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Time-series plots:Full dataset:Truncated dataset: Basic statistics (for full dataset): Only drop last 3 days that belong to the 2020w18 (daydi = 827, 828), the incomplete week & incomlete day (dayid = 829). variable | N mean sd p50 p25 p75 min max -------------+-------------------------------------------------------------------------------- merit | 826 791.977 654.9271 668 560 823 300 12676 ----------------------------------------------------------------------------------------------
Applied formulas in previous weeks, potential outliers are days have intra-day merits beyond 166 or 1218. . di 823-560 263
. di 263*1.5 394.5
. di 823+394.5 1217.5
. di 560-394.5 165.5
There are 54 outliers (beyond 1218 or 166) in full dataset, in total. . count if (merit >= 1218 | merit <= 166) & merit != . 55
Those days are: +---------------------------+ | dayid merit date | |---------------------------| 2. | 2 12676 25jan2018 | 3. | 3 6348 26jan2018 | 4. | 4 4627 27jan2018 | 5. | 5 3240 28jan2018 | 6. | 6 3343 29jan2018 | 7. | 7 3804 30jan2018 | 8. | 8 4103 31jan2018 | 9. | 9 2793 01feb2018 | 10. | 10 2621 02feb2018 | 11. | 11 2476 03feb2018 | 12. | 12 1790 04feb2018 | 13. | 13 2263 05feb2018 | 14. | 14 2003 06feb2018 | 15. | 15 2367 07feb2018 | 16. | 16 2059 08feb2018 | 17. | 17 2223 09feb2018 | 18. | 18 1334 10feb2018 | 19. | 19 1793 11feb2018 | 20. | 20 1475 12feb2018 | 21. | 21 1289 13feb2018 | 22. | 22 1580 14feb2018 | 23. | 23 2797 15feb2018 | 24. | 24 1740 16feb2018 | 25. | 25 1431 17feb2018 | 26. | 26 1589 18feb2018 | 27. | 27 1289 19feb2018 | 28. | 28 1442 20feb2018 | 30. | 30 1277 22feb2018 | 31. | 31 1249 23feb2018 | 33. | 33 1372 25feb2018 | 35. | 35 1414 27feb2018 | 36. | 36 1302 28feb2018 | 38. | 38 1345 02mar2018 | 39. | 39 1727 03mar2018 | 49. | 49 1316 13mar2018 | 51. | 51 1224 15mar2018 | 57. | 57 1390 21mar2018 | 237. | 237 2553 17sep2018 | 238. | 238 1807 18sep2018 | 239. | 239 1347 19sep2018 | 240. | 240 1221 20sep2018 | |---------------------------| 429. | 429 1247 28mar2019 | 505. | 505 1227 12jun2019 | 660. | 660 1630 14nov2019 | 661. | 661 2374 15nov2019 | 662. | 662 1585 16nov2019 | 663. | 663 1377 17nov2019 | 664. | 664 2783 18nov2019 | 665. | 665 3826 19nov2019 | 666. | 666 2584 20nov2019 | 667. | 667 4889 21nov2019 | 668. | 668 5515 22nov2019 | 669. | 669 1590 23nov2019 | 678. | 678 1465 02dec2019 | |---------------------------| 755. | 755 1364 17feb2020 | +---------------------------+
Distributions of outliers over years:- 2018: 41 (74.6%)
- 2019: 13 (23.6%)
- 2020: 1 (1.8%)
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May 02, 2020, 12:59:27 PM |
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During the period from 24/1/2018 to 28/4/2020 (last 3 days dropped due to incomplete week, 2020w18 and an incomplete day - dayid = 829), the minimum and maximum of intra-day merit are 300 and 12676, on 04/8/2019 and 25/1/2018, respectively. List of the top 50-highest day in terms of intra-day merits: +-----------------------------------------------------------------------------+ | rank_max merit dayid date dofw week month year | |-----------------------------------------------------------------------------| 1. | 1 12676 2 25jan2018 Thursday 2018w4 2018m1 2018 | 2. | 2 6348 3 26jan2018 Friday 2018w4 2018m1 2018 | 3. | 3 5515 668 22nov2019 Friday 2019w47 2019m11 2019 | 4. | 4 4889 667 21nov2019 Thursday 2019w47 2019m11 2019 | 5. | 5 4627 4 27jan2018 Saturday 2018w4 2018m1 2018 | |-----------------------------------------------------------------------------| 6. | 6 4103 8 31jan2018 Wednesday 2018w5 2018m1 2018 | 7. | 7 3826 665 19nov2019 Tuesday 2019w47 2019m11 2019 | 8. | 8 3804 7 30jan2018 Tuesday 2018w5 2018m1 2018 | 9. | 9 3343 6 29jan2018 Monday 2018w5 2018m1 2018 | 10. | 10 3240 5 28jan2018 Sunday 2018w4 2018m1 2018 | |-----------------------------------------------------------------------------| 11. | 11 2797 23 15feb2018 Thursday 2018w7 2018m2 2018 | 12. | 12 2793 9 01feb2018 Thursday 2018w5 2018m2 2018 | 13. | 13 2783 664 18nov2019 Monday 2019w46 2019m11 2019 | 14. | 14 2621 10 02feb2018 Friday 2018w5 2018m2 2018 | 15. | 15 2584 666 20nov2019 Wednesday 2019w47 2019m11 2019 | |-----------------------------------------------------------------------------| 16. | 16 2553 237 17sep2018 Monday 2018w38 2018m9 2018 | 17. | 17 2476 11 03feb2018 Saturday 2018w5 2018m2 2018 | 18. | 18 2374 661 15nov2019 Friday 2019w46 2019m11 2019 | 19. | 19 2367 15 07feb2018 Wednesday 2018w6 2018m2 2018 | 20. | 20 2263 13 05feb2018 Monday 2018w6 2018m2 2018 | |-----------------------------------------------------------------------------| 21. | 21 2223 17 09feb2018 Friday 2018w6 2018m2 2018 | 22. | 22 2059 16 08feb2018 Thursday 2018w6 2018m2 2018 | 23. | 23 2003 14 06feb2018 Tuesday 2018w6 2018m2 2018 | 24. | 24 1807 238 18sep2018 Tuesday 2018w38 2018m9 2018 | 25. | 25 1793 19 11feb2018 Sunday 2018w6 2018m2 2018 | |-----------------------------------------------------------------------------| 26. | 26 1790 12 04feb2018 Sunday 2018w5 2018m2 2018 | 27. | 27 1740 24 16feb2018 Friday 2018w7 2018m2 2018 | 28. | 28 1727 39 03mar2018 Saturday 2018w9 2018m3 2018 | 29. | 29 1630 660 14nov2019 Thursday 2019w46 2019m11 2019 | 30. | 30 1590 669 23nov2019 Saturday 2019w47 2019m11 2019 | |-----------------------------------------------------------------------------| 31. | 31 1589 26 18feb2018 Sunday 2018w7 2018m2 2018 | 32. | 32 1585 662 16nov2019 Saturday 2019w46 2019m11 2019 | 33. | 33 1580 22 14feb2018 Wednesday 2018w7 2018m2 2018 | 34. | 34 1475 20 12feb2018 Monday 2018w7 2018m2 2018 | 35. | 35 1465 678 02dec2019 Monday 2019w48 2019m12 2019 | |-----------------------------------------------------------------------------| 36. | 36 1442 28 20feb2018 Tuesday 2018w8 2018m2 2018 | 37. | 37 1431 25 17feb2018 Saturday 2018w7 2018m2 2018 | 38. | 38 1414 35 27feb2018 Tuesday 2018w9 2018m2 2018 | 39. | 39 1390 57 21mar2018 Wednesday 2018w12 2018m3 2018 | 40. | 40 1377 663 17nov2019 Sunday 2019w46 2019m11 2019 | |-----------------------------------------------------------------------------| 41. | 41 1372 33 25feb2018 Sunday 2018w8 2018m2 2018 | 42. | 42 1364 755 17feb2020 Monday 2020w7 2020m2 2020 | 43. | 43 1347 239 19sep2018 Wednesday 2018w38 2018m9 2018 | 44. | 44 1345 38 02mar2018 Friday 2018w9 2018m3 2018 | 45. | 45 1334 18 10feb2018 Saturday 2018w6 2018m2 2018 | |-----------------------------------------------------------------------------| 46. | 46 1316 49 13mar2018 Tuesday 2018w11 2018m3 2018 | 47. | 47 1302 36 28feb2018 Wednesday 2018w9 2018m2 2018 | 48. | 48 1289 21 13feb2018 Tuesday 2018w7 2018m2 2018 | 49. | 49 1289 27 19feb2018 Monday 2018w8 2018m2 2018 | 50. | 50 1277 30 22feb2018 Thursday 2018w8 2018m2 2018 | +-----------------------------------------------------------------------------+
List of the top 50-lowest days in terms of intra-day merits: +-----------------------------------------------------------------------------+ | rank_min merit dayid date dofw week month year | |-----------------------------------------------------------------------------| 1. | 1 300 558 04aug2019 Sunday 2019w31 2019m8 2019 | 2. | 2 333 341 30dec2018 Sunday 2018w52 2018m12 2018 | 3. | 3 339 343 01jan2019 Tuesday 2019w1 2019m1 2019 | 4. | 4 347 299 18nov2018 Sunday 2018w46 2018m11 2018 | 5. | 5 347 330 19dec2018 Wednesday 2018w51 2018m12 2018 | |-----------------------------------------------------------------------------| 6. | 6 351 334 23dec2018 Sunday 2018w51 2018m12 2018 | 7. | 7 366 218 29aug2018 Wednesday 2018w35 2018m8 2018 | 8. | 8 367 565 11aug2019 Sunday 2019w32 2019m8 2019 | 9. | 9 370 223 03sep2018 Monday 2018w36 2018m9 2018 | 10. | 10 373 339 28dec2018 Friday 2018w52 2018m12 2018 | |-----------------------------------------------------------------------------| 11. | 11 375 340 29dec2018 Saturday 2018w52 2018m12 2018 | 12. | 12 377 600 15sep2019 Sunday 2019w37 2019m9 2019 | 13. | 13 378 566 12aug2019 Monday 2019w32 2019m8 2019 | 14. | 14 378 567 13aug2019 Tuesday 2019w33 2019m8 2019 | 15. | 15 378 305 24nov2018 Saturday 2018w47 2018m11 2018 | |-----------------------------------------------------------------------------| 16. | 16 380 192 03aug2018 Friday 2018w31 2018m8 2018 | 17. | 17 381 336 25dec2018 Tuesday 2018w52 2018m12 2018 | 18. | 18 385 215 26aug2018 Sunday 2018w34 2018m8 2018 | 19. | 19 385 327 16dec2018 Sunday 2018w50 2018m12 2018 | 20. | 20 391 221 01sep2018 Saturday 2018w35 2018m9 2018 | |-----------------------------------------------------------------------------| 21. | 21 394 188 30jul2018 Monday 2018w31 2018m7 2018 | 22. | 22 399 593 08sep2019 Sunday 2019w36 2019m9 2019 | 23. | 23 401 557 03aug2019 Saturday 2019w31 2019m8 2019 | 24. | 24 401 288 07nov2018 Wednesday 2018w45 2018m11 2018 | 25. | 25 402 263 13oct2018 Saturday 2018w41 2018m10 2018 | |-----------------------------------------------------------------------------| 26. | 26 404 229 09sep2018 Sunday 2018w36 2018m9 2018 | 27. | 27 406 277 27oct2018 Saturday 2018w43 2018m10 2018 | 28. | 28 408 530 07jul2019 Sunday 2019w27 2019m7 2019 | 29. | 29 409 123 26may2018 Saturday 2018w21 2018m5 2018 | 30. | 30 409 589 04sep2019 Wednesday 2019w36 2019m9 2019 | |-----------------------------------------------------------------------------| 31. | 31 410 279 29oct2018 Monday 2018w44 2018m10 2018 | 32. | 32 411 578 24aug2019 Saturday 2019w34 2019m8 2019 | 33. | 33 411 569 15aug2019 Thursday 2019w33 2019m8 2019 | 34. | 34 414 528 05jul2019 Friday 2019w27 2019m7 2019 | 35. | 35 421 193 04aug2018 Saturday 2018w31 2018m8 2018 | |-----------------------------------------------------------------------------| 36. | 36 425 588 03sep2019 Tuesday 2019w36 2019m9 2019 | 37. | 37 426 346 04jan2019 Friday 2019w1 2019m1 2019 | 38. | 38 426 230 10sep2018 Monday 2018w37 2018m9 2018 | 39. | 39 427 141 13jun2018 Wednesday 2018w24 2018m6 2018 | 40. | 40 430 207 18aug2018 Saturday 2018w33 2018m8 2018 | |-----------------------------------------------------------------------------| 41. | 41 432 587 02sep2019 Monday 2019w35 2019m9 2019 | 42. | 42 435 522 29jun2019 Saturday 2019w26 2019m6 2019 | 43. | 43 436 419 18mar2019 Monday 2019w11 2019m3 2019 | 44. | 44 440 559 05aug2019 Monday 2019w31 2019m8 2019 | 45. | 45 440 585 31aug2019 Saturday 2019w35 2019m8 2019 | |-----------------------------------------------------------------------------| 46. | 46 440 265 15oct2018 Monday 2018w42 2018m10 2018 | 47. | 47 441 404 03mar2019 Sunday 2019w9 2019m3 2019 | 48. | 48 441 319 08dec2018 Saturday 2018w49 2018m12 2018 | 49. | 49 442 278 28oct2018 Sunday 2018w43 2018m10 2018 | 50. | 50 442 342 31dec2018 Monday 2018w52 2018m12 2018 | +-----------------------------------------------------------------------------+
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May 02, 2020, 01:02:20 PM |
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Medians and means of intra-day merits over days of weeks GMT timeColors: - Green: highest.
- Red: Lowest.
