Time Series Analysis on Distributed Merits in the forum (daily, weekly, monthly) - page 29.

tranthidung

legendary

Activity: 2310

Merit: 4085

Farewell o_e_l_e_o

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

- In median, the highest days are Monday, Wednesday, and Thursday at 658, 653, and 640, respectively; whislt the lowest days are Friday, Saturday, and Sunday at 561, 601, and 605, respectively.
- In means, the highest days are Monday, Wednesday, and both Sunday, Tuesday at 742, 715, and 696, respectively; whilst the lowest days are Friday, Saturday, and Thursday at 616, 627, and 671, respectively.
- In both medians and means, Monday is the highest day, whilst the lowest day is Friday.

Calendar day is in GMT time.

Quote from: LoyceV on January 04, 2019, 11:10:19 AM

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 |      52.0     695.4     330.2     605.0     481.0     800.0     389.0    2463.0
   Monday |      53.0     741.2     297.3     658.0     562.0     808.0     312.0    1862.0
  Tuesday |      52.0     695.1     228.4     626.0     579.0     767.5     383.0    1326.0
Wednesday |      52.0     714.3     219.6     653.0     558.5     760.0     435.0    1268.0
 Thursday |      52.0     670.1     221.9     639.5     511.5     769.0     347.0    1333.0
   Friday |      52.0     615.7     227.5     560.5     477.0     690.0     348.0    1696.0
 Saturday |      52.0     626.3     218.6     600.5     462.0     691.5     316.0    1409.0
----------+--------------------------------------------------------------------------------
    Total |     365.0     679.9     254.2     618.0     519.0     767.0     312.0    2463.0
-------------------------------------------------------------------------------------------

Box plots
Outliers displayed as red circles.

Outliers non-displayed.

tranthidung

legendary

Activity: 2310

Merit: 4085

Farewell o_e_l_e_o

Update on intra-day merit
(from 24/1/2018 to 20/2/2019)

Time series plots:
Full dataset

Truncated dataset:

Basic statistics:
Full dataset

Code:

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

    variable |         N      mean        sd       p50       p25       p75       min       max
-------------+--------------------------------------------------------------------------------
       merit |       393  828.0585  859.2113       636       526       813       312     13018
----------------------------------------------------------------------------------------------

First two days dropped, and last two days dropped (due to incomplete week, 2019w8):

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 |     389.0     782.3     519.5     632.0     525.0     808.0     312.0    4493.0
----------------------------------------------------------------------------------------------

Potential outliers:

Code:

. di 808-525
283

. di 283*1.5
424.5

. di 808+424.5
1232.5

. di 525-424.5
100.5

How many outliers identified?

Code:

. count if (merit >= 1232.5 | merit <= 100.5) & merit != .
  40

40 days in total are extremely potential outliers.

List of 40 potential outliers, none of them occured in 2019.

Code:

. list id merit date if (merit >= 1232.5 | merit <= 100.5) & 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 |
     |-------------------------|
 27. |  29    1266   21feb2018 |
 28. |  30    1279   22feb2018 |
 30. |  32    1409   24feb2018 |
 32. |  34    1382   26feb2018 |
 33. |  35    1326   27feb2018 |
     |-------------------------|
 35. |  37    1333   01mar2018 |
 36. |  38    1696   02mar2018 |
 39. |  41    1245   05mar2018 |
 46. |  48    1354   12mar2018 |
 54. |  56    1322   20mar2018 |
     |-------------------------|
 66. |  68    1233   01apr2018 |
234. | 236    2463   16sep2018 |
235. | 237    1862   17sep2018 |
236. | 238    1294   18sep2018 |
237. | 239    1268   19sep2018 |
     +-------------------------+

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 |     365.0     679.9     254.2     618.0     519.0     767.0     312.0    2463.0
----------------------------------------------------------------------------------------------

Potential outliers:

Code:

. di 767-519
248

. di 1.5*248
372

. di 767+372
1139

. di 519-372
147

How many potential outliers identified in truncated dataset?

Code:

. count if (merit >= 1139 | merit <= 147) & merit != .
  22

List of those 22 days

Code:

. list id merit date if (merit >= 1139 | merit <= 147) & 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.

tranthidung

legendary

Activity: 2310

Merit: 4085

Farewell o_e_l_e_o

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

LoyceV

legendary

Activity: 3290

Merit: 16489

Thick-Skinned Gang Leader and Golden Feather 2021

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

legendary

Activity: 2310

Merit: 4085

Farewell o_e_l_e_o

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.

tranthidung

legendary

Activity: 2310

Merit: 4085

Farewell o_e_l_e_o

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. Grin

tranthidung

legendary

Activity: 2310

Merit: 4085

Farewell o_e_l_e_o

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

legendary

Activity: 2310

Merit: 4085

Farewell o_e_l_e_o

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.

Quote from: LoyceV on January 04, 2019, 11:10:19 AM

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

legendary

Activity: 2310

Merit: 4085

Farewell o_e_l_e_o

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

legendary

Activity: 2310

Merit: 4085

Farewell o_e_l_e_o

Thanks LoyceV, for another data dump in my topic. Cheesy

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

LoyceV

legendary

Activity: 3290

Merit: 16489

Thick-Skinned Gang Leader and Golden Feather 2021

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

legendary

Activity: 2310

Merit: 4085

Farewell o_e_l_e_o

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.

tranthidung

legendary

Activity: 2310

Merit: 4085

Farewell o_e_l_e_o

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

legendary

Activity: 2310

Merit: 4085

Farewell o_e_l_e_o

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

Quote from: tranthidung on February 10, 2019, 06:58:34 AM

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

legendary

Activity: 2310

Merit: 4085

Farewell o_e_l_e_o

Update:

ABSTRACT
Notes:
- The asbstract describes figures of intraday merits over the period from 19/2/2018 to 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

legendary

Activity: 2310

Merit: 4085

Farewell o_e_l_e_o

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.

LoyceV

legendary

Activity: 3290

Merit: 16489

Thick-Skinned Gang Leader and Golden Feather 2021

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

legendary

Activity: 2310

Merit: 4085

Farewell o_e_l_e_o

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 |
   +----------------+

tranthidung

legendary

Activity: 2310

Merit: 4085

Farewell o_e_l_e_o

Update:

ABSTRACT
Notes:
- The asbstract describes figures of intraday merits over the period from 19/2/2018 to 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

legendary

Activity: 2310

Merit: 4085

Farewell o_e_l_e_o

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.

Quote from: tranthidung on January 29, 2019, 11:10:26 PM

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.

Quote from: suchmoon on January 29, 2019, 09:54:50 AM

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

Topic: Time Series Analysis on Distributed Merits in the forum (daily, weekly, monthly) - page 29. (Read 29462 times)