Interquartile range of intra-day merits with time series plot - page 2.

tranthidung

legendary

Activity: 2170

Merit: 3858

Farewell o_e_l_e_o

Update:

Time series plot of median and interquartile range

Dataset for median, interquartile range of intraday merits

Code:

. list week median q1 q3 merit

+------------------------------------------+
| week median q1 q3 merit |
|------------------------------------------|
1. | 2018w26 733 609 991 4457 |
2. | 2018w27 715 598 979 4253 |
3. | 2018w28 707 592 963 4239 |
4. | 2018w29 693 589 922 4159 |
5. | 2018w30 684 577 902 3652 |
|------------------------------------------|
6. | 2018w31 682 575 891 3798 |
7. | 2018w32 675 567 880 3994 |
8. | 2018w33 667 559 867 3618 |
9. | 2018w34 652 555 848 3789 |
10. | 2018w35 642 537 844 3065 |
|------------------------------------------|
11. | 2018w36 639 528 838 3574 |
12. | 2018w37 634 528 829 5630 |
13. | 2018w38 641 530 846 7825 |
14. | 2018w39 640 531 839 4388 |
15. | 2018w40 639 528 829 4271 |
|------------------------------------------|
16. | 2018w41 637 528 808 3800 |
17. | 2018w42 639 530 807 4821 |
18. | 2018w43 639 528 801 3945 |
19. | 2018w44 628 521 796 3339 |
20. | 2018w45 630 522 789 4513 |
|------------------------------------------|
21. | 2018w46 626 521 786 3722 |
22. | 2018w47 626.5 521 782 4558 |
23. | 2018w48 626 521 774 3750 |
24. | 2018w49 621.5 517 773 3560 |
25. | 2018w50 619 517 768 3782 |
|------------------------------------------|
26. | 2018w51 618.5 515 766.5 3753 |
27. | 2018w52 616.5 509.5 762.5 3278 |
28. | 2019w1 616 510 766 4793 |
29. | 2019w2 618.5 513 773 6624 |
30. | 2019w3 620 514 774 5306 |
|------------------------------------------|
31. | 2019w4 621.5 516.5 770.5 4659 |
32. | 2019w5 620 516 773 4474 |
33. | 2019w6 619.5 517 768 4318 |
34. | 2019w7 618 519 767 4207 |
35. | 2019w8 618.5 518.5 766.5 4507 |
|------------------------------------------|
36. | 2019w9 619 518 766 4625 |
37. | 2019w10 623 521 764 4901 |
38. | 2019w11 623 521 761 4318 |
39. | 2019w12 625.5 521 759.5 4598 |
40. | 2019w13 626 522 764 6120 |
|------------------------------------------|
41. | 2019w14 626 523 760 4418 |
42. | 2019w15 628 526 761 5259 |
43. | 2019w16 630 528 762.5 4680 |
44. | 2019w17 628 528 761 4450 |
45. | 2019w18 628 528 761 4756 |
|------------------------------------------|
46. | 2019w19 632 530 761 5434 |
47. | 2019w20 636 531 765 5202 |
48. | 2019w21 636 531 764 4571 |
49. | 2019w22 637 531 760 4336 |
50. | 2019w23 636 531 760 4678 |
|------------------------------------------|
51. | 2019w24 638 532 763 5294 |
52. | 2019w25 638 532 761 4710 |
53. | 2019w26 638 531 761 4356 |
54. | 2019w27 637 531 760 4214 |
55. | 2019w28 637 530 760 4105 |

List of median, q1, q3 of intra-day merits over weeks, in descending orders of medians.

Code:

. list week median q1 q3 merit

+------------------------------------------+
| week median q1 q3 merit |
|------------------------------------------|
1. | 2019w1 616 510 766 4793 |
2. | 2018w52 616.5 509.5 762.5 3278 |
3. | 2019w7 618 519 767 4207 |
4. | 2018w51 618.5 515 766.5 3753 |
5. | 2019w8 618.5 518.5 766.5 4507 |
|------------------------------------------|
6. | 2019w2 618.5 513 773 6624 |
7. | 2018w50 619 517 768 3782 |
8. | 2019w9 619 518 766 4625 |
9. | 2019w6 619.5 517 768 4318 |
10. | 2019w3 620 514 774 5306 |
|------------------------------------------|
11. | 2019w5 620 516 773 4474 |
12. | 2019w4 621.5 516.5 770.5 4659 |
13. | 2018w49 621.5 517 773 3560 |
14. | 2019w11 623 521 761 4318 |
15. | 2019w10 623 521 764 4901 |
|------------------------------------------|
16. | 2019w12 625.5 521 759.5 4598 |
17. | 2019w13 626 522 764 6120 |
18. | 2018w48 626 521 774 3750 |
19. | 2019w14 626 523 760 4418 |
20. | 2018w46 626 521 786 3722 |
|------------------------------------------|
21. | 2018w47 626.5 521 782 4558 |
22. | 2019w17 628 528 761 4450 |
23. | 2019w18 628 528 761 4756 |
24. | 2018w44 628 521 796 3339 |
25. | 2019w15 628 526 761 5259 |
|------------------------------------------|
26. | 2018w45 630 522 789 4513 |
27. | 2019w16 630 528 762.5 4680 |
28. | 2019w19 632 530 761 5434 |
29. | 2018w37 634 528 829 5630 |
30. | 2019w23 636 531 760 4678 |
|------------------------------------------|
31. | 2019w20 636 531 765 5202 |
32. | 2019w21 636 531 764 4571 |
33. | 2019w22 637 531 760 4336 |
34. | 2019w28 637 530 760 4105 |
35. | 2019w27 637 531 760 4214 |
|------------------------------------------|
36. | 2018w41 637 528 808 3800 |
37. | 2019w25 638 532 761 4710 |
38. | 2019w26 638 531 761 4356 |
39. | 2019w24 638 532 763 5294 |
40. | 2018w42 639 530 807 4821 |
|------------------------------------------|
41. | 2018w40 639 528 829 4271 |
42. | 2018w43 639 528 801 3945 |
43. | 2018w36 639 528 838 3574 |
44. | 2018w39 640 531 839 4388 |
45. | 2018w38 641 530 846 7825 |
|------------------------------------------|
46. | 2018w35 642 537 844 3065 |
47. | 2018w34 652 555 848 3789 |
48. | 2018w33 667 559 867 3618 |
49. | 2018w32 675 567 880 3994 |
50. | 2018w31 682 575 891 3798 |
|------------------------------------------|
51. | 2018w30 684 577 902 3652 |
52. | 2018w29 693 589 922 4159 |
53. | 2018w28 707 592 963 4239 |
54. | 2018w27 715 598 979 4253 |
55. | 2018w26 733 609 991 4457 |

Data source:
- From LoyceV's weekly data dumps.
- From my converted datasets in the topic: Time Series Analysis on Distributed Merits in the forum (daily, weekly, monthly)

tranthidung

legendary

Activity: 2170

Merit: 3858

Farewell o_e_l_e_o

Update:

Time series plot of median and interquartile range

Dataset for median, interquartile range of intraday merits

Code:

. list week median q1 q3 merit

+------------------------------------------+
| week median q1 q3 merit |
|------------------------------------------|
1. | 2018w26 733 609 991 4457 |
2. | 2018w27 715 598 979 4253 |
3. | 2018w28 707 592 963 4239 |
4. | 2018w29 693 589 922 4159 |
5. | 2018w30 684 577 902 3652 |
|------------------------------------------|
6. | 2018w31 682 575 891 3798 |
7. | 2018w32 675 567 880 3994 |
8. | 2018w33 667 559 867 3618 |
9. | 2018w34 652 555 848 3789 |
10. | 2018w35 642 537 844 3065 |
|------------------------------------------|
11. | 2018w36 639 528 838 3574 |
12. | 2018w37 634 528 829 5630 |
13. | 2018w38 641 530 846 7825 |
14. | 2018w39 640 531 839 4388 |
15. | 2018w40 639 528 829 4271 |
|------------------------------------------|
16. | 2018w41 637 528 808 3800 |
17. | 2018w42 639 530 807 4821 |
18. | 2018w43 639 528 801 3945 |
19. | 2018w44 628 521 796 3339 |
20. | 2018w45 630 522 789 4513 |
|------------------------------------------|
21. | 2018w46 626 521 786 3722 |
22. | 2018w47 626.5 521 782 4558 |
23. | 2018w48 626 521 774 3750 |
24. | 2018w49 621.5 517 773 3560 |
25. | 2018w50 619 517 768 3782 |
|------------------------------------------|
26. | 2018w51 618.5 515 766.5 3753 |
27. | 2018w52 616.5 509.5 762.5 3278 |
28. | 2019w1 616 510 766 4793 |
29. | 2019w2 618.5 513 773 6624 |
30. | 2019w3 620 514 774 5306 |
|------------------------------------------|
31. | 2019w4 621.5 516.5 770.5 4659 |
32. | 2019w5 620 516 773 4474 |
33. | 2019w6 619.5 517 768 4318 |
34. | 2019w7 618 519 767 4207 |
35. | 2019w8 618.5 518.5 766.5 4507 |
|------------------------------------------|
36. | 2019w9 619 518 766 4625 |
37. | 2019w10 623 521 764 4901 |
38. | 2019w11 623 521 761 4318 |
39. | 2019w12 625.5 521 759.5 4598 |
40. | 2019w13 626 522 764 6120 |
|------------------------------------------|
41. | 2019w14 626 523 760 4418 |
42. | 2019w15 628 526 761 5259 |
43. | 2019w16 630 528 762.5 4680 |
44. | 2019w17 628 528 761 4450 |
45. | 2019w18 628 528 761 4756 |
|------------------------------------------|
46. | 2019w19 632 530 761 5434 |
47. | 2019w20 636 531 765 5202 |
48. | 2019w21 636 531 764 4571 |
49. | 2019w22 637 531 760 4336 |
50. | 2019w23 636 531 760 4678 |
|------------------------------------------|
51. | 2019w24 638 532 763 5294 |
52. | 2019w25 638 532 761 4710 |
53. | 2019w26 638 531 761 4356 |
54. | 2019w27 637 531 760 4214 |

List of median, q1, q3 of intra-day merits over weeks, in descending orders of medians.