- In median, the highest days are Thursday , Tuesday, and Friday at 706, 706, and 705, respectively; whislt the lowest days are Saturday, Sunday, and Monday at 611, 627, and 661, respectively. - In means, the highest days are Thursday, Friday, and Tuesday at 911, 853, and 813, respectively; whilst the lowest days are Sunday, Saturday, and Monday, at 693, 709, and 780, respectively. Basic statistics:Summary for variables: merit by categories of: dofw
dofw | N mean sd p50 p25 p75 min max ----------+-------------------------------------------------------------------------------- Sunday | 118.0 692.6 355.7 627.0 503.0 739.0 300.0 3240.0 Monday | 118.0 779.5 438.2 660.5 562.0 859.0 370.0 3343.0 Tuesday | 118.0 813.0 478.2 706.0 594.0 871.0 339.0 3826.0 Wednesday | 118.0 786.5 435.9 674.0 603.0 837.0 347.0 4103.0 Thursday | 118.0 910.9 1210.8 706.0 586.0 837.0 411.0 12676.0 Friday | 118.0 852.8 753.8 704.5 566.0 837.0 373.0 6348.0 Saturday | 118.0 708.7 466.4 611.0 509.0 736.0 375.0 4627.0 ----------+-------------------------------------------------------------------------------- Total | 826.0 792.0 654.9 668.0 560.0 823.0 300.0 12676.0 -------------------------------------------------------------------------------------------
Box plotsOutliers non-displayed. Since this week, I have stopped to give you box plot with outliers, and changed box colors for days of week. I hope you like the color changes.Details on ranks:In medians +----------------------------------------------------------------------+ | rankmedian dofw median mean p25 p75 min max | |----------------------------------------------------------------------| 1. | 1 Thursday 706 910.8644 586 837 411 12676 | 2. | 2 Tuesday 706 813.0085 594 871 339 3826 | 3. | 3 Friday 704.5 852.7542 566 837 373 6348 | 4. | 4 Wednesday 674 786.4915 603 837 347 4103 | 5. | 5 Monday 660.5 779.483 562 859 370 3343 | |----------------------------------------------------------------------| 6. | 6 Sunday 627 692.5763 503 739 300 3240 | 7. | 7 Saturday 611 708.661 509 736 375 4627 | +----------------------------------------------------------------------+
In means +--------------------------------------------------------------------+ | rankmean dofw mean median p25 p75 min max | |--------------------------------------------------------------------| 1. | 1 Thursday 910.8644 706 586 837 411 12676 | 2. | 2 Friday 852.7542 704.5 566 837 373 6348 | 3. | 3 Tuesday 813.0085 706 594 871 339 3826 | 4. | 4 Wednesday 786.4915 674 603 837 347 4103 | 5. | 5 Monday 779.483 660.5 562 859 370 3343 | |--------------------------------------------------------------------| 6. | 6 Saturday 708.661 611 509 736 375 4627 | 7. | 7 Sunday 692.5763 627 503 739 300 3240 | +--------------------------------------------------------------------+
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May 02, 2020, 01:07:26 PM |
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Intra-week merits (from 24/1/2018 to 28/4/2020)Last 3 days dropped due to incomplete week (2020w18) and an incomplete day (dayid = 829)Converted dataset: +-----------------+ | merit week | |-----------------| 1. | 27920 2018w4 | 2. | 20930 2018w5 | 3. | 14042 2018w6 | 4. | 11901 2018w7 | 5. | 8879 2018w8 | |-----------------| 6. | 9005 2018w9 | 7. | 7178 2018w10 | 8. | 7340 2018w11 | 9. | 7138 2018w12 | 10. | 6392 2018w13 | |-----------------| 11. | 6542 2018w14 | 12. | 5946 2018w15 | 13. | 4449 2018w16 | 14. | 4820 2018w17 | 15. | 5043 2018w18 | |-----------------| 16. | 4685 2018w19 | 17. | 4431 2018w20 | 18. | 3903 2018w21 | 19. | 4248 2018w22 | 20. | 4473 2018w23 | |-----------------| 21. | 3953 2018w24 | 22. | 4574 2018w25 | 23. | 4684 2018w26 | 24. | 4367 2018w27 | 25. | 4109 2018w28 | |-----------------| 26. | 4277 2018w29 | 27. | 3809 2018w30 | 28. | 3489 2018w31 | 29. | 4199 2018w32 | 30. | 3767 2018w33 | |-----------------| 31. | 3763 2018w34 | 32. | 3186 2018w35 | 33. | 3536 2018w36 | 34. | 3586 2018w37 | 35. | 9587 2018w38 | |-----------------| 36. | 4508 2018w39 | 37. | 4325 2018w40 | 38. | 3981 2018w41 | 39. | 4424 2018w42 | 40. | 4386 2018w43 | |-----------------| 41. | 3321 2018w44 | 42. | 4175 2018w45 | 43. | 4047 2018w46 | 44. | 4606 2018w47 | 45. | 3791 2018w48 | |-----------------| 46. | 3596 2018w49 | 47. | 3689 2018w50 | 48. | 3615 2018w51 | 49. | 3687 2018w52 | 50. | 4584 2019w1 | |-----------------| 51. | 6102 2019w2 | 52. | 5776 2019w3 | 53. | 4582 2019w4 | 54. | 4408 2019w5 | 55. | 4505 2019w6 | |-----------------| 56. | 4259 2019w7 | 57. | 4314 2019w8 | 58. | 4726 2019w9 | 59. | 4979 2019w10 | 60. | 4295 2019w11 | |-----------------| 61. | 4690 2019w12 | 62. | 5728 2019w13 | 63. | 4695 2019w14 | 64. | 5253 2019w15 | 65. | 4880 2019w16 | |-----------------| 66. | 4260 2019w17 | 67. | 4817 2019w18 | 68. | 5002 2019w19 | 69. | 5596 2019w20 | 70. | 4693 2019w21 | |-----------------| 71. | 4342 2019w22 | 72. | 4597 2019w23 | 73. | 5373 2019w24 | 74. | 4629 2019w25 | 75. | 4672 2019w26 | |-----------------| 76. | 3882 2019w27 | 77. | 4462 2019w28 | 78. | 4005 2019w29 | 79. | 4377 2019w30 | 80. | 3603 2019w31 | |-----------------| 81. | 3346 2019w32 | 82. | 3965 2019w33 | 83. | 3811 2019w34 | 84. | 3579 2019w35 | 85. | 3683 2019w36 | |-----------------| 86. | 4005 2019w37 | 87. | 4382 2019w38 | 88. | 4348 2019w39 | 89. | 4209 2019w40 | 90. | 4701 2019w41 | |-----------------| 91. | 5160 2019w42 | 92. | 5375 2019w43 | 93. | 4816 2019w44 | 94. | 4753 2019w45 | 95. | 11070 2019w46 | |-----------------| 96. | 20397 2019w47 | 97. | 6271 2019w48 | 98. | 4650 2019w49 | 99. | 4832 2019w50 | 100. | 6066 2019w51 | |-----------------| 101. | 7058 2019w52 | 102. | 5745 2020w1 | 103. | 5395 2020w2 | 104. | 7247 2020w3 | 105. | 6646 2020w4 | |-----------------| 106. | 6756 2020w5 | 107. | 5573 2020w6 | 108. | 6923 2020w7 | 109. | 6314 2020w8 | 110. | 5237 2020w9 | |-----------------| 111. | 4622 2020w10 | 112. | 5109 2020w11 | 113. | 5603 2020w12 | 114. | 5392 2020w13 | 115. | 6061 2020w14 | |-----------------| 116. | 5094 2020w15 | 117. | 5052 2020w16 | 118. | 4539 2020w17 | +-----------------+
Time series plotBasic statistics:- 50% of observed weeks ( 118 weeks) have total intra-week merits above 4640, whilst the rest 50% of them have total intra-week merits below 4640. 4640 is the median - p50. - 50% of observed weeks have total intra-week merits fluctuated in the range from 4209 to 5596 (the interquartile range, from p25 to p75, in raw statistics below). - Min - max: 3186 - 27920. variable | N mean sd p50 p25 p75 min max -------------+-------------------------------------------------------------------------------- merit | 118.0 5543.8 3341.6 4639.5 4209.0 5596.0 3186.0 27920.0 ----------------------------------------------------------------------------------------------
Potential outliers:. di 5596-4209 1387
. di 1387*1.5 2080.5
. di 5596+2080.5 7676.5
. di 4209-2080.5 2128.5
It means that potential outliers are weeks that have intra-week merits beyond 2129 or 7677. How many weeks are potential outliers? . count if (merit >= 7677 | merit < 2129) & merit != . 9
9 weeks are outliers, in total. List of those 9 weeks: +-----------------+ | merit week | |-----------------| 1. | 27920 2018w4 | 2. | 20930 2018w5 | 3. | 14042 2018w6 | 4. | 11901 2018w7 | 5. | 8879 2018w8 | |-----------------| 6. | 9005 2018w9 | 35. | 9587 2018w38 | 95. | 11070 2019w46 | 96. | 20397 2019w47 | +-----------------+
Most of them occured in the year 2018, and there is only 2 outliers week occured in 2019, in 2019w46 (11070), 2019w47 (20397). None of them occured in 2020 so far. List of weeks in descending weekly meritsThe last week (with 4539 merits) stays at the 67th position, among 118 weeks. +------------------------------+ | weeklyrank merit week | |------------------------------| 1. | 1 27920 2018w4 | 2. | 2 20930 2018w5 | 3. | 3 20397 2019w47 | 4. | 4 14042 2018w6 | 5. | 5 11901 2018w7 | |------------------------------| 6. | 6 11070 2019w46 | 7. | 7 9587 2018w38 | 8. | 8 9005 2018w9 | 9. | 9 8879 2018w8 | 10. | 10 7340 2018w11 | |------------------------------| 11. | 11 7247 2020w3 | 12. | 12 7178 2018w10 | 13. | 13 7138 2018w12 | 14. | 14 7058 2019w52 | 15. | 15 6923 2020w7 | |------------------------------| 16. | 16 6756 2020w5 | 17. | 17 6646 2020w4 | 18. | 18 6542 2018w14 | 19. | 19 6392 2018w13 | 20. | 20 6314 2020w8 | |------------------------------| 21. | 21 6271 2019w48 | 22. | 22 6102 2019w2 | 23. | 23 6066 2019w51 | 24. | 24 6061 2020w14 | 25. | 25 5946 2018w15 | |------------------------------| 26. | 26 5776 2019w3 | 27. | 27 5745 2020w1 | 28. | 28 5728 2019w13 | 29. | 29 5603 2020w12 | 30. | 30 5596 2019w20 | |------------------------------| 31. | 31 5573 2020w6 | 32. | 32 5395 2020w2 | 33. | 33 5392 2020w13 | 34. | 34 5375 2019w43 | 35. | 35 5373 2019w24 | |------------------------------| 36. | 36 5253 2019w15 | 37. | 37 5237 2020w9 | 38. | 38 5160 2019w42 | 39. | 39 5109 2020w11 | 40. | 40 5094 2020w15 | |------------------------------| 41. | 41 5052 2020w16 | 42. | 42 5043 2018w18 | 43. | 43 5002 2019w19 | 44. | 44 4979 2019w10 | 45. | 45 4880 2019w16 | |------------------------------| 46. | 46 4832 2019w50 | 47. | 47 4820 2018w17 | 48. | 48 4817 2019w18 | 49. | 49 4816 2019w44 | 50. | 50 4753 2019w45 | |------------------------------| 51. | 51 4726 2019w9 | 52. | 52 4701 2019w41 | 53. | 53 4695 2019w14 | 54. | 54 4693 2019w21 | 55. | 55 4690 2019w12 | |------------------------------| 56. | 56 4685 2018w19 | 57. | 57 4684 2018w26 | 58. | 58 4672 2019w26 | 59. | 59 4650 2019w49 | 60. | 60 4629 2019w25 | |------------------------------| 61. | 61 4622 2020w10 | 62. | 62 4606 2018w47 | 63. | 63 4597 2019w23 | 64. | 64 4584 2019w1 | 65. | 65 4582 2019w4 | |------------------------------| 66. | 66 4574 2018w25 | 67. | 67 4539 2020w17 | 68. | 68 4508 2018w39 | 69. | 69 4505 2019w6 | 70. | 70 4473 2018w23 | |------------------------------| 71. | 71 4462 2019w28 | 72. | 72 4449 2018w16 | 73. | 73 4431 2018w20 | 74. | 74 4424 2018w42 | 75. | 75 4408 2019w5 | |------------------------------| 76. | 76 4386 2018w43 | 77. | 77 4382 2019w38 | 78. | 78 4377 2019w30 | 79. | 79 4367 2018w27 | 80. | 80 4348 2019w39 | |------------------------------| 81. | 81 4342 2019w22 | 82. | 82 4325 2018w40 | 83. | 83 4314 2019w8 | 84. | 84 4295 2019w11 | 85. | 85 4277 2018w29 | |------------------------------| 86. | 86 4260 2019w17 | 87. | 87 4259 2019w7 | 88. | 88 4248 2018w22 | 89. | 89 4209 2019w40 | 90. | 90 4199 2018w32 | |------------------------------| 91. | 91 4175 2018w45 | 92. | 92 4109 2018w28 | 93. | 93 4047 2018w46 | 94. | 94 4005 2019w37 | 95. | 95 4005 2019w29 | |------------------------------| 96. | 96 3981 2018w41 | 97. | 97 3965 2019w33 | 98. | 98 3953 2018w24 | 99. | 99 3903 2018w21 | 100. | 100 3882 2019w27 | |------------------------------| 101. | 101 3811 2019w34 | 102. | 102 3809 2018w30 | 103. | 103 3791 2018w48 | 104. | 104 3767 2018w33 | 105. | 105 3763 2018w34 | |------------------------------| 106. | 106 3689 2018w50 | 107. | 107 3687 2018w52 | 108. | 108 3683 2019w36 | 109. | 109 3615 2018w51 | 110. | 110 3603 2019w31 | |------------------------------| 111. | 111 3596 2018w49 | 112. | 112 3586 2018w37 | 113. | 113 3579 2019w35 | 114. | 114 3536 2018w36 | 115. | 115 3489 2018w31 | |------------------------------| 116. | 116 3346 2019w32 | 117. | 117 3321 2018w44 | 118. | 118 3186 2018w35 | +------------------------------+
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May 02, 2020, 01:12:36 PM |
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Intra-month merits (from 24/1/2018 to 30/4/2020)There are days dropped in order to get data for entire month. Day with id > 828 dropped because those days belong to the incomplete April of 2020 (2020m5).Converted dataset: +-----------------+ | merit month | |-----------------| 1. | 39170 2018m1 | 2. | 48374 2018m2 | 3. | 32141 2018m3 | 4. | 23482 2018m4 | 5. | 19807 2018m5 | |-----------------| 6. | 18693 2018m6 | 7. | 18286 2018m7 | 8. | 16631 2018m8 | 9. | 22075 2018m9 | 10. | 18592 2018m10 | |-----------------| 11. | 17442 2018m11 | 12. | 15609 2018m12 | 13. | 22875 2019m1 | 14. | 17756 2019m2 | 15. | 21467 2019m3 | |-----------------| 16. | 20698 2019m4 | 17. | 22069 2019m5 | 18. | 20355 2019m6 | 19. | 18485 2019m7 | 20. | 16094 2019m8 | |-----------------| 21. | 17406 2019m9 | 22. | 21583 2019m10 | 23. | 42866 2019m11 | 24. | 24909 2019m12 | 25. | 28281 2020m1 | |-----------------| 26. | 25475 2020m2 | 27. | 22806 2020m3 | 28. | 22524 2020m4 | +-----------------+
Time series plotBasic statistics:- 50% of observed months ( 28 months) have total intra-month merits above 21525, whilst the rest 50% of them have total intra-month merits below 21525. 21525 is the median - p50. - 50% of observed months have total intra-month merits fluctuated in the range from 18386 to 24196 (the interquartile range, from p25 to p75, in raw statistics below). - Min - max: 15609 - 48374. variable | N mean sd p50 p25 p75 min max -------------+-------------------------------------------------------------------------------- merit | 28 23426.82 8069.882 21525 18385.5 24195.5 15609 48374 ----------------------------------------------------------------------------------------------
Potential outliers:. di 24196-18386 5810
. di 5810*1.5 8715
. di 24196+8715 32911
. di 18386-8715 9671
It means that potential outliers are months that have intra-month merits beyond 9671 or 32911. How many months are potential outliers? . count if (merit >= 32911 | merit <= 9671) & merit != . 3
3 months are outliers, in total. List of those four months: +-----------------+ | merit month | |-----------------| 1. | 39170 2018m1 | 2. | 48374 2018m2 | 23. | 42866 2019m11 | +-----------------+
Most of them occured in the year 2018, during the first three months after merit system activated. Only one outlier month detected in 2019, that is 2019m11, at 42866.
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May 02, 2020, 02:26:38 PM |
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ABSTRACT 2020w17, GMT timeData is the full dataset since 24/1/2018, and only dropped last 3 days belong to incomplete week - 2020w18 and an incomplete day (dayid = 829). Details on days dropped, please see above posts. Intra-day merits:- Total observed days: 826
- Potential outliers are days that have intraday total merits beyond 166 or 1218
- Median of intraday merits over the period is 668
- 50% of observed days have their intra-day merits range from 560 to 823 (the interquartile range)
- In medians, the highest and lowest days are Thursday and Saturday, respectively; whilst the highest and lowest days in means are Thursday and Sunday, respectively. See here.
- There are 54 potential outliers (beyond 166 or 1218) in total.
- The distribution of outliers over years are: 41 (74.6%) for 2018, 13 (23.6%) for 2019, and 1 (1.8%) for 2020. (see details)
- Minimum and maximum of intraday merits (full dataset) are 300, and 12676, on 04/8/2019 and 25/1/2018, respectively.
Intra-week merits:- Total observed weeks: 118
- The median of intra-week merits is 4640
- 50% of observed weeks (118 weeks in total), have total merits in the range from 4209 to 5596 (the interquartile range of intra-week merits).
- Minimum and maximum of intra-week merits are 3186 and 27920, in 2018w35, and 2018w4, respectively;
- 9 potential outliers [beyond 2129 or 7677], only 2 of them occurred in the year 2019, on 2019w46 (11070), and 2019w47 (20397); none of them ocurred in 2020.
Intra-month merits:- Total observed weeks: 28
- The median of intra-week merits is 21525
- 50% of observed weeks (28 weeks in total), have total merits in the range from 18386 to 24196 (the interquartile range of intra-week merits).
- Minimum and maximum of intra-week merits are 15609 and 48374, in 2018m12, and 2018m2, respectively;
- 3 potential outliers [beyond 9671 or 32911], 2 of them occurred in the year 2018, 1 occured in 2019, whilst none of them ocurred in 2020.
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May 11, 2020, 04:40:34 AM |
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Converted dataset: - In 2020 at 08may2020 02:50:52 (GMT time)
- The last one, with dayid = 836 is an incomplete day.
