Update 2020w27ABSTRACT- Period: 2018w4 - 2020w28 10jul2020 02:49:07 (GMT time).
- Observed weeks: 127
- Incomple weeks: 2018w4, 2020w28.
- The last merit transaction is at 10jul2020 02:49:07 (GMT time)
List of top 100 merit earners, sorted descendingly by sum of earned merits: +-------------------------------------------------------+
| rank_total username userid total |
|-------------------------------------------------------|
1. | 1 theymos 35 6859 |
2. | 2 LoyceV 459836 5595 |
3. | 3 o_e_l_e_o 1188543 4428 |
4. | 4 suchmoon 234771 4300 |
5. | 5 DdmrDdmr 1582324 3947 |
|-------------------------------------------------------|
6. | 6 El duderino_ 1067333 3750 |
7. | 7 fillippone 1852120 3591 |
8. | 8 Last of the V8s 479624 3348 |
9. | 9 gmaxwell 11425 3079 |
10. | 10 mikeywith 2033515 2670 |
|-------------------------------------------------------|
11. | 11 The Pharmacist 487418 2534 |
12. | 12 LFC_Bitcoin 379487 2425 |
13. | 13 nutildah 317618 2413 |
14. | 14 achow101 290195 2373 |
15. | 15 1miau 2143453 2347 |
|-------------------------------------------------------|
16. | 16 satoshi 3 2320 |
17. | 17 VB1001 1138727 2125 |
18. | 18 xhomerx10 120694 2067 |
19. | 19 HCP 867786 2054 |
20. | 20 Hhampuz 881377 2016 |
|-------------------------------------------------------|
21. | 21 TheBeardedBaby 1291828 2012 |
22. | 22 JayJuanGee 252510 1940 |
23. | 23 hilariousetc 397737 1932 |
24. | 24 abhiseshakana 1878246 1876 |
25. | 25 TryNinja 557798 1876 |
|-------------------------------------------------------|
26. | 26 pooya87 379147 1840 |
27. | 27 DireWolfM14 2003859 1773 |
28. | 28 gentlemand 155345 1742 |
29. | 29 HairyMaclairy 181806 1706 |
30. | 30 Steamtyme 1112531 1644 |
|-------------------------------------------------------|
31. | 31 Lauda 101872 1640 |
32. | 32 bob123 579628 1630 |
33. | 33 qwk 24140 1629 |
34. | 34 nullius 976210 1629 |
35. | 35 xtraelv 897509 1603 |
|-------------------------------------------------------|
36. | 36 Ratimov 2627711 1601 |
37. | 37 Vod 30747 1586 |
38. | 38 marlboroza 787736 1582 |
39. | 39 tranthidung 1292764 1548 |
40. | 40 bitmover 1554927 1544 |
|-------------------------------------------------------|
41. | 41 krogothmanhattan 1000199 1537 |
42. | 42 yogg 140827 1522 |
43. | 43 BitCryptex 1169179 1503 |
44. | 44 Toxic2040 239406 1497 |
45. | 45 roycilik 1051955 1481 |
|-------------------------------------------------------|
46. | 46 jojo69 49008 1457 |
47. | 47 witcher_sense 1433865 1449 |
48. | 48 yahoo62278 355846 1442 |
49. | 49 Veleor 1177936 1435 |
50. | 50 BobLawblaw 569455 1426 |
|-------------------------------------------------------|
51. | 51 Jet Cash 698159 1425 |
52. | 52 philipma1957 64507 1423 |
53. | 53 joniboni 1275282 1413 |
54. | 54 mocacino 405464 1407 |
55. | 55 ETFbitcoin 359716 1400 |
|-------------------------------------------------------|
56. | 56 hugeblack 1059082 1390 |
57. | 57 morvillz7z 1825672 1385 |
58. | 58 Husna QA 1827294 1379 |
59. | 59 DarkStar_ 507936 1375 |
60. | 60 CryptopreneurBrainboss 1052091 1346 |
|-------------------------------------------------------|
61. | 61 mu_enrico 1574226 1345 |
62. | 62 Coding Enthusiast 879277 1306 |
63. | 63 TMAN 98986 1303 |
64. | 64 nc50lc 1237156 1302 |
65. | 65 Coolcryptovator 1980983 1293 |
|-------------------------------------------------------|
66. | 66 coinlocket$ 1339716 1292 |
67. | 67 mole0815 1424178 1280 |
68. | 68 taikuri13 1855828 1274 |
69. | 69 tvplus006 1311641 1256 |
70. | 70 Carlton Banks 64205 1254 |
|-------------------------------------------------------|
71. | 71 mk4 886521 1215 |
72. | 72 lovesmayfamilis 1982152 1215 |
73. | 73 minerjones 346731 1184 |
74. | 74 asche 1580039 1170 |
75. | 75 Kalemder 487377 1166 |
|-------------------------------------------------------|
76. | 76 Piggy 188198 1158 |
77. | 77 Goran_ 1039323 1155 |
78. | 78 Rikafip 2658890 1154 |
79. | 79 Plutosky 1237522 1151 |
80. | 80 zasad@ 2654005 1145 |
|-------------------------------------------------------|
81. | 81 OmegaStarScream 375981 1145 |
82. | 82 SaltySpitoon 38894 1138 |
83. | 83 stompix 164749 1130 |
84. | 84 Lakai01 1724800 1113 |
85. | 85 aundroid 1015954 1103 |
|-------------------------------------------------------|
86. | 86 LeGaulois 507856 1102 |
87. | 87 Xal0lex 1068464 1100 |
88. | 88 PHI16168 1071136 1097 |
89. | 89 masulum 1283017 1095 |
90. | 90 tyKiwanuka 1025255 1075 |
|-------------------------------------------------------|
91. | 91 dkbit98 1410401 1074 |
92. | 92 infofront 41175 1064 |
93. | 93 Welsh 84521 1058 |
94. | 94 Lafu 805820 1049 |
95. | 95 wwzsocki 131333 1045 |
|-------------------------------------------------------|
96. | 96 madnessteat 1894120 1037 |
97. | 97 mindrust 176777 1034 |
98. | 98 Corrosive 2005913 1027 |
99. | 99 JSRAW 1210969 1025 |
100. | 100 theyoungmillionaire 1180530 1013 |
+-------------------------------------------------------+
Algorithm: The idea are a narrower IQR and higher p25 are better. IQR plays its role as spread of weekly earned merits. p25 plays its role as lower threshold of 50% weekly earned merits. - Descending median
- Ascending IQR (IQR = p75 - p25)
- Descending p25
The new algorithm means if 2 users have same median, their ranks will be decided by IQR, which user has lower IQR will have higher position in the list. Next, if 2 users still have same IQR, the last indicator will be used: p25. The user has higher p25 value will have higher position. +----------------------------------------------------------------------------------------+
| rank_median username userid median iqr p25 p75 min max |
|----------------------------------------------------------------------------------------|
1. | 1 LoyceV 459836 40 35 23 58 2 115 |
2. | 2 o_e_l_e_o 1188543 33 29 17 46 0 101 |
3. | 3 suchmoon 234771 29 29 17 46 0 148 |
4. | 4 El duderino_ 1067333 27 22 17 39 0 100 |
5. | 5 DdmrDdmr 1582324 25 26 15 41 0 106 |
|----------------------------------------------------------------------------------------|
6. | 6 Last of the V8s 479624 23 26 11 37 0 118 |
7. | 7 fillippone 1852120 20 45 0 45 0 141 |
8. | 8 theymos 35 20 47 10 57 0 1328 |
9. | 9 mikeywith 2033515 18 31 0 31 0 92 |
10. | 10 nutildah 317618 16 24 2 26 0 94 |
|----------------------------------------------------------------------------------------|
11. | 11 achow101 290195 15 16 8 24 0 77 |
12. | 12 The Pharmacist 487418 15 18 9 27 0 93 |
13. | 13 LFC_Bitcoin 379487 15 21 6 27 0 73 |
14. | 14 JayJuanGee 252510 14 15 6 21 0 54 |
15. | 15 VB1001 1138727 14 27 0 27 0 98 |
|----------------------------------------------------------------------------------------|
16. | 16 gmaxwell 11425 13 26 4 30 0 178 |
17. | 17 HairyMaclairy 181806 12 13 5 18 0 56 |
18. | 18 pooya87 379147 12 15 6 21 0 48 |
19. | 19 xhomerx10 120694 12 15 5 20 0 121 |
20. | 20 HCP 867786 12 17 5 22 0 69 |
|----------------------------------------------------------------------------------------|
21. | 21 1miau 2143453 12 23 3 26 0 100 |
22. | 22 TryNinja 557798 11 12 6 18 0 173 |
23. | 23 TheBeardedBaby 1291828 11 20 5 25 0 52 |
24. | 24 philipma1957 64507 10 11 5 16 0 38 |
25. | 25 gentlemand 155345 10 13 5 18 1 74 |
|----------------------------------------------------------------------------------------|
26. | 26 abhiseshakana 1878246 10 18 3 21 0 73 |
27. | 27 hilariousetc 397737 10 19 2 21 0 90 |
28. | 28 BobLawblaw 569455 9 10 5 15 0 55 |
29. | 29 ETFbitcoin 359716 9 10 4 14 0 50 |
30. | 30 marlboroza 787736 9 11 4 15 0 79 |
|----------------------------------------------------------------------------------------|
31. | 31 bitmover 1554927 9 12 4 16 0 127 |
32. | 32 hugeblack 1059082 9 13 2 15 0 62 |
33. | 33 qwk 24140 9 15 3 18 0 88 |
34. | 34 Goran_ 1039323 8 9 4 13 0 36 |
35. | 35 jojo69 49008 8 10 4 14 0 102 |
|----------------------------------------------------------------------------------------|
36. | 36 taikuri13 1855828 8 12 4 16 0 36 |
37. | 37 mu_enrico 1574226 8 13 2 15 0 78 |
38. | 38 Steamtyme 1112531 8 14 3 17 0 115 |
39. | 39 krogothmanhattan 1000199 8 14 2 16 0 77 |
40. | 40 morvillz7z 1825672 8 14 1 15 0 58 |
|----------------------------------------------------------------------------------------|
41. | 41 DireWolfM14 2003859 8 18 1 19 0 84 |
42. | 42 Vod 30747 7 10 3 13 0 158 |
43. | 43 Carlton Banks 64205 7 10 3 13 0 76 |
44. | 44 mk4 886521 7 10 3 13 0 52 |
45. | 45 joniboni 1275282 7 11 4 15 0 54 |
|----------------------------------------------------------------------------------------|
46. | 46 mocacino 405464 7 11 4 15 0 50 |
47. | 47 Coolcryptovator 1980983 7 11 3 14 0 64 |
48. | 48 nc50lc 1237156 7 11 2 13 0 68 |
49. | 49 DarkStar_ 507936 7 11 2 13 0 78 |
50. | 50 Husna QA 1827294 7 12 3 15 0 62 |
|----------------------------------------------------------------------------------------|
51. | 51 BitCryptex 1169179 7 12 3 15 0 126 |
52. | 52 yogg 140827 7 12 2 14 0 91 |
53. | 53 Jet Cash 698159 7 13 2 15 0 65 |
54. | 54 minerjones 346731 7 13 1 14 0 67 |
55. | 55 tvplus006 1311641 7 15 1 16 0 42 |
|----------------------------------------------------------------------------------------|
56. | 56 roycilik 1051955 7 16 2 18 0 48 |
57. | 57 Veleor 1177936 7 16 0 16 0 90 |
58. | 58 bob123 579628 7 17 2 19 0 68 |
59. | 59 witcher_sense 1433865 7 18 0 18 0 76 |
60. | 60 Hhampuz 881377 7 19 3 22 0 92 |
|----------------------------------------------------------------------------------------|
61. | 61 Toxic2040 239406 7 20 0 20 0 105 |
62. | 62 LeGaulois 507856 6 8 3 11 0 64 |
63. | 63 mindrust 176777 6 8 2 10 0 55 |
64. | 64 stompix 164749 6 9 3 12 0 62 |
65. | 65 Lafu 805820 6 9 2 11 0 41 |
|----------------------------------------------------------------------------------------|
66. | 66 infofront 41175 6 10 2 12 0 74 |
67. | 67 asche 1580039 6 10 2 12 0 50 |
68. | 68 coinlocket$ 1339716 6 10 2 12 0 98 |
69. | 69 OmegaStarScream 375981 6 11 2 13 0 43 |
70. | 70 Plutosky 1237522 6 12 2 14 0 43 |
|----------------------------------------------------------------------------------------|
71. | 71 tranthidung 1292764 6 16 1 17 0 98 |
72. | 72 CryptopreneurBrainboss 1052091 6 16 0 16 0 81 |
73. | 73 xtraelv 897509 6 17 1 18 0 104 |
74. | 74 Xal0lex 1068464 5 9 2 11 0 116 |
75. | 75 mole0815 1424178 5 11 2 13 0 73 |
|----------------------------------------------------------------------------------------|
76. | 76 yahoo62278 355846 5 11 2 13 0 130 |
77. | 77 Coding Enthusiast 879277 5 12 0 12 0 116 |
78. | 78 JSRAW 1210969 5 13 0 13 0 76 |
79. | 79 Lauda 101872 5 15 1 16 0 238 |
80. | 80 aundroid 1015954 4 7 1 8 0 64 |
|----------------------------------------------------------------------------------------|
81. | 81 Welsh 84521 4 8 1 9 0 103 |
82. | 82 Lakai01 1724800 4 10 1 11 0 63 |
83. | 83 lovesmayfamilis 1982152 4 16 0 16 0 45 |
84. | 84 satoshi 3 4 19 1 20 0 482 |
85. | 85 PHI16168 1071136 3 8 0 8 0 85 |
|----------------------------------------------------------------------------------------|
86. | 86 wwzsocki 131333 3 10 1 11 0 70 |
87. | 87 SaltySpitoon 38894 3 12 0 12 0 94 |
88. | 88 madnessteat 1894120 3 13 0 13 0 54 |
89. | 89 Piggy 188198 2 13 0 13 0 85 |
90. | 90 Kalemder 487377 1 7 0 7 0 161 |
|----------------------------------------------------------------------------------------|
91. | 91 TMAN 98986 1 9 0 9 0 275 |
92. | 92 tyKiwanuka 1025255 1 10 0 10 0 107 |
93. | 93 nullius 976210 0 5 0 5 0 180 |
94. | 94 Corrosive 2005913 0 5 0 5 0 172 |
95. | 95 theyoungmillionaire 1180530 0 10 0 10 0 104 |
|----------------------------------------------------------------------------------------|
96. | 96 zasad@ 2654005 0 12 0 12 0 72 |
97. | 97 masulum 1283017 0 13 0 13 0 61 |
98. | 98 dkbit98 1410401 0 13 0 13 0 63 |
99. | 99 Rikafip 2658890 0 14 0 14 0 100 |
100. | 100 Ratimov 2627711 0 24 0 24 0 93 |
+----------------------------------------------------------------------------------------+
|
|
|
|
I am sorry for the very late update.  Converted dataset: - In 2020 at 10jul2020 02:49:07 (GMT time)
- The last one, with dayid = 899 is an incomplete day.