Code:

. list week median q1 q3 merit

+------------------------------------------+
| week median q1 q3 merit |
|------------------------------------------|
1. | 2019w1 616 510 766 4793 |
2. | 2018w52 616.5 509.5 762.5 3278 |
3. | 2019w7 618 519 767 4207 |
4. | 2018w51 618.5 515 766.5 3753 |
5. | 2019w8 618.5 518.5 766.5 4507 |
|------------------------------------------|
6. | 2019w2 618.5 513 773 6624 |
7. | 2018w50 619 517 768 3782 |
8. | 2019w9 619 518 766 4625 |
9. | 2019w6 619.5 517 768 4318 |
10. | 2019w3 620 514 774 5306 |
|------------------------------------------|
11. | 2019w5 620 516 773 4474 |
12. | 2018w49 621.5 517 773 3560 |
13. | 2019w4 621.5 516.5 770.5 4659 |
14. | 2019w10 623 521 764 4901 |
15. | 2019w11 623 521 761 4318 |
|------------------------------------------|
16. | 2019w12 625.5 521 759.5 4598 |
17. | 2019w13 626 522 764 6120 |
18. | 2018w48 626 521 774 3750 |
19. | 2019w14 626 523 760 4418 |
20. | 2018w46 626 521 786 3722 |
|------------------------------------------|
21. | 2018w47 626.5 521 782 4558 |
22. | 2019w15 628 526 761 5259 |
23. | 2019w18 628 528 761 4756 |
24. | 2018w44 628 521 796 3339 |
25. | 2019w17 628 528 761 4450 |
|------------------------------------------|
26. | 2018w45 630 522 789 4513 |
27. | 2019w16 630 528 762.5 4680 |
28. | 2019w19 632 530 761 5434 |
29. | 2018w37 634 528 829 5630 |
30. | 2019w23 636 531 760 4678 |
|------------------------------------------|
31. | 2019w21 636 531 764 4571 |
32. | 2019w20 636 531 765 5202 |
33. | 2019w22 637 531 760 4336 |
34. | 2018w41 637 528 808 3800 |
35. | 2019w27 637 531 760 4214 |
|------------------------------------------|
36. | 2019w26 638 531 761 4356 |
37. | 2019w25 638 532 761 4710 |
38. | 2019w24 638 532 763 5294 |
39. | 2018w42 639 530 807 4821 |
40. | 2018w40 639 528 829 4271 |
|------------------------------------------|
41. | 2018w43 639 528 801 3945 |
42. | 2018w36 639 528 838 3574 |
43. | 2018w39 640 531 839 4388 |
44. | 2018w38 641 530 846 7825 |
45. | 2018w35 642 537 844 3065 |
|------------------------------------------|
46. | 2018w34 652 555 848 3789 |
47. | 2018w33 667 559 867 3618 |
48. | 2018w32 675 567 880 3994 |
49. | 2018w31 682 575 891 3798 |
50. | 2018w30 684 577 902 3652 |
|------------------------------------------|
51. | 2018w29 693 589 922 4159 |
52. | 2018w28 707 592 963 4239 |
53. | 2018w27 715 598 979 4253 |
54. | 2018w26 733 609 991 4457 |

Data source:
- From LoyceV's weekly data dumps.
- From my converted datasets in the topic: Time Series Analysis on Distributed Merits in the forum (daily, weekly, monthly)

tranthidung

legendary

Activity: 2170

Merit: 3858

Farewell o_e_l_e_o

Update:

Time series plot of median and interquartile range

Dataset for median, interquartile range of intraday merits

Code:

. list week median q1 q3 merit

+------------------------------------------+
| week median q1 q3 merit |
|------------------------------------------|
1. | 2018w26 733 609 991 4457 |
2. | 2018w27 715 598 979 4253 |
3. | 2018w28 707 592 963 4239 |
4. | 2018w29 693 589 922 4159 |
5. | 2018w30 684 577 902 3652 |
|------------------------------------------|
6. | 2018w31 682 575 891 3798 |
7. | 2018w32 675 567 880 3994 |
8. | 2018w33 667 559 867 3618 |
9. | 2018w34 652 555 848 3789 |
10. | 2018w35 642 537 844 3065 |
|------------------------------------------|
11. | 2018w36 639 528 838 3574 |
12. | 2018w37 634 528 829 5630 |
13. | 2018w38 641 530 846 7825 |
14. | 2018w39 640 531 839 4388 |
15. | 2018w40 639 528 829 4271 |
|------------------------------------------|
16. | 2018w41 637 528 808 3800 |
17. | 2018w42 639 530 807 4821 |
18. | 2018w43 639 528 801 3945 |
19. | 2018w44 628 521 796 3339 |
20. | 2018w45 630 522 789 4513 |
|------------------------------------------|
21. | 2018w46 626 521 786 3722 |
22. | 2018w47 626.5 521 782 4558 |
23. | 2018w48 626 521 774 3750 |
24. | 2018w49 621.5 517 773 3560 |
25. | 2018w50 619 517 768 3782 |
|------------------------------------------|
26. | 2018w51 618.5 515 766.5 3753 |
27. | 2018w52 616.5 509.5 762.5 3278 |
28. | 2019w1 616 510 766 4793 |
29. | 2019w2 618.5 513 773 6624 |
30. | 2019w3 620 514 774 5306 |
|------------------------------------------|
31. | 2019w4 621.5 516.5 770.5 4659 |
32. | 2019w5 620 516 773 4474 |
33. | 2019w6 619.5 517 768 4318 |
34. | 2019w7 618 519 767 4207 |
35. | 2019w8 618.5 518.5 766.5 4507 |
|------------------------------------------|
36. | 2019w9 619 518 766 4625 |
37. | 2019w10 623 521 764 4901 |
38. | 2019w11 623 521 761 4318 |
39. | 2019w12 625.5 521 759.5 4598 |
40. | 2019w13 626 522 764 6120 |
|------------------------------------------|
41. | 2019w14 626 523 760 4418 |
42. | 2019w15 628 526 761 5259 |
43. | 2019w16 630 528 762.5 4680 |
44. | 2019w17 628 528 761 4450 |
45. | 2019w18 628 528 761 4756 |
|------------------------------------------|
46. | 2019w19 632 530 761 5434 |
47. | 2019w20 636 531 765 5202 |
48. | 2019w21 636 531 764 4571 |
49. | 2019w22 637 531 760 4336 |
50. | 2019w23 636 531 760 4678 |
|------------------------------------------|
51. | 2019w24 638 532 763 5294 |
52. | 2019w25 638 532 761 4710 |
53. | 2019w26 638 531 761 4356 |

List of median, q1, q3 of intra-day merits over weeks, in descending orders of medians.

Code:

. list week median q1 q3 merit

+------------------------------------------+
| week median q1 q3 merit |
|------------------------------------------|
1. | 2019w1 616 510 766 4793 |
2. | 2018w52 616.5 509.5 762.5 3278 |
3. | 2019w7 618 519 767 4207 |
4. | 2018w51 618.5 515 766.5 3753 |
5. | 2019w8 618.5 518.5 766.5 4507 |
|------------------------------------------|
6. | 2019w2 618.5 513 773 6624 |
7. | 2019w9 619 518 766 4625 |
8. | 2018w50 619 517 768 3782 |
9. | 2019w6 619.5 517 768 4318 |
10. | 2019w5 620 516 773 4474 |
|------------------------------------------|
11. | 2019w3 620 514 774 5306 |
12. | 2018w49 621.5 517 773 3560 |
13. | 2019w4 621.5 516.5 770.5 4659 |
14. | 2019w11 623 521 761 4318 |
15. | 2019w10 623 521 764 4901 |
|------------------------------------------|
16. | 2019w12 625.5 521 759.5 4598 |
17. | 2018w46 626 521 786 3722 |
18. | 2018w48 626 521 774 3750 |
19. | 2019w13 626 522 764 6120 |
20. | 2019w14 626 523 760 4418 |
|------------------------------------------|
21. | 2018w47 626.5 521 782 4558 |
22. | 2019w15 628 526 761 5259 |
23. | 2019w18 628 528 761 4756 |
24. | 2019w17 628 528 761 4450 |
25. | 2018w44 628 521 796 3339 |
|------------------------------------------|
26. | 2019w16 630 528 762.5 4680 |
27. | 2018w45 630 522 789 4513 |
28. | 2019w19 632 530 761 5434 |
29. | 2018w37 634 528 829 5630 |
30. | 2019w21 636 531 764 4571 |
|------------------------------------------|
31. | 2019w20 636 531 765 5202 |
32. | 2019w23 636 531 760 4678 |
33. | 2018w41 637 528 808 3800 |
34. | 2019w22 637 531 760 4336 |
35. | 2019w24 638 532 763 5294 |
|------------------------------------------|
36. | 2019w25 638 532 761 4710 |
37. | 2019w26 638 531 761 4356 |
38. | 2018w42 639 530 807 4821 |
39. | 2018w43 639 528 801 3945 |
40. | 2018w40 639 528 829 4271 |
|------------------------------------------|
41. | 2018w36 639 528 838 3574 |
42. | 2018w39 640 531 839 4388 |
43. | 2018w38 641 530 846 7825 |
44. | 2018w35 642 537 844 3065 |
45. | 2018w34 652 555 848 3789 |
|------------------------------------------|
46. | 2018w33 667 559 867 3618 |
47. | 2018w32 675 567 880 3994 |
48. | 2018w31 682 575 891 3798 |
49. | 2018w30 684 577 902 3652 |
50. | 2018w29 693 589 922 4159 |
|------------------------------------------|
51. | 2018w28 707 592 963 4239 |
52. | 2018w27 715 598 979 4253 |
53. | 2018w26 733 609 991 4457 |

Data source:
- From LoyceV's weekly data dumps.
- From my converted datasets in the topic: Time Series Analysis on Distributed Merits in the forum (daily, weekly, monthly)

tranthidung

legendary

Activity: 2170

Merit: 3858

Farewell o_e_l_e_o

Update:

Time series plot of median and interquartile range

Dataset for median, interquartile range of intraday merits

Code:

. list week median q1 q3 merit

+------------------------------------------+
| week median q1 q3 merit |
|------------------------------------------|
1. | 2018w26 733 609 991 4457 |
2. | 2018w27 715 598 979 4253 |
3. | 2018w28 707 592 963 4239 |
4. | 2018w29 693 589 922 4159 |
5. | 2018w30 684 577 902 3652 |
|------------------------------------------|
6. | 2018w31 682 575 891 3798 |
7. | 2018w32 675 567 880 3994 |
8. | 2018w33 667 559 867 3618 |
9. | 2018w34 652 555 848 3789 |
10. | 2018w35 642 537 844 3065 |
|------------------------------------------|
11. | 2018w36 639 528 838 3574 |
12. | 2018w37 634 528 829 5630 |
13. | 2018w38 641 530 846 7825 |
14. | 2018w39 640 531 839 4388 |
15. | 2018w40 639 528 829 4271 |
|------------------------------------------|
16. | 2018w41 637 528 808 3800 |
17. | 2018w42 639 530 807 4821 |
18. | 2018w43 639 528 801 3945 |
19. | 2018w44 628 521 796 3339 |
20. | 2018w45 630 522 789 4513 |
|------------------------------------------|
21. | 2018w46 626 521 786 3722 |
22. | 2018w47 626.5 521 782 4558 |
23. | 2018w48 626 521 774 3750 |
24. | 2018w49 621.5 517 773 3560 |
25. | 2018w50 619 517 768 3782 |
|------------------------------------------|
26. | 2018w51 618.5 515 766.5 3753 |
27. | 2018w52 616.5 509.5 762.5 3278 |
28. | 2019w1 616 510 766 4793 |
29. | 2019w2 618.5 513 773 6624 |
30. | 2019w3 620 514 774 5306 |
|------------------------------------------|
31. | 2019w4 621.5 516.5 770.5 4659 |
32. | 2019w5 620 516 773 4474 |
33. | 2019w6 619.5 517 768 4318 |
34. | 2019w7 618 519 767 4207 |
35. | 2019w8 618.5 518.5 766.5 4507 |
|------------------------------------------|
36. | 2019w9 619 518 766 4625 |
37. | 2019w10 623 521 764 4901 |
38. | 2019w11 623 521 761 4318 |
39. | 2019w12 625.5 521 759.5 4598 |
40. | 2019w13 626 522 764 6120 |
|------------------------------------------|
41. | 2019w14 626 523 760 4418 |
42. | 2019w15 628 526 761 5259 |
43. | 2019w16 630 528 762.5 4680 |
44. | 2019w17 628 528 761 4450 |
45. | 2019w18 628 528 761 4756 |
|------------------------------------------|
46. | 2019w19 632 530 761 5434 |
47. | 2019w20 636 531 765 5202 |
48. | 2019w21 636 531 764 4571 |
49. | 2019w22 637 531 760 4336 |
50. | 2019w23 636 531 760 4678 |
|------------------------------------------|
51. | 2019w24 638 532 763 5294 |
52. | 2019w25 638 532 761 4710 |

List of median, q1, q3 of intra-day merits over weeks, in descending orders of medians.