+-----------------------------------------------------------------+ | dayid date merit dofw week month year | |-----------------------------------------------------------------| 708. | 708 01jan2020 810 Wednesday 2020w1 2020m1 2020 | 709. | 709 02jan2020 854 Thursday 2020w1 2020m1 2020 | 710. | 710 03jan2020 837 Friday 2020w1 2020m1 2020 | 711. | 711 04jan2020 637 Saturday 2020w1 2020m1 2020 | 712. | 712 05jan2020 777 Sunday 2020w1 2020m1 2020 | |-----------------------------------------------------------------| 713. | 713 06jan2020 959 Monday 2020w1 2020m1 2020 | 714. | 714 07jan2020 871 Tuesday 2020w1 2020m1 2020 | 715. | 715 08jan2020 860 Wednesday 2020w2 2020m1 2020 | 716. | 716 09jan2020 733 Thursday 2020w2 2020m1 2020 | 717. | 717 10jan2020 745 Friday 2020w2 2020m1 2020 | |-----------------------------------------------------------------| 718. | 718 11jan2020 743 Saturday 2020w2 2020m1 2020 | 719. | 719 12jan2020 689 Sunday 2020w2 2020m1 2020 | 720. | 720 13jan2020 754 Monday 2020w2 2020m1 2020 | 721. | 721 14jan2020 871 Tuesday 2020w2 2020m1 2020 | 722. | 722 15jan2020 979 Wednesday 2020w3 2020m1 2020 | |-----------------------------------------------------------------| 723. | 723 16jan2020 972 Thursday 2020w3 2020m1 2020 | 724. | 724 17jan2020 1063 Friday 2020w3 2020m1 2020 | 725. | 725 18jan2020 823 Saturday 2020w3 2020m1 2020 | 726. | 726 19jan2020 1192 Sunday 2020w3 2020m1 2020 | 727. | 727 20jan2020 1136 Monday 2020w3 2020m1 2020 | |-----------------------------------------------------------------| 728. | 728 21jan2020 1082 Tuesday 2020w3 2020m1 2020 | 729. | 729 22jan2020 863 Wednesday 2020w4 2020m1 2020 | 730. | 730 23jan2020 1050 Thursday 2020w4 2020m1 2020 | 731. | 731 24jan2020 1061 Friday 2020w4 2020m1 2020 | 732. | 732 25jan2020 1043 Saturday 2020w4 2020m1 2020 | |-----------------------------------------------------------------| 733. | 733 26jan2020 715 Sunday 2020w4 2020m1 2020 | 734. | 734 27jan2020 961 Monday 2020w4 2020m1 2020 | 735. | 735 28jan2020 953 Tuesday 2020w4 2020m1 2020 | 736. | 736 29jan2020 1051 Wednesday 2020w5 2020m1 2020 | 737. | 737 30jan2020 1125 Thursday 2020w5 2020m1 2020 | |-----------------------------------------------------------------| 738. | 738 31jan2020 1072 Friday 2020w5 2020m1 2020 | 739. | 739 01feb2020 705 Saturday 2020w5 2020m2 2020 | 740. | 740 02feb2020 836 Sunday 2020w5 2020m2 2020 | 741. | 741 03feb2020 908 Monday 2020w5 2020m2 2020 | 742. | 742 04feb2020 1059 Tuesday 2020w5 2020m2 2020 | |-----------------------------------------------------------------| 743. | 743 05feb2020 873 Wednesday 2020w6 2020m2 2020 | 744. | 744 06feb2020 932 Thursday 2020w6 2020m2 2020 | 745. | 745 07feb2020 800 Friday 2020w6 2020m2 2020 | 746. | 746 08feb2020 763 Saturday 2020w6 2020m2 2020 | 747. | 747 09feb2020 724 Sunday 2020w6 2020m2 2020 | |-----------------------------------------------------------------| 748. | 748 10feb2020 812 Monday 2020w6 2020m2 2020 | 749. | 749 11feb2020 669 Tuesday 2020w6 2020m2 2020 | 750. | 750 12feb2020 596 Wednesday 2020w7 2020m2 2020 | 751. | 751 13feb2020 1047 Thursday 2020w7 2020m2 2020 | 752. | 752 14feb2020 1041 Friday 2020w7 2020m2 2020 | |-----------------------------------------------------------------| 753. | 753 15feb2020 890 Saturday 2020w7 2020m2 2020 | 754. | 754 16feb2020 790 Sunday 2020w7 2020m2 2020 | 755. | 755 17feb2020 1364 Monday 2020w7 2020m2 2020 | 756. | 756 18feb2020 1195 Tuesday 2020w7 2020m2 2020 | 757. | 757 19feb2020 1004 Wednesday 2020w8 2020m2 2020 | |-----------------------------------------------------------------| 758. | 758 20feb2020 782 Thursday 2020w8 2020m2 2020 | 759. | 759 21feb2020 1050 Friday 2020w8 2020m2 2020 | 760. | 760 22feb2020 729 Saturday 2020w8 2020m2 2020 | 761. | 761 23feb2020 724 Sunday 2020w8 2020m2 2020 | 762. | 762 24feb2020 1037 Monday 2020w8 2020m2 2020 | |-----------------------------------------------------------------| 763. | 763 25feb2020 988 Tuesday 2020w8 2020m2 2020 | 764. | 764 26feb2020 857 Wednesday 2020w9 2020m2 2020 | 765. | 765 27feb2020 960 Thursday 2020w9 2020m2 2020 | 766. | 766 28feb2020 678 Friday 2020w9 2020m2 2020 | 767. | 767 29feb2020 662 Saturday 2020w9 2020m2 2020 | |-----------------------------------------------------------------| 768. | 768 01mar2020 651 Sunday 2020w9 2020m3 2020 | 769. | 769 02mar2020 755 Monday 2020w9 2020m3 2020 | 770. | 770 03mar2020 674 Tuesday 2020w9 2020m3 2020 | 771. | 771 04mar2020 572 Wednesday 2020w10 2020m3 2020 | 772. | 772 05mar2020 727 Thursday 2020w10 2020m3 2020 | |-----------------------------------------------------------------| 773. | 773 06mar2020 622 Friday 2020w10 2020m3 2020 | 774. | 774 07mar2020 697 Saturday 2020w10 2020m3 2020 | 775. | 775 08mar2020 670 Sunday 2020w10 2020m3 2020 | 776. | 776 09mar2020 634 Monday 2020w10 2020m3 2020 | 777. | 777 10mar2020 700 Tuesday 2020w10 2020m3 2020 | |-----------------------------------------------------------------| 778. | 778 11mar2020 800 Wednesday 2020w11 2020m3 2020 | 779. | 779 12mar2020 790 Thursday 2020w11 2020m3 2020 | 780. | 780 13mar2020 748 Friday 2020w11 2020m3 2020 | 781. | 781 14mar2020 562 Saturday 2020w11 2020m3 2020 | 782. | 782 15mar2020 528 Sunday 2020w11 2020m3 2020 | |-----------------------------------------------------------------| 783. | 783 16mar2020 888 Monday 2020w11 2020m3 2020 | 784. | 784 17mar2020 793 Tuesday 2020w11 2020m3 2020 | 785. | 785 18mar2020 1090 Wednesday 2020w12 2020m3 2020 | 786. | 786 19mar2020 867 Thursday 2020w12 2020m3 2020 | 787. | 787 20mar2020 999 Friday 2020w12 2020m3 2020 | |-----------------------------------------------------------------| 788. | 788 21mar2020 628 Saturday 2020w12 2020m3 2020 | 789. | 789 22mar2020 549 Sunday 2020w12 2020m3 2020 | 790. | 790 23mar2020 683 Monday 2020w12 2020m3 2020 | 791. | 791 24mar2020 787 Tuesday 2020w12 2020m3 2020 | 792. | 792 25mar2020 786 Wednesday 2020w13 2020m3 2020 | |-----------------------------------------------------------------| 793. | 793 26mar2020 855 Thursday 2020w13 2020m3 2020 | 794. | 794 27mar2020 934 Friday 2020w13 2020m3 2020 | 795. | 795 28mar2020 658 Saturday 2020w13 2020m3 2020 | 796. | 796 29mar2020 452 Sunday 2020w13 2020m3 2020 | 797. | 797 30mar2020 909 Monday 2020w13 2020m3 2020 | |-----------------------------------------------------------------| 798. | 798 31mar2020 798 Tuesday 2020w13 2020m3 2020 | 799. | 799 01apr2020 858 Wednesday 2020w14 2020m4 2020 | 800. | 800 02apr2020 1062 Thursday 2020w14 2020m4 2020 | 801. | 801 03apr2020 805 Friday 2020w14 2020m4 2020 | 802. | 802 04apr2020 943 Saturday 2020w14 2020m4 2020 | |-----------------------------------------------------------------| 803. | 803 05apr2020 661 Sunday 2020w14 2020m4 2020 | 804. | 804 06apr2020 846 Monday 2020w14 2020m4 2020 | 805. | 805 07apr2020 886 Tuesday 2020w14 2020m4 2020 | 806. | 806 08apr2020 875 Wednesday 2020w15 2020m4 2020 | 807. | 807 09apr2020 687 Thursday 2020w15 2020m4 2020 | |-----------------------------------------------------------------| 808. | 808 10apr2020 758 Friday 2020w15 2020m4 2020 | 809. | 809 11apr2020 615 Saturday 2020w15 2020m4 2020 | 810. | 810 12apr2020 660 Sunday 2020w15 2020m4 2020 | 811. | 811 13apr2020 592 Monday 2020w15 2020m4 2020 | 812. | 812 14apr2020 907 Tuesday 2020w15 2020m4 2020 | |-----------------------------------------------------------------| 813. | 813 15apr2020 734 Wednesday 2020w16 2020m4 2020 | 814. | 814 16apr2020 763 Thursday 2020w16 2020m4 2020 | 815. | 815 17apr2020 827 Friday 2020w16 2020m4 2020 | 816. | 816 18apr2020 752 Saturday 2020w16 2020m4 2020 | 817. | 817 19apr2020 627 Sunday 2020w16 2020m4 2020 | |-----------------------------------------------------------------| 818. | 818 20apr2020 626 Monday 2020w16 2020m4 2020 | 819. | 819 21apr2020 723 Tuesday 2020w16 2020m4 2020 | 820. | 820 22apr2020 700 Wednesday 2020w17 2020m4 2020 | 821. | 821 23apr2020 687 Thursday 2020w17 2020m4 2020 | 822. | 822 24apr2020 706 Friday 2020w17 2020m4 2020 | |-----------------------------------------------------------------| 823. | 823 25apr2020 639 Saturday 2020w17 2020m4 2020 | 824. | 824 26apr2020 663 Sunday 2020w17 2020m4 2020 | 825. | 825 27apr2020 654 Monday 2020w17 2020m4 2020 | 826. | 826 28apr2020 490 Tuesday 2020w17 2020m4 2020 | 827. | 827 29apr2020 795 Wednesday 2020w18 2020m4 2020 | |-----------------------------------------------------------------| 828. | 828 30apr2020 983 Thursday 2020w18 2020m4 2020 | 829. | 829 01may2020 1099 Friday 2020w18 2020m5 2020 | 830. | 830 02may2020 745 Saturday 2020w18 2020m5 2020 | 831. | 831 03may2020 716 Sunday 2020w18 2020m5 2020 | 832. | 832 04may2020 659 Monday 2020w18 2020m5 2020 | |-----------------------------------------------------------------| 833. | 833 05may2020 702 Tuesday 2020w18 2020m5 2020 | 834. | 834 06may2020 707 Wednesday 2020w19 2020m5 2020 | 835. | 835 07may2020 852 Thursday 2020w19 2020m5 2020 | 836. | 836 08may2020 33 Friday 2020w19 2020m5 2020 | +-----------------------------------------------------------------+
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tranthidung (OP)
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May 11, 2020, 08:05:04 AM Last edit: May 20, 2020, 02:53:44 AM by tranthidung |
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Time-series plots:Full dataset:Truncated dataset: Basic statistics (for full dataset): Only drop last 3 days that belong to the 2020w19 (daydi = 834, 835), the incomplete week & incomlete day (dayid = 836). variable | N mean sd p50 p25 p75 min max -------------+-------------------------------------------------------------------------------- merit | 833 792.1633 652.3177 669 560 823 300 12676 ----------------------------------------------------------------------------------------------
Applied formulas in previous weeks, potential outliers are days have intra-day merits beyond 166 or 1218. . di 823-560 263
. di 263*1.5 394.5
. di 823+394.5 1217.5
. di 560-394.5 165.5
There are 55 outliers (beyond 1218 or 166) in full dataset, in total. . count if (merit >= 1218 | merit <= 166) & merit != . 55
Those days are: +---------------------------+ | dayid merit date | |---------------------------| 2. | 2 12676 25jan2018 | 3. | 3 6348 26jan2018 | 4. | 4 4627 27jan2018 | 5. | 5 3240 28jan2018 | 6. | 6 3343 29jan2018 | 7. | 7 3804 30jan2018 | 8. | 8 4103 31jan2018 | 9. | 9 2793 01feb2018 | 10. | 10 2621 02feb2018 | 11. | 11 2476 03feb2018 | 12. | 12 1790 04feb2018 | 13. | 13 2263 05feb2018 | 14. | 14 2003 06feb2018 | 15. | 15 2367 07feb2018 | 16. | 16 2059 08feb2018 | 17. | 17 2223 09feb2018 | 18. | 18 1334 10feb2018 | 19. | 19 1793 11feb2018 | 20. | 20 1475 12feb2018 | 21. | 21 1289 13feb2018 | 22. | 22 1580 14feb2018 | 23. | 23 2797 15feb2018 | 24. | 24 1740 16feb2018 | 25. | 25 1431 17feb2018 | 26. | 26 1589 18feb2018 | 27. | 27 1289 19feb2018 | 28. | 28 1442 20feb2018 | 30. | 30 1277 22feb2018 | 31. | 31 1249 23feb2018 | 33. | 33 1372 25feb2018 | 35. | 35 1414 27feb2018 | 36. | 36 1302 28feb2018 | 38. | 38 1345 02mar2018 | 39. | 39 1727 03mar2018 | 49. | 49 1316 13mar2018 | 51. | 51 1224 15mar2018 | 57. | 57 1390 21mar2018 | 237. | 237 2553 17sep2018 | 238. | 238 1807 18sep2018 | 239. | 239 1347 19sep2018 | 240. | 240 1221 20sep2018 | |---------------------------| 429. | 429 1247 28mar2019 | 505. | 505 1227 12jun2019 | 660. | 660 1630 14nov2019 | 661. | 661 2374 15nov2019 | 662. | 662 1585 16nov2019 | 663. | 663 1377 17nov2019 | 664. | 664 2783 18nov2019 | 665. | 665 3826 19nov2019 | 666. | 666 2584 20nov2019 | 667. | 667 4889 21nov2019 | 668. | 668 5515 22nov2019 | 669. | 669 1590 23nov2019 | 678. | 678 1465 02dec2019 | |---------------------------| 755. | 755 1364 17feb2020 | +---------------------------+
Distributions of outliers over years:- 2018: 41 (74.6%)
- 2019: 13 (23.6%)
- 2020: 1 (1.8%)
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May 11, 2020, 08:06:33 AM Last edit: May 20, 2020, 02:58:57 AM by tranthidung |