+-----------------------------------------------------------------+
| dayid date merit dofw week month year |
|-----------------------------------------------------------------|
708. | 708 01jan2020 810 Wednesday 2020w1 2020m1 2020 |
709. | 709 02jan2020 854 Thursday 2020w1 2020m1 2020 |
710. | 710 03jan2020 837 Friday 2020w1 2020m1 2020 |
711. | 711 04jan2020 637 Saturday 2020w1 2020m1 2020 |
712. | 712 05jan2020 777 Sunday 2020w1 2020m1 2020 |
|-----------------------------------------------------------------|
713. | 713 06jan2020 959 Monday 2020w1 2020m1 2020 |
714. | 714 07jan2020 871 Tuesday 2020w1 2020m1 2020 |
715. | 715 08jan2020 860 Wednesday 2020w2 2020m1 2020 |
716. | 716 09jan2020 733 Thursday 2020w2 2020m1 2020 |
717. | 717 10jan2020 745 Friday 2020w2 2020m1 2020 |
|-----------------------------------------------------------------|
718. | 718 11jan2020 743 Saturday 2020w2 2020m1 2020 |
719. | 719 12jan2020 689 Sunday 2020w2 2020m1 2020 |
720. | 720 13jan2020 754 Monday 2020w2 2020m1 2020 |
721. | 721 14jan2020 871 Tuesday 2020w2 2020m1 2020 |
722. | 722 15jan2020 979 Wednesday 2020w3 2020m1 2020 |
|-----------------------------------------------------------------|
723. | 723 16jan2020 972 Thursday 2020w3 2020m1 2020 |
724. | 724 17jan2020 1063 Friday 2020w3 2020m1 2020 |
725. | 725 18jan2020 823 Saturday 2020w3 2020m1 2020 |
726. | 726 19jan2020 1192 Sunday 2020w3 2020m1 2020 |
727. | 727 20jan2020 1136 Monday 2020w3 2020m1 2020 |
|-----------------------------------------------------------------|
728. | 728 21jan2020 1082 Tuesday 2020w3 2020m1 2020 |
729. | 729 22jan2020 863 Wednesday 2020w4 2020m1 2020 |
730. | 730 23jan2020 1050 Thursday 2020w4 2020m1 2020 |
731. | 731 24jan2020 1061 Friday 2020w4 2020m1 2020 |
732. | 732 25jan2020 1043 Saturday 2020w4 2020m1 2020 |
|-----------------------------------------------------------------|
733. | 733 26jan2020 715 Sunday 2020w4 2020m1 2020 |
734. | 734 27jan2020 961 Monday 2020w4 2020m1 2020 |
735. | 735 28jan2020 953 Tuesday 2020w4 2020m1 2020 |
736. | 736 29jan2020 1051 Wednesday 2020w5 2020m1 2020 |
737. | 737 30jan2020 1125 Thursday 2020w5 2020m1 2020 |
|-----------------------------------------------------------------|
738. | 738 31jan2020 1072 Friday 2020w5 2020m1 2020 |
739. | 739 01feb2020 705 Saturday 2020w5 2020m2 2020 |
740. | 740 02feb2020 836 Sunday 2020w5 2020m2 2020 |
741. | 741 03feb2020 908 Monday 2020w5 2020m2 2020 |
742. | 742 04feb2020 1059 Tuesday 2020w5 2020m2 2020 |
|-----------------------------------------------------------------|
743. | 743 05feb2020 873 Wednesday 2020w6 2020m2 2020 |
744. | 744 06feb2020 932 Thursday 2020w6 2020m2 2020 |
745. | 745 07feb2020 800 Friday 2020w6 2020m2 2020 |
746. | 746 08feb2020 763 Saturday 2020w6 2020m2 2020 |
747. | 747 09feb2020 724 Sunday 2020w6 2020m2 2020 |
|-----------------------------------------------------------------|
748. | 748 10feb2020 812 Monday 2020w6 2020m2 2020 |
749. | 749 11feb2020 669 Tuesday 2020w6 2020m2 2020 |
750. | 750 12feb2020 596 Wednesday 2020w7 2020m2 2020 |
751. | 751 13feb2020 1047 Thursday 2020w7 2020m2 2020 |
752. | 752 14feb2020 1041 Friday 2020w7 2020m2 2020 |
|-----------------------------------------------------------------|
753. | 753 15feb2020 890 Saturday 2020w7 2020m2 2020 |
754. | 754 16feb2020 790 Sunday 2020w7 2020m2 2020 |
755. | 755 17feb2020 1364 Monday 2020w7 2020m2 2020 |
756. | 756 18feb2020 1195 Tuesday 2020w7 2020m2 2020 |
757. | 757 19feb2020 1004 Wednesday 2020w8 2020m2 2020 |
|-----------------------------------------------------------------|
758. | 758 20feb2020 782 Thursday 2020w8 2020m2 2020 |
759. | 759 21feb2020 1050 Friday 2020w8 2020m2 2020 |
760. | 760 22feb2020 729 Saturday 2020w8 2020m2 2020 |
761. | 761 23feb2020 724 Sunday 2020w8 2020m2 2020 |
762. | 762 24feb2020 1037 Monday 2020w8 2020m2 2020 |
|-----------------------------------------------------------------|
763. | 763 25feb2020 988 Tuesday 2020w8 2020m2 2020 |
764. | 764 26feb2020 857 Wednesday 2020w9 2020m2 2020 |
765. | 765 27feb2020 960 Thursday 2020w9 2020m2 2020 |
766. | 766 28feb2020 678 Friday 2020w9 2020m2 2020 |
767. | 767 29feb2020 662 Saturday 2020w9 2020m2 2020 |
|-----------------------------------------------------------------|
768. | 768 01mar2020 651 Sunday 2020w9 2020m3 2020 |
769. | 769 02mar2020 755 Monday 2020w9 2020m3 2020 |
770. | 770 03mar2020 674 Tuesday 2020w9 2020m3 2020 |
771. | 771 04mar2020 572 Wednesday 2020w10 2020m3 2020 |
772. | 772 05mar2020 727 Thursday 2020w10 2020m3 2020 |
|-----------------------------------------------------------------|
773. | 773 06mar2020 622 Friday 2020w10 2020m3 2020 |
774. | 774 07mar2020 697 Saturday 2020w10 2020m3 2020 |
775. | 775 08mar2020 670 Sunday 2020w10 2020m3 2020 |
776. | 776 09mar2020 634 Monday 2020w10 2020m3 2020 |
777. | 777 10mar2020 700 Tuesday 2020w10 2020m3 2020 |
|-----------------------------------------------------------------|
778. | 778 11mar2020 800 Wednesday 2020w11 2020m3 2020 |
779. | 779 12mar2020 790 Thursday 2020w11 2020m3 2020 |
780. | 780 13mar2020 748 Friday 2020w11 2020m3 2020 |
781. | 781 14mar2020 562 Saturday 2020w11 2020m3 2020 |
782. | 782 15mar2020 528 Sunday 2020w11 2020m3 2020 |
|-----------------------------------------------------------------|
783. | 783 16mar2020 888 Monday 2020w11 2020m3 2020 |
784. | 784 17mar2020 793 Tuesday 2020w11 2020m3 2020 |
785. | 785 18mar2020 1090 Wednesday 2020w12 2020m3 2020 |
786. | 786 19mar2020 867 Thursday 2020w12 2020m3 2020 |
787. | 787 20mar2020 999 Friday 2020w12 2020m3 2020 |
|-----------------------------------------------------------------|
788. | 788 21mar2020 628 Saturday 2020w12 2020m3 2020 |
789. | 789 22mar2020 549 Sunday 2020w12 2020m3 2020 |
790. | 790 23mar2020 683 Monday 2020w12 2020m3 2020 |
791. | 791 24mar2020 787 Tuesday 2020w12 2020m3 2020 |
792. | 792 25mar2020 786 Wednesday 2020w13 2020m3 2020 |
|-----------------------------------------------------------------|
793. | 793 26mar2020 855 Thursday 2020w13 2020m3 2020 |
794. | 794 27mar2020 934 Friday 2020w13 2020m3 2020 |
795. | 795 28mar2020 658 Saturday 2020w13 2020m3 2020 |
796. | 796 29mar2020 452 Sunday 2020w13 2020m3 2020 |
797. | 797 30mar2020 909 Monday 2020w13 2020m3 2020 |
|-----------------------------------------------------------------|
798. | 798 31mar2020 798 Tuesday 2020w13 2020m3 2020 |
799. | 799 01apr2020 858 Wednesday 2020w14 2020m4 2020 |
800. | 800 02apr2020 1062 Thursday 2020w14 2020m4 2020 |
801. | 801 03apr2020 805 Friday 2020w14 2020m4 2020 |
802. | 802 04apr2020 943 Saturday 2020w14 2020m4 2020 |
|-----------------------------------------------------------------|
803. | 803 05apr2020 661 Sunday 2020w14 2020m4 2020 |
804. | 804 06apr2020 846 Monday 2020w14 2020m4 2020 |
805. | 805 07apr2020 886 Tuesday 2020w14 2020m4 2020 |
806. | 806 08apr2020 875 Wednesday 2020w15 2020m4 2020 |
807. | 807 09apr2020 687 Thursday 2020w15 2020m4 2020 |
|-----------------------------------------------------------------|
808. | 808 10apr2020 758 Friday 2020w15 2020m4 2020 |
809. | 809 11apr2020 615 Saturday 2020w15 2020m4 2020 |
810. | 810 12apr2020 660 Sunday 2020w15 2020m4 2020 |
811. | 811 13apr2020 592 Monday 2020w15 2020m4 2020 |
812. | 812 14apr2020 907 Tuesday 2020w15 2020m4 2020 |
|-----------------------------------------------------------------|
813. | 813 15apr2020 734 Wednesday 2020w16 2020m4 2020 |
814. | 814 16apr2020 763 Thursday 2020w16 2020m4 2020 |
815. | 815 17apr2020 827 Friday 2020w16 2020m4 2020 |
816. | 816 18apr2020 752 Saturday 2020w16 2020m4 2020 |
817. | 817 19apr2020 627 Sunday 2020w16 2020m4 2020 |
|-----------------------------------------------------------------|
818. | 818 20apr2020 626 Monday 2020w16 2020m4 2020 |
819. | 819 21apr2020 723 Tuesday 2020w16 2020m4 2020 |
820. | 820 22apr2020 700 Wednesday 2020w17 2020m4 2020 |
821. | 821 23apr2020 687 Thursday 2020w17 2020m4 2020 |
822. | 822 24apr2020 706 Friday 2020w17 2020m4 2020 |
|-----------------------------------------------------------------|
823. | 823 25apr2020 639 Saturday 2020w17 2020m4 2020 |
824. | 824 26apr2020 663 Sunday 2020w17 2020m4 2020 |
825. | 825 27apr2020 654 Monday 2020w17 2020m4 2020 |
826. | 826 28apr2020 490 Tuesday 2020w17 2020m4 2020 |
827. | 827 29apr2020 795 Wednesday 2020w18 2020m4 2020 |
|-----------------------------------------------------------------|
828. | 828 30apr2020 983 Thursday 2020w18 2020m4 2020 |
829. | 829 01may2020 1099 Friday 2020w18 2020m5 2020 |
830. | 830 02may2020 745 Saturday 2020w18 2020m5 2020 |
831. | 831 03may2020 716 Sunday 2020w18 2020m5 2020 |
832. | 832 04may2020 659 Monday 2020w18 2020m5 2020 |
|-----------------------------------------------------------------|
833. | 833 05may2020 702 Tuesday 2020w18 2020m5 2020 |
834. | 834 06may2020 707 Wednesday 2020w19 2020m5 2020 |
835. | 835 07may2020 852 Thursday 2020w19 2020m5 2020 |
836. | 836 08may2020 734 Friday 2020w19 2020m5 2020 |
837. | 837 09may2020 806 Saturday 2020w19 2020m5 2020 |
|-----------------------------------------------------------------|
838. | 838 10may2020 919 Sunday 2020w19 2020m5 2020 |
839. | 839 11may2020 988 Monday 2020w19 2020m5 2020 |
840. | 840 12may2020 642 Tuesday 2020w19 2020m5 2020 |
841. | 841 13may2020 734 Wednesday 2020w20 2020m5 2020 |
842. | 842 14may2020 929 Thursday 2020w20 2020m5 2020 |
|-----------------------------------------------------------------|
843. | 843 15may2020 681 Friday 2020w20 2020m5 2020 |
844. | 844 16may2020 749 Saturday 2020w20 2020m5 2020 |
845. | 845 17may2020 1198 Sunday 2020w20 2020m5 2020 |
846. | 846 18may2020 728 Monday 2020w20 2020m5 2020 |
847. | 847 19may2020 783 Tuesday 2020w20 2020m5 2020 |
|-----------------------------------------------------------------|
848. | 848 20may2020 759 Wednesday 2020w21 2020m5 2020 |
849. | 849 21may2020 774 Thursday 2020w21 2020m5 2020 |
850. | 850 22may2020 805 Friday 2020w21 2020m5 2020 |
851. | 851 23may2020 731 Saturday 2020w21 2020m5 2020 |
852. | 852 24may2020 598 Sunday 2020w21 2020m5 2020 |
|-----------------------------------------------------------------|
853. | 853 25may2020 937 Monday 2020w21 2020m5 2020 |
854. | 854 26may2020 730 Tuesday 2020w21 2020m5 2020 |
855. | 855 27may2020 698 Wednesday 2020w22 2020m5 2020 |
856. | 856 28may2020 690 Thursday 2020w22 2020m5 2020 |
857. | 857 29may2020 686 Friday 2020w22 2020m5 2020 |
|-----------------------------------------------------------------|
858. | 858 30may2020 565 Saturday 2020w22 2020m5 2020 |
859. | 859 31may2020 530 Sunday 2020w22 2020m5 2020 |
860. | 860 01jun2020 834 Monday 2020w22 2020m6 2020 |
861. | 861 02jun2020 659 Tuesday 2020w22 2020m6 2020 |
862. | 862 03jun2020 488 Wednesday 2020w23 2020m6 2020 |
|-----------------------------------------------------------------|
863. | 863 04jun2020 759 Thursday 2020w23 2020m6 2020 |
864. | 864 05jun2020 640 Friday 2020w23 2020m6 2020 |
865. | 865 06jun2020 589 Saturday 2020w23 2020m6 2020 |
866. | 866 07jun2020 741 Sunday 2020w23 2020m6 2020 |
867. | 867 08jun2020 638 Monday 2020w23 2020m6 2020 |
|-----------------------------------------------------------------|
868. | 868 09jun2020 821 Tuesday 2020w23 2020m6 2020 |
869. | 869 10jun2020 666 Wednesday 2020w24 2020m6 2020 |
870. | 870 11jun2020 623 Thursday 2020w24 2020m6 2020 |
871. | 871 12jun2020 688 Friday 2020w24 2020m6 2020 |
872. | 872 13jun2020 395 Saturday 2020w24 2020m6 2020 |
|-----------------------------------------------------------------|
873. | 873 14jun2020 602 Sunday 2020w24 2020m6 2020 |
874. | 874 15jun2020 682 Monday 2020w24 2020m6 2020 |
875. | 875 16jun2020 534 Tuesday 2020w24 2020m6 2020 |
876. | 876 17jun2020 570 Wednesday 2020w25 2020m6 2020 |
877. | 877 18jun2020 587 Thursday 2020w25 2020m6 2020 |
|-----------------------------------------------------------------|
878. | 878 19jun2020 675 Friday 2020w25 2020m6 2020 |
879. | 879 20jun2020 658 Saturday 2020w25 2020m6 2020 |
880. | 880 21jun2020 439 Sunday 2020w25 2020m6 2020 |
881. | 881 22jun2020 602 Monday 2020w25 2020m6 2020 |
882. | 882 23jun2020 835 Tuesday 2020w25 2020m6 2020 |
|-----------------------------------------------------------------|
883. | 883 24jun2020 700 Wednesday 2020w26 2020m6 2020 |
884. | 884 25jun2020 579 Thursday 2020w26 2020m6 2020 |
885. | 885 26jun2020 679 Friday 2020w26 2020m6 2020 |
886. | 886 27jun2020 481 Saturday 2020w26 2020m6 2020 |
887. | 887 28jun2020 657 Sunday 2020w26 2020m6 2020 |
|-----------------------------------------------------------------|
888. | 888 29jun2020 746 Monday 2020w26 2020m6 2020 |
889. | 889 30jun2020 632 Tuesday 2020w26 2020m6 2020 |
890. | 890 01jul2020 734 Wednesday 2020w27 2020m7 2020 |
891. | 891 02jul2020 531 Thursday 2020w27 2020m7 2020 |
892. | 892 03jul2020 792 Friday 2020w27 2020m7 2020 |
|-----------------------------------------------------------------|
893. | 893 04jul2020 755 Saturday 2020w27 2020m7 2020 |
894. | 894 05jul2020 556 Sunday 2020w27 2020m7 2020 |
895. | 895 06jul2020 581 Monday 2020w27 2020m7 2020 |
896. | 896 07jul2020 681 Tuesday 2020w27 2020m7 2020 |
897. | 897 08jul2020 880 Wednesday 2020w28 2020m7 2020 |
|-----------------------------------------------------------------|
898. | 898 09jul2020 591 Thursday 2020w28 2020m7 2020 |
899. | 899 10jul2020 31 Friday 2020w28 2020m7 2020 |
+-----------------------------------------------------------------+
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Disable ads:
Please don't do this unless you really need to. The forum's ads are not very annoying! Obviously this is only going to disable the single banner ad under the first post on each page (which I agree is not very annoying). It does not affect signature advertising. I see a few people complain about annoyance from signatures and wanted to turn off all signatures on the forum for a period such as 1 month or 2 months. The one I remember is phillipma1957 . He replied like that several times. Fortunately, I believe that not many users want to disable signatures on the forum (by themselves) or by the admin. Signatures (themselves) are cool. They bring something to the forum and members: - Static (not animated) signatures build up a more friendly interface for the forum. The forum will be so boring it it is fully texts. - They contains information (on new trend, new technology, new companies). I don't say you can believe in all companies that promote their companies with signatures on the forum. Many of them are scam projects. Trend, yes, you can get trend from signatures. Latest months, since the pandemic, the industry of gaming and gambling has been growing very well. Many new companies are born and old companies decided to run their campaigns or expand their campaigns on the forum (with more positions, more ranks, and more types - not only restrict with signature campaign). - Good companies in crypto should start on the forum - the biggest forum in crypto. They need a place (here), they need promotions (here with signature as one of very basic choice for them). |
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@Hhampuz, would like to have a clarification with the requirements. Does the campaign run for 10 days from July 13th to July 22nd or runs for 7 days from July 13th to July 19th?  It is a typo, obviously. Hhampuz forgot to edit his frequent start and end of weekly campaigns (7 days) to this one (10 days). It is misleading but there are two confirmations for the end day of the Miami campaign. It will last for 10 days, and the payment will be sent out on 24 July. Typo should be corrected ASAP, obviously. |
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Great news for Manchester City but bad news for the teams that are on the race to last positions for Champions League in 2020 - 2021. Only 2 positions left for three teams: Manchester United, Leicester City, and Chelsea. I am shocked with the news and decision from UEFA. Such decision makes them look stupid and corrupt football organization. How strong the financial backbone of Manchester City is? We all know that and we don't know what happened past months and how the situation of Manchester City has slowly turned from bad to good. Suspicious decision from UEFA. |
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ABSTRACT- Observed rounds: 287.
- Converted datasets: get there and there.
- Period of each round: about 10.2 days (in medians - p50). See details
- From these time-series plots and statistics presented below, I have a feeling that recent wash-out in March of 2020 has decreasing effects on figures of all 4 indicators. If we compare all indicators between two years (2019 and 2020 - an imcomplete year with only 16 rounds observed as of writing).
