Time Series Analysis on Distributed Merits in the forum (daily, weekly, monthly) - page 10.

tranthidung

legendary

Activity: 2310

Merit: 4085

Farewell o_e_l_e_o

ABSTRACT ^{2020w9, GMT time}
Data is the full dataset since 24/1/2018, and only dropped last 3 days belong to incomplete week - 2020w10 and an incomplete day (dayid = 773). Details on days dropped, please see above posts.

Intra-day merits:

Total observed days: 770
Potential outliers are days that have intraday total merits beyond 151 or 1227
Median of intraday merits over the period is 663
50% of observed days have their intra-day merits range from 554 to 823 (the interquartile range)
In medians, the highest and lowest days are Tuesday and Saturday, respectively; whilst the highest and lowest days in means are Thursday and Sunday, respectively. See here.
There are 53 potential outliers (beyond 151 or 1227) in total.
The distribution of outliers over years are: 39 (73.6%) for 2018, 13 (24.5%) for 2019, and 1 (1.9%) 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: 110
The median of intra-week merits is 4602
50% of observed weeks (110 weeks in total), have total merits in the range from 4175 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 2044 or 7728], only 2 of them occurred in the year 2019, on 2019w46 (11070), and 2019w47 (20397).

tranthidung

legendary

Activity: 2310

Merit: 4085

Farewell o_e_l_e_o

Intra-week merits (from 24/1/2018 to 03/3/2020)
Last 3 days dropped due to incomplete week (2020w10) and an incomplete day (dayid = 773)

Converted dataset:

Code:

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

Time series plot

Basic statistics:
- 50% of observed weeks (110 weeks) have total intra-week merits above 4602, whilst the rest 50% of them have total intra-week merits below 4602. 4602 is the median - p50.
- 50% of observed weeks have total intra-week merits fluctuated in the range from 4175 to 5596 (the interquartile range, from p25 to p75, in raw statistics below).
- Min - max: 3186 - 27920.

Code:

    variable |         N      mean        sd       p50       p25       p75       min       max
-------------+--------------------------------------------------------------------------------
       merit |     110.0    5570.0    3458.2    4601.5    4175.0    5596.0    3186.0   27920.0
----------------------------------------------------------------------------------------------

Potential outliers:

Code:

. di 5596-4175
1421

. di 1421*1.5
2131.5

. di 5596+2131.5
7727.5

. di 4175-2131.5
2043.5

It means that potential outliers are weeks that have intra-week merits beyond 2044 or 7728.
How many weeks are potential outliers?

Code:

. count if (merit >= 7728 | merit < 2044) & merit != .
  9

9 weeks are outliers, in total.
List of those 9 weeks:

Code:

     +-----------------+
     | 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).

List of weeks in descending weekly merits
The last week (with 5237 merits) stays at the 34^th position, among 110 weeks.

Code:


     +------------------------------+
     | 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    5946   2018w15 |
 25. |         25    5776    2019w3 |
     |------------------------------|
 26. |         26    5745    2020w1 |
 27. |         27    5728   2019w13 |
 28. |         28    5596   2019w20 |
 29. |         29    5573    2020w6 |
 30. |         30    5395    2020w2 |
     |------------------------------|
 31. |         31    5375   2019w43 |
 32. |         32    5373   2019w24 |
 33. |         33    5253   2019w15 |
 34. |         34    5237    2020w9 |
 35. |         35    5160   2019w42 |
     |------------------------------|
 36. |         36    5043   2018w18 |
 37. |         37    5002   2019w19 |
 38. |         38    4979   2019w10 |
 39. |         39    4880   2019w16 |
 40. |         40    4832   2019w50 |
     |------------------------------|
 41. |         41    4820   2018w17 |
 42. |         42    4817   2019w18 |
 43. |         43    4816   2019w44 |
 44. |         44    4753   2019w45 |
 45. |         45    4726    2019w9 |
     |------------------------------|
 46. |         46    4701   2019w41 |
 47. |         47    4695   2019w14 |
 48. |         48    4693   2019w21 |
 49. |         49    4690   2019w12 |
 50. |         50    4685   2018w19 |
     |------------------------------|
 51. |         51    4684   2018w26 |
 52. |         52    4672   2019w26 |
 53. |         53    4650   2019w49 |
 54. |         54    4629   2019w25 |
 55. |         55    4606   2018w47 |
     |------------------------------|
 56. |         56    4597   2019w23 |
 57. |         57    4584    2019w1 |
 58. |         58    4582    2019w4 |
 59. |         59    4574   2018w25 |
 60. |         60    4508   2018w39 |
     |------------------------------|
 61. |         61    4505    2019w6 |
 62. |         62    4473   2018w23 |
 63. |         63    4462   2019w28 |
 64. |         64    4449   2018w16 |
 65. |         65    4431   2018w20 |
     |------------------------------|
 66. |         66    4424   2018w42 |
 67. |         67    4408    2019w5 |
 68. |         68    4386   2018w43 |
 69. |         69    4382   2019w38 |
 70. |         70    4377   2019w30 |
     |------------------------------|
 71. |         71    4367   2018w27 |
 72. |         72    4348   2019w39 |
 73. |         73    4342   2019w22 |
 74. |         74    4325   2018w40 |
 75. |         75    4314    2019w8 |
     |------------------------------|
 76. |         76    4295   2019w11 |
 77. |         77    4277   2018w29 |
 78. |         78    4260   2019w17 |
 79. |         79    4259    2019w7 |
 80. |         80    4248   2018w22 |
     |------------------------------|
 81. |         81    4209   2019w40 |
 82. |         82    4199   2018w32 |
 83. |         83    4175   2018w45 |
 84. |         84    4109   2018w28 |
 85. |         85    4047   2018w46 |
     |------------------------------|
 86. |         86    4005   2019w37 |
 87. |         87    4005   2019w29 |
 88. |         88    3981   2018w41 |
 89. |         89    3965   2019w33 |
 90. |         90    3953   2018w24 |
     |------------------------------|
 91. |         91    3903   2018w21 |
 92. |         92    3882   2019w27 |
 93. |         93    3811   2019w34 |
 94. |         94    3809   2018w30 |
 95. |         95    3791   2018w48 |
     |------------------------------|
 96. |         96    3767   2018w33 |
 97. |         97    3763   2018w34 |
 98. |         98    3689   2018w50 |
 99. |         99    3687   2018w52 |
100. |        100    3683   2019w36 |
     |------------------------------|
101. |        101    3615   2018w51 |
102. |        102    3603   2019w31 |
103. |        103    3596   2018w49 |
104. |        104    3586   2018w37 |
105. |        105    3579   2019w35 |
     |------------------------------|
106. |        106    3536   2018w36 |
107. |        107    3489   2018w31 |
108. |        108    3346   2019w32 |
109. |        109    3321   2018w44 |
110. |        110    3186   2018w35 |
     +------------------------------+