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During the period from 24/1/2018 to 05/5/2020 (last 3 days dropped due to incomplete week, 2020w19 and an incomplete day - dayid = 836), the minimum and maximum of intra-day merit are 300 and 12676, on 04/8/2019 and 25/1/2018, respectively. List of the top 50-highest day in terms of intra-day merits: +-----------------------------------------------------------------------------+ | rank_max merit dayid date dofw week month year | |-----------------------------------------------------------------------------| 1. | 1 12676 2 25jan2018 Thursday 2018w4 2018m1 2018 | 2. | 2 6348 3 26jan2018 Friday 2018w4 2018m1 2018 | 3. | 3 5515 668 22nov2019 Friday 2019w47 2019m11 2019 | 4. | 4 4889 667 21nov2019 Thursday 2019w47 2019m11 2019 | 5. | 5 4627 4 27jan2018 Saturday 2018w4 2018m1 2018 | |-----------------------------------------------------------------------------| 6. | 6 4103 8 31jan2018 Wednesday 2018w5 2018m1 2018 | 7. | 7 3826 665 19nov2019 Tuesday 2019w47 2019m11 2019 | 8. | 8 3804 7 30jan2018 Tuesday 2018w5 2018m1 2018 | 9. | 9 3343 6 29jan2018 Monday 2018w5 2018m1 2018 | 10. | 10 3240 5 28jan2018 Sunday 2018w4 2018m1 2018 | |-----------------------------------------------------------------------------| 11. | 11 2797 23 15feb2018 Thursday 2018w7 2018m2 2018 | 12. | 12 2793 9 01feb2018 Thursday 2018w5 2018m2 2018 | 13. | 13 2783 664 18nov2019 Monday 2019w46 2019m11 2019 | 14. | 14 2621 10 02feb2018 Friday 2018w5 2018m2 2018 | 15. | 15 2584 666 20nov2019 Wednesday 2019w47 2019m11 2019 | |-----------------------------------------------------------------------------| 16. | 16 2553 237 17sep2018 Monday 2018w38 2018m9 2018 | 17. | 17 2476 11 03feb2018 Saturday 2018w5 2018m2 2018 | 18. | 18 2374 661 15nov2019 Friday 2019w46 2019m11 2019 | 19. | 19 2367 15 07feb2018 Wednesday 2018w6 2018m2 2018 | 20. | 20 2263 13 05feb2018 Monday 2018w6 2018m2 2018 | |-----------------------------------------------------------------------------| 21. | 21 2223 17 09feb2018 Friday 2018w6 2018m2 2018 | 22. | 22 2059 16 08feb2018 Thursday 2018w6 2018m2 2018 | 23. | 23 2003 14 06feb2018 Tuesday 2018w6 2018m2 2018 | 24. | 24 1807 238 18sep2018 Tuesday 2018w38 2018m9 2018 | 25. | 25 1793 19 11feb2018 Sunday 2018w6 2018m2 2018 | |-----------------------------------------------------------------------------| 26. | 26 1790 12 04feb2018 Sunday 2018w5 2018m2 2018 | 27. | 27 1740 24 16feb2018 Friday 2018w7 2018m2 2018 | 28. | 28 1727 39 03mar2018 Saturday 2018w9 2018m3 2018 | 29. | 29 1630 660 14nov2019 Thursday 2019w46 2019m11 2019 | 30. | 30 1590 669 23nov2019 Saturday 2019w47 2019m11 2019 | |-----------------------------------------------------------------------------| 31. | 31 1589 26 18feb2018 Sunday 2018w7 2018m2 2018 | 32. | 32 1585 662 16nov2019 Saturday 2019w46 2019m11 2019 | 33. | 33 1580 22 14feb2018 Wednesday 2018w7 2018m2 2018 | 34. | 34 1475 20 12feb2018 Monday 2018w7 2018m2 2018 | 35. | 35 1465 678 02dec2019 Monday 2019w48 2019m12 2019 | |-----------------------------------------------------------------------------| 36. | 36 1442 28 20feb2018 Tuesday 2018w8 2018m2 2018 | 37. | 37 1431 25 17feb2018 Saturday 2018w7 2018m2 2018 | 38. | 38 1414 35 27feb2018 Tuesday 2018w9 2018m2 2018 | 39. | 39 1390 57 21mar2018 Wednesday 2018w12 2018m3 2018 | 40. | 40 1377 663 17nov2019 Sunday 2019w46 2019m11 2019 | |-----------------------------------------------------------------------------| 41. | 41 1372 33 25feb2018 Sunday 2018w8 2018m2 2018 | 42. | 42 1364 755 17feb2020 Monday 2020w7 2020m2 2020 | 43. | 43 1347 239 19sep2018 Wednesday 2018w38 2018m9 2018 | 44. | 44 1345 38 02mar2018 Friday 2018w9 2018m3 2018 | 45. | 45 1334 18 10feb2018 Saturday 2018w6 2018m2 2018 | |-----------------------------------------------------------------------------| 46. | 46 1316 49 13mar2018 Tuesday 2018w11 2018m3 2018 | 47. | 47 1302 36 28feb2018 Wednesday 2018w9 2018m2 2018 | 48. | 48 1289 21 13feb2018 Tuesday 2018w7 2018m2 2018 | 49. | 49 1289 27 19feb2018 Monday 2018w8 2018m2 2018 | 50. | 50 1277 30 22feb2018 Thursday 2018w8 2018m2 2018 | +-----------------------------------------------------------------------------+
List of the top 50-lowest days in terms of intra-day merits: +-----------------------------------------------------------------------------+ | rank_min merit dayid date dofw week month year | |-----------------------------------------------------------------------------| 1. | 1 300 558 04aug2019 Sunday 2019w31 2019m8 2019 | 2. | 2 333 341 30dec2018 Sunday 2018w52 2018m12 2018 | 3. | 3 339 343 01jan2019 Tuesday 2019w1 2019m1 2019 | 4. | 4 347 330 19dec2018 Wednesday 2018w51 2018m12 2018 | 5. | 5 347 299 18nov2018 Sunday 2018w46 2018m11 2018 | |-----------------------------------------------------------------------------| 6. | 6 351 334 23dec2018 Sunday 2018w51 2018m12 2018 | 7. | 7 366 218 29aug2018 Wednesday 2018w35 2018m8 2018 | 8. | 8 367 565 11aug2019 Sunday 2019w32 2019m8 2019 | 9. | 9 370 223 03sep2018 Monday 2018w36 2018m9 2018 | 10. | 10 373 339 28dec2018 Friday 2018w52 2018m12 2018 | |-----------------------------------------------------------------------------| 11. | 11 375 340 29dec2018 Saturday 2018w52 2018m12 2018 | 12. | 12 377 600 15sep2019 Sunday 2019w37 2019m9 2019 | 13. | 13 378 567 13aug2019 Tuesday 2019w33 2019m8 2019 | 14. | 14 378 305 24nov2018 Saturday 2018w47 2018m11 2018 | 15. | 15 378 566 12aug2019 Monday 2019w32 2019m8 2019 | |-----------------------------------------------------------------------------| 16. | 16 380 192 03aug2018 Friday 2018w31 2018m8 2018 | 17. | 17 381 336 25dec2018 Tuesday 2018w52 2018m12 2018 | 18. | 18 385 215 26aug2018 Sunday 2018w34 2018m8 2018 | 19. | 19 385 327 16dec2018 Sunday 2018w50 2018m12 2018 | 20. | 20 391 221 01sep2018 Saturday 2018w35 2018m9 2018 | |-----------------------------------------------------------------------------| 21. | 21 394 188 30jul2018 Monday 2018w31 2018m7 2018 | 22. | 22 399 593 08sep2019 Sunday 2019w36 2019m9 2019 | 23. | 23 401 288 07nov2018 Wednesday 2018w45 2018m11 2018 | 24. | 24 401 557 03aug2019 Saturday 2019w31 2019m8 2019 | 25. | 25 402 263 13oct2018 Saturday 2018w41 2018m10 2018 | |-----------------------------------------------------------------------------| 26. | 26 404 229 09sep2018 Sunday 2018w36 2018m9 2018 | 27. | 27 406 277 27oct2018 Saturday 2018w43 2018m10 2018 | 28. | 28 408 530 07jul2019 Sunday 2019w27 2019m7 2019 | 29. | 29 409 589 04sep2019 Wednesday 2019w36 2019m9 2019 | 30. | 30 409 123 26may2018 Saturday 2018w21 2018m5 2018 | |-----------------------------------------------------------------------------| 31. | 31 410 279 29oct2018 Monday 2018w44 2018m10 2018 | 32. | 32 411 569 15aug2019 Thursday 2019w33 2019m8 2019 | 33. | 33 411 578 24aug2019 Saturday 2019w34 2019m8 2019 | 34. | 34 414 528 05jul2019 Friday 2019w27 2019m7 2019 | 35. | 35 421 193 04aug2018 Saturday 2018w31 2018m8 2018 | |-----------------------------------------------------------------------------| 36. | 36 425 588 03sep2019 Tuesday 2019w36 2019m9 2019 | 37. | 37 426 346 04jan2019 Friday 2019w1 2019m1 2019 | 38. | 38 426 230 10sep2018 Monday 2018w37 2018m9 2018 | 39. | 39 427 141 13jun2018 Wednesday 2018w24 2018m6 2018 | 40. | 40 430 207 18aug2018 Saturday 2018w33 2018m8 2018 | |-----------------------------------------------------------------------------| 41. | 41 432 587 02sep2019 Monday 2019w35 2019m9 2019 | 42. | 42 435 522 29jun2019 Saturday 2019w26 2019m6 2019 | 43. | 43 436 419 18mar2019 Monday 2019w11 2019m3 2019 | 44. | 44 440 585 31aug2019 Saturday 2019w35 2019m8 2019 | 45. | 45 440 559 05aug2019 Monday 2019w31 2019m8 2019 | |-----------------------------------------------------------------------------| 46. | 46 440 265 15oct2018 Monday 2018w42 2018m10 2018 | 47. | 47 441 404 03mar2019 Sunday 2019w9 2019m3 2019 | 48. | 48 441 319 08dec2018 Saturday 2018w49 2018m12 2018 | 49. | 49 442 342 31dec2018 Monday 2018w52 2018m12 2018 | 50. | 50 442 278 28oct2018 Sunday 2018w43 2018m10 2018 | +-----------------------------------------------------------------------------+
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tranthidung (OP)
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Merit: 4010
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May 11, 2020, 08:10:24 AM |
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Medians and means of intra-day merits over days of weeks GMT timeColors: - Green: highest.
- Red: Lowest.
- In median, the highest days are Thursday , Friday, and Tuesday at 708, 705, and 705, respectively; whislt the lowest days are Saturday, Sunday, and Monday at 614, 627, and 659, respectively. - In means, the highest days are Thursday, Friday, and Tuesday at 912, 855, and 812, respectively; whilst the lowest days are Sunday, Saturday, and Monday, at 693, 709, and 779, respectively. Basic statistics:Summary for variables: merit by categories of: dofw
dofw | N mean sd p50 p25 p75 min max ----------+-------------------------------------------------------------------------------- Sunday | 119.0 692.8 354.2 627.0 503.0 739.0 300.0 3240.0 Monday | 119.0 778.5 436.5 659.0 562.0 859.0 370.0 3343.0 Tuesday | 119.0 812.1 476.3 705.0 594.0 871.0 339.0 3826.0 Wednesday | 119.0 786.6 434.0 675.0 603.0 837.0 347.0 4103.0 Thursday | 119.0 911.5 1205.7 708.0 586.0 845.0 411.0 12676.0 Friday | 119.0 854.8 750.9 705.0 566.0 858.0 373.0 6348.0 Saturday | 119.0 709.0 464.4 614.0 509.0 741.0 375.0 4627.0 ----------+-------------------------------------------------------------------------------- Total | 833.0 792.2 652.3 669.0 560.0 823.0 300.0 12676.0 -------------------------------------------------------------------------------------------
Box plotsOutliers non-displayed. Since this week, I have stopped to give you box plot with outliers, and changed box colors for days of week. I hope you like the color changes.Details on ranks:In medians +----------------------------------------------------------------------+ | rankmedian dofw median mean p25 p75 min max | |----------------------------------------------------------------------| 1. | 1 Thursday 708 911.4706 586 845 411 12676 | 2. | 2 Friday 705 854.8235 566 858 373 6348 | 3. | 3 Tuesday 705 812.0756 594 871 339 3826 | 4. | 4 Wednesday 675 786.563 603 837 347 4103 | 5. | 5 Monday 659 778.4706 562 859 370 3343 | |----------------------------------------------------------------------| 6. | 6 Sunday 627 692.7731 503 739 300 3240 | 7. | 7 Saturday 614 708.9664 509 741 375 4627 | +----------------------------------------------------------------------+
In means +--------------------------------------------------------------------+ | rankmean dofw mean median p25 p75 min max | |--------------------------------------------------------------------| 1. | 1 Thursday 911.4706 708 586 845 411 12676 | 2. | 2 Friday 854.8235 705 566 858 373 6348 | 3. | 3 Tuesday 812.0756 705 594 871 339 3826 | 4. | 4 Wednesday 786.563 675 603 837 347 4103 | 5. | 5 Monday 778.4706 659 562 859 370 3343 | |--------------------------------------------------------------------| 6. | 6 Saturday 708.9664 614 509 741 375 4627 | 7. | 7 Sunday 692.7731 627 503 739 300 3240 | +--------------------------------------------------------------------+
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tranthidung (OP)
Legendary
Offline
Activity: 2268
Merit: 4010
Farewell o_e_l_e_o
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May 11, 2020, 08:15:03 AM |
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Intra-week merits (from 24/1/2018 to 05/5/2020)Last 3 days dropped due to incomplete week (2020w19) and an incomplete day (dayid = 836)Converted dataset: +-----------------+ | merit week | |-----------------| 1. | 27920 2018w4 | 2. | 20930 2018w5 | 3. | 14042 2018w6 | 4. | 11901 2018w7 | 5. | 8879 2018w8 | |-----------------| 6. | 9005 2018w9 | 7. | 7178 2018w10 | 8. | 7340 2018w11 | 9. | 7138 2018w12 | 10. | 6392 2018w13 | |-----------------| 11. | 6542 2018w14 | 12. | 5946 2018w15 | 13. | 4449 2018w16 | 14. | 4820 2018w17 | 15. | 5043 2018w18 | |-----------------| 16. | 4685 2018w19 | 17. | 4431 2018w20 | 18. | 3903 2018w21 | 19. | 4248 2018w22 | 20. | 4473 2018w23 | |-----------------| 21. | 3953 2018w24 | 22. | 4574 2018w25 | 23. | 4684 2018w26 | 24. | 4367 2018w27 | 25. | 4109 2018w28 | |-----------------| 26. | 4277 2018w29 | 27. | 3809 2018w30 | 28. | 3489 2018w31 | 29. | 4199 2018w32 | 30. | 3767 2018w33 | |-----------------| 31. | 3763 2018w34 | 32. | 3186 2018w35 | 33. | 3536 2018w36 | 34. | 3586 2018w37 | 35. | 9587 2018w38 | |-----------------| 36. | 4508 2018w39 | 37. | 4325 2018w40 | 38. | 3981 2018w41 | 39. | 4424 2018w42 | 40. | 4386 2018w43 | |-----------------| 41. | 3321 2018w44 | 42. | 4175 2018w45 | 43. | 4047 2018w46 | 44. | 4606 2018w47 | 45. | 3791 2018w48 | |-----------------| 46. | 3596 2018w49 | 47. | 3689 2018w50 | 48. | 3615 2018w51 | 49. | 3687 2018w52 | 50. | 4584 2019w1 | |-----------------| 51. | 6102 2019w2 | 52. | 5776 2019w3 | 53. | 4582 2019w4 | 54. | 4408 2019w5 | 55. | 4505 2019w6 | |-----------------| 56. | 4259 2019w7 | 57. | 4314 2019w8 | 58. | 4726 2019w9 | 59. | 4979 2019w10 | 60. | 4295 2019w11 | |-----------------| 61. | 4690 2019w12 | 62. | 5728 2019w13 | 63. | 4695 2019w14 | 64. | 5253 2019w15 | 65. | 4880 2019w16 | |-----------------| 66. | 4260 2019w17 | 67. | 4817 2019w18 | 68. | 5002 2019w19 | 69. | 5596 2019w20 | 70. | 4693 2019w21 | |-----------------| 71. | 4342 2019w22 | 72. | 4597 2019w23 | 73. | 5373 2019w24 | 74. | 4629 2019w25 | 75. | 4672 2019w26 | |-----------------| 76. | 3882 2019w27 | 77. | 4462 2019w28 | 78. | 4005 2019w29 | 79. | 4377 2019w30 | 80. | 3603 2019w31 | |-----------------| 81. | 3346 2019w32 | 82. | 3965 2019w33 | 83. | 3811 2019w34 | 84. | 3579 2019w35 | 85. | 3683 2019w36 | |-----------------| 86. | 4005 2019w37 | 87. | 4382 2019w38 | 88. | 4348 2019w39 | 89. | 4209 2019w40 | 90. | 4701 2019w41 | |-----------------| 91. | 5160 2019w42 | 92. | 5375 2019w43 | 93. | 4816 2019w44 | 94. | 4753 2019w45 | 95. | 11070 2019w46 | |-----------------| 96. | 20397 2019w47 | 97. | 6271 2019w48 | 98. | 4650 2019w49 | 99. | 4832 2019w50 | 100. | 6066 2019w51 | |-----------------| 101. | 7058 2019w52 | 102. | 5745 2020w1 | 103. | 5395 2020w2 | 104. | 7247 2020w3 | 105. | 6646 2020w4 | |-----------------| 106. | 6756 2020w5 | 107. | 5573 2020w6 | 108. | 6923 2020w7 | 109. | 6314 2020w8 | 110. | 5237 2020w9 | |-----------------| 111. | 4622 2020w10 | 112. | 5109 2020w11 | 113. | 5603 2020w12 | 114. | 5392 2020w13 | 115. | 6061 2020w14 | |-----------------| 116. | 5094 2020w15 | 117. | 5052 2020w16 | 118. | 4539 2020w17 | 119. | 5699 2020w18 | +-----------------+
Time series plotBasic statistics:- 50% of observed weeks ( 119 weeks) have total intra-week merits above 4650, whilst the rest 50% of them have total intra-week merits below 4650. 4650 is the median - p50. - 50% of observed weeks have total intra-week merits fluctuated in the range from 4209 to 5603 (the interquartile range, from p25 to p75, in raw statistics below). - Min - max: 3186 - 27920. variable | N mean sd p50 p25 p75 min max -------------+-------------------------------------------------------------------------------- merit | 119.0 5545.1 3327.4 4650.0 4209.0 5603.0 3186.0 27920.0 ----------------------------------------------------------------------------------------------