It has been shown in these time-series plots in OP, but if you did not recognize it, you can see it in details below with the statistics of each indicator over years (2012 - 2020). The year of 2020 is an imcomplete one, with only 16 rounds have been finished so far, the last finish round is #310. As always, I used the medians (p50), not means. Now, let's look at their all time highs, in medians (p50). An overview, for whole period (from 2012 to 2020) for all 4 indicators. variable | N mean sd p50 p25 p75 min max
-------------+--------------------------------------------------------------------------------
mimpressions | 33.0 307677.2 48708.6 307255.1 280417.4 337873.1 218751.8 423117.3
mliuser_im~s | 33.0 89981.7 29639.5 100595.3 84122.1 109534.8 17904.0 124806.3
muniqueip | 33.0 13356.0 3179.7 13209.6 10743.2 16248.2 8366.1 19462.9
muniqueliu~s | 33.0 1919.8 466.9 1931.0 1511.1 2246.2 1212.2 2905.1
----------------------------------------------------------------------------------------------
Its all time high is 374975, in 2018, not in 2017. Summary for variables: mimpressions
by categories of: year (Year)
year | N mean sd p50 p25 p75 min max
---------+--------------------------------------------------------------------------------
2012 | 38.0 15088.0 3447.1 15761.3 12433.6 16667.5 6058.1 20716.6
2013 | 40.0 54194.9 24673.3 50380.4 43379.0 63659.3 18206.9 120381.3
2014 | 34.0 135750.9 15362.2 131780.0 124662.3 147388.1 110430.0 162669.1
2015 | 23.0 112016.0 21012.5 111835.7 106363.5 123331.1 40761.9 145381.0
2016 | 34.0 113646.3 9029.7 113654.8 105539.0 121026.2 96311.5 128049.6
2017 | 36.0 226489.9 84789.8 210308.7 153213.9 265930.3 86717.0 440217.4
2018 | 32.0 380478.4 39909.4 374974.9 362659.3 397805.2 271974.4 526107.3
2019 | 33.0 307677.2 48708.6 307255.1 280417.4 337873.1 218751.8 423117.3
2020 | 16.0 240336.9 37984.3 227375.3 211654.5 262189.1 195923.4 309910.8
---------+--------------------------------------------------------------------------------
Total | 286.0 168268.2 123583.9 127137.0 67077.8 262434.5 6058.1 526107.3
------------------------------------------------------------------------------------------
Its all time high is 100595, in 2019, not in 2017. Summary for variables: mliuser_impressions
by categories of: year (Year)
year | N mean sd p50 p25 p75 min max
---------+--------------------------------------------------------------------------------
2012 | 38.0 4369.7 1183.9 4099.0 3544.8 4951.3 1795.2 7213.2
2013 | 40.0 17249.1 7505.0 18621.3 12892.6 21162.1 3928.5 37228.7
2014 | 34.0 38847.1 13445.2 38291.0 29864.4 46259.9 17464.6 69853.3
2015 | 23.0 15629.7 3771.0 14012.4 13219.1 18919.3 9094.0 24755.5
2016 | 34.0 16152.4 2577.8 15605.4 15011.6 16773.8 13338.2 28292.6
2017 | 36.0 38080.1 18477.7 31572.8 23540.2 53577.1 10015.6 78991.9
2018 | 32.0 92415.7 27127.3 83531.6 73272.6 114457.5 56496.2 143663.0
2019 | 33.0 89981.7 29639.5 100595.3 84122.1 109534.8 17904.0 124806.3
2020 | 16.0 30054.9 11438.8 27498.2 22789.8 32244.9 17183.0 58125.3
---------+--------------------------------------------------------------------------------
Total | 286.0 37985.8 34867.3 22945.1 14747.3 57107.8 1795.2 143663.0
------------------------------------------------------------------------------------------
Its all time high is 39292, in 2018, not in 2017. Summary for variables: muniqueip
by categories of: year (Year)
year | N mean sd p50 p25 p75 min max
---------+--------------------------------------------------------------------------------
2012 | 38.0 2895.0 668.8 2921.7 2231.9 3390.6 1731.5 4014.4
2013 | 40.0 11746.7 6947.0 9349.3 8079.4 13812.9 3839.3 34218.2
2014 | 34.0 17406.6 5582.9 15729.6 14084.6 20373.0 9942.4 28277.0
2015 | 23.0 8695.0 1598.2 8468.7 7504.4 9820.8 5615.3 11797.0
2016 | 34.0 11067.6 1061.3 10622.5 10350.6 11768.5 9796.0 13983.0
2017 | 36.0 41688.3 25824.5 39291.1 18168.2 49361.3 11145.9 116833.1
2018 | 32.0 35677.8 20870.3 28047.5 20194.1 46479.3 15238.3 100088.1
2019 | 33.0 13356.0 3179.7 13209.6 10743.2 16248.2 8366.1 19462.9
2020 | 16.0 8349.8 840.0 8184.4 7716.7 9194.6 6781.0 9594.0
---------+--------------------------------------------------------------------------------
Total | 286.0 17359.4 17407.0 11510.0 8474.1 18401.7 1731.5 116833.1
------------------------------------------------------------------------------------------
Its all time high is 7054, in 2018. Summary for variables: muniqueliusers
by categories of: year (Year)
year | N mean sd p50 p25 p75 min max
---------+--------------------------------------------------------------------------------
2012 | 38.0 382.1 64.4 379.1 328.2 436.2 281.3 573.3
2013 | 40.0 1311.5 543.4 1400.0 867.1 1628.9 394.4 2509.7
2014 | 34.0 2321.5 705.2 2206.3 1872.4 2802.6 1286.6 3811.6
2015 | 23.0 1040.7 345.2 929.3 819.2 1177.9 716.1 2198.8
2016 | 34.0 1407.0 208.0 1423.3 1328.7 1516.8 846.2 1822.0
2017 | 36.0 4005.5 2302.2 3385.8 2036.8 5222.9 1401.8 9920.5
2018 | 32.0 6708.2 2293.6 7054.3 4529.0 8434.4 2675.0 11121.2
2019 | 33.0 1919.8 466.9 1931.0 1511.1 2246.2 1212.2 2905.1
2020 | 16.0 1104.9 90.9 1080.4 1039.5 1187.7 983.8 1271.3
---------+--------------------------------------------------------------------------------
Total | 286.0 2299.2 2204.0 1541.7 1051.9 2416.8 281.3 11121.2
------------------------------------------------------------------------------------------
Comparisons between three periods, with the period 2012-2013 used as a reference group. | ______________________________________ | ____________________________ | _____________ | _____________ | _____________ | | Indicators | Reference group (2012 - 2013) | 2014 - 2016 * | 2017 - 2019 * | 2020 * | | ______________________________________ | ____________________________ | _____________ | _____________ | _____________ | | Daily total impressions | 20509 | 120237 (5.9) | 314465 (14.3) | 227376 (10.09) | | Daily total impressions from logged-in users | 5754 | 17465 (3) | 74245 (11.9) | 27499 (3.78) | | Daily unique IPs from logged-out users | 4069 | 11229 (2.8 ) | 20175 (4) | 8185 (1.01) | | Daily unique logged-in users | 457 | 1471 (2.6) | 3225 (6.1) | 1081 (1.37) | | ______________________________________ | ____________________________ | _____________ | _____________ | _____________ |
Values (Increasing-fold). Raw results over periods: Summary for variables: mimpressions
by categories of: period_grp
period_grp | N mean sd p50 p25 p75 min max
------------+--------------------------------------------------------------------------------
2012 - 2013 | 78.0 35142.8 26478.3 20509.0 15828.5 50788.7 6058.1 120381.3
2014 - 2016 | 91.0 121493.1 18637.8 120237.0 110620.4 130868.0 40761.9 162669.1
2017 - 2019 | 101.0 301804.9 88336.3 314465.1 240297.4 369258.3 86717.0 526107.3
2020 | 16.0 240336.9 37984.3 227375.3 211654.5 262189.1 195923.4 309910.8
------------+--------------------------------------------------------------------------------
Total | 286.0 168268.2 123583.9 127137.0 67077.8 262434.5 6058.1 526107.3
---------------------------------------------------------------------------------------------
Summary for variables: mliuser_impressions
by categories of: period_grp
period_grp | N mean sd p50 p25 p75 min max
------------+--------------------------------------------------------------------------------
2012 - 2013 | 78.0 10974.5 8437.0 5754.0 3981.5 18638.2 1795.2 37228.7
2014 - 2016 | 91.0 24499.6 14013.9 17464.6 14943.6 32439.4 9094.0 69853.3
2017 - 2019 | 101.0 72253.3 35818.4 74245.0 37901.2 103140.9 10015.6 143663.0
2020 | 16.0 30054.9 11438.8 27498.2 22789.8 32244.9 17183.0 58125.3
------------+--------------------------------------------------------------------------------
Total | 286.0 37985.8 34867.3 22945.1 14747.3 57107.8 1795.2 143663.0
---------------------------------------------------------------------------------------------
Summary for variables: muniqueip
by categories of: period_grp
period_grp | N mean sd p50 p25 p75 min max
------------+--------------------------------------------------------------------------------
2012 - 2013 | 78.0 7434.3 6670.0 4068.8 2936.7 9382.3 1731.5 34218.2
2014 - 2016 | 91.0 12836.3 5091.3 11228.5 9972.1 14889.6 5615.3 28277.0
2017 - 2019 | 101.0 30526.9 22854.2 20174.5 15402.4 42793.0 8366.1 116833.1
2020 | 16.0 8349.8 840.0 8184.4 7716.7 9194.6 6781.0 9594.0
------------+--------------------------------------------------------------------------------
Total | 286.0 17359.4 17407.0 11510.0 8474.1 18401.7 1731.5 116833.1
---------------------------------------------------------------------------------------------
Summary for variables: muniqueliusers
by categories of: period_grp
period_grp | N mean sd p50 p25 p75 min max
------------+--------------------------------------------------------------------------------
2012 - 2013 | 78.0 858.7 608.4 456.4 390.8 1407.4 281.3 2509.7
2014 - 2016 | 91.0 1656.1 717.5 1470.4 1203.0 1962.7 716.1 3811.6
2017 - 2019 | 101.0 4180.3 2701.4 3224.8 1974.7 5964.9 1212.2 11121.2
2020 | 16.0 1104.9 90.9 1080.4 1039.5 1187.7 983.8 1271.3
------------+--------------------------------------------------------------------------------
Total | 286.0 2299.2 2204.0 1541.7 1051.9 2416.8 281.3 11121.2
---------------------------------------------------------------------------------------------
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Dataset for start-, end-date, and period of each rounds The variable period is calculated by the formula: - (end - start) / 86400.
- 86400 is total seconds per day.
+----------------------------------------+
| round start end period |
|----------------------------------------|
1. | 310 14jun2020 25jun2020 11 |
2. | 309 03jun2020 14jun2020 11.1 |
3. | 308 23may2020 03jun2020 10.8 |
4. | 307 12may2020 23may2020 10.8 |
5. | 306 01may2020 12may2020 10.8 |
|----------------------------------------|
6. | 305 20apr2020 01may2020 11.1 |
7. | 304 09apr2020 20apr2020 11.2 |
8. | 303 29mar2020 09apr2020 10.9 |
9. | 302 18mar2020 29mar2020 11 |
10. | 301 08mar2020 18mar2020 10.8 |
|----------------------------------------|
11. | 300 26feb2020 08mar2020 11 |
12. | 299 15feb2020 26feb2020 11 |
13. | 298 03feb2020 15feb2020 11.3 |
14. | 297 23jan2020 03feb2020 11 |
15. | 296 12jan2020 23jan2020 11 |
|----------------------------------------|
16. | 295 01jan2020 12jan2020 10.9 |
17. | 294 22dec2019 01jan2020 10.8 |
18. | 293 10dec2019 22dec2019 11.1 |
19. | 292 29nov2019 10dec2019 11.1 |
20. | 291.6 18nov2019 29nov2019 11.2 |
|----------------------------------------|
21. | 291.3 07nov2019 18nov2019 10.9 |
22. | 291 27oct2019 07nov2019 11 |
23. | 290 16oct2019 27oct2019 10.7 |
24. | 289 05oct2019 16oct2019 11.1 |
25. | 288 24sep2019 05oct2019 10.9 |
|----------------------------------------|
26. | 287 13sep2019 24sep2019 11.1 |
27. | 286 02sep2019 13sep2019 11.1 |
28. | 285 22aug2019 02sep2019 11.2 |
29. | 284 11aug2019 22aug2019 10.9 |
30. | 283 31jul2019 11aug2019 11.1 |
|----------------------------------------|
31. | 282 19jul2019 31jul2019 11.9 |
32. | 281 09jul2019 19jul2019 10.5 |
33. | 280 26jun2019 09jul2019 12.3 |
34. | 279 15jun2019 26jun2019 11.7 |
35. | 278 03jun2019 15jun2019 11.5 |
|----------------------------------------|
36. | 277 22may2019 03jun2019 12 |
37. | 276 12may2019 22may2019 10.6 |
38. | 275 01may2019 12may2019 10.2 |
39. | 274 21apr2019 01may2019 10.7 |
40. | 273 10apr2019 21apr2019 10.2 |
|----------------------------------------|
41. | 272 30mar2019 10apr2019 11.1 |
42. | 271 20mar2019 30mar2019 10.2 |
43. | 270 10mar2019 20mar2019 10.5 |
44. | 269 27feb2019 10mar2019 10.3 |
45. | 268 15feb2019 27feb2019 11.9 |
|----------------------------------------|
46. | 267 04feb2019 15feb2019 11.1 |
47. | 266 24jan2019 04feb2019 11 |
48. | 265 14jan2019 24jan2019 10 |
49. | 264 04jan2019 14jan2019 10.8 |
50. | 263 22dec2018 04jan2019 12.2 |
|----------------------------------------|
51. | 262 11dec2018 22dec2018 10.6 |
52. | 261 01dec2018 11dec2018 10.3 |
53. | 260 21nov2018 01dec2018 9.9 |
54. | 259 10nov2018 21nov2018 11.2 |
55. | 258 31oct2018 10nov2018 10.1 |
|----------------------------------------|
56. | 257 21oct2018 31oct2018 10 |
57. | 256 09oct2018 21oct2018 12.4 |
58. | 255 26sep2018 09oct2018 12.1 |
59. | 254 14sep2018 26sep2018 12.3 |
60. | 253 03sep2018 14sep2018 11 |
|----------------------------------------|
61. | 252 22aug2018 03sep2018 12 |
62. | 251 11aug2018 22aug2018 11.7 |
63. | 250 29jul2018 11aug2018 13 |
64. | 249 18jul2018 29jul2018 10.3 |
65. | 248 08jul2018 18jul2018 10.7 |
|----------------------------------------|
66. | 247 27jun2018 08jul2018 11.1 |
67. | 246 19jun2018 27jun2018 7.2 |
68. | 245 06jun2018 16jun2018 10 |
69. | 244 26may2018 06jun2018 10.8 |
70. | 243 16may2018 26may2018 10.7 |
|----------------------------------------|
71. | 242 06may2018 16may2018 10.2 |
72. | 241 25apr2018 06may2018 10.3 |
73. | 240 11apr2018 25apr2018 14 |
74. | 239 31mar2018 11apr2018 11 |
75. | 238 21mar2018 31mar2018 10 |
|----------------------------------------|
76. | 237 09mar2018 21mar2018 11.9 |
77. | 236 27feb2018 09mar2018 10.7 |
78. | 235 14feb2018 27feb2018 12.4 |
79. | 234 02feb2018 14feb2018 12 |
80. | 233 23jan2018 02feb2018 10.6 |
|----------------------------------------|
81. | 232 11jan2018 23jan2018 11.4 |
82. | 231 31dec2017 11jan2018 11 |
83. | 230 20dec2017 31dec2017 11 |
84. | 229 09dec2017 20dec2017 11 |
85. | 228 30nov2017 09dec2017 9.5 |
|----------------------------------------|
86. | 227 17nov2017 30nov2017 12.7 |
87. | 226 09nov2017 17nov2017 8.6 |
88. | 225 26oct2017 09nov2017 13.2 |
89. | 224 17oct2017 26oct2017 9.1 |
90. | 223 06oct2017 17oct2017 10.8 |
|----------------------------------------|
91. | 222 27sep2017 06oct2017 9.9 |
92. | 221 18sep2017 27sep2017 8.2 |
93. | 220 07sep2017 18sep2017 11 |
94. | 219 29aug2017 07sep2017 9.2 |
95. | 218 19aug2017 29aug2017 9.9 |
|----------------------------------------|
96. | 217 09aug2017 19aug2017 9.9 |
97. | 216 28jul2017 09aug2017 12.7 |
98. | 215 18jul2017 28jul2017 9.4 |
99. | 214 09jul2017 18jul2017 9.1 |
100. | 213 30jun2017 09jul2017 8.9 |
|----------------------------------------|
101. | 212 20jun2017 30jun2017 10 |
102. | 211 10jun2017 20jun2017 9.9 |
103. | 210 01jun2017 10jun2017 9 |
104. | 209 23may2017 01jun2017 9.2 |
105. | 208 13may2017 23may2017 10.5 |
|----------------------------------------|
106. | 207 02may2017 13may2017 10.4 |
107. | 206 23apr2017 02may2017 9.6 |
108. | 205 13apr2017 23apr2017 9.4 |
109. | 204 03apr2017 13apr2017 10 |
110. | 203 22mar2017 03apr2017 11.8 |
|----------------------------------------|
111. | 202 11mar2017 22mar2017 11 |
112. | 201 02mar2017 11mar2017 9.1 |
113. | 200 19feb2017 02mar2017 10.9 |
114. | 199 09feb2017 19feb2017 10.9 |
115. | 198 30jan2017 09feb2017 10 |
|----------------------------------------|
116. | 197 19jan2017 30jan2017 10.2 |
117. | 196 09jan2017 19jan2017 10.1 |
118. | 195 30dec2016 09jan2017 9.9 |
119. | 194 19dec2016 30dec2016 11 |
120. | 193 12dec2016 19dec2016 7.3 |
|----------------------------------------|
121. | 192 02dec2016 12dec2016 9.7 |
122. | 191 22nov2016 02dec2016 10.1 |