tranthidung

legendary

Activity: 2310

Merit: 4085

Farewell o_e_l_e_o

Medians and means of intra-day merits over days of weeks ^{GMT time}
Colors:

Green: highest.
Red: Lowest.

- In median, the highest days are Tuesday, Friday, and Thursday at 702, 696, and 696, respectively; whislt the lowest days are Saturday, Sunday, and Monday at 600, 622, and 661, respectively.
- In means, the highest days are Thursday, Friday, and Tuesday at 919, 857, and 817, respectively; whilst the lowest days are Sunday, Saturday, and Monday, at 700, 711, and 784, respectively.

Basic statistics:

Code:

Summary for variables: merit
   by categories of: dofw

   dofw | N mean sd p50 p25 p75 min max
----------+--------------------------------------------------------------------------------
   Sunday | 110.0 699.2 367.0 621.5 495.0 764.0 300.0 3240.0
   Monday | 110.0 783.2 452.6 660.5 557.0 859.0 370.0 3343.0
  Tuesday | 110.0 816.8 494.2 702.0 592.0 871.0 339.0 3826.0
Wednesday | 110.0 785.4 449.9 661.5 599.0 836.0 347.0 4103.0
Thursday | 110.0 918.6 1253.7 695.5 576.0 824.0 411.0 12676.0
   Friday | 110.0 856.6 780.2 696.0 561.0 837.0 373.0 6348.0
Saturday | 110.0 710.3 482.2 599.5 501.0 736.0 375.0 4627.0
----------+--------------------------------------------------------------------------------
   Total | 770.0 795.7 677.2 662.5 554.0 823.0 300.0 12676.0
-------------------------------------------------------------------------------------------

Box plots
Outliers displayed as red circles.

Outliers non-displayed.

Details on ranks:
In medians

Code:

+----------------------------------------------------------------------+
   | rankmedian dofw median mean p25 p75 min max |
   |----------------------------------------------------------------------|
  1. | 1 Tuesday 702 816.8273 592 871 339 3826 |
  2. | 2 Friday 696 856.6 561 837 373 6348 |
  3. | 3 Thursday 695.5 918.5818 576 824 411 12676 |
  4. | 4 Wednesday 661.5 785.3727 599 836 347 4103 |
  5. | 5 Monday 660.5 783.1545 557 859 370 3343 |
   |----------------------------------------------------------------------|
  6. | 6 Sunday 621.5 699.2182 495 764 300 3240 |
  7. | 7 Saturday 599.5 710.2545 501 736 375 4627 |
   +----------------------------------------------------------------------+

In means

Code:

+--------------------------------------------------------------------+
   | rankmean dofw mean median p25 p75 min max |
   |--------------------------------------------------------------------|
  1. | 1 Thursday 918.5818 695.5 576 824 411 12676 |
  2. | 2 Friday 856.6 696 561 837 373 6348 |
  3. | 3 Tuesday 816.8273 702 592 871 339 3826 |
  4. | 4 Wednesday 785.3727 661.5 599 836 347 4103 |
  5. | 5 Monday 783.1545 660.5 557 859 370 3343 |
   |--------------------------------------------------------------------|
  6. | 6 Saturday 710.2545 599.5 501 736 375 4627 |
  7. | 7 Sunday 699.2182 621.5 495 764 300 3240 |
   +--------------------------------------------------------------------+

tranthidung

legendary

Activity: 2310

Merit: 4085

Farewell o_e_l_e_o

During the period from 24/1/2018 to 18/2/2020 (last 3 days dropped due to incomplete week, 2020w10 and an incomplete day - dayid = 773), 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:

Code:

+-----------------------------------------------------------------------------+
| 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:

Code:

+-----------------------------------------------------------------------------+
| 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. | 13 378 567 13aug2019 Tuesday 2019w33 2019m8 2019 |
14. | 14 378 566 12aug2019 Monday 2019w32 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. | 23 401 288 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. | 29 409 123 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. | 49 442 342 31dec2018 Monday 2018w52 2018m12 2018 |
50. | 50 442 278 28oct2018 Sunday 2018w43 2018m10 2018 |
+-----------------------------------------------------------------------------+

tranthidung

legendary

Activity: 2310

Merit: 4085

Farewell o_e_l_e_o

Time-series plots:
Full dataset:

Truncated dataset:

Basic statistics (for full dataset):
Only drop last 3 days that belong to the 2020w8 (daydi = 757, 758), the incomplete week & incomlete day (dayid = 759).