Code:

. list week median q1 q3 merit

+------------------------------------------+
| week median q1 q3 merit |
|------------------------------------------|
1. | 2019w1 616 510 766 4793 |
2. | 2018w52 616.5 509.5 762.5 3278 |
3. | 2019w7 618 519 767 4207 |
4. | 2018w51 618.5 515 766.5 3753 |
5. | 2019w8 618.5 518.5 766.5 4507 |
|------------------------------------------|
6. | 2019w2 618.5 513 773 6624 |
7. | 2018w50 619 517 768 3782 |
8. | 2019w9 619 518 766 4625 |
9. | 2019w6 619.5 517 768 4318 |
10. | 2019w5 620 516 773 4474 |
|------------------------------------------|
11. | 2019w3 620 514 774 5306 |
12. | 2018w49 621.5 517 773 3560 |
13. | 2019w4 621.5 516.5 770.5 4659 |
14. | 2019w11 623 521 761 4318 |
15. | 2019w10 623 521 764 4901 |
|------------------------------------------|
16. | 2019w12 625.5 521 759.5 4598 |
17. | 2019w14 626 523 760 4418 |
18. | 2019w13 626 522 764 6120 |
19. | 2018w48 626 521 774 3750 |
20. | 2018w46 626 521 786 3722 |
|------------------------------------------|
21. | 2018w47 626.5 521 782 4558 |
22. | 2018w44 628 521 796 3339 |
23. | 2019w18 628 528 761 4756 |
24. | 2019w15 628 526 761 5259 |
25. | 2019w17 628 528 761 4450 |
|------------------------------------------|
26. | 2018w45 630 522 789 4513 |
27. | 2019w16 630 528 762.5 4680 |
28. | 2019w19 632 530 761 5434 |
29. | 2018w37 634 528 829 5630 |
30. | 2019w23 636 531 760 4678 |
|------------------------------------------|
31. | 2019w21 636 531 764 4571 |
32. | 2019w20 636 531 765 5202 |
33. | 2019w22 637 531 760 4336 |
34. | 2018w41 637 528 808 3800 |
35. | 2019w25 638 532 761 4710 |
|------------------------------------------|
36. | 2019w24 638 532 763 5294 |
37. | 2018w43 639 528 801 3945 |
38. | 2018w42 639 530 807 4821 |
39. | 2018w36 639 528 838 3574 |
40. | 2018w40 639 528 829 4271 |
|------------------------------------------|
41. | 2018w39 640 531 839 4388 |
42. | 2018w38 641 530 846 7825 |
43. | 2018w35 642 537 844 3065 |
44. | 2018w34 652 555 848 3789 |
45. | 2018w33 667 559 867 3618 |
|------------------------------------------|
46. | 2018w32 675 567 880 3994 |
47. | 2018w31 682 575 891 3798 |
48. | 2018w30 684 577 902 3652 |
49. | 2018w29 693 589 922 4159 |
50. | 2018w28 707 592 963 4239 |
|------------------------------------------|
51. | 2018w27 715 598 979 4253 |
52. | 2018w26 733 609 991 4457 |

Data source:
- From LoyceV's weekly data dumps.
- From my converted datasets in the topic: Time Series Analysis on Distributed Merits in the forum (daily, weekly, monthly)

tranthidung

legendary

Activity: 2170

Merit: 3858

Farewell o_e_l_e_o

Update:

Time series plot of median and interquartile range

Dataset for median, interquartile range of intraday merits

Code:

. list week median q1 q3 merit

+------------------------------------------+
| week median q1 q3 merit |
|------------------------------------------|
1. | 2018w26 733 609 991 4457 |
2. | 2018w27 715 598 979 4253 |
3. | 2018w28 707 592 963 4239 |
4. | 2018w29 693 589 922 4159 |
5. | 2018w30 684 577 902 3652 |
|------------------------------------------|
6. | 2018w31 682 575 891 3798 |
7. | 2018w32 675 567 880 3994 |
8. | 2018w33 667 559 867 3618 |
9. | 2018w34 652 555 848 3789 |
10. | 2018w35 642 537 844 3065 |
|------------------------------------------|
11. | 2018w36 639 528 838 3574 |
12. | 2018w37 634 528 829 5630 |
13. | 2018w38 641 530 846 7825 |
14. | 2018w39 640 531 839 4388 |
15. | 2018w40 639 528 829 4271 |
|------------------------------------------|
16. | 2018w41 637 528 808 3800 |
17. | 2018w42 639 530 807 4821 |
18. | 2018w43 639 528 801 3945 |
19. | 2018w44 628 521 796 3339 |
20. | 2018w45 630 522 789 4513 |
|------------------------------------------|
21. | 2018w46 626 521 786 3722 |
22. | 2018w47 626.5 521 782 4558 |
23. | 2018w48 626 521 774 3750 |
24. | 2018w49 621.5 517 773 3560 |
25. | 2018w50 619 517 768 3782 |
|------------------------------------------|
26. | 2018w51 618.5 515 766.5 3753 |
27. | 2018w52 616.5 509.5 762.5 3278 |
28. | 2019w1 616 510 766 4793 |
29. | 2019w2 618.5 513 773 6624 |
30. | 2019w3 620 514 774 5306 |
|------------------------------------------|
31. | 2019w4 621.5 516.5 770.5 4659 |
32. | 2019w5 620 516 773 4474 |
33. | 2019w6 619.5 517 768 4318 |
34. | 2019w7 618 519 767 4207 |
35. | 2019w8 618.5 518.5 766.5 4507 |
|------------------------------------------|
36. | 2019w9 619 518 766 4625 |
37. | 2019w10 623 521 764 4901 |
38. | 2019w11 623 521 761 4318 |
39. | 2019w12 625.5 521 759.5 4598 |
40. | 2019w13 626 522 764 6120 |
|------------------------------------------|
41. | 2019w14 626 523 760 4418 |
42. | 2019w15 628 526 761 5259 |
43. | 2019w16 630 528 762.5 4680 |
44. | 2019w17 628 528 761 4450 |
45. | 2019w18 628 528 761 4756 |
|------------------------------------------|
46. | 2019w19 632 530 761 5434 |
47. | 2019w20 636 531 765 5202 |
48. | 2019w21 636 531 764 4571 |
49. | 2019w22 637 531 760 4336 |
50. | 2019w23 636 531 760 4678 |
|------------------------------------------|

List of median, q1, q3 of intra-day merits over weeks, in descending orders of medians.

Code:

. list week median q1 q3 merit

+------------------------------------------+
| week median q1 q3 merit |
|------------------------------------------|
1. | 2019w1 616 510 766 4793 |
2. | 2018w52 616.5 509.5 762.5 3278 |
3. | 2019w7 618 519 767 4207 |
4. | 2019w8 618.5 518.5 766.5 4507 |
5. | 2019w2 618.5 513 773 6624 |
|------------------------------------------|
6. | 2018w51 618.5 515 766.5 3753 |
7. | 2018w50 619 517 768 3782 |
8. | 2019w9 619 518 766 4625 |
9. | 2019w6 619.5 517 768 4318 |
10. | 2019w5 620 516 773 4474 |
|------------------------------------------|
11. | 2019w3 620 514 774 5306 |
12. | 2018w49 621.5 517 773 3560 |
13. | 2019w4 621.5 516.5 770.5 4659 |
14. | 2019w11 623 521 761 4318 |
15. | 2019w10 623 521 764 4901 |
|------------------------------------------|
16. | 2019w12 625.5 521 759.5 4598 |
17. | 2018w48 626 521 774 3750 |
18. | 2019w13 626 522 764 6120 |
19. | 2019w14 626 523 760 4418 |
20. | 2018w46 626 521 786 3722 |
|------------------------------------------|
21. | 2018w47 626.5 521 782 4558 |
22. | 2019w15 628 526 761 5259 |
23. | 2018w44 628 521 796 3339 |
24. | 2019w17 628 528 761 4450 |
25. | 2019w18 628 528 761 4756 |
|------------------------------------------|
26. | 2019w16 630 528 762.5 4680 |
27. | 2018w45 630 522 789 4513 |
28. | 2019w19 632 530 761 5434 |
29. | 2018w37 634 528 829 5630 |
30. | 2019w23 636 531 760 4678 |
|------------------------------------------|
31. | 2019w21 636 531 764 4571 |
32. | 2019w20 636 531 765 5202 |
33. | 2019w22 637 531 760 4336 |
34. | 2018w41 637 528 808 3800 |
35. | 2018w40 639 528 829 4271 |
|------------------------------------------|
36. | 2018w42 639 530 807 4821 |
37. | 2018w43 639 528 801 3945 |
38. | 2018w36 639 528 838 3574 |
39. | 2018w39 640 531 839 4388 |
40. | 2018w38 641 530 846 7825 |
|------------------------------------------|
41. | 2018w35 642 537 844 3065 |
42. | 2018w34 652 555 848 3789 |
43. | 2018w33 667 559 867 3618 |
44. | 2018w32 675 567 880 3994 |
45. | 2018w31 682 575 891 3798 |
|------------------------------------------|
46. | 2018w30 684 577 902 3652 |
47. | 2018w29 693 589 922 4159 |
48. | 2018w28 707 592 963 4239 |
49. | 2018w27 715 598 979 4253 |
50. | 2018w26 733 609 991 4457 |
|------------------------------------------|

Data source:
- From LoyceV's weekly data dumps.
- From my converted datasets in the topic: Time Series Analysis on Distributed Merits in the forum (daily, weekly, monthly)

tranthidung

legendary

Activity: 2170

Merit: 3858

Farewell o_e_l_e_o

Update:

Time series plot of median and interquartile range

Dataset for median, interquartile range of intraday merits

Code:

. list week median q1 q3 merit

   +------------------------------------------+
   | week median q1 q3 merit |
   |------------------------------------------|
  1. | 2018w26 733 609 991 4457 |
  2. | 2018w27 715 598 979 4253 |
  3. | 2018w28 707 592 963 4239 |
  4. | 2018w29 693 589 922 4159 |
  5. | 2018w30 684 577 902 3652 |
   |------------------------------------------|
  6. | 2018w31 682 575 891 3798 |
  7. | 2018w32 675 567 880 3994 |
  8. | 2018w33 667 559 867 3618 |
  9. | 2018w34 652 555 848 3789 |
10. | 2018w35 642 537 844 3065 |
   |------------------------------------------|
11. | 2018w36 639 528 838 3574 |
12. | 2018w37 634 528 829 5630 |
13. | 2018w38 641 530 846 7825 |
14. | 2018w39 640 531 839 4388 |
15. | 2018w40 639 528 829 4271 |
   |------------------------------------------|
16. | 2018w41 637 528 808 3800 |
17. | 2018w42 639 530 807 4821 |
18. | 2018w43 639 528 801 3945 |
19. | 2018w44 628 521 796 3339 |
20. | 2018w45 630 522 789 4513 |
   |------------------------------------------|
21. | 2018w46 626 521 786 3722 |
22. | 2018w47 626.5 521 782 4558 |
23. | 2018w48 626 521 774 3750 |
24. | 2018w49 621.5 517 773 3560 |
25. | 2018w50 619 517 768 3782 |
   |------------------------------------------|
26. | 2018w51 618.5 515 766.5 3753 |
27. | 2018w52 616.5 509.5 762.5 3278 |
28. | 2019w1 616 510 766 4793 |
29. | 2019w2 618.5 513 773 6624 |
30. | 2019w3 620 514 774 5306 |
   |------------------------------------------|
31. | 2019w4 621.5 516.5 770.5 4659 |
32. | 2019w5 620 516 773 4474 |
33. | 2019w6 619.5 517 768 4318 |
34. | 2019w7 618 519 767 4207 |
35. | 2019w8 618.5 518.5 766.5 4507 |
   |------------------------------------------|
36. | 2019w9 619 518 766 4625 |
37. | 2019w10 623 521 764 4901 |
38. | 2019w11 623 521 761 4318 |
39. | 2019w12 625.5 521 759.5 4598 |
40. | 2019w13 626 522 764 6120 |
   |------------------------------------------|
41. | 2019w14 626 523 760 4418 |
42. | 2019w15 628 526 761 5259 |
43. | 2019w16 630 528 762.5 4680 |
44. | 2019w17 628 528 761 4450 |
45. | 2019w18 628 528 761 4756 |
   |------------------------------------------|
46. | 2019w19 632 530 761 5434 |
47. | 2019w20 636 531 765 5202 |
48. | 2019w21 636 531 764 4571 |
49. | 2019w22 637 531 760 4336 |

List of median, q1, q3 of intra-day merits over weeks, in descending orders of medians.

Code:

. list week median q1 q3 merit

   +------------------------------------------+
   | week median q1 q3 merit |
   |------------------------------------------|
  1. | 2019w1 616 510 766 4793 |
  2. | 2018w52 616.5 509.5 762.5 3278 |
  3. | 2019w7 618 519 767 4207 |
  4. | 2018w51 618.5 515 766.5 3753 |
  5. | 2019w8 618.5 518.5 766.5 4507 |
   |------------------------------------------|
  6. | 2019w2 618.5 513 773 6624 |
  7. | 2018w50 619 517 768 3782 |
  8. | 2019w9 619 518 766 4625 |
  9. | 2019w6 619.5 517 768 4318 |
10. | 2019w5 620 516 773 4474 |
   |------------------------------------------|
11. | 2019w3 620 514 774 5306 |
12. | 2019w4 621.5 516.5 770.5 4659 |
13. | 2018w49 621.5 517 773 3560 |
14. | 2019w10 623 521 764 4901 |
15. | 2019w11 623 521 761 4318 |
   |------------------------------------------|
16. | 2019w12 625.5 521 759.5 4598 |
17. | 2019w14 626 523 760 4418 |
18. | 2018w48 626 521 774 3750 |
19. | 2018w46 626 521 786 3722 |
20. | 2019w13 626 522 764 6120 |
   |------------------------------------------|
21. | 2018w47 626.5 521 782 4558 |
22. | 2019w15 628 526 761 5259 |
23. | 2019w17 628 528 761 4450 |
24. | 2019w18 628 528 761 4756 |
25. | 2018w44 628 521 796 3339 |
   |------------------------------------------|
26. | 2019w16 630 528 762.5 4680 |
27. | 2018w45 630 522 789 4513 |
28. | 2019w19 632 530 761 5434 |
29. | 2018w37 634 528 829 5630 |
30. | 2019w20 636 531 765 5202 |
   |------------------------------------------|
31. | 2019w21 636 531 764 4571 |
32. | 2018w41 637 528 808 3800 |
33. | 2019w22 637 531 760 4336 |
34. | 2018w42 639 530 807 4821 |
35. | 2018w43 639 528 801 3945 |
   |------------------------------------------|
36. | 2018w36 639 528 838 3574 |
37. | 2018w40 639 528 829 4271 |
38. | 2018w39 640 531 839 4388 |
39. | 2018w38 641 530 846 7825 |
40. | 2018w35 642 537 844 3065 |
   |------------------------------------------|
41. | 2018w34 652 555 848 3789 |
42. | 2018w33 667 559 867 3618 |
43. | 2018w32 675 567 880 3994 |
44. | 2018w31 682 575 891 3798 |
45. | 2018w30 684 577 902 3652 |
   |------------------------------------------|
46. | 2018w29 693 589 922 4159 |
47. | 2018w28 707 592 963 4239 |
48. | 2018w27 715 598 979 4253 |
49. | 2018w26 733 609 991 4457 |

Data source:
- From LoyceV's weekly data dumps.
- From my converted datasets in the topic: Time Series Analysis on Distributed Merits in the forum (daily, weekly, monthly)

tranthidung

legendary

Activity: 2170

Merit: 3858

Farewell o_e_l_e_o

Update:

Time series plot of median and interquartile range

Dataset for median, interquartile range of intraday merits

Code:

. list week median q1 q3 merit

+------------------------------------------+
| week median q1 q3 merit |
|------------------------------------------|
1. | 2018w26 733 609 991 4457 |
2. | 2018w27 715 598 979 4253 |
3. | 2018w28 707 592 963 4239 |
4. | 2018w29 693 589 922 4159 |
5. | 2018w30 684 577 902 3652 |
|------------------------------------------|
6. | 2018w31 682 575 891 3798 |
7. | 2018w32 675 567 880 3994 |
8. | 2018w33 667 559 867 3618 |
9. | 2018w34 652 555 848 3789 |
10. | 2018w35 642 537 844 3065 |
|------------------------------------------|
11. | 2018w36 639 528 838 3574 |
12. | 2018w37 634 528 829 5630 |
13. | 2018w38 641 530 846 7825 |
14. | 2018w39 640 531 839 4388 |
15. | 2018w40 639 528 829 4271 |
|------------------------------------------|
16. | 2018w41 637 528 808 3800 |
17. | 2018w42 639 530 807 4821 |
18. | 2018w43 639 528 801 3945 |
19. | 2018w44 628 521 796 3339 |
20. | 2018w45 630 522 789 4513 |
|------------------------------------------|
21. | 2018w46 626 521 786 3722 |
22. | 2018w47 626.5 521 782 4558 |
23. | 2018w48 626 521 774 3750 |
24. | 2018w49 621.5 517 773 3560 |
25. | 2018w50 619 517 768 3782 |
|------------------------------------------|
26. | 2018w51 618.5 515 766.5 3753 |
27. | 2018w52 616.5 509.5 762.5 3278 |
28. | 2019w1 616 510 766 4793 |
29. | 2019w2 618.5 513 773 6624 |
30. | 2019w3 620 514 774 5306 |
|------------------------------------------|
31. | 2019w4 621.5 516.5 770.5 4659 |
32. | 2019w5 620 516 773 4474 |
33. | 2019w6 619.5 517 768 4318 |
34. | 2019w7 618 519 767 4207 |
35. | 2019w8 618.5 518.5 766.5 4507 |
|------------------------------------------|
36. | 2019w9 619 518 766 4625 |
37. | 2019w10 623 521 764 4901 |
38. | 2019w11 623 521 761 4318 |
39. | 2019w12 625.5 521 759.5 4598 |
40. | 2019w13 626 522 764 6120 |
|------------------------------------------|
41. | 2019w14 626 523 760 4418 |
42. | 2019w15 628 526 761 5259 |
43. | 2019w16 630 528 762.5 4680 |
44. | 2019w17 628 528 761 4450 |
45. | 2019w18 628 528 761 4756 |
|------------------------------------------|
46. | 2019w19 632 530 761 5434 |
47. | 2019w20 636 531 765 5202 |
48. | 2019w21 636 531 764 4571 |

List of median, q1, q3 of intra-day merits over weeks, in descending orders of medians.

Code:

. list week median q1 q3 merit

+------------------------------------------+
| week median q1 q3 merit |
|------------------------------------------|
1. | 2019w1 616 510 766 4793 |
2. | 2018w52 616.5 509.5 762.5 3278 |
3. | 2019w7 618 519 767 4207 |
4. | 2018w51 618.5 515 766.5 3753 |
5. | 2019w2 618.5 513 773 6624 |
|------------------------------------------|
6. | 2019w8 618.5 518.5 766.5 4507 |
7. | 2018w50 619 517 768 3782 |
8. | 2019w9 619 518 766 4625 |
9. | 2019w6 619.5 517 768 4318 |
10. | 2019w3 620 514 774 5306 |
|------------------------------------------|
11. | 2019w5 620 516 773 4474 |
12. | 2018w49 621.5 517 773 3560 |
13. | 2019w4 621.5 516.5 770.5 4659 |
14. | 2019w10 623 521 764 4901 |
15. | 2019w11 623 521 761 4318 |
|------------------------------------------|
16. | 2019w12 625.5 521 759.5 4598 |
17. | 2019w14 626 523 760 4418 |
18. | 2018w46 626 521 786 3722 |
19. | 2018w48 626 521 774 3750 |
20. | 2019w13 626 522 764 6120 |
|------------------------------------------|
21. | 2018w47 626.5 521 782 4558 |
22. | 2019w15 628 526 761 5259 |
23. | 2019w18 628 528 761 4756 |
24. | 2019w17 628 528 761 4450 |
25. | 2018w44 628 521 796 3339 |
|------------------------------------------|
26. | 2019w16 630 528 762.5 4680 |
27. | 2018w45 630 522 789 4513 |
28. | 2019w19 632 530 761 5434 |
29. | 2018w37 634 528 829 5630 |
30. | 2019w21 636 531 764 4571 |
|------------------------------------------|
31. | 2019w20 636 531 765 5202 |
32. | 2018w41 637 528 808 3800 |
33. | 2018w40 639 528 829 4271 |
34. | 2018w43 639 528 801 3945 |
35. | 2018w36 639 528 838 3574 |
|------------------------------------------|
36. | 2018w42 639 530 807 4821 |
37. | 2018w39 640 531 839 4388 |
38. | 2018w38 641 530 846 7825 |
39. | 2018w35 642 537 844 3065 |
40. | 2018w34 652 555 848 3789 |
|------------------------------------------|
41. | 2018w33 667 559 867 3618 |
42. | 2018w32 675 567 880 3994 |
43. | 2018w31 682 575 891 3798 |
44. | 2018w30 684 577 902 3652 |
45. | 2018w29 693 589 922 4159 |
|------------------------------------------|
46. | 2018w28 707 592 963 4239 |
47. | 2018w27 715 598 979 4253 |
48. | 2018w26 733 609 991 4457 |

Data source:
- From LoyceV's weekly data dumps.
- From my converted datasets in the topic: Time Series Analysis on Distributed Merits in the forum (daily, weekly, monthly)

tranthidung

legendary

Activity: 2170

Merit: 3858

Farewell o_e_l_e_o

Update:

Time series plot of median and interquartile range

Dataset for median, interquartile range of intraday merits

Code:

