   merit        date |
     |-------------------------|
  1. |   3    4493   26jan2018 |
  2. |   4    3489   27jan2018 |
  3. |   5    3188   28jan2018 |
  4. |   6    3799   29jan2018 |
  5. |   7    4192   30jan2018 |
     |-------------------------|
  6. |   8    2820   31jan2018 |
  7. |   9    2545   01feb2018 |
  8. |  10    2568   02feb2018 |
  9. |  11    1867   03feb2018 |
 10. |  12    2167   04feb2018 |
     |-------------------------|
 11. |  13    2077   05feb2018 |
 12. |  14    2308   06feb2018 |
 13. |  15    2141   07feb2018 |
 14. |  16    2141   08feb2018 |
 15. |  17    1448   09feb2018 |
     |-------------------------|
 16. |  18    1747   10feb2018 |
 17. |  19    1442   11feb2018 |
 18. |  20    1331   12feb2018 |
 19. |  21    1579   13feb2018 |
 20. |  22    2513   14feb2018 |
     |-------------------------|
 21. |  23    1991   15feb2018 |
 22. |  24    1411   16feb2018 |
 23. |  25    1608   17feb2018 |
 24. |  26    1289   18feb2018 |
 25. |  27    1403   19feb2018 |
     |-------------------------|
 28. |  30    1279   22feb2018 |
 30. |  32    1409   24feb2018 |
 32. |  34    1382   26feb2018 |
 33. |  35    1326   27feb2018 |
 35. |  37    1333   01mar2018 |
     |-------------------------|
 36. |  38    1696   02mar2018 |
 46. |  48    1354   12mar2018 |
 54. |  56    1322   20mar2018 |
234. | 236    2463   16sep2018 |
235. | 237    1862   17sep2018 |
     |-------------------------|
236. | 238    1294   18sep2018 |
     +-------------------------+

Truncated dataset

Code:

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

    variable |         N      mean        sd       p50       p25       p75       min       max
-------------+--------------------------------------------------------------------------------
       merit |     358.0     681.4     256.3     619.5     517.0     768.0     312.0    2463.0
----------------------------------------------------------------------------------------------

Potential outliers:

Code:

. di 768-517
251

. di 1.5*251
376.5

. di 768+376.6
1144.6

. di 517-376.5
140.5

How many potential outliers identified in truncated dataset?

Code:

. count if (merit >= 1145 | merit <= 141) & merit != .
  22

List of those 22 days

Code:

. list id merit date if (merit >= 1145 | merit <= 141) & merit != .

     +-------------------------+
     |  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 |
 24. |  50    1159   14mar2018 |
 30. |  56    1322   20mar2018 |
 31. |  57    1227   21mar2018 |
     |-------------------------|
 42. |  68    1233   01apr2018 |
 43. |  69    1146   02apr2018 |
210. | 236    2463   16sep2018 |
211. | 237    1862   17sep2018 |
212. | 238    1294   18sep2018 |
     |-------------------------|
213. | 239    1268   19sep2018 |
325. | 351    1161   09jan2019 |
     +-------------------------+

Only one of them occured in 2019, on 09/1/2019.



Notes:
Update more later

[tranthidung]

Medians and means of intra-day merits over days of weeks.

- In median, the highest days are Monday, Wednesday, and Thursday at 674, 652, and 640, respectively; whislt the lowest days are Friday, Saturday, and Sunday at 548, 601, and 610, respectively.
- In means, the highest days are Monday, Wednesday, and Sunday at 747, 716, and 700, respectively; whilst the lowest days are Friday, Saturday, and Thursday at 616, 629, and 673, respectively.
- In both medians and means, Monday is the highest day, whilst the lowest day is Friday.

Calendar day is in GMT time.

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.

Basic statistics:

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 |      50.0     699.9     336.0     610.0     476.0     804.0     389.0    2463.0
   Monday |      51.0     746.6     301.8     674.0     536.0     822.0     312.0    1862.0
  Tuesday |      51.0     697.2     230.1     626.0     578.0     768.0     383.0    1326.0
Wednesday |      51.0     715.2     221.7     652.0     558.0     761.0     435.0    1268.0
 Thursday |      50.0     673.0     225.7     639.5     509.0     774.0     347.0    1333.0
   Friday |      50.0     616.0     232.1     548.0     475.0     698.0     348.0    1696.0
 Saturday |      50.0     628.4     222.5     600.5     461.0     695.0     316.0    1409.0
----------+--------------------------------------------------------------------------------
    Total |     353.0     682.6     257.9     620.0     517.0     773.0     312.0    2463.0
-------------------------------------------------------------------------------------------

Box plots
Outliers displayed as red circles.