Code:

variable | N mean sd p50 p25 p75 min max
-------------+--------------------------------------------------------------------------------
merit | 770 795.7156 677.219 662.5 554 823 300 12676
----------------------------------------------------------------------------------------------

Applied formulas in previous weeks, potential outliers are days have intra-day merits beyond 151 or 1227.

Code:

. di 823-554
269

. di 269*1.5
403.5

. di 823+403.5
1226.5

. di 554-403.5
150.5

There are 53 outliers (beyond 1227 or 151) in full dataset, in total.

Code:

. count if (merit >= 1227 | merit <= 151) & merit != .
53

Those days are:

Code:

+---------------------------+
   | 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 |
57. | 57 1390 21mar2018 |
237. | 237 2553 17sep2018 |
238. | 238 1807 18sep2018 |
239. | 239 1347 19sep2018 |
   |---------------------------|
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: 39 (73.6%)
2019: 13 (24.5%)
2020: 1 (1.9%)

tranthidung

legendary

Activity: 2310

Merit: 4085

Farewell o_e_l_e_o

I am sorry for the lack of update last week. Today, I came back to do it but unfortunately theymos already dumped merit dataset for a new week.

Hence, I skipped the previous week and below is update for the new week.
Converted dataset:

In 2020 ^{at 06mar2020 02:51:54 (GMT time)}
The last one, with dayid = 773 is an incomplete day.

Code:

+-----------------------------------------------------------------+
   | 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 72 Friday 2020w10 2020m3 2020 |
   +-----------------------------------------------------------------+

tranthidung

legendary

Activity: 2310

Merit: 4085

Farewell o_e_l_e_o

ABSTRACT ^{2020w7, GMT time}
Data is the full dataset since 24/1/2018, and only dropped last 3 days belong to incomplete week - 2020w8 and an incomplete day (dayid = 759). Details on days dropped, please see above posts.

Intra-day merits:

Total observed days: 756
Potential outliers are days that have intraday total merits beyond 156 or 1216
Median of intraday merits over the period is 661
50% of observed days have their intra-day merits range from 553 to 818 (the interquartile range)
In medians, the highest and lowest days are Tuesday and Saturday, respectively; whilst the highest and lowest days in means are Thursday and Sunday, respectively. See here.
There are 55 potential outliers (beyond 156 or 1216) 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: 108
The median of intra-week merits is 4591
50% of observed weeks (108 weeks in total), have total merits in the range from 4142 to 5595 (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 1913 or 7769], only 2 of them occurred in the year 2019, on 2019w46 (11070), and 2019w47 (20397).

tranthidung

legendary

Activity: 2310

Merit: 4085

Farewell o_e_l_e_o

Intra-week merits (from 24/1/2018 to 18/2/2020)
Last 3 days dropped due to incomplete week (2020w8) and an incomplete day (dayid = 759)

Converted dataset:

Code:

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

Time series plot
Plot will be updated later.

Basic statistics:
- 50% of observed weeks (108 weeks) have total intra-week merits above 4591, whilst the rest 50% of them have total intra-week merits below 4591. 4591 is the median - p50.
- 50% of observed weeks have total intra-week merits fluctuated in the range from 4142 to 5585 (the interquartile range, from p25 to p75, in raw statistics below).
- Min - max: 3186 - 27920.

Code:

variable | N mean sd p50 p25 p75 min max
-------------+--------------------------------------------------------------------------------
merit | 108.0 5566.2 3489.5 4590.5 4142.0 5584.5 3186.0 27920.0
----------------------------------------------------------------------------------------------

Potential outliers:

Code:

. di 5584.5-4142
1442.5

. di 1442.5*1.5
2163.75

. di 5584.5+2163.75
7748.25

. di 4142-2163.75
1978.25

It means that potential outliers are weeks that have intra-week merits beyond 1979 or 7749.
How many weeks are potential outliers?

Code:

. count if (merit >= 7749 | merit < 1979) & merit != .
9

9 weeks are outliers, in total.
List of those 9 weeks:

Code:

+-----------------+
   | 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).

List of weeks in descending weekly merits
The last week (with 6923 merits) stays at the 15^th position, among 108 weeks.