123. | 190 10nov2016 22nov2016 12.6 |
124. | 189 26oct2016 10nov2016 14.2 |
125. | 188 18oct2016 26oct2016 8.8 |
|----------------------------------------|
126. | 187 08oct2016 18oct2016 9.4 |
127. | 186 28sep2016 08oct2016 9.9 |
128. | 185 19sep2016 28sep2016 9.1 |
129. | 184 08sep2016 19sep2016 11.1 |
130. | 183 29aug2016 08sep2016 10.5 |
|----------------------------------------|
131. | 182 19aug2016 29aug2016 9.5 |
132. | 181 11aug2016 19aug2016 8.1 |
133. | 180 03aug2016 11aug2016 8.4 |
134. | 179 24jul2016 03aug2016 9.9 |
135. | 178 15jul2016 24jul2016 8.4 |
|----------------------------------------|
136. | 177 05jul2016 15jul2016 9.8 |
137. | 176 27jun2016 05jul2016 8.2 |
138. | 175 15jun2016 27jun2016 12.5 |
139. | 174 06jun2016 15jun2016 8.8 |
140. | 173 25may2016 06jun2016 11.7 |
|----------------------------------------|
141. | 172 16may2016 25may2016 9.5 |
142. | 171 07may2016 16may2016 9 |
143. | 170 28apr2016 07may2016 8.9 |
144. | 169 19apr2016 28apr2016 9.1 |
145. | 168 08apr2016 19apr2016 10.3 |
|----------------------------------------|
146. | 167 28mar2016 08apr2016 11.1 |
147. | 166 18mar2016 28mar2016 10 |
148. | 165 04mar2016 18mar2016 14 |
149. | 164 18feb2016 04mar2016 15.6 |
150. | 163 29jan2016 18feb2016 19.1 |
|----------------------------------------|
151. | 162 07jan2016 29jan2016 22.2 |
152. | 161 15dec2015 07jan2016 23.5 |
153. | 160 20nov2015 15dec2015 24.4 |
154. | 159 05nov2015 20nov2015 15.6 |
155. | 158 13oct2015 05nov2015 22.3 |
|----------------------------------------|
156. | 157 23sep2015 13oct2015 20.8 |
157. | 156 06sep2015 23sep2015 17 |
158. | 155 22aug2015 06sep2015 14.4 |
159. | 154 06aug2015 22aug2015 16.6 |
160. | 153 20jul2015 06aug2015 16.4 |
|----------------------------------------|
161. | 152 06jul2015 20jul2015 14.1 |
162. | 151 18jun2015 06jul2015 18.5 |
163. | 150 29may2015 18jun2015 20.1 |
164. | 149.5 25may2015 29may2015 3.5 |
165. | 149 12may2015 25may2015 13 |
|----------------------------------------|
166. | 148 22apr2015 12may2015 19.8 |
167. | 147 07apr2015 22apr2015 15.7 |
168. | 146 25mar2015 07apr2015 12.9 |
169. | 145 10mar2015 25mar2015 15.1 |
170. | 144 28feb2015 10mar2015 10 |
|----------------------------------------|
171. | 143 17feb2015 28feb2015 11 |
172. | 142 30jan2015 17feb2015 17.9 |
173. | 141 15jan2015 30jan2015 15.1 |
174. | 140 02jan2015 15jan2015 13 |
175. | 139 22dec2014 02jan2015 11.2 |
|----------------------------------------|
176. | 138 09dec2014 22dec2014 12.8 |
177. | 137 26nov2014 09dec2014 13 |
178. | 136 12nov2014 26nov2014 13.2 |
179. | 135 30oct2014 12nov2014 13 |
180. | 134 21oct2014 30oct2014 9.8 |
|----------------------------------------|
181. | 133 11oct2014 21oct2014 10 |
182. | 132 29sep2014 11oct2014 12 |
183. | 131 16sep2014 29sep2014 13.1 |
184. | 130 04sep2014 16sep2014 11.8 |
185. | 129 23aug2014 04sep2014 11.9 |
|----------------------------------------|
186. | 128 12aug2014 23aug2014 11.2 |
187. | 127 31jul2014 12aug2014 11.9 |
188. | 126 20jul2014 31jul2014 11 |
189. | 125 10jul2014 20jul2014 10 |
190. | 124 30jun2014 10jul2014 10 |
|----------------------------------------|
191. | 123 19jun2014 30jun2014 11 |
192. | 122 10jun2014 19jun2014 9 |
193. | 121 30may2014 10jun2014 11.1 |
194. | 120 19may2014 30may2014 10.1 |
195. | 119 10may2014 19may2014 9.8 |
|----------------------------------------|
196. | 118 28apr2014 10may2014 11.9 |
197. | 117 17apr2014 28apr2014 11 |
198. | 116 05apr2014 17apr2014 12 |
199. | 115 25mar2014 05apr2014 10.9 |
200. | 114 15mar2014 25mar2014 10.2 |
|----------------------------------------|
201. | 113 05mar2014 15mar2014 10 |
202. | 112 25feb2014 05mar2014 8 |
203. | 111 16feb2014 25feb2014 8.4 |
204. | 110 08feb2014 16feb2014 8.5 |
205. | 109 29jan2014 08feb2014 9.8 |
|----------------------------------------|
206. | 108 20jan2014 29jan2014 9.3 |
207. | 107 10jan2014 20jan2014 9.8 |
208. | 106 01jan2014 10jan2014 9 |
209. | 105 21dec2013 01jan2014 10.5 |
210. | 104 11dec2013 21dec2013 10.5 |
|----------------------------------------|
211. | 103 02dec2013 11dec2013 9.1 |
212. | 102 21nov2013 02dec2013 11.1 |
213. | 101 11nov2013 21nov2013 10 |
214. | 100 01nov2013 11nov2013 10 |
215. | 99 22oct2013 01nov2013 9.9 |
|----------------------------------------|
216. | 98 12oct2013 22oct2013 9.5 |
217. | 97 26sep2013 12oct2013 15.7 |
218. | 96 18sep2013 26sep2013 8.9 |
219. | 95 09sep2013 18sep2013 8.1 |
220. | 94 01sep2013 09sep2013 8.7 |
|----------------------------------------|
221. | 93 24aug2013 01sep2013 8.1 |
222. | 92 16aug2013 24aug2013 7.8 |
223. | 91 07aug2013 16aug2013 9.1 |
224. | 90 30jul2013 07aug2013 8.1 |
225. | 89 20jul2013 30jul2013 9.3 |
|----------------------------------------|
226. | 88 12jul2013 20jul2013 8.5 |
227. | 87 03jul2013 12jul2013 8.3 |
228. | 86 26jun2013 03jul2013 7.8 |
229. | 85 19jun2013 26jun2013 7.1 |
230. | 84 11jun2013 19jun2013 8.1 |
|----------------------------------------|
231. | 83 02jun2013 11jun2013 9 |
232. | 82 25may2013 02jun2013 7.9 |
233. | 81 17may2013 25may2013 8 |
234. | 80 07may2013 17may2013 9.5 |
235. | 79 28apr2013 07may2013 9 |
|----------------------------------------|
236. | 78 21apr2013 28apr2013 7.5 |
237. | 77 12apr2013 21apr2013 8.8 |
238. | 76 05apr2013 12apr2013 7.2 |
239. | 75 28mar2013 05apr2013 7.8 |
240. | 74 21mar2013 28mar2013 7 |
|----------------------------------------|
241. | 73 13mar2013 21mar2013 7.6 |
242. | 72 05mar2013 13mar2013 7.8 |
243. | 71 25feb2013 05mar2013 8.1 |
244. | 70 17feb2013 25feb2013 8.7 |
245. | 69 07feb2013 17feb2013 9.2 |
|----------------------------------------|
246. | 68 29jan2013 07feb2013 9.1 |
247. | 67 21jan2013 29jan2013 7.9 |
248. | 66 14jan2013 21jan2013 7.1 |
249. | 65 07jan2013 14jan2013 7.5 |
250. | 64 31dec2012 07jan2013 7.2 |
|----------------------------------------|
251. | 63 23dec2012 31dec2012 7.8 |
252. | 62 16dec2012 23dec2012 7.3 |
253. | 61 08dec2012 16dec2012 7.6 |
254. | 60 01dec2012 08dec2012 7.2 |
255. | 59 23nov2012 01dec2012 7.3 |
|----------------------------------------|
256. | 58 16nov2012 23nov2012 7.2 |
257. | 57 09nov2012 16nov2012 7.1 |
258. | 56 02nov2012 09nov2012 7.5 |
259. | 55 26oct2012 02nov2012 7.1 |
260. | 54 18oct2012 26oct2012 7.6 |
|----------------------------------------|
261. | 53 13oct2012 18oct2012 4.8 |
262. | 52 06oct2012 13oct2012 7.5 |
263. | 51 27sep2012 06oct2012 8.5 |
264. | 50 20sep2012 27sep2012 7.6 |
265. | 49 12sep2012 20sep2012 7.4 |
|----------------------------------------|
266. | 48 05sep2012 12sep2012 7 |
267. | 47 29aug2012 05sep2012 7.4 |
268. | 46 22aug2012 29aug2012 7.1 |
269. | 45 14aug2012 22aug2012 7.2 |
270. | 44 07aug2012 14aug2012 7.9 |
|----------------------------------------|
271. | 43 31jul2012 07aug2012 7 |
272. | 42 24jul2012 31jul2012 7 |
273. | 41 16jul2012 24jul2012 7.2 |
274. | 40 09jul2012 16jul2012 7.6 |
275. | 39 01jul2012 09jul2012 8.2 |
|----------------------------------------|
276. | 38 23jun2012 01jul2012 7.1 |
277. | 37 15jun2012 23jun2012 8.9 |
278. | 36 07jun2012 15jun2012 7.1 |
279. | 35 31may2012 07jun2012 7 |
280. | 34 24may2012 31may2012 7 |
|----------------------------------------|
281. | 33 17may2012 24may2012 7 |
282. | 32 10may2012 17may2012 7 |
283. | 31 03may2012 10may2012 7.1 |
284. | 30 26apr2012 03may2012 7 |
285. | 29 19apr2012 26apr2012 7.7 |
|----------------------------------------|
286. | 28 11apr2012 19apr2012 7.3 |
287. | 27 04apr2012 11apr2012 7.1 |
+----------------------------------------+
How long each round usually lasts? 10.2 days in median (p50). Min and max are 3.5 and 24.4 days, respectively.
variable | N mean sd p50 p25 p75 min max
-------------+--------------------------------------------------------------------------------
period | 287.0 10.5 2.9 10.2 8.7 11.1 3.5 24.4
----------------------------------------------------------------------------------------------
|
|
|
|
Converted dataset:- Rounds: 27 - 310
- * Stats are means of all slots in each rounds.
+-------------------------------------------------------------------------+
| round mimpressions mliuser_impressions muniqueip muniqueliusers |
|-------------------------------------------------------------------------|
1. | 310 308796.3 58125.28 6781.04 983.79 |
2. | 309 225717.2 19445.78 7591.09 1002.04 |
3. | 308 261943.6 30290.44 7590.96 1064.6 |
4. | 307 309910.8 23898.55 9355.56 1079.15 |
5. | 306 237258.7 23016.51 9275.43 1121.65 |
|-------------------------------------------------------------------------|
6. | 305 292501.5 48145.99 8249.66 1081.66 |
7. | 304 262434.5 34199.44 8119.05 1066.01 |
8. | 303 261516.8 46547.33 7357.83 1014.31 |
9. | 302 215599.3 28979.17 8064.43 984.03 |
10. | 301 203026.7 24988.82 7842.22 1070.74 |
|-------------------------------------------------------------------------|
11. | 300 195923.4 17183 7950.04 1118.5 |
12. | 299 203249.8 20445.78 8369.57 1194.39 |
13. | 298 209625.4 22563.06 9367.34 1204.85 |
14. | 297 213683.6 27793.76 8974.82 1180.94 |
15. | 296 215169 27202.68 9113.68 1271.35 |
|-------------------------------------------------------------------------|
16. | 295 229033.4 28053.44 9594.02 1241.04 |
17. | 294 237433.3 33095.78 8366.11 1212.24 |
18. | 293 218751.8 31976.96 8474.109 1235.89 |
19. | 292 225950.9 25770.32 9553.12 1327.45 |
20. | 291.6 280417.4 58683.05 9979.15 1368.19 |
|-------------------------------------------------------------------------|
21. | 291.3 255976.3 64461.38 9557.34 1337.13 |
22. | 291 292228.8 92419.04 11177.19 1443.64 |
23. | 290 275764.8 84456.51 10600.02 1455.32 |
24. | 289 229093.8 17903.98 9715.57 1433.98 |
25. | 288 307255.1 112470.2 10875.12 1531.82 |
|-------------------------------------------------------------------------|
26. | 287 256432.3 76478.43 10261.56 1511.07 |
27. | 286 311072.3 116003.5 11383.78 1580.78 |
28. | 285 290406.9 107004.4 11825.32 1621.13 |
29. | 284 297896.1 109534.8 10743.18 1690.39 |
30. | 283 300250.2 107787.2 11451.39 1752.57 |
|-------------------------------------------------------------------------|
31. | 282 313884.7 122089.8 11121.37 1766.48 |
32. | 281 337179.8 103565.1 13320.96 2032.47 |
33. | 280 305277.3 102429.3 13209.62 1921.22 |
34. | 279 340701.6 124806.3 13964.51 2048.44 |
35. | 278 325328.6 111911 12801.78 1930.99 |
|-------------------------------------------------------------------------|
36. | 277 423117.3 114442 13825.97 2111.12 |
37. | 276 409292.1 112939 17446.72 2354.02 |
38. | 275 343342.7 106282 15780.76 2179.83 |
39. | 274 336661.1 106726 18052.01 2137.72 |
40. | 273 337873.1 100488.5 16592.09 2176.95 |
|-------------------------------------------------------------------------|
41. | 272 359970.9 103140.9 17268.29 2239.04 |
42. | 271 336184.8 100595.3 15849.19 2246.18 |
43. | 270 307412.2 93506.88 15779.48 2247.73 |
44. | 269 295101.9 90434.84 15402.42 2304.16 |
45. | 268 341440.1 90938.14 16435.15 2315.68 |
|-------------------------------------------------------------------------|
46. | 267 248086 44463.62 16248.2 2466.69 |
47. | 266 301084.5 84122.09 19462.91 2566 |
48. | 265 368792.6 99783.42 17614.41 2902.07 |
49. | 264 343686.1 118686.5 16610.11 2905.1 |
50. | 263 364137.6 106266.5 16958.74 2675.04 |
|-------------------------------------------------------------------------|
51. | 262 340213.3 120962.3 15238.28 3086.08 |
52. | 261 361926.6 124601.1 16983.81 3473.51 |
53. | 260 373496 128386.2 17865.4 3827.52 |
54. | 259 393714.6 142440.5 18401.69 4003.18 |
55. | 258 405572.8 140677.6 19293.15 4436.01 |
|-------------------------------------------------------------------------|
56. | 257 395102.4 143663 20174.47 4621.92 |
57. | 256 410160.6 141941.6 22609.81 4270.39 |
58. | 255 366577.6 103295.5 20407.67 4357.64 |
59. | 254 341095.7 83504.26 20181.55 4779.87 |
60. | 253 389426.3 119507.9 20460.26 5471.21 |
|-------------------------------------------------------------------------|
61. | 252 369258.3 109407.1 20206.56 5373.21 |
62. | 251 384710.1 90854.92 24060.85 5699.79 |
63. | 250 401658.4 62557.86 29479.02 5964.86 |
64. | 249 363392.1 59189.3 27214.98 6879.67 |
65. | 248 353164 56496.2 25883.25 7081.23 |
|-------------------------------------------------------------------------|
66. | 247 392151.2 57107.84 24900.56 7211.37 |
67. | 246 526107.3 85532.73 37797.65 11121.24 |
68. | 245 374077.2 64213.39 28880.03 8348.24 |
69. | 244 374949.6 69086.28 29777.1 8101.86 |
70. | 243 405402.8 78227.44 31219.92 8482.39 |
|-------------------------------------------------------------------------|
71. | 242 394545.6 72300.14 45303.34 8495.01 |
72. | 241 377917.7 69888.03 46783.2 8075.64 |
73. | 240 355274.3 74244.97 42710.33 7027.27 |
74. | 239 375000.2 83559.04 48208 8321.98 |
75. | 238 271974.4 78709.44 46175.32 8809.23 |
|-------------------------------------------------------------------------|
76. | 237 347646.9 81321.59 50331.32 8142.42 |
77. | 236 369802.9 81887.58 60038.04 9113.96 |
78. | 235 350520.7 78158.12 61031.71 8386.37 |
79. | 234 400906.1 80080.25 68905.79 8819.27 |
80. | 233 400508 85624.48 84119.49 10058.35 |
|-------------------------------------------------------------------------|
81. | 232 444917.9 83608.33 100088.1 10147.65 |
82. | 231 440217.4 78991.86 116833.1 9920.479 |
83. | 230 384012.2 64416.77 91401.26 8084.18 |
84. | 229 375048.2 65931.84 99364.53 8207.67 |
85. | 228 353303.3 67031.66 88037.62 8332.92 |
|-------------------------------------------------------------------------|
86. | 227 337132.3 64189.38 65493.77 6462.21 |
87. | 226 327698.7 66672.67 63412.23 7623.04 |
88. | 225 314465.1 65211.05 54905.86 5731.15 |
89. | 224 303197.1 57818.07 62941.86 6582.47 |
90. | 223 264177.8 57244.71 46540.47 5437.65 |
|-------------------------------------------------------------------------|
91. | 222 261592.6 49414.35 43622.66 5008.1 |
92. | 221 267682.7 49909.51 42792.97 4993.68 |
93. | 220 257036.2 42450.4 42782.84 4076.34 |
94. | 219 249940.4 43371.47 50186.57 4633.08 |
95. | 218 258580.9 40301.65 48536.11 4183.75 |
|-------------------------------------------------------------------------|
96. | 217 240297.4 37901.2 43376.75 3968.85 |
97. | 216 226129.4 37899.3 39412.24 3296.75 |
98. | 215 222843.5 34887.28 37696.27 3630.49 |
99. | 214 203014.5 31611.89 38305.14 3579.74 |
100. | 213 185648.6 29196.76 39170.05 3474.82 |
|-------------------------------------------------------------------------|
101. | 212 200669.3 31302.43 43084.6 3274.63 |
102. | 211 209633.8 31533.68 43444.91 3224.79 |
103. | 210 210983.7 29783.82 38206.55 3197.91 |
104. | 209 190589.3 26649.17 34105.28 2896.55 |
105. | 208 170968.7 24441.83 26642.05 2416.75 |
|-------------------------------------------------------------------------|
106. | 207 165989.5 24180.18 22795.35 2286.81 |
107. | 206 153313 22900.15 19551.52 2234.77 |
108. | 205 152086.5 26705.68 17841.71 2098.77 |
109. | 204 150756.3 25852.33 18175.38 1974.74 |
110. | 203 149551.7 19931.19 17024.18 1748.66 |
|-------------------------------------------------------------------------|
111. | 202 153114.8 20839.38 18161.05 1817.45 |
112. | 201 164139.5 19462.43 17532.81 1888.02 |
