Update 2020w6, 14feb2020 02:37:50 (GMT time)* last 3 days belong to 2020w7.For all users:- Number of users who only earned at least 1 merit: 18529
- Number of users who only sent at least 1 merit: 7378
- Number of users who earned AND sent at least 1 merit: 14346
- Number of users who earned OR sent at least 1 merit: 40253
- Total Autobanned users: 141560
- Total Nuked users: 62769
- Total legit users: 11846
- Total earned merits (for all): 520267
- Total sent merits (for all): 555171
For legit users only:- Total legit users: 11811
- Total earned merits: 485193
- Total sent merits: 527302
A summary table (for legit users only) | | | | | Earned merits | | | | | | Sent merits | | | Groups | | | Freq. | Percent | Total earned | Percent | | | Freq. | Percent | Total sent | Percent | __________________ | | | ___________ | _________ | _____________ | _______ | | | ___________ | _________ | _____________ | _______ | 1-10 | | | 7397 | 62.4 | 34402 | 7.1 | | | 8439 | 71.2 | 29800 | 5.7 | 11-100 | | | 3574 | 30.2 | 105389 | 21.7 | | | 2697 | 22.8 | 91441 | 17.3 | 101-250 | | | 481 | 4.1 | 73556 | 15.2 | | | 446 | 3.8 | 70363 | 13.3 | 251-500 | | | 192 | 1.6 | 65001 | 13.4 | | | 143 | 1.2 | 50433 | 9.6 | 501-1000 | | | 130 | 1.1 | 89918 | 18.5 | | | 52 | 0.4 | 36861 | 7.0 | 1001+ | | | 72 | 0.6 | 116927 | 24.1 | | | 69 | 0.6 | 248404 | 47.1 | Total | | | 11846 | 100 | 485193 | 100 | | | 11846 | 100 | 527302 | 100 | __________________ | | | ___________ | _________ | _____________ | _______ | | | ___________ | _________ | _____________ | _______ |
Bar charts:Note:- Data on autobanned/ nuked users began at January 04, 2019, 08:03:06 AM *Counted at the start of this topic
Merit status (for all) | Frequency | Percent | _________________________ | ______________ | ______________ | Sent only | 7378 | 18.3 | Earned only | 18529 | 46.0 | Both | 14346 | 35.7 | Total | 40253 | 100 | _________________________ | ______________ | ______________ | Account status (for legit only) | | | _________________________ | ______________ | ______________ | Legit | 11846 | 82.6 | Autobanned | 2484 | 17.3 | Nuked | 16 | 0.1 | Total | 14346 | 100 | _________________________ | ______________ | ______________ |
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Update 2020w5, 07feb2020 02:47:27 (GMT time)* last 3 days belong to 2020w6.For all users:- Number of users who only earned at least 1 merit: 18477
- Number of users who only sent at least 1 merit: 7378
- Number of users who earned AND sent at least 1 merit: 14310
- Number of users who earned OR sent at least 1 merit: 40165
- Total Autobanned users: 141530
- Total Nuked users: 62597
- Total legit users: 11811
- Total earned merits (for all): 514905
- Total sent merits (for all): 549692
For legit users only:- Total legit users: 11811
- Total earned merits: 479841
- Total sent merits: 521826
A summary table (for legit users only) | | | | | Earned merits | | | | | | Sent merits | | | Groups | | | Freq. | Percent | Total earned | Percent | | | Freq. | Percent | Total sent | Percent | __________________ | | | ___________ | _________ | _____________ | _______ | | | ___________ | _________ | _____________ | _______ | 1-10 | | | 7388 | 62.6 | 34392 | 7.2 | | | 8410 | 71.2 | 29659 | 5.7 | 11-100 | | | 3555 | 30.1 | 104983 | 21.9 | | | 2703 | 22.9 | 91951 | 17.6 | 101-250 | | | 489 | 4.1 | 75858 | 15.8 | | | 436 | 3.7 | 69165 | 13.3 | 251-500 | | | 177 | 1.5 | 60417 | 12.6 | | | 143 | 1.2 | 50310 | 9.6 | 501-1000 | | | 132 | 1.1 | 90474 | 18.9 | | | 52 | 0.4 | 37290 | 7.1 | 1001+ | | | 70 | 0.6 | 113717 | 23.7 | | | 67 | 0.6 | 243451 | 46.7 | Total | | | 11811 | 100 | 479841 | 100 | | | 11811 | 100 | 521826 | 100 | __________________ | | | ___________ | _________ | _____________ | _______ | | | ___________ | _________ | _____________ | _______ |
Bar charts:Note:- Data on autobanned/ nuked users began at January 04, 2019, 08:03:06 AM *Counted at the start of this topic