Code:

+------------------------------+
   | 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 6271 2019w48 |
   |------------------------------|
21. | 21 6102 2019w2 |
22. | 22 6066 2019w51 |
23. | 23 5946 2018w15 |
24. | 24 5776 2019w3 |
25. | 25 5745 2020w1 |
   |------------------------------|
26. | 26 5728 2019w13 |
27. | 27 5596 2019w20 |
28. | 28 5573 2020w6 |
29. | 29 5395 2020w2 |
30. | 30 5375 2019w43 |
   |------------------------------|
31. | 31 5373 2019w24 |
32. | 32 5253 2019w15 |
33. | 33 5160 2019w42 |
34. | 34 5043 2018w18 |
35. | 35 5002 2019w19 |
   |------------------------------|
36. | 36 4979 2019w10 |
37. | 37 4880 2019w16 |
38. | 38 4832 2019w50 |
39. | 39 4820 2018w17 |
40. | 40 4817 2019w18 |
   |------------------------------|
41. | 41 4816 2019w44 |
42. | 42 4753 2019w45 |
43. | 43 4726 2019w9 |
44. | 44 4701 2019w41 |
45. | 45 4695 2019w14 |
   |------------------------------|
46. | 46 4693 2019w21 |
47. | 47 4690 2019w12 |
48. | 48 4685 2018w19 |
49. | 49 4684 2018w26 |
50. | 50 4672 2019w26 |
   |------------------------------|
51. | 51 4650 2019w49 |
52. | 52 4629 2019w25 |
53. | 53 4606 2018w47 |
54. | 54 4597 2019w23 |
55. | 55 4584 2019w1 |
   |------------------------------|
56. | 56 4582 2019w4 |
57. | 57 4574 2018w25 |
58. | 58 4508 2018w39 |
59. | 59 4505 2019w6 |
60. | 60 4473 2018w23 |
   |------------------------------|
61. | 61 4462 2019w28 |
62. | 62 4449 2018w16 |
63. | 63 4431 2018w20 |
64. | 64 4424 2018w42 |
65. | 65 4408 2019w5 |
   |------------------------------|
66. | 66 4386 2018w43 |
67. | 67 4382 2019w38 |
68. | 68 4377 2019w30 |
69. | 69 4367 2018w27 |
70. | 70 4348 2019w39 |
   |------------------------------|
71. | 71 4342 2019w22 |
72. | 72 4325 2018w40 |
73. | 73 4314 2019w8 |
74. | 74 4295 2019w11 |
75. | 75 4277 2018w29 |
   |------------------------------|
76. | 76 4260 2019w17 |
77. | 77 4259 2019w7 |
78. | 78 4248 2018w22 |
79. | 79 4209 2019w40 |
80. | 80 4199 2018w32 |
   |------------------------------|
81. | 81 4175 2018w45 |
82. | 82 4109 2018w28 |
83. | 83 4047 2018w46 |
84. | 84 4005 2019w37 |
85. | 85 4005 2019w29 |
   |------------------------------|
86. | 86 3981 2018w41 |
87. | 87 3965 2019w33 |
88. | 88 3953 2018w24 |
89. | 89 3903 2018w21 |
90. | 90 3882 2019w27 |
   |------------------------------|
91. | 91 3811 2019w34 |
92. | 92 3809 2018w30 |
93. | 93 3791 2018w48 |
94. | 94 3767 2018w33 |
95. | 95 3763 2018w34 |
   |------------------------------|
96. | 96 3689 2018w50 |
97. | 97 3687 2018w52 |
98. | 98 3683 2019w36 |
99. | 99 3615 2018w51 |
100. | 100 3603 2019w31 |
   |------------------------------|
101. | 101 3596 2018w49 |
102. | 102 3586 2018w37 |
103. | 103 3579 2019w35 |
104. | 104 3536 2018w36 |
105. | 105 3489 2018w31 |
   |------------------------------|
106. | 106 3346 2019w32 |
107. | 107 3321 2018w44 |
108. | 108 3186 2018w35 |
   +------------------------------+

tranthidung

legendary

Activity: 2310

Merit: 4085

Farewell o_e_l_e_o

Medians and means of intra-day merits over days of weeks ^{GMT time}
Colors:

Green: highest.
Red: Lowest.

- In median, the highest days are Tuesday, Friday, and Thursday at 702, 696, and 692, respectively; whislt the lowest days are Saturday, Sunday, and Wednesday at 597, 615, and 656, respectively.
- In means, the highest days are Thursday, Friday, and Tuesday at 920, 857, and 817, respectively; whilst the lowest days are Sunday, Saturday, and Monday, at 700, 711, and 781, respectively.

Basic statistics:

Code:

Summary for variables: merit
   by categories of: dofw

   dofw | N mean sd p50 p25 p75 min max
----------+--------------------------------------------------------------------------------
   Sunday | 108.0 699.4 370.4 614.5 493.5 770.5 300.0 3240.0
   Monday | 108.0 781.1 456.1 659.0 555.0 854.5 370.0 3343.0
  Tuesday | 108.0 816.6 498.3 702.0 592.0 871.0 339.0 3826.0
Wednesday | 108.0 782.7 453.6 656.0 597.5 828.0 347.0 4103.0
Thursday | 108.0 919.5 1265.3 692.0 574.5 820.5 411.0 12676.0
   Friday | 108.0 856.5 787.0 696.0 561.0 834.0 373.0 6348.0
Saturday | 108.0 710.5 486.7 597.0 501.0 738.5 375.0 4627.0
----------+--------------------------------------------------------------------------------
   Total | 756.0 795.2 683.2 661.0 553.0 818.0 300.0 12676.0
-------------------------------------------------------------------------------------------

Box plots
Plots will be updated later.
Outliers displayed as red circles.