113. | 200 86717.01 10015.55 11145.92 1401.785 |
114. | 199 144489.3 19333.02 15099.32 1610.67 |
115. | 198 134646.9 19650.49 15422.5 1709.3 |
|-------------------------------------------------------------------------|
116. | 197 124087.6 17678.33 14303.09 1606.44 |
117. | 196 119880.8 16172.66 13428.56 1582 |
118. | 195 121562.8 16248.43 13983.03 1616.85 |
119. | 194 119518.6 15607.62 12138.82 1457.47 |
120. | 193 113481.8 15574.8 12670.26 1822.03 |
|-------------------------------------------------------------------------|
121. | 192 119123.6 15071.75 12719.88 1515.43 |
122. | 191 121026.2 16467.96 12330.31 1516.78 |
123. | 190 124919 16953.85 11768.45 1307.89 |
124. | 189 96311.53 15489.41 11308.85 1202.99 |
125. | 188 111111.4 14726.37 11758.52 1551.52 |
|-------------------------------------------------------------------------|
126. | 187 104300.2 14133.81 10767.64 1470.44 |
127. | 186 97576.23 13396.87 10027.89 1385.2 |
128. | 185 107646.2 13338.18 10414.77 1474.03 |
129. | 184 113827.7 13553.08 9934.51 1323.7 |
130. | 183 123113.7 28292.58 10480.75 1405.35 |
|-------------------------------------------------------------------------|
131. | 182 115268 16773.77 10624.55 1427.3 |
132. | 181 111764 14747.32 11349.65 1565.22 |
133. | 180 118997.1 15106.11 11228.47 1666.79 |
134. | 179 128049.6 15049.24 10253.72 1400.85 |
135. | 178 125313.1 14943.63 9795.98 1530.64 |
|-------------------------------------------------------------------------|
136. | 177 112984.2 16098.36 10525.58 1491.69 |
137. | 176 118887.2 16802.19 11877.3 1710.89 |
138. | 175 123635 19960.94 12210.46 1374.4 |
139. | 174 127533.4 18900.05 13274.88 1672.16 |
140. | 173 109991.7 18101.85 10503 1328.73 |
|-------------------------------------------------------------------------|
141. | 172 102438.4 17082.37 10352.2 1420.61 |
142. | 171 103872.3 14443.57 10620.94 1408.75 |
143. | 170 99180.14 15168.35 10350.57 1426.08 |
144. | 169 101689.7 16663.9 10303.82 1472.26 |
145. | 168 110620.4 16862.07 10008.43 1357.23 |
|-------------------------------------------------------------------------|
146. | 167 110085.2 16262.36 9938.21 1291.91 |
147. | 166 105539 15628.03 11284.46 1342.19 |
148. | 165 104238.3 15603.23 10426.96 1096.96 |
149. | 164 122911.8 15641.31 10379.95 1041.95 |
150. | 163 117220.3 15011.64 10060.33 914.62 |
|-------------------------------------------------------------------------|
151. | 162 120237 15477.06 10624.03 846.2 |
152. | 161 108026.3 12868.57 9660.5 740.41 |
153. | 160 98248.79 12665.5 8554.91 716.09 |
154. | 159 110046 12316.04 9266.58 929.27 |
155. | 158 116444.9 13927.3 8007.74 743.35 |
|-------------------------------------------------------------------------|
156. | 157 114930.1 13219.1 6920.8 726.19 |
157. | 156 112985.4 14376.57 7294.27 847.7 |
158. | 155 118249.4 14441.79 7490.34 959.05 |
159. | 154 111646.5 14138.29 7762.23 883.03 |
160. | 153 103017.5 13393.28 7755.94 873.83 |
|-------------------------------------------------------------------------|
161. | 152 106363.5 14012.39 8468.66 1010.56 |
162. | 151 112167.5 13752.41 7504.42 819.19 |
163. | 150 110968.8 13372.98 7685.43 743.5 |
164. | 149.5 109871.8 13888.85 11568.68 2198.78 |
165. | 149 87466.23 12275.86 6681.34 1011.45 |
|-------------------------------------------------------------------------|
166. | 148 126740.7 18554.71 8286.47 897.27 |
167. | 147 123331.1 20603.46 9146.15 1080.79 |
168. | 146 145249.5 18919.34 9170 1252.94 |
169. | 145 145381 19757.93 9820.77 1177.87 |
170. | 144 132716.3 20790.19 10619.58 1527.4 |
|-------------------------------------------------------------------------|
171. | 143 132697.3 20188.15 10935.69 1444.37 |
172. | 142 97221.18 18171.97 9972.141 1051.92 |
173. | 141 40761.88 9093.98 5615.32 886.35 |
174. | 140 111835.7 24755.51 11797.05 1415.05 |
175. | 139 120742.7 17464.57 9942.37 2205.81 |
|-------------------------------------------------------------------------|
176. | 138 124876.6 20099.66 11120.51 1337.24 |
177. | 137 122142.8 19526.88 10460.19 1286.62 |
178. | 136 124662.3 21118.32 11142.02 1311.8 |
179. | 135 129741.4 22990.06 11685.81 1318.91 |
180. | 134 128383.3 23693.82 12151.24 1555.67 |
|-------------------------------------------------------------------------|
181. | 133 131753.4 23564.31 12605.09 1758.33 |
182. | 132 135172.1 27277.18 14084.56 1745.9 |
183. | 131 147166.5 29864.38 15067.33 1733.99 |
184. | 130 161975.4 31243.81 14573.09 1906.91 |
185. | 129 162669.1 30337.78 15724.32 1884.46 |
|-------------------------------------------------------------------------|
186. | 128 157491.2 36339.47 14461.51 2050.7 |
187. | 127 147388.1 34364.11 14079.21 1962.65 |
188. | 126 160564.3 37808.64 15824.18 2083.25 |
189. | 125 152765.8 37786.87 15645.72 2264.28 |
190. | 124 135314.3 38958.39 15734.9 2358.95 |
|-------------------------------------------------------------------------|
191. | 123 120696.5 40018.67 14889.64 2194.56 |
192. | 122 129479.8 41699.36 17113.16 2515.35 |
193. | 121 131806.7 42386.35 16299.87 2206.86 |
194. | 120 137454.3 44638.31 16550.29 2366.4 |
195. | 119 118725.5 38974.36 15018.76 2316.55 |
|-------------------------------------------------------------------------|
196. | 118 121486.5 38062.67 14990.38 1953.21 |
197. | 117 110430 32439.37 15901.74 1872.39 |
198. | 116 112479.1 38519.34 15961.08 2290.46 |
199. | 115 126627.2 55810.72 19011.89 2737.18 |
200. | 114 147629.4 65030.97 20372.99 3105.5 |
|-------------------------------------------------------------------------|
201. | 113 161728.8 69853.28 23844.28 3395.09 |
202. | 112 161643.4 62128.49 28277.02 3811.62 |
203. | 111 136637.7 52623.01 27165.78 3601.96 |
204. | 110 139108.8 52377.86 28056.06 3618.43 |
205. | 109 139058.3 54396.15 26759.18 3237.56 |
|-------------------------------------------------------------------------|
206. | 108 130868 49589.68 27148.62 3226.39 |
207. | 107 116613.3 43553.71 23889.91 2802.56 |
208. | 106 130248.2 46259.9 26271.68 2913.16 |
209. | 105 114074.9 37228.74 23062.74 2381.57 |
210. | 104 61236.46 16708.63 19692.48 1971.38 |
|-------------------------------------------------------------------------|
211. | 103 120381.3 26686.47 34218.23 2135.82 |
212. | 102 111627.1 27074.75 30121.49 1985.26 |
213. | 101 82053.77 24077.28 19767.71 1622.27 |
214. | 100 64020.66 18604.5 13707.2 1299.34 |
215. | 99 49506.06 14915.62 10380.83 1056.76 |
|-------------------------------------------------------------------------|
216. | 98 54876.27 13672.54 9089.29 958.8 |
217. | 97 42908.79 12112.66 6320.05 775.32 |
218. | 96 54504.56 21274.66 8506.02 1304.46 |
219. | 95 48101.89 18092.44 8759.78 1407.36 |
220. | 94 48752.04 18638.16 8981.9 1384.23 |
|-------------------------------------------------------------------------|
221. | 93 49814.09 19154.5 9253.43 1440.28 |
222. | 92 49972.16 18491.47 9316.25 1433.77 |
223. | 91 48274.6 18944.45 8981.67 1301.85 |
224. | 90 44569.15 17932.71 8876.8 1392.73 |
225. | 89 47392.84 18210.32 8745.56 1286.69 |
|-------------------------------------------------------------------------|
226. | 88 48941.07 17920.62 8693.01 1371.31 |
227. | 87 52870.88 19105.06 9382.34 1444.1 |
228. | 86 50788.66 19997.83 10211.88 1578.9 |
229. | 85 43849.17 20546.61 9870.15 1689.05 |
230. | 84 52437.75 21049.61 10528.52 1551.88 |
|-------------------------------------------------------------------------|
231. | 83 58152.08 23082.32 11620.51 2509.68 |
232. | 82 56211.67 21901.3 11923.18 1639.61 |
233. | 81 59370.51 23886.62 11615.14 1635.54 |
234. | 80 67077.76 28176.62 12626.57 1678.32 |
235. | 79 67227.58 23913.91 13918.63 1581.31 |
|-------------------------------------------------------------------------|
236. | 78 64985.74 19692.11 14673.1 1656.7 |
237. | 77 73012.48 19771.29 18643.45 1511.16 |
238. | 76 96069.47 20083.79 24558.49 1615.48 |
239. | 75 63297.95 14973.29 17017.29 1156.62 |
240. | 74 0 0 0 0 |
|-------------------------------------------------------------------------|
241. | 73 36374 8633.24 7652.79 758.43 |
242. | 72 36384.69 9049.06 7418.74 715.28 |
243. | 71 26966.28 6945.22 5569.49 598.73 |
244. | 70 22315.17 5772.17 5110.03 499.14 |
245. | 69 20933.36 4972.05 4444.95 394.35 |
|-------------------------------------------------------------------------|
246. | 68 21284.1 5113.28 4392.51 399.44 |
247. | 67 20130.95 5182.08 4123.23 465.33 |
248. | 66 18206.87 4446.34 3839.29 456.63 |
249. | 65 18842.03 3928.5 4253.5 416.17 |
250. | 64 19114.82 3128.87 3222.25 390.78 |
|-------------------------------------------------------------------------|
251. | 63 15828.52 2798.63 2868.86 355.09 |
252. | 62 14623.54 3469.21 3241.83 408.56 |
253. | 61 15969.57 3930.26 3915.45 420.34 |
254. | 60 16667.5 3965 4014.4 450.64 |
255. | 59 18029.75 4316.92 3761.98 456.22 |
|-------------------------------------------------------------------------|
256. | 58 16300 3677.55 3387.34 424.49 |
257. | 57 14897.69 3447.26 3253.61 411.99 |
258. | 56 14084.4 3386.01 3148.49 397.88 |
259. | 55 15694.12 3803.23 3179.16 436.46 |
260. | 54 16548.53 4314.92 3351.47 436.19 |
|-------------------------------------------------------------------------|
261. | 53 16587.74 4216.55 3610.8 573.33 |
262. | 52 6058.073 1795.2 1731.457 348.27 |
263. | 51 17815.61 5409.98 3390.65 408.46 |
264. | 50 20337.76 5640.11 3365.37 434.02 |
265. | 49 17991.77 5735.89 3402.14 441.93 |
|-------------------------------------------------------------------------|
266. | 48 20454.73 6812.13 3925.71 470.14 |
267. | 47 19035.63 6371.32 3564.73 436.84 |
268. | 46 20563.31 7068.85 3551.15 451 |
269. | 45 20716.63 7213.18 3671.68 453.64 |
270. | 44 16207.14 4609.32 2936.67 367.43 |
|-------------------------------------------------------------------------|
271. | 43 16295.73 5277.55 2906.71 393.46 |
272. | 42 16165.22 5352.38 2743.43 362.37 |
273. | 41 14792.36 4583 2829.13 346.71 |
274. | 40 16064.9 4518.68 2754.97 328.18 |
275. | 39 14196.71 4506.88 2231.86 324.53 |
|-------------------------------------------------------------------------|
276. | 38 14695.52 4627.15 2307.02 358.06 |
277. | 37 14850.75 4951.34 2272.89 307.78 |
278. | 36 14666.46 4280.32 2230.75 337.85 |
279. | 35 11329.86 3879.17 2113.89 332.21 |
280. | 34 12433.63 3840.39 2450.02 328.13 |
|-------------------------------------------------------------------------|
281. | 33 11542.58 3838.12 2168.8 324.34 |
282. | 32 12076.05 3981.47 2704.15 328.28 |
283. | 31 10017.87 3544.83 2029.62 304.41 |
284. | 30 10825.75 3340.91 2008.36 304.85 |
285. | 29 10140.64 3324.5 1936.89 281.31 |
|-------------------------------------------------------------------------|
286. | 28 9327.17 3482.07 1910.51 291.33 |
287. | 27 10396.15 3607.76 1916.57 293.34 |
+-------------------------------------------------------------------------+
|
|
|
|
For users who are curious about the -44 merit transaction, there are 17 transactions like that (with negative amount of merit), according to the last Friday merit data dump by theymos. Details: cat | Freq. Percent Cum.
------------+-----------------------------------
neg merit | 17 0.00 0.00
pos merit | 369,275 100.00 100.00
------------+-----------------------------------
Total | 369,292 100.00
For negative merit transactions only amount | Freq. Percent Cum.
------------+-----------------------------------
-44 | 1 5.88 5.88
-10 | 5 29.41 35.29
-9 | 2 11.76 47.06
-8 | 1 5.88 52.94
-7 | 1 5.88 58.82
-5 | 2 11.76 70.59
-4 | 1 5.88 76.47
-2 | 3 17.65 94.12
-1 | 1 5.88 100.00
------------+-----------------------------------
Total | 17 100.00
There are some very special cases that get demerit activities from theymos +----------------------------------------+
| sent_userid received_userid amount |
|----------------------------------------|
32111. | 0 1724596 -44 |
216598. | 0 92110 -2 |
216599. | 0 81995 -5 |
216600. | 0 1316028 -2 |
216601. | 0 290351 -9 |
|----------------------------------------|
216602. | 0 289011 -1 |
216603. | 0 249872 -9 |
216604. | 0 249436 -7 |
216605. | 0 165478 -8 |
216606. | 0 9645 -2 |
|----------------------------------------|
216607. | 0 358020 -10 |
216608. | 0 15728 -10 |
216609. | 0 2536607 -10 |
216610. | 0 1246188 -4 |
216611. | 0 355462 -10 |
|----------------------------------------|
216612. | 0 92110 -10 |
216613. | 0 2472107 -5 |
+----------------------------------------+
Positive merit transactions amount | Freq. Percent Cum.
------------+-----------------------------------
1 | 257,562 69.75 69.75
2 | 58,063 15.72 85.47
3 | 14,514 3.93 89.40
4 | 13,416 3.63 93.04
5 | 12,896 3.49 96.53
6 | 1,677 0.45 96.98
7 | 2,180 0.59 97.57
8 | 817 0.22 97.79
9 | 494 0.13 97.93
10 | 4,338 1.17 99.10
11 | 162 0.04 99.15
12 | 211 0.06 99.20
13 | 99 0.03 99.23
14 | 70 0.02 99.25
15 | 303 0.08 99.33
16 | 78 0.02 99.35
17 | 56 0.02 99.37
18 | 51 0.01 99.38
19 | 87 0.02 99.40
20 | 716 0.19 99.60
21 | 64 0.02 99.62
22 | 48 0.01 99.63
23 | 29 0.01 99.64
24 | 32 0.01 99.64
25 | 224 0.06 99.71
26 | 28 0.01 99.71
27 | 31 0.01 99.72
28 | 16 0.00 99.73
29 | 28 0.01 99.73
30 | 145 0.04 99.77
31 | 19 0.01 99.78
32 | 22 0.01 99.78
33 | 21 0.01 99.79
34 | 14 0.00 99.79
35 | 31 0.01 99.80
36 | 9 0.00 99.80
37 | 7 0.00 99.81
38 | 12 0.00 99.81
39 | 16 0.00 99.81
40 | 64 0.02 99.83
41 | 9 0.00 99.83
42 | 10 0.00 99.84
43 | 6 0.00 99.84
44 | 8 0.00 99.84
45 | 22 0.01 99.85
46 | 9 0.00 99.85
47 | 3 0.00 99.85
48 | 7 0.00 99.85
49 | 14 0.00 99.85
50 | 537 0.15 100.00
------------+-----------------------------------
Total | 369,275 100.00
|
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Are these all legitimate websites?
Seems to be a great website if it's relying on reports from a lot of websites online. I like the concept to know if the address is a Address of a scammer.
But still, I'm guessing this is not 100% accurate? or some results could also be manipulated by the scammers? or even the website is own by scammers.
Legitimate websites or not, should you rely on them for your decision-making process? You should NOT. I don't rely on them, personally. Third-party websites are only for reference and you should NOT solely rely on them. The scam tag, check progresses and their algorithms are unknown. Even when they publish those algorithms pubicly, we should still NOT rely on them. Further expansions: Investors can visit coinmarketcap.com, coingecko.com, messari.io and many other crypto market sites but if one simply relies on a single site to make an investment decision, they will end with bad someday. Use any sites you want with your own due diligence and be aware of phishing, scam sites. Always do your own meta-analysis for your decisions. |
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Awesome, at least there is a guy who does not feel disappointed and give a try.
We guys have many channels to communicate locally, but bitcointalk still likes one of the best place to share the knowledge, learn and have friends. For us, we should have a board, yes, but it should be in Vietnamese, I think the bitcointalk management board should have responsible on it if they feel bitcointalk is for people, for community.