Merit status (for all) | Frequency | Percent | _________________________ | ______________ | ______________ | Sent only | 7382 | 18.4 | Earned only | 18394 | 45.9 | Both | 14269 | 35.6 | Total | 40045 | 100 | _________________________ | ______________ | ______________ | Account status (for legit only) | | | _________________________ | ______________ | ______________ | Legit | 11811 | 82.5 | Autobanned | 2483 | 17.4 | Nuked | 16 | 0.1 | Total | 14310 | 100 | _________________________ | ______________ | ______________ |
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Update 2020w4, 31jan2020 02:51:21 (GMT time)* last 3 days belong to 2020w5.For all users:- Number of users who only earned at least 1 merit: 18394
- Number of users who only sent at least 1 merit: 7382
- Number of users who earned AND sent at least 1 merit: 14269
- Number of users who earned OR sent at least 1 merit: 40045
- Total Autobanned users: 141507
- Total Nuked users: 62365
- Total legit users: 11772
- Total earned merits (for all): 508712
- Total sent merits (for all): 543265
For legit users only:- Total legit users: 11772
- Total earned merits: 473765
- Total sent merits: 515444
A summary table (for legit users only) | | | | | Earned merits | | | | | | Sent merits | | | Groups | | | Freq. | Percent | Total earned | Percent | | | Freq. | Percent | Total sent | Percent | __________________ | | | ___________ | _________ | _____________ | _______ | | | ___________ | _________ | _____________ | _______ | 1-10 | | | 7375 | 62.7 | 34298 | 7.2 | | | 8391 | 71.3 | 29606 | 5.7 | 11-100 | | | 3536 | 30 | 104504 | 22.1 | | | 2685 | 22.8 | 91177 | 17.7 | 101-250 | | | 487 | 4.1 | 75235 | 15.9 | | | 435 | 3.7 | 68485 | 13.3 | 251-500 | | | 182 | 1.6 | 63253 | 13.4 | | | 142 | 1.2 | 49416 | 9.6 | 501-1000 | | | 124 | 1.1 | 85971 | 18.1 | | | 55 | 0.5 | 39807 | 7.7 | 1001+ | | | 68 | 0.6 | 110504 | 23.3 | | | 64 | 0.5 | 236953 | 46.0 | Total | | | 11772 | 100 | 473765 | 100 | | | 11772 | 100 | 515444 | 100 | __________________ | | | ___________ | _________ | _____________ | _______ | | | ___________ | _________ | _____________ | _______ |
Bar charts:Note:- Data on autobanned/ nuked users began at January 04, 2019, 08:03:06 AM *Counted at the start of this topic
Merit status (for all) | Frequency | Percent | _________________________ | ______________ | ______________ | Sent only | 7382 | 18.4 | Earned only | 18394 | 45.9 | Both | 14269 | 35.6 | Total | 40045 | 100 | _________________________ | ______________ | ______________ | Account status (for legit only) | | | _________________________ | ______________ | ______________ | Legit | 11772 | 82.5 | Autobanned | 2481 | 17.4 | Nuked | 16 | 0.1 | Total | 14269 | 100 | _________________________ | ______________ | ______________ |
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Update 2020w3, 24jan2020 01:49:34 (GMT time)* last 3 days belong to 2020w4.For all users:- Number of users who only earned at least 1 merit: 18336
- Number of users who only sent at least 1 merit: 7383
- Number of users who earned AND sent at least 1 merit: 14233
- Number of users who earned OR sent at least 1 merit: 39952
- Total Autobanned users: 141499
- Total Nuked users: 62287
- Total legit users: 11738
- Total earned merits (for all): 502133
- Total sent merits (for all): 536373
For legit users only:- Total legit users: 11738
- Total earned merits: 467202
- Total sent merits: 508554