Potential outliers:. di 5603-4209 1394
. di 1394*1.5 2091
. di 5603+2091 7694
. di 4209-2091 2118
It means that potential outliers are weeks that have intra-week merits beyond 2118 or 7694. How many weeks are potential outliers? . count if (merit >= 7694 | merit < 2118) & merit != . 9
9 weeks are outliers, in total. List of those 9 weeks: +-----------------+ | merit week | |-----------------| 1. | 27920 2018w4 | 2. | 20930 2018w5 | 3. | 14042 2018w6 | 4. | 11901 2018w7 | 5. | 8879 2018w8 | |-----------------| 6. | 9005 2018w9 | 35. | 9587 2018w38 | 95. | 11070 2019w46 | 96. | 20397 2019w47 | +-----------------+
Most of them occured in the year 2018, and there is only 2 outliers week occured in 2019, in 2019w46 (11070), 2019w47 (20397). None of them occured in 2020 so far. List of weeks in descending weekly meritsThe last week (with 5699 merits) stays at the 29th position, among 119 weeks. +------------------------------+ | weeklyrank merit week | |------------------------------| 1. | 1 27920 2018w4 | 2. | 2 20930 2018w5 | 3. | 3 20397 2019w47 | 4. | 4 14042 2018w6 | 5. | 5 11901 2018w7 | |------------------------------| 6. | 6 11070 2019w46 | 7. | 7 9587 2018w38 | 8. | 8 9005 2018w9 | 9. | 9 8879 2018w8 | 10. | 10 7340 2018w11 | |------------------------------| 11. | 11 7247 2020w3 | 12. | 12 7178 2018w10 | 13. | 13 7138 2018w12 | 14. | 14 7058 2019w52 | 15. | 15 6923 2020w7 | |------------------------------| 16. | 16 6756 2020w5 | 17. | 17 6646 2020w4 | 18. | 18 6542 2018w14 | 19. | 19 6392 2018w13 | 20. | 20 6314 2020w8 | |------------------------------| 21. | 21 6271 2019w48 | 22. | 22 6102 2019w2 | 23. | 23 6066 2019w51 | 24. | 24 6061 2020w14 | 25. | 25 5946 2018w15 | |------------------------------| 26. | 26 5776 2019w3 | 27. | 27 5745 2020w1 | 28. | 28 5728 2019w13 | 29. | 29 5699 2020w18 | 30. | 30 5603 2020w12 | |------------------------------| 31. | 31 5596 2019w20 | 32. | 32 5573 2020w6 | 33. | 33 5395 2020w2 | 34. | 34 5392 2020w13 | 35. | 35 5375 2019w43 | |------------------------------| 36. | 36 5373 2019w24 | 37. | 37 5253 2019w15 | 38. | 38 5237 2020w9 | 39. | 39 5160 2019w42 | 40. | 40 5109 2020w11 | |------------------------------| 41. | 41 5094 2020w15 | 42. | 42 5052 2020w16 | 43. | 43 5043 2018w18 | 44. | 44 5002 2019w19 | 45. | 45 4979 2019w10 | |------------------------------| 46. | 46 4880 2019w16 | 47. | 47 4832 2019w50 | 48. | 48 4820 2018w17 | 49. | 49 4817 2019w18 | 50. | 50 4816 2019w44 | |------------------------------| 51. | 51 4753 2019w45 | 52. | 52 4726 2019w9 | 53. | 53 4701 2019w41 | 54. | 54 4695 2019w14 | 55. | 55 4693 2019w21 | |------------------------------| 56. | 56 4690 2019w12 | 57. | 57 4685 2018w19 | 58. | 58 4684 2018w26 | 59. | 59 4672 2019w26 | 60. | 60 4650 2019w49 | |------------------------------| 61. | 61 4629 2019w25 | 62. | 62 4622 2020w10 | 63. | 63 4606 2018w47 | 64. | 64 4597 2019w23 | 65. | 65 4584 2019w1 | |------------------------------| 66. | 66 4582 2019w4 | 67. | 67 4574 2018w25 | 68. | 68 4539 2020w17 | 69. | 69 4508 2018w39 | 70. | 70 4505 2019w6 | |------------------------------| 71. | 71 4473 2018w23 | 72. | 72 4462 2019w28 | 73. | 73 4449 2018w16 | 74. | 74 4431 2018w20 | 75. | 75 4424 2018w42 | |------------------------------| 76. | 76 4408 2019w5 | 77. | 77 4386 2018w43 | 78. | 78 4382 2019w38 | 79. | 79 4377 2019w30 | 80. | 80 4367 2018w27 | |------------------------------| 81. | 81 4348 2019w39 | 82. | 82 4342 2019w22 | 83. | 83 4325 2018w40 | 84. | 84 4314 2019w8 | 85. | 85 4295 2019w11 | |------------------------------| 86. | 86 4277 2018w29 | 87. | 87 4260 2019w17 | 88. | 88 4259 2019w7 | 89. | 89 4248 2018w22 | 90. | 90 4209 2019w40 | |------------------------------| 91. | 91 4199 2018w32 | 92. | 92 4175 2018w45 | 93. | 93 4109 2018w28 | 94. | 94 4047 2018w46 | 95. | 95 4005 2019w37 | |------------------------------| 96. | 96 4005 2019w29 | 97. | 97 3981 2018w41 | 98. | 98 3965 2019w33 | 99. | 99 3953 2018w24 | 100. | 100 3903 2018w21 | |------------------------------| 101. | 101 3882 2019w27 | 102. | 102 3811 2019w34 | 103. | 103 3809 2018w30 | 104. | 104 3791 2018w48 | 105. | 105 3767 2018w33 | |------------------------------| 106. | 106 3763 2018w34 | 107. | 107 3689 2018w50 | 108. | 108 3687 2018w52 | 109. | 109 3683 2019w36 | 110. | 110 3615 2018w51 | |------------------------------| 111. | 111 3603 2019w31 | 112. | 112 3596 2018w49 | 113. | 113 3586 2018w37 | 114. | 114 3579 2019w35 | 115. | 115 3536 2018w36 | |------------------------------| 116. | 116 3489 2018w31 | 117. | 117 3346 2019w32 | 118. | 118 3321 2018w44 | 119. | 119 3186 2018w35 | +------------------------------+
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May 11, 2020, 08:18:07 AM |
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ABSTRACT 2020w18, GMT timeData is the full dataset since 24/1/2018, and only dropped last 3 days belong to incomplete week - 2020w19 and an incomplete day (dayid = 836). Details on days dropped, please see above posts. Intra-day merits:- Total observed days: 833
- Potential outliers are days that have intraday total merits beyond 166 or 1218
- Median of intraday merits over the period is 669
- 50% of observed days have their intra-day merits range from 560 to 823 (the interquartile range)
- In medians, the highest and lowest days are Thursday and Saturday, respectively; whilst the highest and lowest days in means are Thursday and Sunday, respectively. See here.
- There are 55 potential outliers (beyond 166 or 1218) in total.
- The distribution of outliers over years are: 41 (74.6%) for 2018, 13 (23.6%) for 2019, and 1 (1.8%) for 2020. (see details)
- Minimum and maximum of intraday merits (full dataset) are 300, and 12676, on 04/8/2019 and 25/1/2018, respectively.
Intra-week merits:- Total observed weeks: 119
- The median of intra-week merits is 4650
- 50% of observed weeks (119 weeks in total), have total merits in the range from 4209 to 5603 (the interquartile range of intra-week merits).
- Minimum and maximum of intra-week merits are 3186 and 27920, in 2018w35, and 2018w4, respectively;
- 9 potential outliers [beyond 2118 or 7694], only 2 of them occurred in the year 2019, on 2019w46 (11070), and 2019w47 (20397); none of them occured in 2020.
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May 16, 2020, 08:12:29 AM |
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Converted dataset: - In 2020 at 15may2020 02:46:56 (GMT time)
- The last one, with dayid = 843 is an incomplete day.
+-----------------------------------------------------------------+ | dayid date merit dofw week month year | |-----------------------------------------------------------------| 708. | 708 01jan2020 810 Wednesday 2020w1 2020m1 2020 | 709. | 709 02jan2020 854 Thursday 2020w1 2020m1 2020 | 710. | 710 03jan2020 837 Friday 2020w1 2020m1 2020 | 711. | 711 04jan2020 637 Saturday 2020w1 2020m1 2020 | 712. | 712 05jan2020 777 Sunday 2020w1 2020m1 2020 | |-----------------------------------------------------------------| 713. | 713 06jan2020 959 Monday 2020w1 2020m1 2020 | 714. | 714 07jan2020 871 Tuesday 2020w1 2020m1 2020 | 715. | 715 08jan2020 860 Wednesday 2020w2 2020m1 2020 | 716. | 716 09jan2020 733 Thursday 2020w2 2020m1 2020 | 717. | 717 10jan2020 745 Friday 2020w2 2020m1 2020 | |-----------------------------------------------------------------| 718. | 718 11jan2020 743 Saturday 2020w2 2020m1 2020 | 719. | 719 12jan2020 689 Sunday 2020w2 2020m1 2020 | 720. | 720 13jan2020 754 Monday 2020w2 2020m1 2020 | 721. | 721 14jan2020 871 Tuesday 2020w2 2020m1 2020 | 722. | 722 15jan2020 979 Wednesday 2020w3 2020m1 2020 | |-----------------------------------------------------------------| 723. | 723 16jan2020 972 Thursday 2020w3 2020m1 2020 | 724. | 724 17jan2020 1063 Friday 2020w3 2020m1 2020 | 725. | 725 18jan2020 823 Saturday 2020w3 2020m1 2020 | 726. | 726 19jan2020 1192 Sunday 2020w3 2020m1 2020 | 727. | 727 20jan2020 1136 Monday 2020w3 2020m1 2020 | |-----------------------------------------------------------------| 728. | 728 21jan2020 1082 Tuesday 2020w3 2020m1 2020 | 729. | 729 22jan2020 863 Wednesday 2020w4 2020m1 2020 | 730. | 730 23jan2020 1050 Thursday 2020w4 2020m1 2020 | 731. | 731 24jan2020 1061 Friday 2020w4 2020m1 2020 | 732. | 732 25jan2020 1043 Saturday 2020w4 2020m1 2020 | |-----------------------------------------------------------------| 733. | 733 26jan2020 715 Sunday 2020w4 2020m1 2020 | 734. | 734 27jan2020 961 Monday 2020w4 2020m1 2020 | 735. | 735 28jan2020 953 Tuesday 2020w4 2020m1 2020 | 736. | 736 29jan2020 1051 Wednesday 2020w5 2020m1 2020 | 737. | 737 30jan2020 1125 Thursday 2020w5 2020m1 2020 | |-----------------------------------------------------------------| 738. | 738 31jan2020 1072 Friday 2020w5 2020m1 2020 | 739. | 739 01feb2020 705 Saturday 2020w5 2020m2 2020 | 740. | 740 02feb2020 836 Sunday 2020w5 2020m2 2020 | 741. | 741 03feb2020 908 Monday 2020w5 2020m2 2020 | 742. | 742 04feb2020 1059 Tuesday 2020w5 2020m2 2020 | |-----------------------------------------------------------------| 743. | 743 05feb2020 873 Wednesday 2020w6 2020m2 2020 | 744. | 744 06feb2020 932 Thursday 2020w6 2020m2 2020 | 745. | 745 07feb2020 800 Friday 2020w6 2020m2 2020 | 746. | 746 08feb2020 763 Saturday 2020w6 2020m2 2020 | 747. | 747 09feb2020 724 Sunday 2020w6 2020m2 2020 | |-----------------------------------------------------------------| 748. | 748 10feb2020 812 Monday 2020w6 2020m2 2020 | 749. | 749 11feb2020 669 Tuesday 2020w6 2020m2 2020 | 750. | 750 12feb2020 596 Wednesday 2020w7 2020m2 2020 | 751. | 751 13feb2020 1047 Thursday 2020w7 2020m2 2020 | 752. | 752 14feb2020 1041 Friday 2020w7 2020m2 2020 | |-----------------------------------------------------------------| 753. | 753 15feb2020 890 Saturday 2020w7 2020m2 2020 | 754. | 754 16feb2020 790 Sunday 2020w7 2020m2 2020 | 755. | 755 17feb2020 1364 Monday 2020w7 2020m2 2020 | 756. | 756 18feb2020 1195 Tuesday 2020w7 2020m2 2020 | 757. | 757 19feb2020 1004 Wednesday 2020w8 2020m2 2020 | |-----------------------------------------------------------------| 758. | 758 20feb2020 782 Thursday 2020w8 2020m2 2020 | 759. | 759 21feb2020 1050 Friday 2020w8 2020m2 2020 | 760. | 760 22feb2020 729 Saturday 2020w8 2020m2 2020 | 761. | 761 23feb2020 724 Sunday 2020w8 2020m2 2020 | 762. | 762 24feb2020 1037 Monday 2020w8 2020m2 2020 | |-----------------------------------------------------------------| 763. | 763 25feb2020 988 Tuesday 2020w8 2020m2 2020 | 764. | 764 26feb2020 857 Wednesday 2020w9 2020m2 2020 | 765. | 765 27feb2020 960 Thursday 2020w9 2020m2 2020 | 766. | 766 28feb2020 678 Friday 2020w9 2020m2 2020 | 767. | 767 29feb2020 662 Saturday 2020w9 2020m2 2020 | |-----------------------------------------------------------------| 768. | 768 01mar2020 651 Sunday 2020w9 2020m3 2020 | 769. | 769 02mar2020 755 Monday 2020w9 2020m3 2020 | 770. | 770 03mar2020 674 Tuesday 2020w9 2020m3 2020 | 771. | 771 04mar2020 572 Wednesday 2020w10 2020m3 2020 | 772. | 772 05mar2020 727 Thursday 2020w10 2020m3 2020 | |-----------------------------------------------------------------| 773. | 773 06mar2020 622 Friday 2020w10 2020m3 2020 | 774. | 774 07mar2020 697 Saturday 2020w10 2020m3 2020 | 775. | 775 08mar2020 670 Sunday 2020w10 2020m3 2020 | 776. | 776 09mar2020 634 Monday 2020w10 2020m3 2020 | 777. | 777 10mar2020 700 Tuesday 2020w10 2020m3 2020 | |-----------------------------------------------------------------| 778. | 778 11mar2020 800 Wednesday 2020w11 2020m3 2020 | 779. | 779 12mar2020 790 Thursday 2020w11 2020m3 2020 | 780. | 780 13mar2020 748 Friday 2020w11 2020m3 2020 | 781. | 781 14mar2020 562 Saturday 2020w11 2020m3 2020 | 782. | 782 15mar2020 528 Sunday 2020w11 2020m3 2020 | |-----------------------------------------------------------------| 783. | 783 16mar2020 888 Monday 2020w11 2020m3 2020 | 784. | 784 17mar2020 793 Tuesday 2020w11 2020m3 2020 | 785. | 785 18mar2020 1090 Wednesday 2020w12 2020m3 2020 | 786. | 786 19mar2020 867 Thursday 2020w12 2020m3 2020 | 787. | 787 20mar2020 999 Friday 2020w12 2020m3 2020 | |-----------------------------------------------------------------| 788. | 788 21mar2020 628 Saturday 2020w12 2020m3 2020 | 789. | 789 22mar2020 549 Sunday 2020w12 2020m3 2020 | 790. | 790 23mar2020 683 Monday 2020w12 2020m3 2020 | 791. | 791 24mar2020 787 Tuesday 2020w12 2020m3 2020 | 792. | 792 25mar2020 786 Wednesday 2020w13 2020m3 2020 | |-----------------------------------------------------------------| 793. | 793 26mar2020 855 Thursday 2020w13 2020m3 2020 | 794. | 794 27mar2020 934 Friday 2020w13 2020m3 2020 | 795. | 795 28mar2020 658 Saturday 2020w13 2020m3 2020 | 796. | 796 29mar2020 452 Sunday 2020w13 2020m3 2020 | 797. | 797 30mar2020 909 Monday 2020w13 2020m3 2020 | |-----------------------------------------------------------------| 798. | 798 31mar2020 798 Tuesday 2020w13 2020m3 2020 | 799. | 799 01apr2020 858 Wednesday 2020w14 2020m4 2020 | 800. | 800 02apr2020 1062 Thursday 2020w14 2020m4 2020 | 801. | 801 03apr2020 805 Friday 2020w14 2020m4 2020 | 802. | 802 04apr2020 943 Saturday 2020w14 2020m4 2020 | |-----------------------------------------------------------------| 803. | 803 05apr2020 661 Sunday 2020w14 2020m4 2020 | 804. | 804 06apr2020 846 Monday 2020w14 2020m4 2020 | 805. | 805 07apr2020 886 Tuesday 2020w14 2020m4 2020 | 806. | 806 08apr2020 875 Wednesday 2020w15 2020m4 2020 | 807. | 807 09apr2020 687 Thursday 2020w15 2020m4 2020 | |-----------------------------------------------------------------| 