. list week median q1 q3 merit

+------------------------------------------+
| week median q1 q3 merit |
|------------------------------------------|
1. | 2018w26 733 609 991 4457 |
2. | 2018w27 715 598 979 4253 |
3. | 2018w28 707 592 963 4239 |
4. | 2018w29 693 589 922 4159 |
5. | 2018w30 684 577 902 3652 |
|------------------------------------------|
6. | 2018w31 682 575 891 3798 |
7. | 2018w32 675 567 880 3994 |
8. | 2018w33 667 559 867 3618 |
9. | 2018w34 652 555 848 3789 |
10. | 2018w35 642 537 844 3065 |
|------------------------------------------|
11. | 2018w36 639 528 838 3574 |
12. | 2018w37 634 528 829 5630 |
13. | 2018w38 641 530 846 7825 |
14. | 2018w39 640 531 839 4388 |
15. | 2018w40 639 528 829 4271 |
|------------------------------------------|
16. | 2018w41 637 528 808 3800 |
17. | 2018w42 639 530 807 4821 |
18. | 2018w43 639 528 801 3945 |
19. | 2018w44 628 521 796 3339 |
20. | 2018w45 630 522 789 4513 |
|------------------------------------------|
21. | 2018w46 626 521 786 3722 |
22. | 2018w47 626.5 521 782 4558 |
23. | 2018w48 626 521 774 3750 |
24. | 2018w49 621.5 517 773 3560 |
25. | 2018w50 619 517 768 3782 |
|------------------------------------------|
26. | 2018w51 618.5 515 766.5 3753 |
27. | 2018w52 616.5 509.5 762.5 3278 |
28. | 2019w1 616 510 766 4793 |
29. | 2019w2 618.5 513 773 6624 |
30. | 2019w3 620 514 774 5306 |
|------------------------------------------|
31. | 2019w4 621.5 516.5 770.5 4659 |
32. | 2019w5 620 516 773 4474 |
33. | 2019w6 619.5 517 768 4318 |
34. | 2019w7 618 519 767 4207 |
35. | 2019w8 618.5 518.5 766.5 4507 |
|------------------------------------------|
36. | 2019w9 619 518 766 4625 |
37. | 2019w10 623 521 764 4901 |
38. | 2019w11 623 521 761 4318 |
39. | 2019w12 625.5 521 759.5 4598 |
40. | 2019w13 626 522 764 6120 |
|------------------------------------------|
41. | 2019w14 626 523 760 4418 |
42. | 2019w15 628 526 761 5259 |
43. | 2019w16 630 528 762.5 4680 |
44. | 2019w17 628 528 761 4450 |
45. | 2019w18 628 528 761 4756 |
|------------------------------------------|
46. | 2019w19 632 530 761 5434 |
47. | 2019w20 636 531 765 5202 |

List of median, q1, q3 of intra-day merits over weeks, in descending orders of medians.

Code:

. list week median q1 q3 merit

+------------------------------------------+
| week median q1 q3 merit |
|------------------------------------------|
1. | 2019w1 616 510 766 4793 |
2. | 2018w52 616.5 509.5 762.5 3278 |
3. | 2019w7 618 519 767 4207 |
4. | 2019w8 618.5 518.5 766.5 4507 |
5. | 2018w51 618.5 515 766.5 3753 |
|------------------------------------------|
6. | 2019w2 618.5 513 773 6624 |
7. | 2018w50 619 517 768 3782 |
8. | 2019w9 619 518 766 4625 |
9. | 2019w6 619.5 517 768 4318 |
10. | 2019w5 620 516 773 4474 |
|------------------------------------------|
11. | 2019w3 620 514 774 5306 |
12. | 2018w49 621.5 517 773 3560 |
13. | 2019w4 621.5 516.5 770.5 4659 |
14. | 2019w10 623 521 764 4901 |
15. | 2019w11 623 521 761 4318 |
|------------------------------------------|
16. | 2019w12 625.5 521 759.5 4598 |
17. | 2018w48 626 521 774 3750 |
18. | 2019w14 626 523 760 4418 |
19. | 2018w46 626 521 786 3722 |
20. | 2019w13 626 522 764 6120 |
|------------------------------------------|
21. | 2018w47 626.5 521 782 4558 |
22. | 2018w44 628 521 796 3339 |
23. | 2019w18 628 528 761 4756 |
24. | 2019w17 628 528 761 4450 |
25. | 2019w15 628 526 761 5259 |
|------------------------------------------|
26. | 2018w45 630 522 789 4513 |
27. | 2019w16 630 528 762.5 4680 |
28. | 2019w19 632 530 761 5434 |
29. | 2018w37 634 528 829 5630 |
30. | 2019w20 636 531 765 5202 |
|------------------------------------------|
31. | 2018w41 637 528 808 3800 |
32. | 2018w36 639 528 838 3574 |
33. | 2018w40 639 528 829 4271 |
34. | 2018w43 639 528 801 3945 |
35. | 2018w42 639 530 807 4821 |
|------------------------------------------|
36. | 2018w39 640 531 839 4388 |
37. | 2018w38 641 530 846 7825 |
38. | 2018w35 642 537 844 3065 |
39. | 2018w34 652 555 848 3789 |
40. | 2018w33 667 559 867 3618 |
|------------------------------------------|
41. | 2018w32 675 567 880 3994 |
42. | 2018w31 682 575 891 3798 |
43. | 2018w30 684 577 902 3652 |
44. | 2018w29 693 589 922 4159 |
45. | 2018w28 707 592 963 4239 |
|------------------------------------------|
46. | 2018w27 715 598 979 4253 |
47. | 2018w26 733 609 991 4457 |

Data source:
- From LoyceV's weekly data dumps.
- From my converted datasets in the topic: Time Series Analysis on Distributed Merits in the forum (daily, weekly, monthly)

tranthidung

legendary

Activity: 2170

Merit: 3858

Farewell o_e_l_e_o

Update:

Time series plot of median and interquartile range

Dataset for median, interquartile range of intraday merits

Code:

. list week median q1 q3 merit

+------------------------------------------+
| week median q1 q3 merit |
|------------------------------------------|
1. | 2018w26 733 609 991 4457 |
2. | 2018w27 715 598 979 4253 |
3. | 2018w28 707 592 963 4239 |
4. | 2018w29 693 589 922 4159 |
5. | 2018w30 684 577 902 3652 |
|------------------------------------------|
6. | 2018w31 682 575 891 3798 |
7. | 2018w32 675 567 880 3994 |
8. | 2018w33 667 559 867 3618 |
9. | 2018w34 652 555 848 3789 |
10. | 2018w35 642 537 844 3065 |
|------------------------------------------|
11. | 2018w36 639 528 838 3574 |
12. | 2018w37 634 528 829 5630 |
13. | 2018w38 641 530 846 7825 |
14. | 2018w39 640 531 839 4388 |
15. | 2018w40 639 528 829 4271 |
|------------------------------------------|
16. | 2018w41 637 528 808 3800 |
17. | 2018w42 639 530 807 4821 |
18. | 2018w43 639 528 801 3945 |
19. | 2018w44 628 521 796 3339 |
20. | 2018w45 630 522 789 4513 |
|------------------------------------------|
21. | 2018w46 626 521 786 3722 |
22. | 2018w48 626 521 774 3750 |
23. | 2018w49 621.5 517 773 3560 |
24. | 2018w50 619 517 768 3782 |
25. | 2018w51 618.5 515 766.5 3753 |
|------------------------------------------|
26. | 2018w52 616.5 509.5 762.5 3278 |
27. | 2019w1 616 510 766 4793 |
28. | 2019w2 618.5 513 773 6624 |
29. | 2019w3 620 514 774 5306 |
30. | 2019w4 621.5 516.5 770.5 4659 |
|------------------------------------------|
31. | 2019w5 620 516 773 4474 |
32. | 2019w6 619.5 517 768 4318 |
33. | 2019w7 618 519 767 4207 |
34. | 2019w8 618.5 518.5 766.5 4507 |
35. | 2019w9 619 518 766 4625 |
|------------------------------------------|
36. | 2019w10 623 521 764 4901 |
37. | 2019w11 623 521 761 4318 |
38. | 2019w12 625.5 521 759.5 4598 |
39. | 2019w13 626 522 764 6120 |
40. | 2019w14 626 523 760 4418 |
|------------------------------------------|
41. | 2019w15 628 526 761 5259 |
42. | 2019w16 630 528 762.5 4680 |
43. | 2019w17 628 528 761 4450 |
44. | 2019w18 628 528 761 4756 |
45. | 2019w19 632 530 761 5434 |
|------------------------------------------|

List of median, q1, q3 of intra-day merits over weeks, in descending orders of medians.

Code:

. list week median q1 q3 merit

+------------------------------------------+
| week median q1 q3 merit |
|------------------------------------------|
1. | 2019w1 616 510 766 4793 |
2. | 2018w52 616.5 509.5 762.5 3278 |
3. | 2019w7 618 519 767 4207 |
4. | 2019w2 618.5 513 773 6624 |
5. | 2019w8 618.5 518.5 766.5 4507 |
|------------------------------------------|
6. | 2018w51 618.5 515 766.5 3753 |
7. | 2018w50 619 517 768 3782 |
8. | 2019w9 619 518 766 4625 |
9. | 2019w6 619.5 517 768 4318 |
10. | 2019w3 620 514 774 5306 |
|------------------------------------------|
11. | 2019w5 620 516 773 4474 |
12. | 2018w49 621.5 517 773 3560 |
13. | 2019w4 621.5 516.5 770.5 4659 |
14. | 2019w11 623 521 761 4318 |
15. | 2019w10 623 521 764 4901 |
|------------------------------------------|
16. | 2019w12 625.5 521 759.5 4598 |
17. | 2019w13 626 522 764 6120 |
18. | 2018w46 626 521 786 3722 |
19. | 2018w48 626 521 774 3750 |
20. | 2019w14 626 523 760 4418 |
|------------------------------------------|
21. | 2018w44 628 521 796 3339 |
22. | 2019w15 628 526 761 5259 |
23. | 2019w17 628 528 761 4450 |
24. | 2019w18 628 528 761 4756 |
25. | 2018w45 630 522 789 4513 |
|------------------------------------------|
26. | 2019w16 630 528 762.5 4680 |
27. | 2019w19 632 530 761 5434 |
28. | 2018w37 634 528 829 5630 |
29. | 2018w41 637 528 808 3800 |
30. | 2018w43 639 528 801 3945 |
|------------------------------------------|
31. | 2018w36 639 528 838 3574 |
32. | 2018w40 639 528 829 4271 |
33. | 2018w42 639 530 807 4821 |
34. | 2018w39 640 531 839 4388 |
35. | 2018w38 641 530 846 7825 |
|------------------------------------------|
36. | 2018w35 642 537 844 3065 |
37. | 2018w34 652 555 848 3789 |
38. | 2018w33 667 559 867 3618 |
39. | 2018w32 675 567 880 3994 |
40. | 2018w31 682 575 891 3798 |
|------------------------------------------|
41. | 2018w30 684 577 902 3652 |
42. | 2018w29 693 589 922 4159 |
43. | 2018w28 707 592 963 4239 |
44. | 2018w27 715 598 979 4253 |
45. | 2018w26 733 609 991 4457 |
|------------------------------------------|