A summary table (for legit users only) | | | | | Earned merits | | | | | | Sent merits | | | Groups | | | Freq. | Percent | Total earned | Percent | | | Freq. | Percent | Total sent | Percent | __________________ | | | ___________ | _________ | _____________ | _______ | | | ___________ | _________ | _____________ | _______ | 1-10 | | | 7366 | 62.8 | 34187 | 7.3 | | | 8377 | 71.4 | 29542 | 5.8 | 11-100 | | | 3520 | 30 | 104160 | 22.3 | | | 2669 | 22.7 | 90437 | 17.8 | 101-250 | | | 482 | 4.1 | 74239 | 15.9 | | | 433 | 3.7 | 67865 | 13.3 | 251-500 | | | 180 | 1.5 | 62317 | 13.3 | | | 140 | 1.2 | 48312 | 9.5 | 501-1000 | | | 122 | 1 | 83603 | 17.9 | | | 55 | 0.5 | 39233 | 7.7 | 1001+ | | | 68 | 0.6 | 108696 | 23.3 | | | 64 | 0.6 | 233165 | 45.8 | Total | | | 11738 | 100 | 467202 | 100 | | | 11738 | 100 | 508554 | 100 | __________________ | | | ___________ | _________ | _____________ | _______ | | | ___________ | _________ | _____________ | _______ |
Bar charts:Note:- Data on autobanned/ nuked users began at January 04, 2019, 08:03:06 AM *Counted at the start of this topic
Merit status (for all) | Frequency | Percent | _________________________ | ______________ | ______________ | Sent only | 7383 | 18.5 | Earned only | 18336 | 45.9 | Both | 14233 | 35.6 | Total | 39952 | 100 | _________________________ | ______________ | ______________ | Account status (for legit only) | | | _________________________ | ______________ | ______________ | Legit | 11738 | 82.5 | Autobanned | 2480 | 17.4 | Nuked | 15 | 0.1 | Total | 14233 | 100 | _________________________ | ______________ | ______________ |
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Time passes so fast. As a blink of eyes, 10 weeks passed and as consequences of Covid-19 and the shitty period, I missed updates for the past 10 weeks. I come back this week with update but I have to re-read dofiles and go through what I did 10 weeks ago (that is why I always try to keep my updates work weekly). Almost forgot what I did, so it takes time to make updates. I planned to make a quarterly summary besides weekly updates. Stay tuned, guys. ![Cheesy](https://bitcointalk.org/Smileys/default/cheesy.gif)
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Not only English premier league authority is concerning about "covit-19" but also worldwide sports organizers are facing this pandemic issue. Its quite hard to make any prediction about corona virus. After publishing recent " The Washington Post" report about Atalanta VS Valencia that this champion league match worked as a biological bomb which creates the massive corona outbreak in Italy. No. That match should be called as a biological bomb that triggers outbreaks of Covid-19 from Italy to Spain, then spreading around the Europe. Italy, itself, had the epidemic before that match already. I don't think worldwide sports authorities will take quick decision to continue their leagues or any matches sooner until WHO (World Health Organization) declare anything positive about centuries biggest pandemic ever. Although situation of "Covit-19" is getting worse day by day. WHO emphasized that the world has still had a second window to beat the pandemic, the first one was missed already by hesitation of the European nations and the USA. Now, we started to see more serious actions from many governments and that can help the world to beat the pandemic. The fight will last for months, at least the next quarter but if the world can fight against it together, we can beat the pandemic, with less expensive costs. If these epidemics in Italy and Spain show good signals next one month, those nations will be two new lessons for the rest of the world. After China, and somewhat South Korea, we know nations can beat the virus, with serious actions for effective containments.
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UpdateCLUB OF ABOVE 2000 MERITS-EARNED Notes: - Hero: Hero Member Source:http://loyce.club/Merit/tranthidung/clubofabove1000.2020-03-29_Sun_11.27h.txt
Hi @LoyceV, Details for the Trust column are missing. Are there something wrong with your automatic updates, this week? Please check, thank you. Note: Below posts are reserved ones. I am going to update them all with full details (includes additional details on Trust) with help from LoyceV.Solved and edited.