Welcome back to the forum, shibob.  I have never give up since the day I joined the forum. Merit system has not yet eaten me up and the thread is another effort of mine to contribute to the Vietnamese local community. I do hope that when time goes on, the thread will be able to collect more good Vietnamese users or at least users who have been working or living in Vietnam (even they are foreigners). There is no green light for something seriously can be changed in short term and even in the long run honestly. BUT don't give up please. Thank you for informing us about the article on Bitcoinvn.io. |
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I need another loan. Thank you. Request For a No Collateral Loan from DarkStarRequired BTC Amount: 0.1 BTCEstimated Loan Duration: 1 to 2 months. BTC Address: 16J4EgmFpiWBtji3WNyyqXQPcqnX6Z4JRA Signed Message: -----BEGIN BITCOIN SIGNED MESSAGE-----
This is tranthidung from bitcointalk and today is the 6th of July, 2020.
I am asking DarkStar_ for a 0.1 BTC loan.
Estimated duration :1 to 2 months.
If accepted, please send 0.1 BTC to : 16J4EgmFpiWBtji3WNyyqXQPcqnX6Z4JRA
-----BEGIN SIGNATURE-----
bc1qkjrr4u80fpyk59nlrlmzyfxfe37smauherfvfr
H9vROWUXrRMpvCjQQL4IzeN/CZCPBq0m+k95Kmi/7l71A7DEqiqVwjUNeRhzMMBNwvEu3day2d2ESG/8yHS7qCg=
-----END BITCOIN SIGNED MESSAGE----- |
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I appreciate the work, but as one of the active member of the charity of the one you made for this logo, I guess you need to enhance your skills regarding the work as I see it as not visual or remarkable. You might need to consider that the charity is bitcoin related so it should have been related to that, as for charity symbols and font selection also matters. Anyway, seems I sound demanding for a free offer but you can keep it as idea for your future clients and offers. Cheer up.  As one of users who requested a free avatar here, I would like to leave a comment for OP. It is true and honest comment. The temporary quality of designed avatars is not good. I don't say it is low because I don't want to kill OP's motivation. Everyone need to start from somewhere, on the forum from newbies, or from any services like signature or avatar designs. Keep practicing and you will do improve your design skills. Some day your design skills and your works will become much better. I don't know why you choose graphic design because it does require creativeness that is the most important thing to help you achieve something big. Without creativeness, you will not going nowhere farther. |
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There are the same topic or thread release and one of our members mentioned it and I think it just needs to post to that thread so we are avoiding having a duplicate of threads
You can suggest or advise people from time to time but in any topic area, there are new people will create new threads about the same thing, even their threads have lower quality than available ones. There are many reasons: - They've known about available threads but ignore it and create new ones to hope merits will come to them. They are lack of creative ideas for something new.
- They don't know about the forum's Search page
A Complete Guideline to use forum search button properlyI just quite confusing how to they record all of the information if the addresses do they have an API of the blockchain or any platform that's why they have the record.
Also is this a reliable source and secured? and what if the person or the owner of the address just a mixer or used a mixer to avoid getting too much information came from the main account and just hide the transaction with the particular address.
Such sites for Bitcoin scam checking are third-party ones and of course there are good and bad you don't actually know. The same goes for rankings on gambling, casino review sites or marketcap sites. Their ranking algorithms are secret things and you will never know how they rank casinos, projects or verify bitcoin address's scam accusations. Their info can be right or wrong and their info can be distorted by their shady purposes or by purposes of people who hire them to do so. |
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Update for you LoyceV. No spike in June. Variable notes:- wokeup: woke up
- prvia_e: password reset via email
- prvia_sq: password reset via secret question
- pc: password changed
- mrecovery: manual recovery
+------------------------------------------------------------------------------------------------+
| date wokeup prvia_e prvia_sq pc mrecovery dofw week month year |
|------------------------------------------------------------------------------------------------|
1510. | 01jan2020 167 31 0 18 0 Wednesday 2020w1 2020m1 2020 |
1511. | 02jan2020 191 50 0 11 0 Thursday 2020w1 2020m1 2020 |
1512. | 03jan2020 187 43 0 12 0 Friday 2020w1 2020m1 2020 |
1513. | 04jan2020 206 55 0 13 0 Saturday 2020w1 2020m1 2020 |
1514. | 05jan2020 177 52 0 9 0 Sunday 2020w1 2020m1 2020 |
1515. | 06jan2020 233 63 2 11 3 Monday 2020w1 2020m1 2020 |
1516. | 07jan2020 277 54 1 14 1 Tuesday 2020w1 2020m1 2020 |
1517. | 08jan2020 267 73 1 20 3 Wednesday 2020w2 2020m1 2020 |
1518. | 09jan2020 228 59 0 30 0 Thursday 2020w2 2020m1 2020 |
1519. | 10jan2020 224 49 0 8 0 Friday 2020w2 2020m1 2020 |
1520. | 11jan2020 226 57 0 27 0 Saturday 2020w2 2020m1 2020 |
1521. | 12jan2020 231 48 3 9 0 Sunday 2020w2 2020m1 2020 |
1522. | 13jan2020 279 57 0 21 0 Monday 2020w2 2020m1 2020 |
1523. | 14jan2020 317 73 0 20 3 Tuesday 2020w2 2020m1 2020 |
1524. | 15jan2020 264 59 0 23 0 Wednesday 2020w3 2020m1 2020 |
1525. | 16jan2020 238 56 0 16 2 Thursday 2020w3 2020m1 2020 |
1526. | 17jan2020 212 50 0 10 1 Friday 2020w3 2020m1 2020 |
1527. | 18jan2020 184 45 0 11 0 Saturday 2020w3 2020m1 2020 |
1528. | 19jan2020 178 51 0 21 0 Sunday 2020w3 2020m1 2020 |
1529. | 20jan2020 212 47 1 20 2 Monday 2020w3 2020m1 2020 |
1530. | 21jan2020 240 41 2 24 0 Tuesday 2020w3 2020m1 2020 |
1531. | 22jan2020 206 58 0 20 0 Wednesday 2020w4 2020m1 2020 |
1532. | 23jan2020 167 54 3 14 0 Thursday 2020w4 2020m1 2020 |
1533. | 24jan2020 175 43 1 14 0 Friday 2020w4 2020m1 2020 |
1534. | 25jan2020 188 43 0 20 0 Saturday 2020w4 2020m1 2020 |
1535. | 26jan2020 161 42 0 30 0 Sunday 2020w4 2020m1 2020 |
1536. | 27jan2020 195 47 0 27 3 Monday 2020w4 2020m1 2020 |
1537. | 28jan2020 249 55 0 17 1 Tuesday 2020w4 2020m1 2020 |
1538. | 29jan2020 210 52 0 11 0 Wednesday 2020w5 2020m1 2020 |
1539. | 30jan2020 245 49 3 11 1 Thursday 2020w5 2020m1 2020 |
1540. | 31jan2020 215 48 1 12 3 Friday 2020w5 2020m1 2020 |
1541. | 01feb2020 180 38 0 6 0 Saturday 2020w5 2020m2 2020 |
1542. | 02feb2020 215 54 0 11 0 Sunday 2020w5 2020m2 2020 |
1543. | 03feb2020 567 59 0 16 2 Monday 2020w5 2020m2 2020 |
1544. | 04feb2020 243 52 0 17 2 Tuesday 2020w5 2020m2 2020 |
1545. | 05feb2020 241 75 0 20 0 Wednesday 2020w6 2020m2 2020 |
1546. | 06feb2020 2612 50 0 15 0 Thursday 2020w6 2020m2 2020 |
1547. | 07feb2020 243 50 3 6 0 Friday 2020w6 2020m2 2020 |
1548. | 08feb2020 215 57 2 12 0 Saturday 2020w6 2020m2 2020 |
1549. | 09feb2020 221 51 1 16 0 Sunday 2020w6 2020m2 2020 |
1550. | 10feb2020 535 70 1 19 0 Monday 2020w6 2020m2 2020 |
1551. | 11feb2020 1020 68 1 22 0 Tuesday 2020w6 2020m2 2020 |
1552. | 12feb2020 308 70 0 16 0 Wednesday 2020w7 2020m2 2020 |
1553. | 13feb2020 293 57 1 10 0 Thursday 2020w7 2020m2 2020 |
1554. | 14feb2020 221 62 0 14 0 Friday 2020w7 2020m2 2020 |
1555. | 15feb2020 225 70 0 24 0 Saturday 2020w7 2020m2 2020 |
1556. | 16feb2020 227 42 0 15 0 Sunday 2020w7 2020m2 2020 |
1557. | 17feb2020 375 66 0 18 0 Monday 2020w7 2020m2 2020 |
1558. | 18feb2020 320 67 2 12 0 Tuesday 2020w7 2020m2 2020 |
1559. | 19feb2020 308 106 0 27 0 Wednesday 2020w8 2020m2 2020 |
1560. | 20feb2020 253 77 0 22 0 Thursday 2020w8 2020m2 2020 |
1561. | 21feb2020 244 52 0 16 0 Friday 2020w8 2020m2 2020 |
1562. | 22feb2020 590 45 1 5 0 Saturday 2020w8 2020m2 2020 |
1563. | 23feb2020 498 42 1 12 0 Sunday 2020w8 2020m2 2020 |
1564. | 24feb2020 237 53 1 10 0 Monday 2020w8 2020m2 2020 |
1565. | 25feb2020 208 52 0 20 0 Tuesday 2020w8 2020m2 2020 |
1566. | 26feb2020 211 43 0 10 0 Wednesday 2020w9 2020m2 2020 |
1567. | 27feb2020 202 56 0 21 0 Thursday 2020w9 2020m2 2020 |
1568. | 28feb2020 189 39 0 9 2 Friday 2020w9 2020m2 2020 |
1569. | 29feb2020 185 64 0 10 0 Saturday 2020w9 2020m2 2020 |
1570. | 01mar2020 171 51 0 9 0 Sunday 2020w9 2020m3 2020 |
1571. | 02mar2020 157 42 0 13 1 Monday 2020w9 2020m3 2020 |
1572. | 03mar2020 199 46 0 17 0 Tuesday 2020w9 2020m3 2020 |
1573. | 04mar2020 242 57 0 20 0 Wednesday 2020w10 2020m3 2020 |
1574. | 05mar2020 210 56 2 8 1 Thursday 2020w10 2020m3 2020 |
1575. | 06mar2020 203 35 0 15 0 Friday 2020w10 2020m3 2020 |
1576. | 07mar2020 171 36 0 12 0 Saturday 2020w10 2020m3 2020 |
1577. | 08mar2020 178 39 0 11 0 Sunday 2020w10 2020m3 2020 |
1578. | 09mar2020 189 46 0 9 1 Monday 2020w10 2020m3 2020 |
1579. | 10mar2020 203 38 0 20 0 Tuesday 2020w10 2020m3 2020 |
1580. | 11mar2020 218 54 0 18 0 Wednesday 2020w11 2020m3 2020 |
1581. | 12mar2020 217 47 0 8 0 Thursday 2020w11 2020m3 2020 |
1582. | 13mar2020 205 47 0 8 0 Friday 2020w11 2020m3 2020 |
1583. | 14mar2020 668 43 0 13 0 Saturday 2020w11 2020m3 2020 |
1584. | 15mar2020 680 41 0 10 0 Sunday 2020w11 2020m3 2020 |
1585. | 16mar2020 624 37 0 6 0 Monday 2020w11 2020m3 2020 |
1586. | 17mar2020 600 37 0 11 0 Tuesday 2020w11 2020m3 2020 |
1587. | 18mar2020 415 31 0 14 0 Wednesday 2020w12 2020m3 2020 |
1588. | 19mar2020 158 45 0 14 0 Thursday 2020w12 2020m3 2020 |
1589. | 20mar2020 184 38 1 38 0 Friday 2020w12 2020m3 2020 |
1590. | 21mar2020 196 53 0 13 0 Saturday 2020w12 2020m3 2020 |
1591. | 22mar2020 192 34 0 18 0 Sunday 2020w12 2020m3 2020 |
1592. | 23mar2020 263 45 0 14 0 Monday 2020w12 2020m3 2020 |
1593. | 24mar2020 299 41 0 11 0 Tuesday 2020w12 2020m3 2020 |
1594. | 25mar2020 180 39 0 10 0 Wednesday 2020w13 2020m3 2020 |
1595. | 26mar2020 193 51 0 16 0 Thursday 2020w13 2020m3 2020 |
1596. | 27mar2020 173 40 4 24 0 Friday 2020w13 2020m3 2020 |
1597. | 28mar2020 153 46 1 9 0 Saturday 2020w13 2020m3 2020 |
1598. | 29mar2020 150 37 1 14 0 Sunday 2020w13 2020m3 2020 |
1599. | 30mar2020 198 45 0 11 0 Monday 2020w13 2020m3 2020 |
1600. | 31mar2020 181 48 1 21 0 Tuesday 2020w13 2020m3 2020 |
1601. | 01apr2020 164 64 1 11 0 Wednesday 2020w14 2020m4 2020 |
1602. | 02apr2020 175 44 0 11 0 Thursday 2020w14 2020m4 2020 |
1603. | 03apr2020 206 54 0 20 0 Friday 2020w14 2020m4 2020 |
1604. | 04apr2020 173 54 0 7 0 Saturday 2020w14 2020m4 2020 |
1605. | 05apr2020 220 51 3 5 0 Sunday 2020w14 2020m4 2020 |
1606. | 06apr2020 209 48 0 24 1 Monday 2020w14 2020m4 2020 |
1607. | 07apr2020 189 50 0 4 0 Tuesday 2020w14 2020m4 2020 |
1608. | 08apr2020 244 67 0 21 0 Wednesday 2020w15 2020m4 2020 |
1609. | 09apr2020 232 54 0 66 0 Thursday 2020w15 2020m4 2020 |
1610. | 10apr2020 241 53 1 19 0 Friday 2020w15 2020m4 2020 |
1611. | 11apr2020 243 52 0 16 0 Saturday 2020w15 2020m4 2020 |
1612. | 12apr2020 181 45 3 9 0 Sunday 2020w15 2020m4 2020 |
1613. | 13apr2020 189 59 2 15 1 Monday 2020w15 2020m4 2020 |
1614. | 14apr2020 291 50 0 13 0 Tuesday 2020w15 2020m4 2020 |
1615. | 15apr2020 367 70 0 18 0 Wednesday 2020w16 2020m4 2020 |
1616. | 16apr2020 235 67 0 10 0 Thursday 2020w16 2020m4 2020 |
1617. | 17apr2020 226 53 2 16 0 Friday 2020w16 2020m4 2020 |
1618. | 18apr2020 197 47 0 9 0 Saturday 2020w16 2020m4 2020 |
1619. | 19apr2020 246 43 1 12 0 Sunday 2020w16 2020m4 2020 |
1620. | 20apr2020 198 52 0 12 0 Monday 2020w16 2020m4 2020 |
1621. | 21apr2020 211 50 1 11 0 Tuesday 2020w16 2020m4 2020 |
1622. | 22apr2020 304 47 0 15 0 Wednesday 2020w17 2020m4 2020 |
1623. | 23apr2020 199 63 1 21 0 Thursday 2020w17 2020m4 2020 |
1624. | 24apr2020 194 58 1 12 0 Friday 2020w17 2020m4 2020 |
1625. | 25apr2020 227 60 0 6 0 Saturday 2020w17 2020m4 2020 |
1626. | 26apr2020 208 45 0 14 0 Sunday 2020w17 2020m4 2020 |
1627. | 27apr2020 245 54 1 16 0 Monday 2020w17 2020m4 2020 |
1628. | 28apr2020 229 52 0 15 0 Tuesday 2020w17 2020m4 2020 |
1629. | 29apr2020 242 57 1 10 0 Wednesday 2020w18 2020m4 2020 |
1630. | 30apr2020 274 58 0 19 0 Thursday 2020w18 2020m4 2020 |
1631. | 01may2020 190 44 0 26 0 Friday 2020w18 2020m5 2020 |
1632. | 02may2020 212 55 0 17 0 Saturday 2020w18 2020m5 2020 |
1633. | 03may2020 202 66 0 14 0 Sunday 2020w18 2020m5 2020 |
1634. | 04may2020 212 45 3 13 0 Monday 2020w18 2020m5 2020 |
1635. | 05may2020 269 35 1 24 0 Tuesday 2020w18 2020m5 2020 |
1636. | 06may2020 223 48 3 11 0 Wednesday 2020w19 2020m5 2020 |
1637. | 07may2020 199 49 0 15 0 Thursday 2020w19 2020m5 2020 |
1638. | 08may2020 240 47 0 11 0 Friday 2020w19 2020m5 2020 |
1639. | 09may2020 228 47 0 14 0 Saturday 2020w19 2020m5 2020 |
1640. | 10may2020 208 45 2 16 0 Sunday 2020w19 2020m5 2020 |
1641. | 11may2020 222 40 0 10 0 Monday 2020w19 2020m5 2020 |
1642. | 12may2020 231 44 0 15 1 Tuesday 2020w19 2020m5 2020 |
1643. | 13may2020 194 54 0 13 0 Wednesday 2020w20 2020m5 2020 |
1644. | 14may2020 227 44 0 12 0 Thursday 2020w20 2020m5 2020 |
1645. | 15may2020 219 38 0 13 0 Friday 2020w20 2020m5 2020 |
1646. | 16may2020 193 50 0 10 0 Saturday 2020w20 2020m5 2020 |
1647. | 17may2020 187 44 0 14 0 Sunday 2020w20 2020m5 2020 |
1648. | 18may2020 220 67 1 17 6 Monday 2020w20 2020m5 2020 |