Data source:
- From LoyceV's weekly data dumps.
- From my converted datasets in the topic: Time Series Analysis on Distributed Merits in the forum (daily, weekly, monthly)

tranthidung

legendary

Activity: 2170

Merit: 3858

Farewell o_e_l_e_o

Update:

Time series plot of median and interquartile range

Dataset for median, interquartile range of intraday merits

Code:

. list week median q1 q3 merit

+------------------------------------------+
| week median q1 q3 merit |
|------------------------------------------|
1. | 2018w26 733 609 991 4457 |
2. | 2018w27 715 598 979 4253 |
3. | 2018w28 707 592 963 4239 |
4. | 2018w29 693 589 922 4159 |
5. | 2018w30 684 577 902 3652 |
|------------------------------------------|
6. | 2018w31 682 575 891 3798 |
7. | 2018w32 675 567 880 3994 |
8. | 2018w33 667 559 867 3618 |
9. | 2018w34 652 555 848 3789 |
10. | 2018w35 642 537 844 3065 |
|------------------------------------------|
11. | 2018w36 639 528 838 3574 |
12. | 2018w37 634 528 829 5630 |
13. | 2018w38 641 530 846 7825 |
14. | 2018w39 640 531 839 4388 |
15. | 2018w40 639 528 829 4271 |
|------------------------------------------|
16. | 2018w41 637 528 808 3800 |
17. | 2018w42 639 530 807 4821 |
18. | 2018w43 639 528 801 3945 |
19. | 2018w44 628 521 796 3339 |
20. | 2018w45 630 522 789 4513 |
|------------------------------------------|
21. | 2018w46 626 521 786 3722 |
22. | 2018w48 626 521 774 3750 |
23. | 2018w49 621.5 517 773 3560 |
24. | 2018w50 619 517 768 3782 |
25. | 2018w51 618.5 515 766.5 3753 |
|------------------------------------------|
26. | 2018w52 616.5 509.5 762.5 3278 |
27. | 2019w1 616 510 766 4793 |
28. | 2019w2 618.5 513 773 6624 |
29. | 2019w3 620 514 774 5306 |
30. | 2019w4 621.5 516.5 770.5 4659 |
|------------------------------------------|
31. | 2019w5 620 516 773 4474 |
32. | 2019w6 619.5 517 768 4318 |
33. | 2019w7 618 519 767 4207 |
34. | 2019w8 618.5 518.5 766.5 4507 |
35. | 2019w9 619 518 766 4625 |
|------------------------------------------|
36. | 2019w10 623 521 764 4901 |
37. | 2019w11 623 521 761 4318 |
38. | 2019w12 625.5 521 759.5 4598 |
39. | 2019w13 626 522 764 6120 |
40. | 2019w14 626 523 760 4418 |
|------------------------------------------|
41. | 2019w15 628 526 761 5259 |
42. | 2019w16 630 528 762.5 4680 |
43. | 2019w17 628 528 761 4450 |
44. | 2019w18 628 528 761 4756 |

List of median, q1, q3 of intra-day merits over weeks, in descending orders of medians.

Code:

. list week median q1 q3 merit

+------------------------------------------+
| week median q1 q3 merit |
|------------------------------------------|
1. | 2019w1 616 510 766 4793 |
2. | 2018w52 616.5 509.5 762.5 3278 |
3. | 2019w7 618 519 767 4207 |
4. | 2019w2 618.5 513 773 6624 |
5. | 2018w51 618.5 515 766.5 3753 |
|------------------------------------------|
6. | 2019w8 618.5 518.5 766.5 4507 |
7. | 2019w9 619 518 766 4625 |
8. | 2018w50 619 517 768 3782 |
9. | 2019w6 619.5 517 768 4318 |
10. | 2019w3 620 514 774 5306 |
|------------------------------------------|
11. | 2019w5 620 516 773 4474 |
12. | 2018w49 621.5 517 773 3560 |
13. | 2019w4 621.5 516.5 770.5 4659 |
14. | 2019w10 623 521 764 4901 |
15. | 2019w11 623 521 761 4318 |
|------------------------------------------|
16. | 2019w12 625.5 521 759.5 4598 |
17. | 2019w14 626 523 760 4418 |
18. | 2019w13 626 522 764 6120 |
19. | 2018w46 626 521 786 3722 |
20. | 2018w48 626 521 774 3750 |
|------------------------------------------|
21. | 2019w18 628 528 761 4756 |
22. | 2019w17 628 528 761 4450 |
23. | 2018w44 628 521 796 3339 |
24. | 2019w15 628 526 761 5259 |
25. | 2019w16 630 528 762.5 4680 |
|------------------------------------------|
26. | 2018w45 630 522 789 4513 |
27. | 2018w37 634 528 829 5630 |
28. | 2018w41 637 528 808 3800 |
29. | 2018w40 639 528 829 4271 |
30. | 2018w42 639 530 807 4821 |
|------------------------------------------|
31. | 2018w36 639 528 838 3574 |
32. | 2018w43 639 528 801 3945 |
33. | 2018w39 640 531 839 4388 |
34. | 2018w38 641 530 846 7825 |
35. | 2018w35 642 537 844 3065 |
|------------------------------------------|
36. | 2018w34 652 555 848 3789 |
37. | 2018w33 667 559 867 3618 |
38. | 2018w32 675 567 880 3994 |
39. | 2018w31 682 575 891 3798 |
40. | 2018w30 684 577 902 3652 |
|------------------------------------------|
41. | 2018w29 693 589 922 4159 |
42. | 2018w28 707 592 963 4239 |
43. | 2018w27 715 598 979 4253 |
44. | 2018w26 733 609 991 4457 |

Data source:
- From LoyceV's weekly data dumps.
- From my converted datasets in the topic: Time Series Analysis on Distributed Merits in the forum (daily, weekly, monthly)

tranthidung

legendary

Activity: 2170

Merit: 3858

Farewell o_e_l_e_o

Update:

Time series plot of median and interquartile range

Dataset for median, interquartile range of intraday merits

Code:

. list week median q1 q3 merit

   +------------------------------------------+
   | week median q1 q3 merit |
   |------------------------------------------|
  1. | 2018w26 733 609 991 4457 |
  2. | 2018w27 715 598 979 4253 |
  3. | 2018w28 707 592 963 4239 |
  4. | 2018w29 693 589 922 4159 |
  5. | 2018w30 684 577 902 3652 |
   |------------------------------------------|
  6. | 2018w31 682 575 891 3798 |
  7. | 2018w32 675 567 880 3994 |
  8. | 2018w33 667 559 867 3618 |
  9. | 2018w34 652 555 848 3789 |
10. | 2018w35 642 537 844 3065 |
   |------------------------------------------|
11. | 2018w36 639 528 838 3574 |
12. | 2018w37 634 528 829 5630 |
13. | 2018w38 641 530 846 7825 |
14. | 2018w39 640 531 839 4388 |
15. | 2018w40 639 528 829 4271 |
   |------------------------------------------|
16. | 2018w41 637 528 808 3800 |
17. | 2018w42 639 530 807 4821 |
18. | 2018w43 639 528 801 3945 |
19. | 2018w44 628 521 796 3339 |
20. | 2018w45 630 522 789 4513 |
   |------------------------------------------|
21. | 2018w46 626 521 786 3722 |
22. | 2018w48 626 521 774 3750 |
23. | 2018w49 621.5 517 773 3560 |
24. | 2018w50 619 517 768 3782 |
25. | 2018w51 618.5 515 766.5 3753 |
   |------------------------------------------|
26. | 2018w52 616.5 509.5 762.5 3278 |
27. | 2019w1 616 510 766 4793 |
28. | 2019w2 618.5 513 773 6624 |
29. | 2019w3 620 514 774 5306 |
30. | 2019w4 621.5 516.5 770.5 4659 |
   |------------------------------------------|
31. | 2019w5 620 516 773 4474 |
32. | 2019w6 619.5 517 768 4318 |
33. | 2019w7 618 519 767 4207 |
34. | 2019w8 618.5 518.5 766.5 4507 |
35. | 2019w9 619 518 766 4625 |
   |------------------------------------------|
36. | 2019w10 623 521 764 4901 |
37. | 2019w11 623 521 761 4318 |
38. | 2019w12 625.5 521 759.5 4598 |
39. | 2019w13 626 522 764 6120 |
40. | 2019w14 626 523 760 4418 |
   |------------------------------------------|
41. | 2019w15 628 526 761 5259 |
42. | 2019w16 630 528 762.5 4680 |
43. | 2019w17 628 528 761 4450 |

List of median, q1, q3 of intra-day merits over weeks, in descending orders of medians.

Code:

. list week median q1 q3 merit

   +------------------------------------------+
   | week median q1 q3 merit |
   |------------------------------------------|
  1. | 2019w1 616 510 766 4793 |
  2. | 2018w52 616.5 509.5 762.5 3278 |
  3. | 2019w7 618 519 767 4207 |
  4. | 2018w51 618.5 515 766.5 3753 |
  5. | 2019w2 618.5 513 773 6624 |
   |------------------------------------------|
  6. | 2019w8 618.5 518.5 766.5 4507 |
  7. | 2018w50 619 517 768 3782 |
  8. | 2019w9 619 518 766 4625 |
  9. | 2019w6 619.5 517 768 4318 |
10. | 2019w3 620 514 774 5306 |
   |------------------------------------------|
11. | 2019w5 620 516 773 4474 |
12. | 2018w49 621.5 517 773 3560 |
13. | 2019w4 621.5 516.5 770.5 4659 |
14. | 2019w11 623 521 761 4318 |
15. | 2019w10 623 521 764 4901 |
   |------------------------------------------|
16. | 2019w12 625.5 521 759.5 4598 |
17. | 2018w46 626 521 786 3722 |
18. | 2018w48 626 521 774 3750 |
19. | 2019w14 626 523 760 4418 |
20. | 2019w13 626 522 764 6120 |
   |------------------------------------------|
21. | 2019w15 628 526 761 5259 |
22. | 2018w44 628 521 796 3339 |
23. | 2019w17 628 528 761 4450 |
24. | 2019w16 630 528 762.5 4680 |
25. | 2018w45 630 522 789 4513 |
   |------------------------------------------|
26. | 2018w37 634 528 829 5630 |
27. | 2018w41 637 528 808 3800 |
28. | 2018w42 639 530 807 4821 |
29. | 2018w43 639 528 801 3945 |
30. | 2018w36 639 528 838 3574 |
   |------------------------------------------|
31. | 2018w40 639 528 829 4271 |
32. | 2018w39 640 531 839 4388 |
33. | 2018w38 641 530 846 7825 |
34. | 2018w35 642 537 844 3065 |
35. | 2018w34 652 555 848 3789 |
   |------------------------------------------|
36. | 2018w33 667 559 867 3618 |
37. | 2018w32 675 567 880 3994 |
38. | 2018w31 682 575 891 3798 |
39. | 2018w30 684 577 902 3652 |
40. | 2018w29 693 589 922 4159 |
   |------------------------------------------|
41. | 2018w28 707 592 963 4239 |
42. | 2018w27 715 598 979 4253 |
43. | 2018w26 733 609 991 4457 |

Data source:
- From LoyceV's weekly data dumps.
- From my converted datasets in the topic: Time Series Analysis on Distributed Merits in the forum (daily, weekly, monthly)

tranthidung

legendary

Activity: 2170

Merit: 3858

Farewell o_e_l_e_o

Update:

Time series plot of median and interquartile range

Dataset for median, interquartile range of intraday merits

Code:

. list week median q1 q3 merit

   +------------------------------------------+
   | week median q1 q3 merit |
   |------------------------------------------|
  1. | 2018w26 733 609 991 4457 |
  2. | 2018w27 715 598 979 4253 |
  3. | 2018w28 707 592 963 4239 |
  4. | 2018w29 693 589 922 4159 |
  5. | 2018w30 684 577 902 3652 |
   |------------------------------------------|
  6. | 2018w31 682 575 891 3798 |
  7. | 2018w32 675 567 880 3994 |
  8. | 2018w33 667 559 867 3618 |
  9. | 2018w34 652 555 848 3789 |
10. | 2018w35 642 537 844 3065 |
   |------------------------------------------|
11. | 2018w36 639 528 838 3574 |
12. | 2018w37 634 528 829 5630 |
13. | 2018w38 641 530 846 7825 |
14. | 2018w39 640 531 839 4388 |
15. | 2018w40 639 528 829 4271 |
   |------------------------------------------|
16. | 2018w41 637 528 808 3800 |
17. | 2018w42 639 530 807 4821 |
18. | 2018w43 639 528 801 3945 |
19. | 2018w44 628 521 796 3339 |
20. | 2018w45 630 522 789 4513 |
   |------------------------------------------|
21. | 2018w46 626 521 786 3722 |
22. | 2018w48 626 521 774 3750 |
23. | 2018w49 621.5 517 773 3560 |
24. | 2018w50 619 517 768 3782 |
25. | 2018w51 618.5 515 766.5 3753 |
   |------------------------------------------|
26. | 2018w52 616.5 509.5 762.5 3278 |
27. | 2019w1 616 510 766 4793 |
28. | 2019w2 618.5 513 773 6624 |
29. | 2019w3 620 514 774 5306 |
30. | 2019w4 621.5 516.5 770.5 4659 |
   |------------------------------------------|
31. | 2019w5 620 516 773 4474 |
32. | 2019w6 619.5 517 768 4318 |
33. | 2019w7 618 519 767 4207 |
34. | 2019w8 618.5 518.5 766.5 4507 |
35. | 2019w9 619 518 766 4625 |
   |------------------------------------------|
36. | 2019w10 623 521 764 4901 |
37. | 2019w11 623 521 761 4318 |
38. | 2019w12 625.5 521 759.5 4598 |
39. | 2019w13 626 522 764 6120 |
40. | 2019w14 626 523 760 4418 |
   |------------------------------------------|
41. | 2019w15 628 526 761 5259 |
42. | 2019w16 630 528 762.5 4680 |

List of median, q1, q3 of intra-day merits over weeks, in descending orders of medians.

Code:

. list week median q1 q3 merit

   +------------------------------------------+
   | week median q1 q3 merit |
   |------------------------------------------|
  1. | 2019w1 616 510 766 4793 |
  2. | 2018w52 616.5 509.5 762.5 3278 |
  3. | 2019w7 618 519 767 4207 |
  4. | 2019w2 618.5 513 773 6624 |
  5. | 2019w8 618.5 518.5 766.5 4507 |
   |------------------------------------------|
  6. | 2018w51 618.5 515 766.5 3753 |
  7. | 2018w50 619 517 768 3782 |
  8. | 2019w9 619 518 766 4625 |
  9. | 2019w6 619.5 517 768 4318 |
10. | 2019w5 620 516 773 4474 |
   |------------------------------------------|
11. | 2019w3 620 514 774 5306 |
12. | 2018w49 621.5 517 773 3560 |
13. | 2019w4 621.5 516.5 770.5 4659 |
14. | 2019w11 623 521 761 4318 |
15. | 2019w10 623 521 764 4901 |
   |------------------------------------------|
16. | 2019w12 625.5 521 759.5 4598 |
17. | 2018w48 626 521 774 3750 |
18. | 2019w14 626 523 760 4418 |
19. | 2018w46 626 521 786 3722 |
20. | 2019w13 626 522 764 6120 |
   |------------------------------------------|
21. | 2019w15 628 526 761 5259 |
22. | 2018w44 628 521 796 3339 |
23. | 2019w16 630 528 762.5 4680 |
24. | 2018w45 630 522 789 4513 |
25. | 2018w37 634 528 829 5630 |
   |------------------------------------------|
26. | 2018w41 637 528 808 3800 |
27. | 2018w36 639 528 838 3574 |
28. | 2018w43 639 528 801 3945 |
29. | 2018w42 639 530 807 4821 |
30. | 2018w40 639 528 829 4271 |
   |------------------------------------------|
31. | 2018w39 640 531 839 4388 |
32. | 2018w38 641 530 846 7825 |
33. | 2018w35 642 537 844 3065 |
34. | 2018w34 652 555 848 3789 |
35. | 2018w33 667 559 867 3618 |
   |------------------------------------------|
36. | 2018w32 675 567 880 3994 |
37. | 2018w31 682 575 891 3798 |
38. | 2018w30 684 577 902 3652 |
39. | 2018w29 693 589 922 4159 |
40. | 2018w28 707 592 963 4239 |
   |------------------------------------------|
41. | 2018w27 715 598 979 4253 |
42. | 2018w26 733 609 991 4457 |

Data source:
- From LoyceV's weekly data dumps.
- From my converted datasets in the topic: Time Series Analysis on Distributed Merits in the forum (daily, weekly, monthly)

tranthidung

legendary

Activity: 2170

Merit: 3858

Farewell o_e_l_e_o

Update:

Time series plot of median and interquartile range

Dataset for median, interquartile range of intraday merits

Code:

. list week median q1 q3 merit

+------------------------------------------+
| week median q1 q3 merit |
|------------------------------------------|
1. | 2018w26 733 609 991 4457 |
2. | 2018w27 715 598 979 4253 |
3. | 2018w28 707 592 963 4239 |
4. | 2018w29 693 589 922 4159 |
5. | 2018w30 684 577 902 3652 |
|------------------------------------------|
6. | 2018w31 682 575 891 3798 |
7. | 2018w32 675 567 880 3994 |
8. | 2018w33 667 559 867 3618 |
9. | 2018w34 652 555 848 3789 |
10. | 2018w35 642 537 844 3065 |
|------------------------------------------|
11. | 2018w36 639 528 838 3574 |
12. | 2018w37 634 528 829 5630 |
13. | 2018w38 641 530 846 7825 |
14. | 2018w39 640 531 839 4388 |
15. | 2018w40 639 528 829 4271 |
|------------------------------------------|
16. | 2018w41 637 528 808 3800 |
17. | 2018w42 639 530 807 4821 |
18. | 2018w43 639 528 801 3945 |
19. | 2018w44 628 521 796 3339 |
20. | 2018w45 630 522 789 4513 |
|------------------------------------------|
21. | 2018w46 626 521 786 3722 |
22. | 2018w48 626 521 774 3750 |
23. | 2018w49 621.5 517 773 3560 |
24. | 2018w50 619 517 768 3782 |
25. | 2018w51 618.5 515 766.5 3753 |
|------------------------------------------|
26. | 2018w52 616.5 509.5 762.5 3278 |
27. | 2019w1 616 510 766 4793 |
28. | 2019w2 618.5 513 773 6624 |
29. | 2019w3 620 514 774 5306 |
30. | 2019w4 621.5 516.5 770.5 4659 |
|------------------------------------------|
31. | 2019w5 620 516 773 4474 |
32. | 2019w6 619.5 517 768 4318 |
33. | 2019w7 618 519 767 4207 |
34. | 2019w8 618.5 518.5 766.5 4507 |
35. | 2019w9 619 518 766 4625 |
|------------------------------------------|
36. | 2019w10 623 521 764 4901 |
37. | 2019w11 623 521 761 4318 |
38. | 2019w12 625.5 521 759.5 4598 |
39. | 2019w13 626 522 764 6120 |
40. | 2019w14 626 523 760 4418 |
|------------------------------------------|
41. | 2019w15 628 526 761 5259 |

List of median, q1, q3 of intra-day merits over weeks, in descending orders of medians.

Code:

. list week median q1 q3 merit

+------------------------------------------+
| week median q1 q3 merit |
|------------------------------------------|
1. | 2019w1 616 510 766 4793 |
2. | 2018w52 616.5 509.5 762.5 3278 |
3. | 2019w7 618 519 767 4207 |
4. | 2019w8 618.5 518.5 766.5 4507 |
5. | 2019w2 618.5 513 773 6624 |
|------------------------------------------|
6. | 2018w51 618.5 515 766.5 3753 |
7. | 2018w50 619 517 768 3782 |
8. | 2019w9 619 518 766 4625 |
9. | 2019w6 619.5 517 768 4318 |
10. | 2019w3 620 514 774 5306 |
|------------------------------------------|
11. | 2019w5 620 516 773 4474 |
12. | 2019w4 621.5 516.5 770.5 4659 |
13. | 2018w49 621.5 517 773 3560 |
14. | 2019w11 623 521 761 4318 |
15. | 2019w10 623 521 764 4901 |
|------------------------------------------|
16. | 2019w12 625.5 521 759.5 4598 |
17. | 2018w46 626 521 786 3722 |
18. | 2019w13 626 522 764 6120 |
19. | 2018w48 626 521 774 3750 |
20. | 2019w14 626 523 760 4418 |
|------------------------------------------|
21. | 2019w15 628 526 761 5259 |
22. | 2018w44 628 521 796 3339 |
23. | 2018w45 630 522 789 4513 |
24. | 2018w37 634 528 829 5630 |
25. | 2018w41 637 528 808 3800 |
|------------------------------------------|
26. | 2018w43 639 528 801 3945 |
27. | 2018w40 639 528 829 4271 |
28. | 2018w42 639 530 807 4821 |
29. | 2018w36 639 528 838 3574 |
30. | 2018w39 640 531 839 4388 |
|------------------------------------------|
31. | 2018w38 641 530 846 7825 |
32. | 2018w35 642 537 844 3065 |
33. | 2018w34 652 555 848 3789 |
34. | 2018w33 667 559 867 3618 |
35. | 2018w32 675 567 880 3994 |
|------------------------------------------|
36. | 2018w31 682 575 891 3798 |
37. | 2018w30 684 577 902 3652 |
38. | 2018w29 693 589 922 4159 |
39. | 2018w28 707 592 963 4239 |
40. | 2018w27 715 598 979 4253 |
|------------------------------------------|
41. | 2018w26 733 609 991 4457 |

Data source:
- From LoyceV's weekly data dumps.
- From my converted datasets in the topic: Time Series Analysis on Distributed Merits in the forum (daily, weekly, monthly)

tranthidung

legendary

Activity: 2170

Merit: 3858

Farewell o_e_l_e_o

Update:

Time series plot of median and interquartile range

Dataset for median, interquartile range of intraday merits

Code:

. list week merit median q3 q1

+------------------------------------------+
| week merit median q3 q1 |
|------------------------------------------|
1. | 2018w26 4457 733 991 609 |
2. | 2018w27 4253 715 979 598 |
3. | 2018w28 4239 707 963 592 |
4. | 2018w29 4159 693 922 589 |
5. | 2018w30 3652 684 902 577 |
|------------------------------------------|
6. | 2018w31 3798 682 891 575 |
7. | 2018w32 3994 675 880 567 |
8. | 2018w33 3618 667 867 559 |
9. | 2018w34 3789 652 848 555 |
10. | 2018w35 3065 642 844 537 |
|------------------------------------------|
11. | 2018w36 3574 639 838 528 |
12. | 2018w37 5630 634 829 528 |
13. | 2018w38 7825 641 846 530 |
14. | 2018w39 4388 640 839 531 |
15. | 2018w40 4271 639 829 528 |
|------------------------------------------|
16. | 2018w41 3800 637 808 528 |
17. | 2018w42 4821 639 807 530 |
18. | 2018w43 3945 639 801 528 |
19. | 2018w44 3339 628 796 521 |
20. | 2018w45 4513 630 789 522 |
|------------------------------------------|
21. | 2018w46 3722 626 786 521 |
22. | 2018w48 3750 626 774 521 |
23. | 2018w49 3560 621.5 773 517 |
24. | 2018w50 3782 619 768 517 |
25. | 2018w51 3753 618.5 766.5 515 |
|------------------------------------------|
26. | 2018w52 3278 616.5 762.5 509.5 |
27. | 2019w1 4793 616 766 510 |
28. | 2019w2 6624 618.5 773 513 |
29. | 2019w3 5306 620 774 514 |
30. | 2019w4 4659 621.5 770.5 516.5 |
|------------------------------------------|
31. | 2019w5 4474 620 773 516 |
32. | 2019w6 4318 619.5 768 517 |
33. | 2019w7 4207 618 767 519 |
34. | 2019w8 4507 618.5 766.5 518.5 |
35. | 2019w9 4625 619 766 518 |
|------------------------------------------|
36. | 2019w10 4901 623 764 521 |
37. | 2019w11 4318 623 761 521 |
38. | 2019w12 4598 625.5 759.5 521 |
39. | 2019w13 6120 626 764 522 |
40. | 2019w14 4418 626 760 523 |
|------------------------------------------|

List of median, q1, q3 of intra-day merits over weeks, in descending orders of medians.

Code:

. list week merit median q1 q3

+------------------------------------------+
| week merit median q1 q3 |
|------------------------------------------|
1. | 2019w1 4793 616 510 766 |
2. | 2018w52 3278 616.5 509.5 762.5 |
3. | 2019w7 4207 618 519 767 |
4. | 2019w2 6624 618.5 513 773 |
5. | 2018w51 3753 618.5 515 766.5 |
|------------------------------------------|
6. | 2019w8 4507 618.5 518.5 766.5 |
7. | 2019w9 4625 619 518 766 |
8. | 2018w50 3782 619 517 768 |
9. | 2019w6 4318 619.5 517 768 |
10. | 2019w3 5306 620 514 774 |
|------------------------------------------|
11. | 2019w5 4474 620 516 773 |
12. | 2019w4 4659 621.5 516.5 770.5 |
13. | 2018w49 3560 621.5 517 773 |
14. | 2019w11 4318 623 521 761 |
15. | 2019w10 4901 623 521 764 |
|------------------------------------------|
16. | 2019w12 4598 625.5 521 759.5 |
17. | 2019w13 6120 626 522 764 |
18. | 2018w46 3722 626 521 786 |
19. | 2019w14 4418 626 523 760 |
20. | 2018w48 3750 626 521 774 |
|------------------------------------------|
21. | 2018w44 3339 628 521 796 |
22. | 2018w45 4513 630 522 789 |
23. | 2018w37 5630 634 528 829 |
24. | 2018w41 3800 637 528 808 |
25. | 2018w43 3945 639 528 801 |
|------------------------------------------|
26. | 2018w36 3574 639 528 838 |
27. | 2018w42 4821 639 530 807 |
28. | 2018w40 4271 639 528 829 |
29. | 2018w39 4388 640 531 839 |
30. | 2018w38 7825 641 530 846 |
|------------------------------------------|
31. | 2018w35 3065 642 537 844 |
32. | 2018w34 3789 652 555 848 |
33. | 2018w33 3618 667 559 867 |
34. | 2018w32 3994 675 567 880 |
35. | 2018w31 3798 682 575 891 |
|------------------------------------------|
36. | 2018w30 3652 684 577 902 |
37. | 2018w29 4159 693 589 922 |
38. | 2018w28 4239 707 592 963 |
39. | 2018w27 4253 715 598 979 |
40. | 2018w26 4457 733 609 991 |
|------------------------------------------|

Data source:
- From LoyceV's weekly data dumps.
- From my converted datasets in the topic: Time Series Analysis on Distributed Merits in the forum (daily, weekly, monthly)

tranthidung

legendary

Activity: 2170

Merit: 3858

Farewell o_e_l_e_o

It is the list of weeks in descending orders of median of intra-day merits. The minimum median is 616, on the week #2019w1, while the maximum median is 733, on the week #2018w26.

Code:

. list week merit median q1 q3

+------------------------------------------+
| week merit median q1 q3 |
|------------------------------------------|
1. | 2019w1 4793 616 510 766 |
2. | 2018w52 3278 616.5 509.5 762.5 |
3. | 2019w7 4207 618 519 767 |
4. | 2019w8 4507 618.5 518.5 766.5 |
5. | 2018w51 3753 618.5 515 766.5 |
|------------------------------------------|
6. | 2019w2 6624 618.5 513 773 |
7. | 2018w50 3782 619 517 768 |
8. | 2019w9 4625 619 518 766 |
9. | 2019w6 4318 619.5 517 768 |
10. | 2019w5 4474 620 516 773 |
|------------------------------------------|
11. | 2019w3 5306 620 514 774 |
12. | 2019w4 4659 621.5 516.5 770.5 |
13. | 2018w49 3560 621.5 517 773 |
14. | 2019w10 4901 623 521 764 |
15. | 2019w11 4318 623 521 761 |
|------------------------------------------|
16. | 2019w12 4598 625.5 521 759.5 |
17. | 2018w46 3722 626 521 786 |
18. | 2019w13 6120 626 522 764 |
19. | 2018w48 3750 626 521 774 |
20. | 2018w44 3339 628 521 796 |
|------------------------------------------|
21. | 2018w45 4513 630 522 789 |
22. | 2018w37 5630 634 528 829 |
23. | 2018w41 3800 637 528 808 |
24. | 2018w36 3574 639 528 838 |
25. | 2018w42 4821 639 530 807 |
|------------------------------------------|
26. | 2018w40 4271 639 528 829 |
27. | 2018w43 3945 639 528 801 |
28. | 2018w39 4388 640 531 839 |
29. | 2018w38 7825 641 530 846 |
30. | 2018w35 3065 642 537 844 |
|------------------------------------------|
31. | 2018w34 3789 652 555 848 |
32. | 2018w33 3618 667 559 867 |
33. | 2018w32 3994 675 567 880 |
34. | 2018w31 3798 682 575 891 |
35. | 2018w30 3652 684 577 902 |
|------------------------------------------|
36. | 2018w29 4159 693 589 922 |
37. | 2018w28 4239 707 592 963 |
38. | 2018w27 4253 715 598 979 |
39. | 2018w26 4457 733 609 991 |

tranthidung

legendary

Activity: 2170

Merit: 3858

Farewell o_e_l_e_o

tranthidung

legendary

Activity: 2170

Merit: 3858

Farewell o_e_l_e_o

INTERQUARTILE RANGE OF INTRA-DAY MERITS WITH TIME SERIES PLOT

(1) Updates will be published on weekly basis.
(2) Updates will be posted in the last thread of the topic (not in the OP) at specific point of time.

Quote from: tranthidung on April 08, 2019, 07:07:07 PM

Will edit this part later
In short, again, interquartile range represents for 50% of observed data points.
For instance, if you have 100 data points (100 days over weeks), the interquartile range will represents for 50 datapoints in the 'middle range', that ranges from the 25th quartile to the 75th quartile. Interquartile range has its role to exclude outliers, such as maximum, minimum and some extreme large and small data points closely with max and min.
In the same way, median represents nearly the true mean (average) of observed data. It is better than what we usually use, mean or average.
Both median and interquartile range exclude effects from outliers.

Time series plot of median and interquartile range

Notes:
- p25 ~q1;
- p75 ~ q3.
The interquartile range (IQR) ranges from p25 (q1) to p75 (q3), and the IQR represents 50% of observed days.
For example, with the week #2019w13, 50% of of days observed till the end of #2019w13 have their total intra-day merits change from 522 (p25 ~ q1) to 764 (p75 ~ q3).
The median of the same period is 626, it means that there are 50% of observed days have intra-day merits below 626, while the rest 50% of observed days have intra-day merits above 626.

Code:

. list week merit median q1 q3

   +------------------------------------------+
   | week merit median q1 q3 |
   |------------------------------------------|
39. | 2019w13 6120 626 522 764 |

Dataset for median, interquartile range of intraday merits

Code:

. list week merit median q1 q3

   +------------------------------------------+
   | week merit median q1 q3 |
   |------------------------------------------|
  1. | 2018w26 4457 733 609 991 |
  2. | 2018w27 4253 715 598 979 |
  3. | 2018w28 4239 707 592 963 |
  4. | 2018w29 4159 693 589 922 |
  5. | 2018w30 3652 684 577 902 |
   |------------------------------------------|
  6. | 2018w31 3798 682 575 891 |
  7. | 2018w32 3994 675 567 880 |
  8. | 2018w33 3618 667 559 867 |
  9. | 2018w34 3789 652 555 848 |
10. | 2018w35 3065 642 537 844 |
   |------------------------------------------|
11. | 2018w36 3574 639 528 838 |
12. | 2018w37 5630 634 528 829 |
13. | 2018w38 7825 641 530 846 |
14. | 2018w39 4388 640 531 839 |
15. | 2018w40 4271 639 528 829 |
   |------------------------------------------|
16. | 2018w41 3800 637 528 808 |
17. | 2018w42 4821 639 530 807 |
18. | 2018w43 3945 639 528 801 |
19. | 2018w44 3339 628 521 796 |
20. | 2018w45 4513 630 522 789 |
   |------------------------------------------|
21. | 2018w46 3722 626 521 786 |
22. | 2018w48 3750 626 521 774 |
23. | 2018w49 3560 621.5 517 773 |
24. | 2018w50 3782 619 517 768 |
25. | 2018w51 3753 618.5 515 766.5 |
   |------------------------------------------|
26. | 2018w52 3278 616.5 509.5 762.5 |
27. | 2019w1 4793 616 510 766 |
28. | 2019w2 6624 618.5 513 773 |
29. | 2019w3 5306 620 514 774 |
30. | 2019w4 4659 621.5 516.5 770.5 |
   |------------------------------------------|
31. | 2019w5 4474 620 516 773 |
32. | 2019w6 4318 619.5 517 768 |
33. | 2019w7 4207 618 519 767 |
34. | 2019w8 4507 618.5 518.5 766.5 |
35. | 2019w9 4625 619 518 766 |
   |------------------------------------------|
36. | 2019w10 4901 623 521 764 |
37. | 2019w11 4318 623 521 761 |
38. | 2019w12 4598 625.5 521 759.5 |
39. | 2019w13 6120 626 522 764 |

Data source:
- From LoyceV's weekly data dumps.
- From my converted datasets in the topic: Time Series Analysis on Distributed Merits in the forum (daily, weekly, monthly)

Topic: Interquartile range of intra-day merits with time series plot - page 2. (Read 976 times)