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Notes: - nsenders: Sum of merit senders.
- ntransactions: Sum of merit transactions one user received his/her merits.
- nposts: Sum of posts one user received his/her merits.
+------------------------------------------------------------------------------------------------------------------------------+ | rank_median username userid median mean p25 p75 min max nsenders ntransactions nposts | |------------------------------------------------------------------------------------------------------------------------------| 1. | 76 satoshi 3 4.5 19.05 1 20 0 482 253 350 62 | 2. | 5 theymos 35 26.5 58.26 11 63 2 1328 933 2521 500 | 3. | 18 gmaxwell 11425 11.5 20.97 3 26 0 162 152 759 293 | 4. | 31 qwk 24140 9 13.26 3 19 0 88 212 819 496 | 5. | 43 Vod 30747 8 12.96 3 14 0 158 287 717 393 | |------------------------------------------------------------------------------------------------------------------------------| 6. | 86 SaltySpitoon 38894 3 8.81 0 12 0 94 100 358 208 | 7. | 65 infofront 41175 6 8.35 2 12 0 74 136 680 411 | 8. | 41 jojo69 49008 8 11.11 4 13 0 102 148 890 615 | 9. | 80 Foxpup 55384 4 8.11 1 9 0 88 146 401 212 | 10. | 45 Carlton Banks 64205 8 10.66 3 14 0 76 153 674 414 | |------------------------------------------------------------------------------------------------------------------------------| 11. | 33 philipma1957 64507 9 10.63 5 16 0 38 184 653 519 | 12. | 87 Welsh 84521 3 7.99 1 9 0 103 172 464 239 | 13. | 91 TMAN 98986 2 11.42 0 11 0 275 214 603 365 | 14. | 73 Lauda 101872 5 12.85 2 14 0 238 218 667 449 | 15. | 16 xhomerx10 120694 12 16.35 6 20 0 121 209 1055 604 | |------------------------------------------------------------------------------------------------------------------------------| 16. | 88 wwzsocki 131333 3 8.37 0 11 0 70 150 578 304 | 17. | 49 yogg 140827 7 11.99 1 14 0 91 132 542 264 | 18. | 93 TheNewAnon135246 153656 2 7.83 0 6 0 133 136 310 169 | 19. | 22 gentlemand 155345 10 12.31 5 18 1 74 267 968 735 | 20. | 62 stompix 164749 6 8.24 3 10 0 62 205 556 414 | |------------------------------------------------------------------------------------------------------------------------------| 21. | 57 mindrust 176777 7 8.41 2 11 0 55 193 696 474 | 22. | 13 HairyMaclairy 181806 13 14.17 7 18 0 56 155 1274 896 | 23. | 77 Piggy 188198 4.5 10.15 0 15 0 85 190 447 146 | 24. | 3 suchmoon 234771 30 34.25 17 46 0 148 384 2241 1392 | 25. | 72 Toxic2040 239406 5 9.37 0 14 0 94 116 726 512 | |------------------------------------------------------------------------------------------------------------------------------| 26. | 19 JayJuanGee 252510 11.5 13.13 5 18 0 43 196 1159 940 | 27. | 10 achow101 290195 15 19.11 8 26 1 77 166 1110 457 | 28. | 11 nutildah 317618 14 16.98 1 26 0 81 263 1072 682 | 29. | 53 minerjones 346731 7 9.56 1 14 0 67 107 411 271 | 30. | 69 yahoo62278 355846 5 11.48 2 13 0 130 360 736 291 | |------------------------------------------------------------------------------------------------------------------------------| 31. | 27 ETFbitcoin 