808. | 808 10apr2020 758 Friday 2020w15 2020m4 2020 | 809. | 809 11apr2020 615 Saturday 2020w15 2020m4 2020 | 810. | 810 12apr2020 660 Sunday 2020w15 2020m4 2020 | 811. | 811 13apr2020 592 Monday 2020w15 2020m4 2020 | 812. | 812 14apr2020 907 Tuesday 2020w15 2020m4 2020 | |-----------------------------------------------------------------| 813. | 813 15apr2020 734 Wednesday 2020w16 2020m4 2020 | 814. | 814 16apr2020 763 Thursday 2020w16 2020m4 2020 | 815. | 815 17apr2020 827 Friday 2020w16 2020m4 2020 | 816. | 816 18apr2020 752 Saturday 2020w16 2020m4 2020 | 817. | 817 19apr2020 627 Sunday 2020w16 2020m4 2020 | |-----------------------------------------------------------------| 818. | 818 20apr2020 626 Monday 2020w16 2020m4 2020 | 819. | 819 21apr2020 723 Tuesday 2020w16 2020m4 2020 | 820. | 820 22apr2020 700 Wednesday 2020w17 2020m4 2020 | 821. | 821 23apr2020 687 Thursday 2020w17 2020m4 2020 | 822. | 822 24apr2020 706 Friday 2020w17 2020m4 2020 | |-----------------------------------------------------------------| 823. | 823 25apr2020 639 Saturday 2020w17 2020m4 2020 | 824. | 824 26apr2020 663 Sunday 2020w17 2020m4 2020 | 825. | 825 27apr2020 654 Monday 2020w17 2020m4 2020 | 826. | 826 28apr2020 490 Tuesday 2020w17 2020m4 2020 | 827. | 827 29apr2020 795 Wednesday 2020w18 2020m4 2020 | |-----------------------------------------------------------------| 828. | 828 30apr2020 983 Thursday 2020w18 2020m4 2020 | 829. | 829 01may2020 1099 Friday 2020w18 2020m5 2020 | 830. | 830 02may2020 745 Saturday 2020w18 2020m5 2020 | 831. | 831 03may2020 716 Sunday 2020w18 2020m5 2020 | 832. | 832 04may2020 659 Monday 2020w18 2020m5 2020 | |-----------------------------------------------------------------| 833. | 833 05may2020 702 Tuesday 2020w18 2020m5 2020 | 834. | 834 06may2020 707 Wednesday 2020w19 2020m5 2020 | 835. | 835 07may2020 852 Thursday 2020w19 2020m5 2020 | 836. | 836 08may2020 734 Friday 2020w19 2020m5 2020 | 837. | 837 09may2020 806 Saturday 2020w19 2020m5 2020 | |-----------------------------------------------------------------| 838. | 838 10may2020 919 Sunday 2020w19 2020m5 2020 | 839. | 839 11may2020 988 Monday 2020w19 2020m5 2020 | 840. | 840 12may2020 642 Tuesday 2020w19 2020m5 2020 | 841. | 841 13may2020 734 Wednesday 2020w20 2020m5 2020 | 842. | 842 14may2020 929 Thursday 2020w20 2020m5 2020 | |-----------------------------------------------------------------| 843. | 843 15may2020 48 Friday 2020w20 2020m5 2020 | +-----------------------------------------------------------------+
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May 20, 2020, 02:56:44 AM |
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Time-series plots:Full dataset:Truncated dataset: Basic statistics (for full dataset): Only drop last 3 days that belong to the 2020w20 (daydi = 841, 842), the incomplete week & incomlete day (dayid = 843). variable | N mean sd p50 p25 p75 min max -------------+-------------------------------------------------------------------------------- merit | 840 792.2857 649.6747 670.5 561 824 300 12676 ----------------------------------------------------------------------------------------------
Applied formulas in previous weeks, potential outliers are days have intra-day merits beyond 167 or 1219. . di 824-561 263
. di 263*1.5 394.5
. di 824+394.5 1218.5
. di 561-394.5 166.5
There are 55 outliers (beyond 1219 or 167) in full dataset, in total. . count if (merit >= 1219 | merit <= 167) & merit != . 55
Those days are: +---------------------------+ | dayid merit date | |---------------------------| 2. | 2 12676 25jan2018 | 3. | 3 6348 26jan2018 | 4. | 4 4627 27jan2018 | 5. | 5 3240 28jan2018 | 6. | 6 3343 29jan2018 | 7. | 7 3804 30jan2018 | 8. | 8 4103 31jan2018 | 9. | 9 2793 01feb2018 | 10. | 10 2621 02feb2018 | 11. | 11 2476 03feb2018 | 12. | 12 1790 04feb2018 | 13. | 13 2263 05feb2018 | 14. | 14 2003 06feb2018 | 15. | 15 2367 07feb2018 | 16. | 16 2059 08feb2018 | 17. | 17 2223 09feb2018 | 18. | 18 1334 10feb2018 | 19. | 19 1793 11feb2018 | 20. | 20 1475 12feb2018 | 21. | 21 1289 13feb2018 | 22. | 22 1580 14feb2018 | 23. | 23 2797 15feb2018 | 24. | 24 1740 16feb2018 | 25. | 25 1431 17feb2018 | 26. | 26 1589 18feb2018 | 27. | 27 1289 19feb2018 | 28. | 28 1442 20feb2018 | 30. | 30 1277 22feb2018 | 31. | 31 1249 23feb2018 | 33. | 33 1372 25feb2018 | 35. | 35 1414 27feb2018 | 36. | 36 1302 28feb2018 | 38. | 38 1345 02mar2018 | 39. | 39 1727 03mar2018 | 49. | 49 1316 13mar2018 | 51. | 51 1224 15mar2018 | 57. | 57 1390 21mar2018 | 237. | 237 2553 17sep2018 | 238. | 238 1807 18sep2018 | 239. | 239 1347 19sep2018 | 240. | 240 1221 20sep2018 | |---------------------------| 429. | 429 1247 28mar2019 | 505. | 505 1227 12jun2019 | 660. | 660 1630 14nov2019 | 661. | 661 2374 15nov2019 | 662. | 662 1585 16nov2019 | 663. | 663 1377 17nov2019 | 664. | 664 2783 18nov2019 | 665. | 665 3826 19nov2019 | 666. | 666 2584 20nov2019 | 667. | 667 4889 21nov2019 | 668. | 668 5515 22nov2019 | 669. | 669 1590 23nov2019 | 678. | 678 1465 02dec2019 | |---------------------------| 755. | 755 1364 17feb2020 | +---------------------------+
Distributions of outliers over years:- 2018: 41 (74.6%)
- 2019: 13 (23.6%)
- 2020: 1 (1.8%)
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May 20, 2020, 02:58:22 AM |
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During the period from 24/1/2018 to 12/5/2020 (last 3 days dropped due to incomplete week, 2020w20 and an incomplete day - dayid = 843), the minimum and maximum of intra-day merit are 300 and 12676, on 04/8/2019 and 25/1/2018, respectively. List of the top 50-highest day in terms of intra-day merits: +-----------------------------------------------------------------------------+ | rank_max merit dayid date dofw week month year | |-----------------------------------------------------------------------------| 1. | 1 12676 2 25jan2018 Thursday 2018w4 2018m1 2018 | 2. | 2 6348 3 26jan2018 Friday 2018w4 2018m1 2018 | 3. | 3 5515 668 22nov2019 Friday 2019w47 2019m11 2019 | 4. | 4 4889 667 21nov2019 Thursday 2019w47 2019m11 2019 | 5. | 5 4627 4 27jan2018 Saturday 2018w4 2018m1 2018 | |-----------------------------------------------------------------------------| 6. | 6 4103 8 31jan2018 Wednesday 2018w5 2018m1 2018 | 7. | 7 3826 665 19nov2019 Tuesday 2019w47 2019m11 2019 | 8. | 8 3804 7 30jan2018 Tuesday 2018w5 2018m1 2018 | 9. | 9 3343 6 29jan2018 Monday 2018w5 2018m1 2018 | 10. | 10 3240 5 28jan2018 Sunday 2018w4 2018m1 2018 | |-----------------------------------------------------------------------------| 11. | 11 2797 23 15feb2018 Thursday 2018w7 2018m2 2018 | 12. | 12 2793 9 01feb2018 Thursday 2018w5 2018m2 2018 | 13. | 13 2783 664 18nov2019 Monday 2019w46 2019m11 2019 | 14. | 14 2621 10 02feb2018 Friday 2018w5 2018m2 2018 | 15. | 15 2584 666 20nov2019 Wednesday 2019w47 2019m11 2019 | |-----------------------------------------------------------------------------| 16. | 16 2553 237 17sep2018 Monday 2018w38 2018m9 2018 | 17. | 17 2476 11 03feb2018 Saturday 2018w5 2018m2 2018 | 18. | 18 2374 661 15nov2019 Friday 2019w46 2019m11 2019 | 19. | 19 2367 15 07feb2018 Wednesday 2018w6 2018m2 2018 | 20. | 20 2263 13 05feb2018 Monday 2018w6 2018m2 2018 | |-----------------------------------------------------------------------------| 21. | 21 2223 17 09feb2018 Friday 2018w6 2018m2 2018 | 22. | 22 2059 16 08feb2018 Thursday 2018w6 2018m2 2018 | 23. | 23 2003 14 06feb2018 Tuesday 2018w6 2018m2 2018 | 24. | 24 1807 238 18sep2018 Tuesday 2018w38 2018m9 2018 | 25. | 25 1793 19 11feb2018 Sunday 2018w6 2018m2 2018 | |-----------------------------------------------------------------------------| 26. | 26 1790 12 04feb2018 Sunday 2018w5 2018m2 2018 | 27. | 27 1740 24 16feb2018 Friday 2018w7 2018m2 2018 | 28. | 28 1727 39 03mar2018 Saturday 2018w9 2018m3 2018 | 29. | 29 1630 660 14nov2019 Thursday 2019w46 2019m11 2019 | 30. | 30 1590 669 23nov2019 Saturday 2019w47 2019m11 2019 | |-----------------------------------------------------------------------------| 31. | 31 1589 26 18feb2018 Sunday 2018w7 2018m2 2018 | 32. | 32 1585 662 16nov2019 Saturday 2019w46 2019m11 2019 | 33. | 33 1580 22 14feb2018 Wednesday 2018w7 2018m2 2018 | 34. | 34 1475 20 12feb2018 Monday 2018w7 2018m2 2018 | 35. | 35 1465 678 02dec2019 Monday 2019w48 2019m12 2019 | |-----------------------------------------------------------------------------| 36. | 36 1442 28 20feb2018 Tuesday 2018w8 2018m2 2018 | 37. | 37 1431 25 17feb2018 Saturday 2018w7 2018m2 2018 | 38. | 38 1414 35 27feb2018 Tuesday 2018w9 2018m2 2018 | 39. | 39 1390 57 21mar2018 Wednesday 2018w12 2018m3 2018 | 40. | 40 1377 663 17nov2019 Sunday 2019w46 2019m11 2019 | |-----------------------------------------------------------------------------| 41. | 41 1372 33 25feb2018 Sunday 2018w8 2018m2 2018 | 42. | 42 1364 755 17feb2020 Monday 2020w7 2020m2 2020 | 43. | 43 1347 239 19sep2018 Wednesday 2018w38 2018m9 2018 | 44. | 44 1345 38 02mar2018 Friday 2018w9 2018m3 2018 | 45. | 45 1334 18 10feb2018 Saturday 2018w6 2018m2 2018 | |-----------------------------------------------------------------------------| 46. | 46 1316 49 13mar2018 Tuesday 2018w11 2018m3 2018 | 47. | 47 1302 36 28feb2018 Wednesday 2018w9 2018m2 2018 | 48. | 48 1289 27 19feb2018 Monday 2018w8 2018m2 2018 | 49. | 49 1289 21 13feb2018 Tuesday 2018w7 2018m2 2018 | 50. | 50 1277 30 22feb2018 Thursday 2018w8 2018m2 2018 | +-----------------------------------------------------------------------------+
List of the top 50-lowest days in terms of intra-day merits: +-----------------------------------------------------------------------------+ | rank_min merit dayid date dofw week month year | |-----------------------------------------------------------------------------| 1. | 1 300 558 04aug2019 Sunday 2019w31 2019m8 2019 | 2. | 2 333 341 30dec2018 Sunday 2018w52 2018m12 2018 | 3. | 3 339 343 01jan2019 Tuesday 2019w1 2019m1 2019 | 4. | 4 347 299 18nov2018 Sunday 2018w46 2018m11 2018 | 5. | 5 347 330 19dec2018 Wednesday 2018w51 2018m12 2018 | |-----------------------------------------------------------------------------| 6. | 6 351 334 23dec2018 Sunday 2018w51 2018m12 2018 | 7. | 7 366 218 29aug2018 Wednesday 2018w35 2018m8 2018 | 8. | 8 367 565 11aug2019 Sunday 2019w32 2019m8 2019 | 9. | 9 370 223 03sep2018 Monday 2018w36 2018m9 2018 | 10. | 10 373 339 28dec2018 Friday 2018w52 2018m12 2018 | |-----------------------------------------------------------------------------| 11. | 11 375 340 29dec2018 Saturday 2018w52 2018m12 2018 | 12. | 12 377 600 15sep2019 Sunday 2019w37 2019m9 2019 | 13. | 13 378 305 24nov2018 Saturday 2018w47 2018m11 2018 | 14. | 14 378 566 12aug2019 Monday 2019w32 2019m8 2019 | 15. | 15 378 567 13aug2019 Tuesday 2019w33 2019m8 2019 | |-----------------------------------------------------------------------------| 16. | 16 380 192 03aug2018 Friday 2018w31 2018m8 2018 | 17. | 17 381 336 25dec2018 Tuesday 2018w52 2018m12 2018 | 18. | 18 385 327 16dec2018 Sunday 2018w50 2018m12 2018 | 19. | 19 385 215 26aug2018 Sunday 2018w34 2018m8 2018 | 20. | 20 391 221 01sep2018 Saturday 2018w35 2018m9 2018 | |-----------------------------------------------------------------------------| 21. | 21 394 188 30jul2018 Monday 2018w31 2018m7 2018 | 22. | 22 399 593 08sep2019 Sunday 2019w36 2019m9 2019 | 23. | 23 401 557 03aug2019 Saturday 2019w31 2019m8 2019 | 24. | 24 401 288 07nov2018 Wednesday 2018w45 2018m11 2018 | 25. | 25 402 263 13oct2018 Saturday 2018w41 2018m10 2018 | |-----------------------------------------------------------------------------| 26. | 26 404 229 09sep2018 Sunday 2018w36 2018m9 2018 | 27. | 27 406 277 27oct2018 Saturday 2018w43 2018m10 2018 | 28. | 28 408 530 07jul2019 Sunday 2019w27 2019m7 2019 | 29. | 29 409 123 26may2018 Saturday 2018w21 2018m5 2018 | 30. | 30 409 589 04sep2019 Wednesday 2019w36 2019m9 2019 | |-----------------------------------------------------------------------------| 31. | 31 410 279 29oct2018 Monday 2018w44 2018m10 2018 | 32. | 32 411 578 24aug2019 Saturday 2019w34 2019m8 2019 | 33. | 33 411 569 15aug2019 Thursday 2019w33 2019m8 2019 | 34. | 34 414 528 05jul2019 Friday 2019w27 2019m7 2019 | 35. | 35 421 193 04aug2018 Saturday 2018w31 2018m8 2018 | |-----------------------------------------------------------------------------| 36. | 36 425 588 03sep2019 Tuesday 2019w36 2019m9 2019 | 37. | 37 426 230 10sep2018 Monday 2018w37 2018m9 2018 | 38. | 38 426 346 04jan2019 Friday 2019w1 2019m1 2019 | 39. | 39 427 141 13jun2018 Wednesday 2018w24 2018m6 2018 | 40. | 40 430 207 18aug2018 Saturday 2018w33 2018m8 2018 | |-----------------------------------------------------------------------------| 41. | 41 432 587 02sep2019 Monday 2019w35 2019m9 2019 | 42. | 42 435 522 29jun2019 Saturday 2019w26 2019m6 2019 | 43. | 43 436 419 18mar2019 Monday 2019w11 2019m3 2019 | 44. | 44 440 265 15oct2018 Monday 2018w42 2018m10 2018 | 45. | 45 440 559 05aug2019 Monday 2019w31 2019m8 2019 | |-----------------------------------------------------------------------------| 46. | 46 440 585 31aug2019 Saturday 2019w35 2019m8 2019 | 47. | 47 441 319 08dec2018 Saturday 2018w49 2018m12 2018 | 48. | 48 441 404 03mar2019 Sunday 2019w9 2019m3 2019 | 49. | 49 442 342 31dec2018 Monday 2018w52 2018m12 2018 | 50. | 50 442 278 28oct2018 Sunday 2018w43 2018m10 2018 | +-----------------------------------------------------------------------------+
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May 20, 2020, 03:02:13 AM |
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Medians and means of intra-day merits over days of weeks GMT timeColors: - Green: highest.