]

Outliers non-displayed.

Details on ranks:
In medians

Code:

+--------------------------------------------------------------------------+
   | rankmedian dofw median mean p25 p75 min max |
   |--------------------------------------------------------------------------|
  1. | 1 Tuesday 702 816.5648 592 871 339 3826 |
  2. | 2 Friday 696 856.463 561 834 373 6348 |
  3. | 3 Thursday 692 919.463 574.5 820.5 411 12676 |
  4. | 4 Monday 659 781.0648 555 854.5 370 3343 |
  5. | 5 Wednesday 656 782.6852 597.5 828 347 4103 |
   |--------------------------------------------------------------------------|
  6. | 6 Sunday 614.5 699.4352 493.5 770.5 300 3240 |
  7. | 7 Saturday 597 710.5278 501 738.5 375 4627 |
   +--------------------------------------------------------------------------+

In means

Code:

+------------------------------------------------------------------------+
   | rankmean dofw mean median p25 p75 min max |
   |------------------------------------------------------------------------|
  1. | 1 Thursday 919.463 692 574.5 820.5 411 12676 |
  2. | 2 Friday 856.463 696 561 834 373 6348 |
  3. | 3 Tuesday 816.5648 702 592 871 339 3826 |
  4. | 4 Wednesday 782.6852 656 597.5 828 347 4103 |
  5. | 5 Monday 781.0648 659 555 854.5 370 3343 |
   |------------------------------------------------------------------------|
  6. | 6 Saturday 710.5278 597 501 738.5 375 4627 |
  7. | 7 Sunday 699.4352 614.5 493.5 770.5 300 3240 |
   +------------------------------------------------------------------------+

tranthidung

legendary

Activity: 2310

Merit: 4085

Farewell o_e_l_e_o

During the period from 24/1/2018 to 18/2/2020 (last 3 days dropped due to incomplete week, 2020w8 and an incomplete day - dayid = 759), 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:

Code:

+-----------------------------------------------------------------------------+
   | 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:

Code:

+-----------------------------------------------------------------------------+
   | 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. | 13 378 566 12aug2019 Monday 2019w32 2019m8 2019 |
14. | 14 378 305 24nov2018 Saturday 2018w47 2018m11 2018 |
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. | 23 401 288 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. | 37 426 230 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. | 47 441 404 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 |
   +-----------------------------------------------------------------------------+

tranthidung

legendary

Activity: 2310

Merit: 4085

Farewell o_e_l_e_o

Time-series plots:
Plots will be updated later.
Full dataset:

Truncated dataset:

Basic statistics (for full dataset):
Only drop last 3 days that belong to the 2020w8 (daydi = 757, 758), the incomplete week & incomlete day (dayid = 759).

Code:

variable | N mean sd p50 p25 p75 min max
-------------+--------------------------------------------------------------------------------
merit | 756 795.172 683.1655 661 553 818 300 12676
----------------------------------------------------------------------------------------------

Applied formulas in previous weeks, potential outliers are days have intra-day merits beyond 156 or 1216.

Code:

. di 818-553
265

. di 265*1.5
397.5

. di 818+397.5
1215.5

. di 553-397.5
155.5

There are 55 outliers (beyond 1216 or 156) in full dataset, in total.

Code:

. count if (merit >= 1216 | merit <= 156) & merit != .
55

Those days are:

Code:

+---------------------------+
| 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%)

tranthidung

legendary

Activity: 2310

Merit: 4085

Farewell o_e_l_e_o

Converted dataset:

In 2020 ^{at 21feb2020 02:41:29 (GMT time)}
The last one, with dayid = 759 is an incomplete day.

Code:

+----------------------------------------------------------------+
| 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 129 Friday 2020w8 2020m2 2020 |
+----------------------------------------------------------------+

tranthidung

legendary

Activity: 2310

Merit: 4085

Farewell o_e_l_e_o

ABSTRACT ^{2020w6, GMT time}
Data is the full dataset since 24/1/2018, and only dropped last 3 days belong to incomplete week - 2020w7 and an incomplete day (dayid = 752). Details on days dropped, please see above posts.

Intra-day merits:

Total observed days: 749
Potential outliers are days that have intraday total merits beyond 165 or 1201
Median of intraday merits over the period is 660
50% of observed days have their intra-day merits range from 553 to 812 (the interquartile range)
In medians, the highest and lowest days are Tuesday and Saturday, respectively; whilst the highest and lowest days in means are Thursday and Sunday, respectively. See here.
There are 56 potential outliers (beyond 165 or 1201) in total.
The distribution of outliers over years are: 42 (75%) for 2018, 14 (25%) for 2019, and 0 (0%) 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: 107
The median of intra-week merits is 4584
50% of observed weeks (107 weeks in total), have total merits in the range from 4109 to 5573 (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 1913 or 7769], only 2 of them occurred in the year 2019, on 2019w46 (11070), and 2019w47 (20397).

tranthidung

legendary

Activity: 2310

Merit: 4085

Farewell o_e_l_e_o

Intra-week merits (from 24/1/2018 to 11/2/2020)
Last 3 days dropped due to incomplete week (2020w7) and an incomplete day (dayid = 752)

Converted dataset:

Code:

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

Time series plot

Basic statistics:
- 50% of observed weeks (107 weeks) have total intra-week merits above 4584, whilst the rest 50% of them have total intra-week merits below 4584. 4584 is the median - p50.
- 50% of observed weeks have total intra-week merits fluctuated in the range from 4109 to 5573 (the interquartile range, from p25 to p75, in raw statistics below).
- Min - max: 3186 - 27920.