359716 10 11.27 4 16 0 50 206 751 515 | 32. | 21 pooya87 379147 10 13.31 5 19 0 48 224 998 656 | 33. | 12 LFC_Bitcoin 379487 13 16.94 6 24 0 73 219 1438 992 | 34. | 17 hilariousetc 397737 11.5 16.55 3 23 0 90 201 875 529 | 35. | 50 mocacino 405464 7 10.24 4 14 0 48 169 659 359 | |------------------------------------------------------------------------------------------------------------------------------| 36. | 1 LoyceV 459836 41.5 44.2 23 59 2 115 570 2722 1269 | 37. | 78 actmyame 465017 4.5 7.89 1 12 0 66 168 461 310 | 38. | 7 Last of the V8s 479624 22 22.89 11 32 0 64 227 1833 1256 | 39. | 96 Kalemder 487377 1 8.88 0 6 0 161 130 523 225 | 40. | 8 The Pharmacist 487418 16 21.6 10 30 0 93 309 1308 921 | |------------------------------------------------------------------------------------------------------------------------------| 41. | 71 LeGaulois 507856 5 7.82 2 10 0 64 201 487 300 | 42. | 51 DarkStar_ 507936 7 11.33 2 15 0 78 280 716 383 | 43. | 25 TryNinja 557798 10 12.31 5 16 0 40 257 903 658 | 44. | 32 BobLawblaw 569455 9 11.16 5 15 0 55 140 971 605 | 45. | 58 bob123 579628 7 12.36 2 19 0 68 163 851 526 | |------------------------------------------------------------------------------------------------------------------------------| 46. | 94 eddie13 580327 1.5 8.49 0 11 0 122 147 454 269 | 47. | 44 Jet Cash 698159 8 12.25 3 17 0 65 269 816 553 | 48. | 28 marlboroza 787736 9 12.24 3 14 0 79 203 642 400 | 49. | 66 Lafu 805820 6 8.04 2 11 0 41 150 610 356 | 50. | 15 HCP 867786 12 15.61 5 21 0 69 216 1034 659 | |------------------------------------------------------------------------------------------------------------------------------| 51. | 70 Coding Enthusiast 879277 5 10.53 0 14 0 116 105 514 169 | 52. | 60 Hhampuz 881377 6.5 14.69 3 18 0 92 301 768 340 | 53. | 52 mjglqw 886521 7 8.74 3 12 0 52 246 694 462 | 54. | 56 xtraelv 897509 7 13.47 2 19 0 104 218 706 325 | 55. | 97 nullius 976210 0 12.69 0 4 0 180 209 654 264 | |------------------------------------------------------------------------------------------------------------------------------| 56. | 42 krogothmanhattan 1000199 8 12.89 3 17 0 77 221 654 275 | 57. | 83 aundroid 1015954 4 8.99 0 11 0 64 104 631 360 | 58. | 92 Blacknavy 1018510 2 7.86 0 7 0 121 148 481 235 | 59. | 40 Goran_ 1039323 8 9.23 3 13 0 36 117 722 562 | 60. | 37 roycilik 1051955 8.5 11.91 3 18 0 48 146 755 300 | |------------------------------------------------------------------------------------------------------------------------------| 61. | 82 CryptopreneurBrainboss 1052091 4 9.44 0 14 0 81 202 590 299 | 62. | 59 hugeblack 1059082 6.5 9.8 2 14 0 62 211 734 438 | 63. | 4 micgoossens 1067333 28 29.89 17 40 0 100 307 2198 1406 | 64. | 67 Xal0lex 1068464 6 9.35 2 12 0 116 122 557 315 | 65. | 90 PHI16168 1071136 3 8.61 0 9 0 85 114 369 159 | |------------------------------------------------------------------------------------------------------------------------------| 66. | 75 igor72 1094195 5 7.96 0 13 0 29 82 470 320 | 67. | 29 Steamtyme 1112531 9 13.68 3 19 0 115 184 704 395 | 68. | 