- Red: Lowest.
- In median, the highest days are Thursday , Friday, and Tuesday at 709, 706, and 705, respectively; whislt the lowest days are Saturday, Sunday, and Monday at 615, 630, and 661, respectively. - In means, the highest days are Thursday, Friday, and Tuesday at 911, 854, and 811, respectively; whilst the lowest days are Sunday, Saturday, and Monday, at 695, 710, and 780, respectively. Basic statistics:Summary for variables: merit by categories of: dofw
dofw | N mean sd p50 p25 p75 min max ----------+-------------------------------------------------------------------------------- Sunday | 120.0 694.7 353.3 629.5 503.0 743.0 300.0 3240.0 Monday | 120.0 780.2 435.1 660.5 564.5 867.5 370.0 3343.0 Tuesday | 120.0 810.7 474.6 704.5 594.5 871.0 339.0 3826.0 Wednesday | 120.0 785.9 432.2 685.5 605.0 836.5 347.0 4103.0 Thursday | 120.0 911.0 1200.6 709.0 587.0 848.5 411.0 12676.0 Friday | 120.0 853.8 747.8 705.5 566.5 847.5 373.0 6348.0 Saturday | 120.0 709.8 462.5 614.5 509.0 741.5 375.0 4627.0 ----------+-------------------------------------------------------------------------------- Total | 840.0 792.3 649.7 670.5 561.0 824.0 300.0 12676.0 -------------------------------------------------------------------------------------------
Box plotsOutliers non-displayed. Since this week, I have stopped to give you box plot with outliers, and changed box colors for days of week. I hope you like the color changes.Details on ranks:In medians +--------------------------------------------------------------------------+ | rankmedian dofw median mean p25 p75 min max | |--------------------------------------------------------------------------| 1. | 1 Thursday 709 910.975 587 848.5 411 12676 | 2. | 2 Friday 705.5 853.8167 566.5 847.5 373 6348 | 3. | 3 Tuesday 704.5 810.6583 594.5 871 339 3826 | 4. | 4 Wednesday 685.5 785.9 605 836.5 347 4103 | 5. | 5 Monday 660.5 780.2167 564.5 867.5 370 3343 | |--------------------------------------------------------------------------| 6. | 6 Sunday 629.5 694.6583 503 743 300 3240 | 7. | 7 Saturday 614.5 709.775 509 741.5 375 4627 | +--------------------------------------------------------------------------+
In means +------------------------------------------------------------------------+ | rankmean dofw mean median p25 p75 min max | |------------------------------------------------------------------------| 1. | 1 Thursday 910.975 709 587 848.5 411 12676 | 2. | 2 Friday 853.8167 705.5 566.5 847.5 373 6348 | 3. | 3 Tuesday 810.6583 704.5 594.5 871 339 3826 | 4. | 4 Wednesday 785.9 685.5 605 836.5 347 4103 | 5. | 5 Monday 780.2167 660.5 564.5 867.5 370 3343 | |------------------------------------------------------------------------| 6. | 6 Saturday 709.775 614.5 509 741.5 375 4627 | 7. | 7 Sunday 694.6583 629.5 503 743 300 3240 | +------------------------------------------------------------------------+
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May 20, 2020, 03:07:21 AM |
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Intra-week merits (from 24/1/2018 to 12/5/2020)Last 3 days dropped due to incomplete week (2020w20) and an incomplete day (dayid = 843)Converted dataset: +-----------------+ | merit week | |-----------------| 1. | 27920 2018w4 | 2. | 20930 2018w5 | 3. | 14042 2018w6 | 4. | 11901 2018w7 | 5. | 8879 2018w8 | |-----------------| 6. | 9005 2018w9 | 7. | 7178 2018w10 | 8. | 7340 2018w11 | 9. | 7138 2018w12 | 10. | 6392 2018w13 | |-----------------| 11. | 6542 2018w14 | 12. | 5946 2018w15 | 13. | 4449 2018w16 | 14. | 4820 2018w17 | 15. | 5043 2018w18 | |-----------------| 16. | 4685 2018w19 | 17. | 4431 2018w20 | 18. | 3903 2018w21 | 19. | 4248 2018w22 | 20. | 4473 2018w23 | |-----------------| 21. | 3953 2018w24 | 22. | 4574 2018w25 | 23. | 4684 2018w26 | 24. | 4367 2018w27 | 25. | 4109 2018w28 | |-----------------| 26. | 4277 2018w29 | 27. | 3809 2018w30 | 28. | 3489 2018w31 | 29. | 4199 2018w32 | 30. | 3767 2018w33 | |-----------------| 31. | 3763 2018w34 | 32. | 3186 2018w35 | 33. | 3536 2018w36 | 34. | 3586 2018w37 | 35. | 9587 2018w38 | |-----------------| 36. | 4508 2018w39 | 37. | 4325 2018w40 | 38. | 3981 2018w41 | 39. | 4424 2018w42 | 40. | 4386 2018w43 | |-----------------| 41. | 3321 2018w44 | 42. | 4175 2018w45 | 43. | 4047 2018w46 | 44. | 4606 2018w47 | 45. | 3791 2018w48 | |-----------------| 46. | 3596 2018w49 | 47. | 3689 2018w50 | 48. | 3615 2018w51 | 49. | 3687 2018w52 | 50. | 4584 2019w1 | |-----------------| 51. | 6102 2019w2 | 52. | 5776 2019w3 | 53. | 4582 2019w4 | 54. | 4408 2019w5 | 55. | 4505 2019w6 | |-----------------| 56. | 4259 2019w7 | 57. | 4314 2019w8 | 58. | 4726 2019w9 | 59. | 4979 2019w10 | 60. | 4295 2019w11 | |-----------------| 61. | 4690 2019w12 | 62. | 5728 2019w13 | 63. | 4695 2019w14 | 64. | 5253 2019w15 | 65. | 4880 2019w16 | |-----------------| 66. | 4260 2019w17 | 67. | 4817 2019w18 | 68. | 5002 2019w19 | 69. | 5596 2019w20 | 70. | 4693 2019w21 | |-----------------| 71. | 4342 2019w22 | 72. | 4597 2019w23 | 73. | 5373 2019w24 | 74. | 4629 2019w25 | 75. | 4672 2019w26 | |-----------------| 76. | 3882 2019w27 | 77. | 4462 2019w28 | 78. | 4005 2019w29 | 79. | 4377 2019w30 | 80. | 3603 2019w31 | |-----------------| 81. | 3346 2019w32 | 82. | 3965 2019w33 | 83. | 3811 2019w34 | 84. | 3579 2019w35 | 85. | 3683 2019w36 | |-----------------| 86. | 4005 2019w37 | 87. | 4382 2019w38 | 88. | 4348 2019w39 | 89. | 4209 2019w40 | 90. | 4701 2019w41 | |-----------------| 91. | 5160 2019w42 | 92. | 5375 2019w43 | 93. | 4816 2019w44 | 94. | 4753 2019w45 | 95. | 11070 2019w46 | |-----------------| 96. | 20397 2019w47 | 97. | 6271 2019w48 | 98. | 4650 2019w49 | 99. | 4832 2019w50 | 100. | 6066 2019w51 | |-----------------| 101. | 7058 2019w52 | 102. | 5745 2020w1 | 103. | 5395 2020w2 | 104. | 7247 2020w3 | 105. | 6646 2020w4 | |-----------------| 106. | 6756 2020w5 | 107. | 5573 2020w6 | 108. | 6923 2020w7 | 109. | 6314 2020w8 | 110. | 5237 2020w9 | |-----------------| 111. | 4622 2020w10 | 112. | 5109 2020w11 | 113. | 5603 2020w12 | 114. | 5392 2020w13 | 115. | 6061 2020w14 | |-----------------| 116. | 5094 2020w15 | 117. | 5052 2020w16 | 118. | 4539 2020w17 | 119. | 5699 2020w18 | 120. | 5648 2020w19 | +-----------------+
Time series plotBasic statistics:- 50% of observed weeks ( 120 weeks) have total intra-week merits above 4661, whilst the rest 50% of them have total intra-week merits below 4661. 4661 is the median - p50. - 50% of observed weeks have total intra-week merits fluctuated in the range from 4229 to 5626 (the interquartile range, from p25 to p75, in raw statistics below). - Min - max: 3186 - 27920. variable | N mean sd p50 p25 p75 min max -------------+-------------------------------------------------------------------------------- merit | 120.0 5546.0 3313.4 4661.0 4228.5 5625.5 3186.0 27920.0 ----------------------------------------------------------------------------------------------
Potential outliers:. di 5625.5-4228.5 1397
. di 1397*1.5 2095.5
. di 5625.5+2095.5 7721
. di 4228.5-2095.5 2133
It means that potential outliers are weeks that have intra-week merits beyond 2133 or 7721. How many weeks are potential outliers? . count if (merit >= 7721 | merit < 2133) & merit != . 9
9 weeks are outliers, in total. List of those 9 weeks: +-----------------+ | merit week | |-----------------| 1. | 27920 2018w4 | 2. | 20930 2018w5 | 3. | 14042 2018w6 | 4. | 11901 2018w7 | 5. | 8879 2018w8 | |-----------------| 6. | 9005 2018w9 | 35. | 9587 2018w38 | 95. | 11070 2019w46 | 96. | 20397 2019w47 | +-----------------+
Most of them occured in the year 2018, and there is only 2 outliers week occured in 2019, in 2019w46 (11070), 2019w47 (20397). None of them occured in 2020 so far. List of weeks in descending weekly meritsThe last week (with 5648 merits) stays at the 30th position, among 120weeks. +------------------------------+ | weeklyrank merit week | |------------------------------| 1. | 1 27920 2018w4 | 2. | 2 20930 2018w5 | 3. | 3 20397 2019w47 | 4. | 4 14042 2018w6 | 5. | 5 11901 2018w7 | |------------------------------| 6. | 6 11070 2019w46 | 7. | 7 9587 2018w38 | 8. | 8 9005 2018w9 | 9. | 9 8879 2018w8 | 10. | 10 7340 2018w11 | |------------------------------| 11. | 11 7247 2020w3 | 12. | 12 7178 2018w10 | 13. | 13 7138 2018w12 | 14. | 14 7058 2019w52 | 15. | 15 6923 2020w7 | |------------------------------| 16. | 16 6756 2020w5 | 17. | 17 6646 2020w4 | 18. | 18 6542 2018w14 | 19. | 19 6392 2018w13 | 20. | 20 6314 2020w8 | |------------------------------| 21. | 21 6271 2019w48 | 22. | 22 6102 2019w2 | 23. | 23 6066 2019w51 | 24. | 24 6061 2020w14 | 25. | 25 5946 2018w15 | |------------------------------| 26. | 26 5776 2019w3 | 27. | 27 5745 2020w1 | 28. | 28 5728 2019w13 | 29. | 29 5699 2020w18 | 30. | 30 5648 2020w19 | |------------------------------| 31. | 31 5603 2020w12 | 32. | 32 5596 2019w20 | 33. | 33 5573 2020w6 | 34. | 34 5395 2020w2 | 35. | 35 5392 2020w13 | |------------------------------| 36. | 36 5375 2019w43 | 37. | 37 5373 2019w24 | 38. | 38 5253 2019w15 | 39. | 39 5237 2020w9 | 40. | 40 5160 2019w42 | |------------------------------| 41. | 41 5109 2020w11 | 42. | 42 5094 2020w15 | 43. | 43 5052 2020w16 | 44. | 44 5043 2018w18 | 45. | 45 5002 2019w19 | |------------------------------| 46. | 46 4979 2019w10 | 47. | 47 4880 2019w16 | 48. | 48 4832 2019w50 | 49. | 49 4820 2018w17 | 50. | 50 4817 2019w18 | |------------------------------| 51. | 51 4816 2019w44 | 52. | 52 4753 2019w45 | 53. | 53 4726 2019w9 | 54. | 54 4701 2019w41 | 55. | 55 4695 2019w14 | |------------------------------| 56. | 56 4693 2019w21 | 57. | 57 4690 2019w12 | 58. | 58 4685 2018w19 | 59. | 59 4684 2018w26 | 60. | 60 4672 2019w26 | |------------------------------| 61. | 61 4650 2019w49 | 62. | 62 4629 2019w25 | 63. | 63 4622 2020w10 | 64. | 64 4606 2018w47 | 65. | 65 4597 2019w23 | |------------------------------| 66. | 66 4584 2019w1 | 67. | 67 4582 2019w4 | 68. | 68 4574 2018w25 | 69. | 69 4539 2020w17 | 70. | 70 4508 2018w39 | |------------------------------| 71. | 71 4505 2019w6 | 72. | 72 4473 2018w23 | 73. | 73 4462 2019w28 | 74. | 74 4449 2018w16 | 75. | 75 4431 2018w20 | |------------------------------| 76. | 76 4424 2018w42 | 77. | 77 4408 2019w5 | 78. | 78 4386 2018w43 | 79. | 79 4382 2019w38 | 80. | 80 4377 2019w30 | |------------------------------| 81. | 81 4367 2018w27 | 82. | 82 4348 2019w39 | 83. | 83 4342 2019w22 | 84. | 84 4325 2018w40 | 85. | 85 4314 2019w8 | |------------------------------| 86. | 86 4295 2019w11 | 87. | 87 4277 2018w29 | 88. | 88 4260 2019w17 | 89. | 89 4259 2019w7 | 90. | 90 4248 2018w22 | |------------------------------| 91. | 91 4209 2019w40 | 92. | 92 4199 2018w32 | 93. | 93 4175 2018w45 | 94. | 94 4109 2018w28 | 95. | 95 4047 2018w46 | |------------------------------| 96. | 96 4005 2019w37 | 97. | 97 4005 2019w29 | 98. | 98 3981 2018w41 | 99. | 99 3965 2019w33 | 100. | 100 3953 2018w24 | |------------------------------| 101. | 101 3903 2018w21 | 102. | 102 3882 2019w27 | 103. | 103 3811 2019w34 | 104. | 104 3809 2018w30 | 105. | 105 3791 2018w48 | |------------------------------| 106. | 106 3767 2018w33 | 107. | 107 3763 2018w34 | 108. | 108 3689 2018w50 | 109. | 109 3687 2018w52 | 110. | 110 3683 2019w36 | |------------------------------| 111. | 111 3615 2018w51 | 112. | 112 3603 2019w31 | 113. | 113 3596 2018w49 | 114. | 114 3586 2018w37 | 115. | 115 3579 2019w35 | |------------------------------| 116. | 116 3536 2018w36 | 117. | 117 3489 2018w31 | 118. | 118 3346 2019w32 | 119. | 119 3321 2018w44 | 120. | 120 3186 2018w35 | +------------------------------+
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May 20, 2020, 03:10:25 AM |
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ABSTRACT 2020w19, GMT timeData is the full dataset since 24/1/2018, and only dropped last 3 days belong to incomplete week - 2020w20 and an incomplete day (dayid = 843). Details on days dropped, please see above posts. Intra-day merits:- Total observed days: 840
- Potential outliers are days that have intraday total merits beyond 167 or 1219
- Median of intraday merits over the period is 671
- 50% of observed days have their intra-day merits range from 561 to 824 (the interquartile range)
- In medians, the highest and lowest days are Thursday and Saturday, respectively; whilst the highest and lowest days in means are Thursday and Sunday, respectively. See here.
- There are 55 potential outliers (beyond 167 or 1219) in total.
- The distribution of outliers over years are: 41 (74.6%) for 2018, 13 (23.6%) for 2019, and 1 (1.8%) for 2020. (see details)
- Minimum and maximum of intraday merits (full dataset) are 300, and 12676, on 04/8/2019 and 25/1/2018, respectively.
Intra-week merits:- Total observed weeks: 120
- The median of intra-week merits is 4661
- 50% of observed weeks (120 weeks in total), have total merits in the range from 4229 to 5626 (the interquartile range of intra-week merits).
- Minimum and maximum of intra-week merits are 3186 and 27920, in 2018w35, and 2018w4, respectively;
- 9 potential outliers [beyond 2133 or 7721], only 2 of them occurred in the year 2019, on 2019w46 (11070), and 2019w47 (20397); none of them occured in 2020.