Code:

variable | N mean sd p50 p25 p75 min max
-------------+--------------------------------------------------------------------------------
merit | 107.0 5553.5 3503.4 4584.0 4109.0 5573.0 3186.0 27920.0
----------------------------------------------------------------------------------------------

Potential outliers:

Code:

. di 5573-4109
1464

. di 1464*1.5
2196

. di 5573+2196
7769

. di 4109-2196
1913

It means that potential outliers are weeks that have intra-week merits beyond 1913 or 7769.
How many weeks are potential outliers?

Code:

. count if (merit >= 7769 | merit < 1913) & merit != .
9

9 weeks are outliers, in total.
List of those 9 weeks:

Code:

+-----------------+
   | 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).

List of weeks in descending weekly merits
The last week (with 5573 merits) stays at the 27^th position, among 105 weeks.

Code:

+------------------------------+
   | 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 6756 2020w5 |
   |------------------------------|
16. | 16 6646 2020w4 |
17. | 17 6542 2018w14 |
18. | 18 6392 2018w13 |
19. | 19 6271 2019w48 |
20. | 20 6102 2019w2 |
   |------------------------------|
21. | 21 6066 2019w51 |
22. | 22 5946 2018w15 |
23. | 23 5776 2019w3 |
24. | 24 5745 2020w1 |
25. | 25 5728 2019w13 |
   |------------------------------|
26. | 26 5596 2019w20 |
27. | 27 5573 2020w6 |
28. | 28 5395 2020w2 |
29. | 29 5375 2019w43 |
30. | 30 5373 2019w24 |
   |------------------------------|
31. | 31 5253 2019w15 |
32. | 32 5160 2019w42 |
33. | 33 5043 2018w18 |
34. | 34 5002 2019w19 |
35. | 35 4979 2019w10 |
   |------------------------------|
36. | 36 4880 2019w16 |
37. | 37 4832 2019w50 |
38. | 38 4820 2018w17 |
39. | 39 4817 2019w18 |
40. | 40 4816 2019w44 |
   |------------------------------|
41. | 41 4753 2019w45 |
42. | 42 4726 2019w9 |
43. | 43 4701 2019w41 |
44. | 44 4695 2019w14 |
45. | 45 4693 2019w21 |
   |------------------------------|
46. | 46 4690 2019w12 |
47. | 47 4685 2018w19 |
48. | 48 4684 2018w26 |
49. | 49 4672 2019w26 |
50. | 50 4650 2019w49 |
   |------------------------------|
51. | 51 4629 2019w25 |
52. | 52 4606 2018w47 |
53. | 53 4597 2019w23 |
54. | 54 4584 2019w1 |
55. | 55 4582 2019w4 |
   |------------------------------|
56. | 56 4574 2018w25 |
57. | 57 4508 2018w39 |
58. | 58 4505 2019w6 |
59. | 59 4473 2018w23 |
60. | 60 4462 2019w28 |
   |------------------------------|
61. | 61 4449 2018w16 |
62. | 62 4431 2018w20 |
63. | 63 4424 2018w42 |
64. | 64 4408 2019w5 |
65. | 65 4386 2018w43 |
   |------------------------------|
66. | 66 4382 2019w38 |
67. | 67 4377 2019w30 |
68. | 68 4367 2018w27 |
69. | 69 4348 2019w39 |
70. | 70 4342 2019w22 |
   |------------------------------|
71. | 71 4325 2018w40 |
72. | 72 4314 2019w8 |
73. | 73 4295 2019w11 |
74. | 74 4277 2018w29 |
75. | 75 4260 2019w17 |
   |------------------------------|
76. | 76 4259 2019w7 |
77. | 77 4248 2018w22 |
78. | 78 4209 2019w40 |
79. | 79 4199 2018w32 |
80. | 80 4175 2018w45 |
   |------------------------------|
81. | 81 4109 2018w28 |
82. | 82 4047 2018w46 |
83. | 83 4005 2019w37 |
84. | 84 4005 2019w29 |
85. | 85 3981 2018w41 |
   |------------------------------|
86. | 86 3965 2019w33 |
87. | 87 3953 2018w24 |
88. | 88 3903 2018w21 |
89. | 89 3882 2019w27 |
90. | 90 3811 2019w34 |
   |------------------------------|
91. | 91 3809 2018w30 |
92. | 92 3791 2018w48 |
93. | 93 3767 2018w33 |
94. | 94 3763 2018w34 |
95. | 95 3689 2018w50 |
   |------------------------------|
96. | 96 3687 2018w52 |
97. | 97 3683 2019w36 |
98. | 98 3615 2018w51 |
99. | 99 3603 2019w31 |
100. | 100 3596 2018w49 |
   |------------------------------|
101. | 101 3586 2018w37 |
102. | 102 3579 2019w35 |
103. | 103 3536 2018w36 |
104. | 104 3489 2018w31 |
105. | 105 3346 2019w32 |
   |------------------------------|
106. | 106 3321 2018w44 |
107. | 107 3186 2018w35 |
   +------------------------------+

tranthidung

legendary

Activity: 2310

Merit: 4085

Farewell o_e_l_e_o

Medians and means of intra-day merits over days of weeks ^{GMT time}
Colors:

Green: highest.
Red: Lowest.