14 VB1001 1138727 12.5 15.32 0 25 0 98 184 1311 786 | 69. | 61 BitCryptex 1169179 6 11.04 3 15 0 126 145 615 308 | 70. | 38 Veleor 1177936 8 12.06 0 18 0 90 161 716 405 | |------------------------------------------------------------------------------------------------------------------------------| 71. | 95 theyoungmillionaire 1180530 1 8.88 0 12 0 104 151 368 117 | 72. | 2 o_e_l_e_o 1188543 32 33.62 16 46 0 101 381 2107 1311 | 73. | 68 nc50lc 1237156 6 9.5 1 12 0 68 157 631 340 | 74. | 46 joniboni 1275282 7.5 11.54 4 17 0 54 185 738 435 | 75. | 100 masulum 1283017 0 8.83 0 14 0 61 129 569 208 | |------------------------------------------------------------------------------------------------------------------------------| 76. | 20 iasenko 1291828 11 15.65 5 26 0 52 288 931 413 | 77. | 79 tranthidung 1292764 4 11.05 1 14 0 98 222 711 306 | 78. | 85 pandukelana2712 1304130 3.5 8.52 0 10 0 94 155 533 216 | 79. | 47 tvplus006 1311641 7 10.02 0 18 0 42 229 770 262 | 80. | 55 coinlocket$ 1339716 7 10.56 2 13 0 98 188 586 320 | |------------------------------------------------------------------------------------------------------------------------------| 81. | 74 mole0815 1424178 5 9.83 2 13 0 73 111 751 525 | 82. | 63 witcher_sense 1433865 6 11.33 0 19 0 76 133 811 343 | 83. | 30 bitmover 1554927 9 11.43 4 16 0 48 249 831 473 | 84. | 36 mu_enrico 1574226 8.5 11.14 2 16 0 78 120 700 339 | 85. | 64 asche 1580039 6 8.86 1 12 0 50 126 635 398 | |------------------------------------------------------------------------------------------------------------------------------| 86. | 6 DdmrDdmr 1582324 26 31.64 16 43 0 106 368 1881 995 | 87. | 81 Alex_Sr 1762404 4 8.19 0 12 0 103 110 535 341 | 88. | 39 morvillz7z 1825672 8 10.75 1 17 0 58 150 623 299 | 89. | 34 Husna QA 1827294 9 11.41 3 16 0 62 130 704 330 | 90. | 23 fillippone 1852120 10 24.26 0 37 0 141 270 1553 752 | |------------------------------------------------------------------------------------------------------------------------------| 91. | 35 taikuri13 1855828 9 10.65 4 17 0 36 117 736 502 | 92. | 24 abhiseshakana 1878246 10 14.96 3 22 0 73 117 913 472 | 93. | 89 madnessteat 1894120 3 8.6 0 15 0 54 118 574 276 | 94. | 48 Coolcryptovator 1980983 7 10.26 2 14 0 64 259 736 342 | 95. | 84 lovesmayfamilis 1982152 3.5 10.05 0 17 0 45 109 828 345 | |------------------------------------------------------------------------------------------------------------------------------| 96. | 54 DireWolfM14 2003859 7 13.12 1 18 0 84 197 743 424 | 97. | 99 Corrosive 2005913 0 8.48 0 5 0 172 92 248 69 | 98. | 9 mikeywith 2033515 16 18.68 0 30 0 92 225 1245 698 | 99. | 26 1miau 2143453 10 17.61 2 26 0 100 251 1224 559 | 100. | 98 Ratimov 2627711 0 10.02 0 10 0 93 123 635 359 | +------------------------------------------------------------------------------------------------------------------------------+
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Update 2020w13ABSTRACT- Period: 2018w4 - 2020w13 27mar2020 01:34:34 (forum time).
- Observed weeks: 113
- Incomple weeks: 2018w4, 2020w13.