1649. | 19may2020 190 46 0 14 0 Tuesday 2020w20 2020m5 2020 |
1650. | 20may2020 210 45 1 6 0 Wednesday 2020w21 2020m5 2020 |
1651. | 21may2020 218 38 0 6 2 Thursday 2020w21 2020m5 2020 |
1652. | 22may2020 229 45 3 9 0 Friday 2020w21 2020m5 2020 |
1653. | 23may2020 189 34 2 16 0 Saturday 2020w21 2020m5 2020 |
1654. | 24may2020 191 45 2 9 0 Sunday 2020w21 2020m5 2020 |
1655. | 25may2020 287 65 1 6 0 Monday 2020w21 2020m5 2020 |
1656. | 26may2020 216 61 1 15 2 Tuesday 2020w21 2020m5 2020 |
1657. | 27may2020 211 48 1 12 0 Wednesday 2020w22 2020m5 2020 |
1658. | 28may2020 204 58 4 12 0 Thursday 2020w22 2020m5 2020 |
1659. | 29may2020 213 50 0 11 1 Friday 2020w22 2020m5 2020 |
1660. | 30may2020 202 50 0 10 0 Saturday 2020w22 2020m5 2020 |
1661. | 31may2020 225 53 0 14 0 Sunday 2020w22 2020m5 2020 |
1662. | 01jun2020 205 43 0 9 0 Monday 2020w22 2020m6 2020 |
1663. | 02jun2020 189 39 0 11 0 Tuesday 2020w22 2020m6 2020 |
1664. | 03jun2020 214 46 0 13 0 Wednesday 2020w23 2020m6 2020 |
1665. | 04jun2020 254 50 0 12 0 Thursday 2020w23 2020m6 2020 |
1666. | 05jun2020 199 36 2 15 1 Friday 2020w23 2020m6 2020 |
1667. | 06jun2020 184 35 0 10 0 Saturday 2020w23 2020m6 2020 |
1668. | 07jun2020 157 35 3 5 0 Sunday 2020w23 2020m6 2020 |
1669. | 08jun2020 206 49 0 8 0 Monday 2020w23 2020m6 2020 |
1670. | 09jun2020 246 43 0 9 0 Tuesday 2020w23 2020m6 2020 |
1671. | 10jun2020 205 44 1 11 3 Wednesday 2020w24 2020m6 2020 |
1672. | 11jun2020 216 53 0 14 0 Thursday 2020w24 2020m6 2020 |
1673. | 12jun2020 197 37 1 9 0 Friday 2020w24 2020m6 2020 |
1674. | 13jun2020 139 38 1 7 0 Saturday 2020w24 2020m6 2020 |
1675. | 14jun2020 186 43 0 10 0 Sunday 2020w24 2020m6 2020 |
1676. | 15jun2020 171 38 0 11 0 Monday 2020w24 2020m6 2020 |
1677. | 16jun2020 223 53 2 26 0 Tuesday 2020w24 2020m6 2020 |
1678. | 17jun2020 171 44 0 10 0 Wednesday 2020w25 2020m6 2020 |
1679. | 18jun2020 211 49 0 12 0 Thursday 2020w25 2020m6 2020 |
1680. | 19jun2020 251 40 0 11 1 Friday 2020w25 2020m6 2020 |
1681. | 20jun2020 165 30 0 7 0 Saturday 2020w25 2020m6 2020 |
1682. | 21jun2020 160 34 0 6 0 Sunday 2020w25 2020m6 2020 |
1683. | 22jun2020 194 49 3 7 0 Monday 2020w25 2020m6 2020 |
1684. | 23jun2020 164 31 3 14 0 Tuesday 2020w25 2020m6 2020 |
1685. | 24jun2020 156 42 1 18 0 Wednesday 2020w26 2020m6 2020 |
1686. | 25jun2020 285 37 0 13 0 Thursday 2020w26 2020m6 2020 |
1687. | 26jun2020 147 25 0 8 1 Friday 2020w26 2020m6 2020 |
1688. | 27jun2020 180 42 0 7 0 Saturday 2020w26 2020m6 2020 |
1689. | 28jun2020 171 38 1 6 0 Sunday 2020w26 2020m6 2020 |
1690. | 29jun2020 196 33 1 15 0 Monday 2020w26 2020m6 2020 |
1691. | 30jun2020 204 36 0 12 0 Tuesday 2020w26 2020m6 2020 |
1692. | 01jul2020 209 46 0 11 1 Wednesday 2020w27 2020m7 2020 |
1693. | 02jul2020 167 41 0 10 2 Thursday 2020w27 2020m7 2020 |
1694. | 03jul2020 154 36 0 19 0 Friday 2020w27 2020m7 2020 |
1695. | 04jul2020 156 24 1 6 0 Saturday 2020w27 2020m7 2020 |
1696. | 05jul2020 5 1 0 0 0 Sunday 2020w27 2020m7 2020 |
+------------------------------------------------------------------------------------------------+
Summary for variables: wokeup
by categories of: month
month | N mean sd p50 p25 p75 min max
----------+--------------------------------------------------------------------------------
2020m1 | 31.0 217.7 37.8 212.0 187.0 240.0 161.0 317.0
2020m2 | 29.0 392.6 462.7 243.0 215.0 320.0 180.0 2612.0
2020m3 | 31.0 260.3 158.3 198.0 178.0 242.0 150.0 680.0
2020m4 | 30.0 225.3 42.8 223.0 197.0 243.0 164.0 367.0
2020m5 | 31.0 214.9 22.2 212.0 199.0 225.0 187.0 287.0
2020m6 | 30.0 194.9 33.9 195.0 171.0 211.0 139.0 285.0
2020m7 | 5.0 138.2 77.7 156.0 154.0 167.0 5.0 209.0
----------+--------------------------------------------------------------------------------
Total | 187.0 246.9 204.1 211.0 189.0 241.0 5.0 2612.0
-------------------------------------------------------------------------------------------
Summary for variables: prvia_e
by categories of: month
month | N mean sd p50 p25 p75 min max
----------+--------------------------------------------------------------------------------
2020m1 | 31.0 51.7 8.7 51.0 47.0 57.0 31.0 73.0
2020m2 | 29.0 58.2 14.2 56.0 50.0 67.0 38.0 106.0
2020m3 | 31.0 43.4 6.7 43.0 38.0 47.0 31.0 57.0
2020m4 | 30.0 54.0 7.1 53.0 50.0 58.0 43.0 70.0
2020m5 | 31.0 48.4 8.4 47.0 44.0 53.0 34.0 67.0
2020m6 | 30.0 40.4 6.9 39.5 36.0 44.0 25.0 53.0
2020m7 | 5.0 29.6 18.0 36.0 24.0 41.0 1.0 46.0
----------+--------------------------------------------------------------------------------
Total | 187.0 48.8 11.4 48.0 42.0 54.0 1.0 106.0
-------------------------------------------------------------------------------------------
Summary for variables: prvia_sq
by categories of: month
month | N mean sd p50 p25 p75 min max
----------+--------------------------------------------------------------------------------
2020m1 | 31.0 0.6 1.0 0.0 0.0 1.0 0.0 3.0
2020m2 | 29.0 0.5 0.8 0.0 0.0 1.0 0.0 3.0
2020m3 | 31.0 0.3 0.8 0.0 0.0 0.0 0.0 4.0
2020m4 | 30.0 0.6 0.9 0.0 0.0 1.0 0.0 3.0
2020m5 | 31.0 0.8 1.2 0.0 0.0 1.0 0.0 4.0
2020m6 | 30.0 0.6 1.0 0.0 0.0 1.0 0.0 3.0
2020m7 | 5.0 0.2 0.4 0.0 0.0 0.0 0.0 1.0
----------+--------------------------------------------------------------------------------
Total | 187.0 0.6 0.9 0.0 0.0 1.0 0.0 4.0
-------------------------------------------------------------------------------------------
Summary for variables: pc
by categories of: month
month | N mean sd p50 p25 p75 min max
----------+--------------------------------------------------------------------------------
2020m1 | 31.0 16.9 6.4 16.0 11.0 21.0 8.0 30.0
2020m2 | 29.0 14.9 5.6 15.0 10.0 19.0 5.0 27.0
2020m3 | 31.0 14.0 6.2 13.0 10.0 17.0 6.0 38.0
2020m4 | 30.0 15.2 10.8 13.5 10.0 18.0 4.0 66.0
2020m5 | 31.0 13.1 4.4 13.0 10.0 15.0 6.0 26.0
2020m6 | 30.0 10.9 4.2 10.5 8.0 13.0 5.0 26.0
2020m7 | 5.0 9.2 7.0 10.0 6.0 11.0 0.0 19.0
----------+--------------------------------------------------------------------------------
Total | 187.0 14.0 6.8 13.0 10.0 17.0 0.0 66.0
-------------------------------------------------------------------------------------------
Summary for variables: mrecovery
by categories of: month
month | N mean sd p50 p25 p75 min max
----------+--------------------------------------------------------------------------------
2020m1 | 31.0 0.7 1.2 0.0 0.0 1.0 0.0 3.0
2020m2 | 29.0 0.2 0.6 0.0 0.0 0.0 0.0 2.0
2020m3 | 31.0 0.1 0.3 0.0 0.0 0.0 0.0 1.0
2020m4 | 30.0 0.1 0.3 0.0 0.0 0.0 0.0 1.0
2020m5 | 31.0 0.4 1.2 0.0 0.0 0.0 0.0 6.0
2020m6 | 30.0 0.2 0.6 0.0 0.0 0.0 0.0 3.0
2020m7 | 5.0 0.6 0.9 0.0 0.0 1.0 0.0 2.0
----------+--------------------------------------------------------------------------------
Total | 187.0 0.3 0.8 0.0 0.0 0.0 0.0 6.0
-------------------------------------------------------------------------------------------
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Intra-month merits (from 24/1/2018 to 30/6/2020)There are days dropped in order to get data for entire month. Day with id > 889 dropped because those days belong to the incomplete July of 2020 (2020m7).Converted dataset: +-----------------+
| merit month |
|-----------------|
1. | 39170 2018m1 |
2. | 48374 2018m2 |
3. | 32141 2018m3 |
4. | 23482 2018m4 |
5. | 19807 2018m5 |
|-----------------|
6. | 18693 2018m6 |
7. | 18286 2018m7 |
8. | 16631 2018m8 |
9. | 22075 2018m9 |
10. | 18592 2018m10 |
|-----------------|
11. | 17442 2018m11 |
12. | 15609 2018m12 |
13. | 22875 2019m1 |
14. | 17756 2019m2 |
15. | 21467 2019m3 |
|-----------------|
16. | 20698 2019m4 |
17. | 22069 2019m5 |
18. | 20355 2019m6 |
19. | 18485 2019m7 |
20. | 16094 2019m8 |
|-----------------|
21. | 17406 2019m9 |
22. | 21583 2019m10 |
23. | 42866 2019m11 |
24. | 24909 2019m12 |
25. | 28281 2020m1 |
|-----------------|
26. | 25475 2020m2 |
27. | 22806 2020m3 |
28. | 22524 2020m4 |
29. | 23874 2020m5 |
30. | 19199 2020m6 |
+-----------------+
- 50% of observed months ( 30 months) have total intra-month merits above 21525, whilst the rest 50% of them have total intra-month merits below 21525. 21525 is the median - p50. - 50% of observed months have total intra-month merits fluctuated in the range from 18485 to 23874 (the interquartile range, from p25 to p75, in raw statistics below). - Min - max: 15609 - 48374. variable | N mean sd p50 p25 p75 min max
-------------+--------------------------------------------------------------------------------
merit | 30 23300.8 7825.508 21525 18485 23874 15609 48374
----------------------------------------------------------------------------------------------
. di 23874-18485
5389
. di 5389*1.5
8083.5
. di 23874+8083.5
31957.5
. di 18485-8083.5
10401.5
It means that potential outliers are months that have intra-month merits beyond 10402 or 31958. How many months are potential outliers? . count if (merit >= 31958 | merit <= 10402) & merit != .
4
months are outliers, in total. List of those four months: +-----------------+
| 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, at 42866.
|
|
|
|
Intra-week merits (from 24/1/2018 to 30/6/2020)Last 3 days dropped due to incomplete week (2020w27) and an incomplete day (dayid = 892)Converted dataset: +-----------------+
| merit week |
|-----------------|
1. | 27920 2018w4 |
2. | 20930 2018w5 |
3. | 14042 2018w6 |
4. | 11901 2018w7 |
5. | 8879 2018w8 |
|-----------------|
6. | 9005 2018w9 |
7. | 7178 2018w10 |
8. | 7340 2018w11 |
9. | 7138 2018w12 |
10. | 6392 2018w13 |
|-----------------|
11. | 6542 2018w14 |
12. | 5946 2018w15 |
13. | 4449 2018w16 |
14. | 4820 2018w17 |
15. | 5043 2018w18 |
|-----------------|
16. | 4685 2018w19 |
17. | 4431 2018w20 |
18. | 3903 2018w21 |
19. | 4248 2018w22 |
20. | 4473 2018w23 |
|-----------------|
21. | 3953 2018w24 |
22. | 4574 2018w25 |
23. | 4684 2018w26 |
24. | 4367 2018w27 |
25. | 4109 2018w28 |
|-----------------|
26. | 4277 2018w29 |
27. | 3809 2018w30 |
28. | 3489 2018w31 |
29. | 4199 2018w32 |
30. | 3767 2018w33 |
|-----------------|
31. | 3763 2018w34 |
32. | 3186 2018w35 |
33. | 3536 2018w36 |
34. | 3586 2018w37 |
35. | 9587 2018w38 |
|-----------------|
36. | 4508 2018w39 |
37. | 4325 2018w40 |
38. | 3981 2018w41 |
39. | 4424 2018w42 |
40. | 4386 2018w43 |
|-----------------|
41. | 3321 2018w44 |
42. | 4175 2018w45 |
43. | 4047 2018w46 |
44. | 4606 2018w47 |
45. | 3791 2018w48 |
|-----------------|
46. | 3596 2018w49 |
47. | 3689 2018w50 |
48. | 3615 2018w51 |
49. | 3687 2018w52 |
50. | 4584 2019w1 |
|-----------------|
51. | 6102 2019w2 |
52. | 5776 2019w3 |
53. | 4582 2019w4 |
54. | 4408 2019w5 |
55. | 4505 2019w6 |
|-----------------|
56. | 4259 2019w7 |
57. | 4314 2019w8 |
58. | 4726 2019w9 |
59. | 4979 2019w10 |
60. | 4295 2019w11 |
|-----------------|
61. | 4690 2019w12 |
62. | 5728 2019w13 |
63. | 4695 2019w14 |
64. | 5253 2019w15 |
65. | 4880 2019w16 |
|-----------------|
66. | 4260 2019w17 |
67. | 4817 2019w18 |
68. | 5002 2019w19 |
69. | 5596 2019w20 |
70. | 4693 2019w21 |
|-----------------|
71. | 4342 2019w22 |
72. | 4597 2019w23 |
73. | 5373 2019w24 |
74. | 4629 2019w25 |
75. | 4672 2019w26 |
|-----------------|
76. | 3882 2019w27 |
77. | 4462 2019w28 |
78. | 4005 2019w29 |
79. | 4377 2019w30 |
80. | 3603 2019w31 |
|-----------------|
81. | 3346 2019w32 |
82. | 3965 2019w33 |
83. | 3811 2019w34 |
84. | 3579 2019w35 |
85. | 3683 2019w36 |
|-----------------|
86. | 4005 2019w37 |
87. | 4382 2019w38 |
88. | 4348 2019w39 |
89. | 4209 2019w40 |
90. | 4701 2019w41 |
|-----------------|
91. | 5160 2019w42 |
92. | 5375 2019w43 |
93. | 4816 2019w44 |
94. | 4753 2019w45 |
95. | 11070 2019w46 |
|-----------------|
96. | 20397 2019w47 |
97. | 6271 2019w48 |
98. | 4650 2019w49 |
99. | 4832 2019w50 |
100. | 6066 2019w51 |
|-----------------|
101. | 7058 2019w52 |
102. | 5745 2020w1 |
103. | 5395 2020w2 |
104. | 7247 2020w3 |
105. | 6646 2020w4 |
|-----------------|
106. | 6756 2020w5 |
107. | 5573 2020w6 |
108. | 6923 2020w7 |
109. | 6314 2020w8 |
110. | 5237 2020w9 |
|-----------------|
111. | 4622 2020w10 |
112. | 5109 2020w11 |
113. | 5603 2020w12 |
114. | 5392 2020w13 |
115. | 6061 2020w14 |
|-----------------|
116. | 5094 2020w15 |
117. | 5052 2020w16 |
118. | 4539 2020w17 |
119. | 5699 2020w18 |
120. | 5648 2020w19 |
|-----------------|
121. | 5802 2020w20 |
122. | 5334 2020w21 |
123. | 4662 2020w22 |
124. | 4676 2020w23 |
125. | 4190 2020w24 |
|-----------------|
126. | 4366 2020w25 |
127. | 4474 2020w26 |
+-----------------+
- 50% of observed weeks ( 127 weeks) have total intra-week merits above 4662, whilst the rest 50% of them have total intra-week merits below 4662. 4662 is the median - p50. - 50% of observed weeks have total intra-week merits fluctuated in the range from 4248 to 5603 (the interquartile range, from p25 to p75, in raw statistics below). - Min - max: 3186 - 27920. variable | N mean sd p50 p25 p75 min max
-------------+--------------------------------------------------------------------------------
merit | 127.0 5504.1 3227.2 4662.0 4248.0 5603.0 3186.0 27920.0
----------------------------------------------------------------------------------------------
. di 5603-4248
1355
. di 1355*1.5
2032.5
. di 5603+2032.5
7635.5
. di 4248-2032.5
2215.5
It means that potential outliers are weeks that have intra-week merits beyond 2216 or 7636. How many weeks are potential outliers? . count if (merit >= 7636 | merit < 2216) & merit != .