Outliers non-displayed.

[tranthidung]

List of the top 50-highest day in terms of intra-day 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 |
     |-------------------------------------------------------------------------------|

List of the top 50-lowest days in terms of intra-day 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   298   17nov2018    Saturday    17       11   2018   2018w46   2018m11 |
  5. |   347   338   27dec2018    Thursday    27       12   2018   2018w52   2018m12 |
     |-------------------------------------------------------------------------------|
  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   109   12may2018    Saturday    12        5   2018   2018w19    2018m5 |
 24. |   415   278   28oct2018      Sunday    28       10   2018   2018w43   2018m10 |
 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   264   14oct2018      Sunday    14       10   2018   2018w41   2018m10 |
 33. |   430   284   03nov2018    Saturday     3       11   2018   2018w44   2018m11 |
 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   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. |   450   373   31jan2019    Thursday    31        1   2019    2019w5    2019m1 |
 42. |   451   206   17aug2018      Friday    17        8   2018   2018w33    2018m8 |
 43. |   454   283   02nov2018      Friday     2       11   2018   2018w44   2018m11 |
 44. |   455   229   09sep2018      Sunday     9        9   2018   2018w36    2018m9 |
 45. |   455   167   09jul2018      Monday     9        7   2018   2018w28    2018m7 |
     |-------------------------------------------------------------------------------|
 46. |   457   216   27aug2018      Monday    27        8   2018   2018w35    2018m8 |
 47. |   458   324   13dec2018    Thursday    13       12   2018   2018w50   2018m12 |
 48. |   458   227   07sep2018      Friday     7        9   2018   2018w36    2018m9 |
 49. |   460   263   13oct2018    Saturday    13       10   2018   2018w41   2018m10 |
 50. |   461   130   02jun2018    Saturday     2        6   2018   2018w22    2018m6 |
     |-------------------------------------------------------------------------------|

During the period from 24/1/2018 to 11/2/2019, the minimum and maximum of intra-day merits are 312 and 13018 , on 24/12/2018 and 24/1/2018, respectively.

[tranthidung]

Update on intra-week merits (from 24/1/2018 to 11/2/2019)

Converted dataset:

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 |
 53. |  4659    2019w4 |
 54. |  4474    2019w5 |
 55. |  4318    2019w6 |
     +-----------------+

Time series plot

Basic statistics:
- 50% of observed weeks have total intra-week merits above 4474, whilst the rest 50% of them have total intra-week merits below 4474. 4474 is the median.
- 50% of observed weeks have total intra-week merits fluctuated in the range from 3800 to 5630 (the interquartile range, from p25 to p75, in raw statistics below).
- Min - max: 3065 - 30949.

Code:

.         tabstat merit, s(n mean sd p50 p25 p75 min max)

    variable |         N      mean        sd       p50       p25       p75       min       max
-------------+--------------------------------------------------------------------------------
       merit |        55  5816.127  4456.532      4474      3800      5630      3065     30949
----------------------------------------------------------------------------------------------

Potential outliers:

Code:

. di 5630-3800
1830

. di 1830*1.5
2745

. di 5630+2745
8375

. di 3800-2745
1055

It means that potential outliers are weeks that have intra-week merits beyond 1055 or 8375.
How many weeks are potential outliers?

Code:

. count if (merit >= 8375| merit < 1055) & merit != .
  6

6 weeks are outliers, in total.
List of those six weeks:

Code:

. list merit week if merit >=8375 | merit <=1055

     +----------------+
     | merit     week |
     |----------------|
  1. | 30949   2018w4 |
  2. | 19958   2018w5 |
  3. | 13304   2018w6 |
  4. | 11722   2018w7 |
  5. |  8758   2018w8 |
     |----------------|
  6. |  8806   2018w9 |
     +----------------+

All of them occured in the year 2018.  

[tranthidung]

ABSTRACT

Intra-day merits:
Notes:
- The part of the asbstract describes figures of intraday merits over the period from 19/2/2018 to 11/02/2019 (truncated dataset);
- Days from 24/1/2018 to 18/2/2018 truncated due to highly potential outliers; and days after 04/02/2019 truncated as well due to incomplete week (the seventh week of 2019, 2019w7);
- Statistics presented in the post are for truncated dataset.