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May 23, 2020, 07:37:42 AM |
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Converted dataset: - In 2020 at 22may2020 02:50:10 (GMT time)
- The last one, with dayid = 850 is an incomplete day.
+-----------------------------------------------------------------+ | dayid date merit dofw week month year | |-----------------------------------------------------------------| 708. | 708 01jan2020 810 Wednesday 2020w1 2020m1 2020 | 709. | 709 02jan2020 854 Thursday 2020w1 2020m1 2020 | 710. | 710 03jan2020 837 Friday 2020w1 2020m1 2020 | 711. | 711 04jan2020 637 Saturday 2020w1 2020m1 2020 | 712. | 712 05jan2020 777 Sunday 2020w1 2020m1 2020 | |-----------------------------------------------------------------| 713. | 713 06jan2020 959 Monday 2020w1 2020m1 2020 | 714. | 714 07jan2020 871 Tuesday 2020w1 2020m1 2020 | 715. | 715 08jan2020 860 Wednesday 2020w2 2020m1 2020 | 716. | 716 09jan2020 733 Thursday 2020w2 2020m1 2020 | 717. | 717 10jan2020 745 Friday 2020w2 2020m1 2020 | |-----------------------------------------------------------------| 718. | 718 11jan2020 743 Saturday 2020w2 2020m1 2020 | 719. | 719 12jan2020 689 Sunday 2020w2 2020m1 2020 | 720. | 720 13jan2020 754 Monday 2020w2 2020m1 2020 | 721. | 721 14jan2020 871 Tuesday 2020w2 2020m1 2020 | 722. | 722 15jan2020 979 Wednesday 2020w3 2020m1 2020 | |-----------------------------------------------------------------| 723. | 723 16jan2020 972 Thursday 2020w3 2020m1 2020 | 724. | 724 17jan2020 1063 Friday 2020w3 2020m1 2020 | 725. | 725 18jan2020 823 Saturday 2020w3 2020m1 2020 | 726. | 726 19jan2020 1192 Sunday 2020w3 2020m1 2020 | 727. | 727 20jan2020 1136 Monday 2020w3 2020m1 2020 | |-----------------------------------------------------------------| 728. | 728 21jan2020 1082 Tuesday 2020w3 2020m1 2020 | 729. | 729 22jan2020 863 Wednesday 2020w4 2020m1 2020 | 730. | 730 23jan2020 1050 Thursday 2020w4 2020m1 2020 | 731. | 731 24jan2020 1061 Friday 2020w4 2020m1 2020 | 732. | 732 25jan2020 1043 Saturday 2020w4 2020m1 2020 | |-----------------------------------------------------------------| 733. | 733 26jan2020 715 Sunday 2020w4 2020m1 2020 | 734. | 734 27jan2020 961 Monday 2020w4 2020m1 2020 | 735. | 735 28jan2020 953 Tuesday 2020w4 2020m1 2020 | 736. | 736 29jan2020 1051 Wednesday 2020w5 2020m1 2020 | 737. | 737 30jan2020 1125 Thursday 2020w5 2020m1 2020 | |-----------------------------------------------------------------| 738. | 738 31jan2020 1072 Friday 2020w5 2020m1 2020 | 739. | 739 01feb2020 705 Saturday 2020w5 2020m2 2020 | 740. | 740 02feb2020 836 Sunday 2020w5 2020m2 2020 | 741. | 741 03feb2020 908 Monday 2020w5 2020m2 2020 | 742. | 742 04feb2020 1059 Tuesday 2020w5 2020m2 2020 | |-----------------------------------------------------------------| 743. | 743 05feb2020 873 Wednesday 2020w6 2020m2 2020 | 744. | 744 06feb2020 932 Thursday 2020w6 2020m2 2020 | 745. | 745 07feb2020 800 Friday 2020w6 2020m2 2020 | 746. | 746 08feb2020 763 Saturday 2020w6 2020m2 2020 | 747. | 747 09feb2020 724 Sunday 2020w6 2020m2 2020 | |-----------------------------------------------------------------| 748. | 748 10feb2020 812 Monday 2020w6 2020m2 2020 | 749. | 749 11feb2020 669 Tuesday 2020w6 2020m2 2020 | 750. | 750 12feb2020 596 Wednesday 2020w7 2020m2 2020 | 751. | 751 13feb2020 1047 Thursday 2020w7 2020m2 2020 | 752. | 752 14feb2020 1041 Friday 2020w7 2020m2 2020 | |-----------------------------------------------------------------| 753. | 753 15feb2020 890 Saturday 2020w7 2020m2 2020 | 754. | 754 16feb2020 790 Sunday 2020w7 2020m2 2020 | 755. | 755 17feb2020 1364 Monday 2020w7 2020m2 2020 | 756. | 756 18feb2020 1195 Tuesday 2020w7 2020m2 2020 | 757. | 757 19feb2020 1004 Wednesday 2020w8 2020m2 2020 | |-----------------------------------------------------------------| 758. | 758 20feb2020 782 Thursday 2020w8 2020m2 2020 | 759. | 759 21feb2020 1050 Friday 2020w8 2020m2 2020 | 760. | 760 22feb2020 729 Saturday 2020w8 2020m2 2020 | 761. | 761 23feb2020 724 Sunday 2020w8 2020m2 2020 | 762. | 762 24feb2020 1037 Monday 2020w8 2020m2 2020 | |-----------------------------------------------------------------| 763. | 763 25feb2020 988 Tuesday 2020w8 2020m2 2020 | 764. | 764 26feb2020 857 Wednesday 2020w9 2020m2 2020 | 765. | 765 27feb2020 960 Thursday 2020w9 2020m2 2020 | 766. | 766 28feb2020 678 Friday 2020w9 2020m2 2020 | 767. | 767 29feb2020 662 Saturday 2020w9 2020m2 2020 | |-----------------------------------------------------------------| 768. | 768 01mar2020 651 Sunday 2020w9 2020m3 2020 | 769. | 769 02mar2020 755 Monday 2020w9 2020m3 2020 | 770. | 770 03mar2020 674 Tuesday 2020w9 2020m3 2020 | 771. | 771 04mar2020 572 Wednesday 2020w10 2020m3 2020 | 772. | 772 05mar2020 727 Thursday 2020w10 2020m3 2020 | |-----------------------------------------------------------------| 773. | 773 06mar2020 622 Friday 2020w10 2020m3 2020 | 774. | 774 07mar2020 697 Saturday 2020w10 2020m3 2020 | 775. | 775 08mar2020 670 Sunday 2020w10 2020m3 2020 | 776. | 776 09mar2020 634 Monday 2020w10 2020m3 2020 | 777. | 777 10mar2020 700 Tuesday 2020w10 2020m3 2020 | |-----------------------------------------------------------------| 778. | 778 11mar2020 800 Wednesday 2020w11 2020m3 2020 | 779. | 779 12mar2020 790 Thursday 2020w11 2020m3 2020 | 780. | 780 13mar2020 748 Friday 2020w11 2020m3 2020 | 781. | 781 14mar2020 562 Saturday 2020w11 2020m3 2020 | 782. | 782 15mar2020 528 Sunday 2020w11 2020m3 2020 | |-----------------------------------------------------------------| 783. | 783 16mar2020 888 Monday 2020w11 2020m3 2020 | 784. | 784 17mar2020 793 Tuesday 2020w11 2020m3 2020 | 785. | 785 18mar2020 1090 Wednesday 2020w12 2020m3 2020 | 786. | 786 19mar2020 867 Thursday 2020w12 2020m3 2020 | 787. | 787 20mar2020 999 Friday 2020w12 2020m3 2020 | |-----------------------------------------------------------------| 788. | 788 21mar2020 628 Saturday 2020w12 2020m3 2020 | 789. | 789 22mar2020 549 Sunday 2020w12 2020m3 2020 | 790. | 790 23mar2020 683 Monday 2020w12 2020m3 2020 | 791. | 791 24mar2020 787 Tuesday 2020w12 2020m3 2020 | 792. | 792 25mar2020 786 Wednesday 2020w13 2020m3 2020 | |-----------------------------------------------------------------| 793. | 793 26mar2020 855 Thursday 2020w13 2020m3 2020 | 794. | 794 27mar2020 934 Friday 2020w13 2020m3 2020 | 795. | 795 28mar2020 658 Saturday 2020w13 2020m3 2020 | 796. | 796 29mar2020 452 Sunday 2020w13 2020m3 2020 | 797. | 797 30mar2020 909 Monday 2020w13 2020m3 2020 | |-----------------------------------------------------------------| 798. | 798 31mar2020 798 Tuesday 2020w13 2020m3 2020 | 799. | 799 01apr2020 858 Wednesday 2020w14 2020m4 2020 | 800. | 800 02apr2020 1062 Thursday 2020w14 2020m4 2020 | 801. | 801 03apr2020 805 Friday 2020w14 2020m4 2020 | 802. | 802 04apr2020 943 Saturday 2020w14 2020m4 2020 | |-----------------------------------------------------------------| 803. | 803 05apr2020 661 Sunday 2020w14 2020m4 2020 | 804. | 804 06apr2020 846 Monday 2020w14 2020m4 2020 | 805. | 805 07apr2020 886 Tuesday 2020w14 2020m4 2020 | 806. | 806 08apr2020 875 Wednesday 2020w15 2020m4 2020 | 807. | 807 09apr2020 687 Thursday 2020w15 2020m4 2020 | |-----------------------------------------------------------------| 808. | 808 10apr2020 758 Friday 2020w15 2020m4 2020 | 809. | 809 11apr2020 615 Saturday 2020w15 2020m4 2020 | 810. | 810 12apr2020 660 Sunday 2020w15 2020m4 2020 | 811. | 811 13apr2020 592 Monday 2020w15 2020m4 2020 | 812. | 812 14apr2020 907 Tuesday 2020w15 2020m4 2020 | |-----------------------------------------------------------------| 813. | 813 15apr2020 734 Wednesday 2020w16 2020m4 2020 | 814. | 814 16apr2020 763 Thursday 2020w16 2020m4 2020 | 815. | 815 17apr2020 827 Friday 2020w16 2020m4 2020 | 816. | 816 18apr2020 752 Saturday 2020w16 2020m4 2020 | 817. | 817 19apr2020 627 Sunday 2020w16 2020m4 2020 | |-----------------------------------------------------------------| 818. | 818 20apr2020 626 Monday 2020w16 2020m4 2020 | 819. | 819 21apr2020 723 Tuesday 2020w16 2020m4 2020 | 820. | 820 22apr2020 700 Wednesday 2020w17 2020m4 2020 | 821. | 821 23apr2020 687 Thursday 2020w17 2020m4 2020 | 822. | 822 24apr2020 706 Friday 2020w17 2020m4 2020 | |-----------------------------------------------------------------| 823. | 823 25apr2020 639 Saturday 2020w17 2020m4 2020 | 824. | 824 26apr2020 663 Sunday 2020w17 2020m4 2020 | 825. | 825 27apr2020 654 Monday 2020w17 2020m4 2020 | 826. | 826 28apr2020 490 Tuesday 2020w17 2020m4 2020 | 827. | 827 29apr2020 795 Wednesday 2020w18 2020m4 2020 | |-----------------------------------------------------------------| 828. | 828 30apr2020 983 Thursday 2020w18 2020m4 2020 | 829. | 829 01may2020 1099 Friday 2020w18 2020m5 2020 | 830. | 830 02may2020 745 Saturday 2020w18 2020m5 2020 | 831. | 831 03may2020 716 Sunday 2020w18 2020m5 2020 | 832. | 832 04may2020 659 Monday 2020w18 2020m5 2020 | |-----------------------------------------------------------------| 833. | 833 05may2020 702 Tuesday 2020w18 2020m5 2020 | 834. | 834 06may2020 707 Wednesday 2020w19 2020m5 2020 | 835. | 835 07may2020 852 Thursday 2020w19 2020m5 2020 | 836. | 836 08may2020 734 Friday 2020w19 2020m5 2020 | 837. | 837 09may2020 806 Saturday 2020w19 2020m5 2020 | |-----------------------------------------------------------------| 838. | 838 10may2020 919 Sunday 2020w19 2020m5 2020 | 839. | 839 11may2020 988 Monday 2020w19 2020m5 2020 | 840. | 840 12may2020 642 Tuesday 2020w19 2020m5 2020 | 841. | 841 13may2020 734 Wednesday 2020w20 2020m5 2020 | 842. | 842 14may2020 929 Thursday 2020w20 2020m5 2020 | |-----------------------------------------------------------------| 843. | 843 15may2020 681 Friday 2020w20 2020m5 2020 | 844. | 844 16may2020 749 Saturday 2020w20 2020m5 2020 | 845. | 845 17may2020 1198 Sunday 2020w20 2020m5 2020 | 846. | 846 18may2020 728 Monday 2020w20 2020m5 2020 | 847. | 847 19may2020 783 Tuesday 2020w20 2020m5 2020 | |-----------------------------------------------------------------| 848. | 848 20may2020 759 Wednesday 2020w21 2020m5 2020 | 849. | 849 21may2020 774 Thursday 2020w21 2020m5 2020 | 850. | 850 22may2020 65 Friday 2020w21 2020m5 2020 | +-----------------------------------------------------------------+
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tranthidung (OP)
Legendary
Offline
Activity: 2268
Merit: 4010
Farewell o_e_l_e_o
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May 27, 2020, 02:14:19 PM Last edit: May 27, 2020, 02:53:58 PM by tranthidung |
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Time-series plots:Full dataset:Truncated dataset: Basic statistics (for full dataset): Only drop last 3 days that belong to the 2020w21 (daydi = 848, 849), the incomplete week & incomlete day (dayid = 850). variable | N mean sd p50 p25 p75 min max -------------+-------------------------------------------------------------------------------- merit | 847 792.588 647.1686 673 562 824 300 12676 ----------------------------------------------------------------------------------------------
Applied formulas in previous weeks, potential outliers are days have intra-day merits beyond 169 or 1217. . di 824-562 262
. di 262*1.5 393
. di 824+393 1217
. di 562-393 169
There are 55 outliers (beyond 1217 or 169) in full dataset, in total. . count if (merit >= 1217 | merit <= 169) & merit != . 55
Those days are: +---------------------------+ | dayid merit date | |---------------------------| 2. | 2 12676 25jan2018 | 3. | 3 6348 26jan2018 | 4. | 4 4627 27jan2018 | 5. | 5 3240 28jan2018 | 6. | 6 3343 29jan2018 | 7. | 7 3804 30jan2018 | 8. | 8 4103 31jan2018 | 9. | 9 2793 01feb2018 | 10. | 10 2621 02feb2018 | 11. | 11 2476 03feb2018 | 12. | 12 1790 04feb2018 | 13. | 13 2263 05feb2018 | 14. | 14 2003 06feb2018 | 15. | 15 2367 07feb2018 | 16. | 16 2059 08feb2018 | 17. | 17 2223 09feb2018 | 18. | 18 1334 10feb2018 | 19. | 19 1793 11feb2018 | 20. | 20 1475 12feb2018 | 21. | 21 1289 13feb2018 | 22. | 22 1580 14feb2018 | 23. | 23 2797 15feb2018 | 24. | 24 1740 16feb2018 | 25. | 25 1431 17feb2018 | 26. | 26 1589 18feb2018 | 27. | 27 1289 19feb2018 | 28. | 28 1442 20feb2018 | 30. | 30 1277 22feb2018 | 31. | 31 1249 23feb2018 | 33. | 33 1372 25feb2018 | 35. | 35 1414 27feb2018 | 36. | 36 1302 28feb2018 | 38. | 38 1345 02mar2018 | 39. | 39 1727 03mar2018 | 49. | 49 1316 13mar2018 | 51. | 51 1224 15mar2018 | 57. | 57 1390 21mar2018 | 237. | 237 2553 17sep2018 | 238. | 238 1807 18sep2018 | 239. | 239 1347 19sep2018 | 240. | 240 1221 20sep2018 | |---------------------------| 429. | 429 1247 28mar2019 | 505. | 505 1227 12jun2019 | 660. | 660 1630 14nov2019 | 661. | 661 2374 15nov2019 | 662. | 662 1585 16nov2019 | 663. | 663 1377 17nov2019 | 664. | 664 2783 18nov2019 | 665. | 665 3826 19nov2019 | 666. | 666 2584 20nov2019 | 667. | 667 4889 21nov2019 | 668. | 668 5515 22nov2019 | 669. | 669 1590 23nov2019 | 678. | 678 1465 02dec2019 | |---------------------------| 755. | 755 1364 17feb2020 | +---------------------------+
Distributions of outliers over years:- 2018: 41 (74.6%)
- 2019: 13 (23.6%)
- 2020: 1 (1.8%)
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