9
weeks are outliers, in total. List of those 9 weeks: +-----------------+
| merit week |
|-----------------|
1. | 27920 2018w4 |
2. | 20930 2018w5 |
3. | 14042 2018w6 |
4. | 11901 2018w7 |
5. | 8879 2018w8 |
|-----------------|
6. | 9005 2018w9 |
35. | 9587 2018w38 |
95. | 11070 2019w46 |
96. | 20397 2019w47 |
+-----------------+
Most of them occured in the year 2018, and there is only 2 outliers week occured in 2019, in 2019w46 (11070), 2019w47 (20397). None of them occured in 2020 so far. List of weeks in descending weekly meritsThe last week (with 4474 merits) stays at the 76th position, among 127 weeks. +------------------------------+
| weeklyrank merit week |
|------------------------------|
1. | 1 27920 2018w4 |
2. | 2 20930 2018w5 |
3. | 3 20397 2019w47 |
4. | 4 14042 2018w6 |
5. | 5 11901 2018w7 |
|------------------------------|
6. | 6 11070 2019w46 |
7. | 7 9587 2018w38 |
8. | 8 9005 2018w9 |
9. | 9 8879 2018w8 |
10. | 10 7340 2018w11 |
|------------------------------|
11. | 11 7247 2020w3 |
12. | 12 7178 2018w10 |
13. | 13 7138 2018w12 |
14. | 14 7058 2019w52 |
15. | 15 6923 2020w7 |
|------------------------------|
16. | 16 6756 2020w5 |
17. | 17 6646 2020w4 |
18. | 18 6542 2018w14 |
19. | 19 6392 2018w13 |
20. | 20 6314 2020w8 |
|------------------------------|
21. | 21 6271 2019w48 |
22. | 22 6102 2019w2 |
23. | 23 6066 2019w51 |
24. | 24 6061 2020w14 |
25. | 25 5946 2018w15 |
|------------------------------|
26. | 26 5802 2020w20 |
27. | 27 5776 2019w3 |
28. | 28 5745 2020w1 |
29. | 29 5728 2019w13 |
30. | 30 5699 2020w18 |
|------------------------------|
31. | 31 5648 2020w19 |
32. | 32 5603 2020w12 |
33. | 33 5596 2019w20 |
34. | 34 5573 2020w6 |
35. | 35 5395 2020w2 |
|------------------------------|
36. | 36 5392 2020w13 |
37. | 37 5375 2019w43 |
38. | 38 5373 2019w24 |
39. | 39 5334 2020w21 |
40. | 40 5253 2019w15 |
|------------------------------|
41. | 41 5237 2020w9 |
42. | 42 5160 2019w42 |
43. | 43 5109 2020w11 |
44. | 44 5094 2020w15 |
45. | 45 5052 2020w16 |
|------------------------------|
46. | 46 5043 2018w18 |
47. | 47 5002 2019w19 |
48. | 48 4979 2019w10 |
49. | 49 4880 2019w16 |
50. | 50 4832 2019w50 |
|------------------------------|
51. | 51 4820 2018w17 |
52. | 52 4817 2019w18 |
53. | 53 4816 2019w44 |
54. | 54 4753 2019w45 |
55. | 55 4726 2019w9 |
|------------------------------|
56. | 56 4701 2019w41 |
57. | 57 4695 2019w14 |
58. | 58 4693 2019w21 |
59. | 59 4690 2019w12 |
60. | 60 4685 2018w19 |
|------------------------------|
61. | 61 4684 2018w26 |
62. | 62 4676 2020w23 |
63. | 63 4672 2019w26 |
64. | 64 4662 2020w22 |
65. | 65 4650 2019w49 |
|------------------------------|
66. | 66 4629 2019w25 |
67. | 67 4622 2020w10 |
68. | 68 4606 2018w47 |
69. | 69 4597 2019w23 |
70. | 70 4584 2019w1 |
|------------------------------|
71. | 71 4582 2019w4 |
72. | 72 4574 2018w25 |
73. | 73 4539 2020w17 |
74. | 74 4508 2018w39 |
75. | 75 4505 2019w6 |
|------------------------------|
76. | 76 4474 2020w26 |
77. | 77 4473 2018w23 |
78. | 78 4462 2019w28 |
79. | 79 4449 2018w16 |
80. | 80 4431 2018w20 |
|------------------------------|
81. | 81 4424 2018w42 |
82. | 82 4408 2019w5 |
83. | 83 4386 2018w43 |
84. | 84 4382 2019w38 |
85. | 85 4377 2019w30 |
|------------------------------|
86. | 86 4367 2018w27 |
87. | 87 4366 2020w25 |
88. | 88 4348 2019w39 |
89. | 89 4342 2019w22 |
90. | 90 4325 2018w40 |
|------------------------------|
91. | 91 4314 2019w8 |
92. | 92 4295 2019w11 |
93. | 93 4277 2018w29 |
94. | 94 4260 2019w17 |
95. | 95 4259 2019w7 |
|------------------------------|
96. | 96 4248 2018w22 |
97. | 97 4209 2019w40 |
98. | 98 4199 2018w32 |
99. | 99 4190 2020w24 |
100. | 100 4175 2018w45 |
|------------------------------|
101. | 101 4109 2018w28 |
102. | 102 4047 2018w46 |
103. | 103 4005 2019w37 |
104. | 104 4005 2019w29 |
105. | 105 3981 2018w41 |
|------------------------------|
106. | 106 3965 2019w33 |
107. | 107 3953 2018w24 |
108. | 108 3903 2018w21 |
109. | 109 3882 2019w27 |
110. | 110 3811 2019w34 |
|------------------------------|
111. | 111 3809 2018w30 |
112. | 112 3791 2018w48 |
113. | 113 3767 2018w33 |
114. | 114 3763 2018w34 |
115. | 115 3689 2018w50 |
|------------------------------|
116. | 116 3687 2018w52 |
117. | 117 3683 2019w36 |
118. | 118 3615 2018w51 |
119. | 119 3603 2019w31 |
120. | 120 3596 2018w49 |
|------------------------------|
121. | 121 3586 2018w37 |
122. | 122 3579 2019w35 |
123. | 123 3536 2018w36 |
124. | 124 3489 2018w31 |
125. | 125 3346 2019w32 |
|------------------------------|
126. | 126 3321 2018w44 |
127. | 127 3186 2018w35 |
+------------------------------+
|
|
|
|
Medians and means of intra-day merits over days of weeks GMT timeColors: - Green: highest.
- Red: Lowest.
- In median, the highest days are Thursday , Tuesday , and Friday at 708, 705, and 702, respectively; whislt the lowest days are Saturday, Sunday, and Monday at 614, 627, and 662, respectively. - In means, the highest days are Thursday, Friday, and Tuesday at 900, 845, and 806, respectively; whilst the lowest days are Sunday, Saturday, and Monday, at 694, 704, and 778, respectively. Basic statistics:Summary for variables: merit
by categories of: dofw
dofw | N mean sd p50 p25 p75 min max
----------+--------------------------------------------------------------------------------
Sunday | 127.0 693.9 347.5 627.0 503.0 741.0 300.0 3240.0
Monday | 127.0 777.9 423.7 662.0 577.0 859.0 370.0 3343.0
Tuesday | 127.0 805.3 462.4 705.0 595.0 863.0 339.0 3826.0
Wednesday | 127.0 778.9 421.6 696.0 603.0 832.0 347.0 4103.0
Thursday | 127.0 899.7 1168.1 708.0 587.0 845.0 411.0 12676.0
Friday | 127.0 845.0 727.8 702.0 572.0 831.0 373.0 6348.0
Saturday | 127.0 703.5 451.2 614.0 509.0 741.0 375.0 4627.0
----------+--------------------------------------------------------------------------------
Total | 889.0 786.3 632.8 672.0 564.0 813.0 300.0 12676.0
-------------------------------------------------------------------------------------------
Outliers non-displayed. Since this week, I have stopped to give you box plot with outliers, and changed box colors for days of week. I hope you like the color changes.Details on ranks:In medians +----------------------------------------------------------------------+
| rankmedian dofw median mean p25 p75 min max |
|----------------------------------------------------------------------|
1. | 1 Thursday 708 899.6693 587 845 411 12676 |
2. | 2 Tuesday 705 805.2992 595 863 339 3826 |
3. | 3 Friday 702 844.9764 572 831 373 6348 |
4. | 4 Wednesday 696 778.9213 603 832 347 4103 |
5. | 5 Monday 662 777.8976 577 859 370 3343 |
|----------------------------------------------------------------------|
6. | 6 Sunday 627 693.8898 503 741 300 3240 |
7. | 7 Saturday 614 703.4724 509 741 375 4627 |
+----------------------------------------------------------------------+
In means +--------------------------------------------------------------------+
| rankmean dofw mean median p25 p75 min max |
|--------------------------------------------------------------------|
1. | 1 Thursday 899.6693 708 587 845 411 12676 |
2. | 2 Friday 844.9764 702 572 831 373 6348 |
3. | 3 Tuesday 805.2992 705 595 863 339 3826 |
4. | 4 Wednesday 778.9213 696 603 832 347 4103 |
5. | 5 Monday 777.8976 662 577 859 370 3343 |
|--------------------------------------------------------------------|
6. | 6 Saturday 703.4724 614 509 741 375 4627 |
7. | 7 Sunday 693.8898 627 503 741 300 3240 |
+--------------------------------------------------------------------+
|
|
|
|
During the period from 24/1/2018 to 23/6/2020 (last 3 days dropped due to incomplete week, 2020w27 and an incomplete day - dayid = 892), the minimum and maximum of intra-day merit are 300 and 12676, on 04/8/2019 and 25/1/2018, respectively. List of the top 50-highest day in terms of intra-day merits: +-----------------------------------------------------------------------------+
| rank_max merit dayid date dofw week month year |
|-----------------------------------------------------------------------------|
1. | 1 12676 2 25jan2018 Thursday 2018w4 2018m1 2018 |
2. | 2 6348 3 26jan2018 Friday 2018w4 2018m1 2018 |
3. | 3 5515 668 22nov2019 Friday 2019w47 2019m11 2019 |
4. | 4 4889 667 21nov2019 Thursday 2019w47 2019m11 2019 |
5. | 5 4627 4 27jan2018 Saturday 2018w4 2018m1 2018 |
|-----------------------------------------------------------------------------|
6. | 6 4103 8 31jan2018 Wednesday 2018w5 2018m1 2018 |
7. | 7 3826 665 19nov2019 Tuesday 2019w47 2019m11 2019 |
8. | 8 3804 7 30jan2018 Tuesday 2018w5 2018m1 2018 |
9. | 9 3343 6 29jan2018 Monday 2018w5 2018m1 2018 |
10. | 10 3240 5 28jan2018 Sunday 2018w4 2018m1 2018 |
|-----------------------------------------------------------------------------|
11. | 11 2797 23 15feb2018 Thursday 2018w7 2018m2 2018 |
12. | 12 2793 9 01feb2018 Thursday 2018w5 2018m2 2018 |
13. | 13 2783 664 18nov2019 Monday 2019w46 2019m11 2019 |
14. | 14 2621 10 02feb2018 Friday 2018w5 2018m2 2018 |
15. | 15 2584 666 20nov2019 Wednesday 2019w47 2019m11 2019 |
|-----------------------------------------------------------------------------|
16. | 16 2553 237 17sep2018 Monday 2018w38 2018m9 2018 |
17. | 17 2476 11 03feb2018 Saturday 2018w5 2018m2 2018 |
18. | 18 2374 661 15nov2019 Friday 2019w46 2019m11 2019 |
19. | 19 2367 15 07feb2018 Wednesday 2018w6 2018m2 2018 |
20. | 20 2263 13 05feb2018 Monday 2018w6 2018m2 2018 |
|-----------------------------------------------------------------------------|
21. | 21 2223 17 09feb2018 Friday 2018w6 2018m2 2018 |
22. | 22 2059 16 08feb2018 Thursday 2018w6 2018m2 2018 |
23. | 23 2003 14 06feb2018 Tuesday 2018w6 2018m2 2018 |
24. | 24 1807 238 18sep2018 Tuesday 2018w38 2018m9 2018 |
25. | 25 1793 19 11feb2018 Sunday 2018w6 2018m2 2018 |
|-----------------------------------------------------------------------------|
26. | 26 1790 12 04feb2018 Sunday 2018w5 2018m2 2018 |
27. | 27 1740 24 16feb2018 Friday 2018w7 2018m2 2018 |
28. | 28 1727 39 03mar2018 Saturday 2018w9 2018m3 2018 |
29. | 29 1630 660 14nov2019 Thursday 2019w46 2019m11 2019 |
30. | 30 1590 669 23nov2019 Saturday 2019w47 2019m11 2019 |
|-----------------------------------------------------------------------------|
31. | 31 1589 26 18feb2018 Sunday 2018w7 2018m2 2018 |
32. | 32 1585 662 16nov2019 Saturday 2019w46 2019m11 2019 |
33. | 33 1580 22 14feb2018 Wednesday 2018w7 2018m2 2018 |
34. | 34 1475 20 12feb2018 Monday 2018w7 2018m2 2018 |
35. | 35 1465 678 02dec2019 Monday 2019w48 2019m12 2019 |
|-----------------------------------------------------------------------------|
36. | 36 1442 28 20feb2018 Tuesday 2018w8 2018m2 2018 |
37. | 37 1431 25 17feb2018 Saturday 2018w7 2018m2 2018 |
38. | 38 1414 35 27feb2018 Tuesday 2018w9 2018m2 2018 |
39. | 39 1390 57 21mar2018 Wednesday 2018w12 2018m3 2018 |
40. | 40 1377 663 17nov2019 Sunday 2019w46 2019m11 2019 |
|-----------------------------------------------------------------------------|
41. | 41 1372 33 25feb2018 Sunday 2018w8 2018m2 2018 |
42. | 42 1364 755 17feb2020 Monday 2020w7 2020m2 2020 |
43. | 43 1347 239 19sep2018 Wednesday 2018w38 2018m9 2018 |
44. | 44 1345 38 02mar2018 Friday 2018w9 2018m3 2018 |
45. | 45 1334 18 10feb2018 Saturday 2018w6 2018m2 2018 |
|-----------------------------------------------------------------------------|
46. | 46 1316 49 13mar2018 Tuesday 2018w11 2018m3 2018 |
47. | 47 1302 36 28feb2018 Wednesday 2018w9 2018m2 2018 |
48. | 48 1289 21 13feb2018 Tuesday 2018w7 2018m2 2018 |
49. | 49 1289 27 19feb2018 Monday 2018w8 2018m2 2018 |
50. | 50 1277 30 22feb2018 Thursday 2018w8 2018m2 2018 |
+-----------------------------------------------------------------------------+
List of the top 50-lowest days in terms of intra-day merits: +-----------------------------------------------------------------------------+
| rank_min merit dayid date dofw week month year |
|-----------------------------------------------------------------------------|
1. | 1 300 558 04aug2019 Sunday 2019w31 2019m8 2019 |
2. | 2 333 341 30dec2018 Sunday 2018w52 2018m12 2018 |
3. | 3 339 343 01jan2019 Tuesday 2019w1 2019m1 2019 |
4. | 4 347 299 18nov2018 Sunday 2018w46 2018m11 2018 |
5. | 5 347 330 19dec2018 Wednesday 2018w51 2018m12 2018 |
|-----------------------------------------------------------------------------|
6. | 6 351 334 23dec2018 Sunday 2018w51 2018m12 2018 |
7. | 7 366 218 29aug2018 Wednesday 2018w35 2018m8 2018 |
8. | 8 367 565 11aug2019 Sunday 2019w32 2019m8 2019 |
9. | 9 370 223 03sep2018 Monday 2018w36 2018m9 2018 |
10. | 10 373 339 28dec2018 Friday 2018w52 2018m12 2018 |
|-----------------------------------------------------------------------------|
11. | 11 375 340 29dec2018 Saturday 2018w52 2018m12 2018 |
12. | 12 377 600 15sep2019 Sunday 2019w37 2019m9 2019 |
13. | 13 378 566 12aug2019 Monday 2019w32 2019m8 2019 |
14. | 14 378 305 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. | 18 385 215 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. | 22 395 872 13jun2020 Saturday 2020w24 2020m6 2020 |
23. | 23 399 593 08sep2019 Sunday 2019w36 2019m9 2019 |
24. | 24 401 557 03aug2019 Saturday 2019w31 2019m8 2019 |
25. | 25 401 288 07nov2018 Wednesday 2018w45 2018m11 2018 |
|-----------------------------------------------------------------------------|
26. | 26 402 263 13oct2018 Saturday 2018w41 2018m10 2018 |
27. | 27 404 229 09sep2018 Sunday 2018w36 2018m9 2018 |
28. | 28 406 277 27oct2018 Saturday 2018w43 2018m10 2018 |
29. | 29 408 530 07jul2019 Sunday 2019w27 2019m7 2019 |
30. | 30 409 589 04sep2019 Wednesday 2019w36 2019m9 2019 |
|-----------------------------------------------------------------------------|
31. | 31 409 123 26may2018 Saturday 2018w21 2018m5 2018 |
32. | 32 410 279 29oct2018 Monday 2018w44 2018m10 2018 |
33. | 33 411 569 15aug2019 Thursday 2019w33 2019m8 2019 |
34. | 34 411 578 24aug2019 Saturday 2019w34 2019m8 2019 |
35. | 35 414 528 05jul2019 Friday 2019w27 2019m7 2019 |
|-----------------------------------------------------------------------------|
36. | 36 421 193 04aug2018 Saturday 2018w31 2018m8 2018 |
37. | 37 425 588 03sep2019 Tuesday 2019w36 2019m9 2019 |
38. | 38 426 230 10sep2018 Monday 2018w37 2018m9 2018 |
39. | 39 426 346 04jan2019 Friday 2019w1 2019m1 2019 |
40. | 40 427 141 13jun2018 Wednesday 2018w24 2018m6 2018 |
|-----------------------------------------------------------------------------|
41. | 41 430 207 18aug2018 Saturday 2018w33 2018m8 2018 |
42. | 42 432 587 02sep2019 Monday 2019w35 2019m9 2019 |
43. | 43 435 522 29jun2019 Saturday 2019w26 2019m6 2019 |
44. | 44 436 419 18mar2019 Monday 2019w11 2019m3 2019 |
45. | 45 439 880 21jun2020 Sunday 2020w25 2020m6 2020 |
|-----------------------------------------------------------------------------|
46. | 46 440 585 31aug2019 Saturday 2019w35 2019m8 2019 |
47. | 47 440 265 15oct2018 Monday 2018w42 2018m10 2018 |
48. | 48 440 559 05aug2019 Monday 2019w31 2019m8 2019 |
49. | 49 441 404 03mar2019 Sunday 2019w9 2019m3 2019 |
50. | 50 441 319 08dec2018 Saturday 2018w49 2018m12 2018 |
+-----------------------------------------------------------------------------+
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