- In median, the highest days are Tuesday, Friday, and Thursday at 700, 695, and 690, respectively; whislt the lowest days are Saturday, Sunday, and Wednesday at 596, 613, and 656, respectively.
- In means, the highest days are Thursday, Friday, and Tuesday at 919, 855, and 813, respectively; whilst the lowest days are Sunday, Saturday, and Monday, at 699, 709, and 776, respectively.

Basic statistics:

Code:

Summary for variables: merit
   by categories of: dofw

   dofw | N mean sd p50 p25 p75 min max
----------+--------------------------------------------------------------------------------
   Sunday | 107.0 698.6 372.0 613.0 492.0 764.0 300.0 3240.0
   Monday | 107.0 775.6 454.7 659.0 553.0 850.0 370.0 3343.0
  Tuesday | 107.0 813.0 499.3 700.0 592.0 871.0 339.0 3826.0
Wednesday | 107.0 784.4 455.3 656.0 599.0 832.0 347.0 4103.0
Thursday | 107.0 918.3 1271.2 690.0 573.0 817.0 411.0 12676.0
   Friday | 107.0 854.7 790.5 695.0 561.0 831.0 373.0 6348.0
Saturday | 107.0 708.9 488.7 596.0 501.0 736.0 375.0 4627.0
----------+--------------------------------------------------------------------------------
   Total | 749.0 793.4 685.7 660.0 553.0 812.0 300.0 12676.0
-------------------------------------------------------------------------------------------

Box plots
Outliers displayed as red circles.

]

Outliers non-displayed.

Details on ranks:
In medians

Code:

+----------------------------------------------------------------------+
   | rankmedian dofw median mean p25 p75 min max |
   |----------------------------------------------------------------------|
  1. | 1 Tuesday 700 813.028 592 871 339 3826 |
  2. | 2 Friday 695 854.7383 561 831 373 6348 |
  3. | 3 Thursday 690 918.2711 573 817 411 12676 |
  4. | 4 Monday 659 775.6168 553 850 370 3343 |
  5. | 5 Wednesday 656 784.4299 599 832 347 4103 |
   |----------------------------------------------------------------------|
  6. | 6 Sunday 613 698.5888 492 764 300 3240 |
  7. | 7 Saturday 596 708.8505 501 736 375 4627 |
   +----------------------------------------------------------------------+

In means

Code:

+--------------------------------------------------------------------+
   | rankmean dofw mean median p25 p75 min max |
   |--------------------------------------------------------------------|
  1. | 1 Thursday 918.2711 690 573 817 411 12676 |
  2. | 2 Friday 854.7383 695 561 831 373 6348 |
  3. | 3 Tuesday 813.028 700 592 871 339 3826 |
  4. | 4 Wednesday 784.4299 656 599 832 347 4103 |
  5. | 5 Monday 775.6168 659 553 850 370 3343 |
   |--------------------------------------------------------------------|
  6. | 6 Saturday 708.8505 596 501 736 375 4627 |
  7. | 7 Sunday 698.5888 613 492 764 300 3240 |
   +--------------------------------------------------------------------+

tranthidung

legendary

Activity: 2310

Merit: 4085

Farewell o_e_l_e_o

During the period from 24/1/2018 to 11/2/2020 (last 3 days dropped due to incomplete week, 2020w7 and an incomplete day - dayid = 752), 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:

Code:

+-----------------------------------------------------------------------------+
   | 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 1347 239 19sep2018 Wednesday 2018w38 2018m9 2018 |
43. | 43 1345 38 02mar2018 Friday 2018w9 2018m3 2018 |
44. | 44 1334 18 10feb2018 Saturday 2018w6 2018m2 2018 |
45. | 45 1316 49 13mar2018 Tuesday 2018w11 2018m3 2018 |
   |-----------------------------------------------------------------------------|
46. | 46 1302 36 28feb2018 Wednesday 2018w9 2018m2 2018 |
47. | 47 1289 21 13feb2018 Tuesday 2018w7 2018m2 2018 |
48. | 48 1289 27 19feb2018 Monday 2018w8 2018m2 2018 |
49. | 49 1277 30 22feb2018 Thursday 2018w8 2018m2 2018 |
50. | 50 1249 31 23feb2018 Friday 2018w8 2018m2 2018 |
   +-----------------------------------------------------------------------------+

List of the top 50-lowest days in terms of intra-day merits:

Code:

+-----------------------------------------------------------------------------+
   | 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. | 13 378 566 12aug2019 Monday 2019w32 2019m8 2019 |
14. | 14 378 305 24nov2018 Saturday 2018w47 2018m11 2018 |
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. | 23 401 288 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. | 29 409 123 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. | 47 441 319 08dec2018 Saturday 2018w49 2018m12 2018 |
48. | 48 441 404 03mar2019 Sunday 2019w9 2019m3 2019 |
49. | 49 442 278 28oct2018 Sunday 2018w43 2018m10 2018 |
50. | 50 442 342 31dec2018 Monday 2018w52 2018m12 2018 |
   +-----------------------------------------------------------------------------+

tranthidung

legendary

Activity: 2310

Merit: 4085

Farewell o_e_l_e_o

Time-series plots:
Full dataset:

Truncated dataset:

Basic statistics (for full dataset):
Only drop last 3 days that belong to the 2020w7 (daydi = 750, 751), the incomplete week & incomlete day (dayid = 752).