(1) Potential outliers are days that have intraday total merits beyond 141 or 1145;
(2) Median of intraday merits over the period is 620;
(3) 50% of observed days have their intra-day merits range from 517 to 768 (the interquartile range);
(4) Friday [in GTM time] is the day over weeks has lowest intraday merits in terms of both median and mean, at 548, and 616, respectively.
(5) Monday [in GMT time] is the day over weeks has highest intraday merits in terms of both median and mean, at 674, and 747, respectively.
(6) There are 22 potential outliers in total, and there is only one potential outlier day happened in early weeks of 2019, on 09 Jan. 2019, at 1161.
(7) Minimum and maximum of intraday merits (full dataset) are 312 and 13018, on 11/2/2019 and 24/1/2018 respectively.

Intra-week merits:
Notes:
The part of the abstract use full dataset, only dropped last two days due to incomple week (2019w7).

(1)   The median of intra-week merits is 4474;
(2)   50% of observed weeks (55 weeeks in total), have total merits in the range from 3800 to 5630 (the interquaritle range of intra-week merits);
(3)   Minimum and maximum of intraweek merits are 3065 and 30949, in 2018w35, and 2018w4, respectively;
(4)   Six potential outliers [beyond 1055 or 8375], all of them occurred in the year 2018.

[LoyceV]

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: 450 Merit
Day 374: 595 Merit
Day 375: 940 Merit
Day 376: 571 Merit
Day 377: 796 Merit
Day 378: 776 Merit
Day 379: 559 Merit
Day 380: 548 Merit
Day 381: 611 Merit
Day 382: 623 Merit
Day 383: 559 Merit
Day 384: 642 Merit
Day 385: 585 Merit
Day 386: 671 Merit
Day 387: 649 Merit
Day 388: 607 Merit
Day 389: 523 Merit
Day 390: 607 Merit
Day 391: 565 Merit
Day 392: 637 Merit
Day 393: 696 Merit
Day 394: 60 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: 4657 Merit
Week 55: 4137 Merit
Week 56: 4269 Merit
Week 57: 757 Merit (incomplete week)

[tranthidung]

Converted intra-day merits 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 |
     |-----------------------------------------------------------------------------|
373. | 373     450   31jan2019    31        1   2019   2019w5   2019m1    Thursday |
374. | 374     595   01feb2019     1        2   2019   2019w5   2019m2      Friday |
375. | 375     940   02feb2019     2        2   2019   2019w5   2019m2    Saturday |
376. | 376     571   03feb2019     3        2   2019   2019w5   2019m2      Sunday |
377. | 377     796   04feb2019     4        2   2019   2019w5   2019m2      Monday |
     |-----------------------------------------------------------------------------|
378. | 378     776   05feb2019     5        2   2019   2019w6   2019m2     Tuesday |
379. | 379     559   06feb2019     6        2   2019   2019w6   2019m2   Wednesday |
380. | 380     548   07feb2019     7        2   2019   2019w6   2019m2    Thursday |
381. | 381     611   08feb2019     8        2   2019   2019w6   2019m2      Friday |
382. | 382     623   09feb2019     9        2   2019   2019w6   2019m2    Saturday |
     |-----------------------------------------------------------------------------|
383. | 383     559   10feb2019    10        2   2019   2019w6   2019m2      Sunday |
384. | 384     642   11feb2019    11        2   2019   2019w6   2019m2      Monday |
385. | 385     585   12feb2019    12        2   2019   2019w7   2019m2     Tuesday |
386. | 386     671   13feb2019    13        2   2019   2019w7   2019m2   Wednesday |
387. | 387     649   14feb2019    14        2   2019   2019w7   2019m2    Thursday |
     |-----------------------------------------------------------------------------|
388. | 388     607   15feb2019    15        2   2019   2019w7   2019m2      Friday |
389. | 389     523   16feb2019    16        2   2019   2019w7   2019m2    Saturday |
390. | 390     607   17feb2019    17        2   2019   2019w7   2019m2      Sunday |
391. | 391     565   18feb2019    18        2   2019   2019w7   2019m2      Monday |
392. | 392     637   19feb2019    19        2   2019   2019w8   2019m2     Tuesday |
     |-----------------------------------------------------------------------------|
393. | 393     696   20feb2019    20        2   2019   2019w8   2019m2   Wednesday |
     +-----------------------------------------------------------------------------+

For days in 2018, please get it there