Code:

variable | N mean sd p50 p25 p75 min max
-------------+--------------------------------------------------------------------------------
merit | 749 793.3605 685.7131 660 553 812 300 12676
----------------------------------------------------------------------------------------------

Applied formulas in previous weeks, potential outliers are days have intra-day merits beyond 165 or 1201.

Code:

. di 812-553
259

. di 259*1.5
388.5

. di 812+388.5
1200.5

. di 553-388.5
164.5

There are 56 outliers (beyond 1202 or 162) in full dataset, in total.

Code:

. count if (merit >= 1201 | merit <= 165) & merit != .
56

Those days are:

Code:

+---------------------------+
   | 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 |
58. | 58 1211 22mar2018 |
237. | 237 2553 17sep2018 |
238. | 238 1807 18sep2018 |
239. | 239 1347 19sep2018 |
240. | 240 1221 20sep2018 |
   |---------------------------|
429. | 429 1247 28mar2019 |
476. | 476 1215 14may2019 |
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 |
   +---------------------------+

Distributions of outliers over years:

2018: 42 (75%)
2019: 14 (25%)
2020: 0 (0%)

tranthidung

legendary

Activity: 2310

Merit: 4085

Farewell o_e_l_e_o

Converted dataset:

In 2020 ^{at 14feb2020 02:37:50 (GMT time)}
The last one, with dayid = 752 is an incomplete day.

Code:

+----------------------------------------------------------------+
| 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 122 Friday 2020w7 2020m2 2020 |
+----------------------------------------------------------------+

tranthidung

legendary

Activity: 2310

Merit: 4085

Farewell o_e_l_e_o

ABSTRACT ^{2020w4, GMT time}
Data is the full dataset since 24/1/2018, and only dropped last 3 days belong to incomplete week - 2020w6 and an incomplete day (dayid = 745). Details on days dropped, please see above posts.

Intra-day merits:

Total observed days: 742
Potential outliers are days that have intraday total merits beyond 162 or 1202
Median of intraday merits over the period is 659
50% of observed days have their intra-day merits range from 552 to 812 (the interquartile range)
In medians, the highest and lowest days are Tuesday and Saturday, respectively; whilst the highest and lowest days in means are Thursday and Sunday, respectively. See here.
There are 56 potential outliers (beyond 168 or 1186) in total.
The distribution of outliers over years are: 42 (75%) for 2018, 14 (25%) for 2019, and 0 (0%) 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: 106
The median of intra-week merits is 4583
50% of observed weeks (106 weeks in total), have total merits in the range from 4109 to 5395 (the interquartile range of intra-week merits).
Minimum and maximum of intra-week merits are 3186 and 27920, in 2018w35, and 2018w4, respectively;
10 potential outliers [beyond 2180 or 7324], only 2 of them occurred in the year 2019, on 2019w46 (11070), and 2019w47 (20397).

Intra-month merits:

25 months in total.
The median of intra-month merits is 20698
50% of observed months (25 months in total), have total merits in the range from 18286 to 23482 (the interquartile range of intra-month merits).
Minimum and maximum of intra-month merits are 15609 and 48374, in 2018m12, and 2018m2, respectively
4 potential outliers [beyond 10492 or 31276], only 1 of them occurred in the year 2019, on 2019m11 (42976).

tranthidung

legendary

Activity: 2310

Merit: 4085

Farewell o_e_l_e_o

Intra-month merits (from 24/1/2018 to 31/01/2020)
There are days dropped in order to get data for entire month. Day with id > 738 dropped because those days belong to the incomplete February of 2020 (2020m2).

Converted dataset:

Code:

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

Time series plot
Plot will be updated later.

Basic statistics:
- 50% of observed months (25 months) have total intra-month merits above 20698, whilst the rest 50% of them have total intra-month merits below 20698. 20698 is the median - p50.
- 50% of observed months have total intra-month merits fluctuated in the range from 18286 to 23482 (the interquartile range, from p25 to p75, in raw statistics below).
- Min - max: 15609 - 48374.

Code:

variable | N mean sd p50 p25 p75 min max
-------------+--------------------------------------------------------------------------------
merit | 25 23405.84 8546.233 20698 18286 23482 15609 48374
----------------------------------------------------------------------------------------------

Potential outliers:

Code:

. di 23482-18286
5196

. di 5196*1.5
7794

. di 23482+7794
31276

. di 18286-7794
10492

It means that potential outliers are months that have intra-month merits beyond 10492 or 31276.
How many months are potential outliers?

Code:

. count if (merit >= 31276 | merit <= 10492) & merit != .
4

4 months are outliers, in total.
List of those four months:

Code:

+-----------------+
   | merit month |
   |-----------------|
  1. | 39170 2018m1 |
  2. | 48374 2018m2 |
  3. | 32141 2018m3 |
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 (the last month) at 42976.

Topic: Time Series Analysis on Distributed Merits in the forum (daily, weekly, monthly) - page 10. (Read 29462 times)