- The last merit transaction is at 27mar2020 01:34:34 (forum time)
List of top 100 merit earners, sorted descendingly by sum of earned merits: +-------------------------------------------------------+ | rank_total username userid total | |-------------------------------------------------------| 1. | 1 theymos 35 6642 | 2. | 2 LoyceV 459836 5039 | 3. | 3 suchmoon 234771 3905 | 4. | 4 o_e_l_e_o 1188543 3833 | 5. | 5 DdmrDdmr 1582324 3607 | |-------------------------------------------------------| 6. | 6 micgoossens 1067333 3407 | 7. | 7 fillippone 1852120 2766 | 8. | 8 Last of the V8s 479624 2610 | 9. | 9 The Pharmacist 487418 2462 | 10. | 10 gmaxwell 11425 2391 | |-------------------------------------------------------| 11. | 11 achow101 290195 2178 | 12. | 12 satoshi 3 2172 | 13. | 13 mikeywith 2033515 2130 | 14. | 14 1miau 2143453 2007 | 15. | 15 nutildah 317618 1936 | |-------------------------------------------------------| 16. | 16 LFC_Bitcoin 379487 1931 | 17. | 17 hilariousetc 397737 1887 | 18. | 18 xhomerx10 120694 1864 | 19. | 19 iasenko 1291828 1784 | 20. | 20 HCP 867786 1780 | |-------------------------------------------------------| 21. | 21 VB1001 1138727 1746 | 22. | 22 abhiseshakana 1878246 1705 | 23. | 23 Hhampuz 881377 1675 | 24. | 24 HairyMaclairy 181806 1615 | 25. | 25 Steamtyme 1112531 1559 | |-------------------------------------------------------| 26. | 26 xtraelv 897509 1536 | 27. | 27 pooya87 379147 1517 | 28. | 28 qwk 24140 1512 | 29. | 29 JayJuanGee 252510 1497 | 30. | 30 DireWolfM14 2003859 1496 | |-------------------------------------------------------| 31. | 31 Vod 30747 1478 | 32. | 32 krogothmanhattan 1000199 1469 | 33. | 33 Lauda 101872 1465 | 34. | 34 nullius 976210 1447 | 35. | 35 bob123 579628 1409 | |-------------------------------------------------------| 36. | 36 TryNinja 557798 1403 | 37. | 37 gentlemand 155345 1403 | 38. | 38 Jet Cash 698159 1397 | 39. | 39 marlboroza 787736 1395 | 40. | 40 Veleor 1177936 1375 | |-------------------------------------------------------| 41. | 41 yogg 140827 1367 | 42. | 42 roycilik 1051955 1358 | 43. | 43 joniboni 1275282 1316 | 44. | 44 yahoo62278 355846 1309 | 45. | 45 bitmover 1554927 1303 | |-------------------------------------------------------| 46. | 46 TMAN 98986 1302 | 47. | 47 Husna QA 1827294 1301 | 48. | 48 DarkStar_ 507936 1292 | 49. | 49 witcher_sense 1433865 1292 | 50. | 50 ETFbitcoin 359716 1285 | |-------------------------------------------------------| 51. | 51 BobLawblaw 569455 1272 | 52. | 52 mu_enrico 1574226 1270 | 53. | 53 jojo69 49008 1266 | 54. | 54 tranthidung 1292764 1260 | 55. | 55 BitCryptex 1169179 1259 | |-------------------------------------------------------| 56. | 56 morvillz7z 1825672 1225 | 57. | 57 Carlton Banks 64205 1215 | 58. | 58 taikuri13 1855828 1214 | 59. | 59 philipma1957 64507 1212 | 60. | 60 coinlocket$ 1339716 1204 | |-------------------------------------------------------| 61. | 61 Coding Enthusiast 879277 1200 | 62. | 62 Coolcryptovator 1980983 1170 | 63. | 63 mocacino 405464 1167 | 64. | 64 Piggy 188198 1157 | 65. | 65 lovesmayfamilis 1982152 1146 | |-------------------------------------------------------| 66. | 66 Ratimov 2627711 1142 | 67. | 67 tvplus006 1311641 1142 | 68. | 68 mole0815 1424178 1121 | 69. | 69 hugeblack 1059082 1117 | 70. | 70 minerjones 346731 1090 | |-------------------------------------------------------| 71. | 71 nc50lc 1237156 1083 | 72. | 72 CryptopreneurBrainboss 1052091 1076 | 73. | 73 Toxic2040 239406 1068 | 74. | 74 Xal0lex 1068464 1066 | 75. | 75 Goran_ 1039323 1052 | |-------------------------------------------------------| 76. | 76 aundroid 1015954 1025 | 77. | 77 theyoungmillionaire 1180530 1012 | 78. | 78 Kalemder 487377 1012 | 79. | 79 asche 1580039 1010 | 80. | 80 masulum 1283017 1007 | |-------------------------------------------------------| 81. | 81 SaltySpitoon 38894 1004 | 82. | 82 mjglqw 886521 996 | 83. | 83 PHI16168 1071136 981 | 84. | 84 madnessteat 1894120 980 | 85. | 85 pandukelana2712 1304130 971 | |-------------------------------------------------------| 86. | 86 eddie13 580327 968 | 87. | 87 Corrosive 2005913 967 | 88. | 88 mindrust 176777 959 | 89. | 89 wwzsocki 131333 954 | 90. | 90 infofront 41175 952 | |-------------------------------------------------------| 91. | 91 stompix 164749 939 | 92. | 92 Alex_Sr 1762404 934 | 93. | 93 Foxpup 55384 925 | 94. | 94 Lafu 805820 917 | 95. | 95 Welsh 84521 911 | |-------------------------------------------------------| 96. | 96 igor72 1094195 907 | 97. | 97 actmyame 465017 900 | 98. | 98 Blacknavy 1018510 896 | 99. | 99 TheNewAnon135246 153656 893 | 100. | 100 LeGaulois 507856 891 | +-------------------------------------------------------+
List of top 100 merit earners, sorted descendingly by median of weekly earned merits: +------------------------------------------------------------------------------------------+ | rank_median username userid median mean p25 p75 min max | |------------------------------------------------------------------------------------------| 1. | 1 LoyceV 459836 41.5 44.2 23 59 2 115 | 2. | 2 o_e_l_e_o 1188543 32 33.62 16 46 0 101 | 3. | 3 suchmoon 234771 30 34.25 17 46 0 148 | 4. | 4 micgoossens 1067333 28 29.89 17 40 0 100 | 5. | 5 theymos 35 26.5 58.26 11 63 2 1328 | |------------------------------------------------------------------------------------------| 6. | 6 DdmrDdmr 1582324 26 31.64 16 43 0 106 | 7. | 7 Last of the V8s 479624 22 22.89 11 32 0 64 | 8. | 8 The Pharmacist 487418 16 21.6 10 30 0 93 | 9. | 9 mikeywith 2033515 16 18.68 0 30 0 92 | 10. | 10 achow101 290195 15 19.11 8 26 1 77 | |------------------------------------------------------------------------------------------| 11. | 11 nutildah 317618 14 16.98 1 26 0 81 | 12. | 12 LFC_Bitcoin 379487 13 16.94 6 24 0 73 | 13. | 13 HairyMaclairy 181806 13 14.17 7 18 0 56 | 14. | 14 VB1001 1138727 12.5 15.32 0 25 0 98 | 15. | 15 HCP 867786 12 15.61 5 21 0 69 | |------------------------------------------------------------------------------------------| 16. | 16 xhomerx10 120694 12 16.35 6 20 0 121 | 17. | 17 hilariousetc 397737 11.5 16.55 3 23 0 90 | 18. | 18 gmaxwell 11425 11.5 20.97 3 26 0 162 | 19. | 19 JayJuanGee 252510 11.5 13.13 5 18 0 43 | 20. | 20 iasenko 1291828 11 15.65 5 26 0 52 | |------------------------------------------------------------------------------------------| 21. | 21 pooya87 379147 10 13.31 5 19 0 48 | 22. | 22 gentlemand 155345 10 12.31 5 18 1 74 | 23. | 23 fillippone 1852120 10 24.26 0 37 0 141 | 24. | 24 abhiseshakana 1878246 10 14.96 3 22 0 73 | 25. | 25 TryNinja 557798 10 12.31 5 16 0 40 | |------------------------------------------------------------------------------------------| 26. | 26 1miau 2143453 10 17.61 2 26 0 100 | 27. | 27 ETFbitcoin 359716 10 11.27 4 16 0 50 | 28. | 28 marlboroza 787736 9 12.24 3 14 0 79 | 29. | 29 Steamtyme 1112531 9 13.68 3 19 0 115 | 30. | 30 bitmover 1554927 9 11.43 4 16 0 48 | |------------------------------------------------------------------------------------------| 31. | 31 qwk 24140 9 13.26 3 19 0 88 | 32. | 32 BobLawblaw 569455 9 11.16 5 15 0 55 | 33. | 33 philipma1957 64507 9 10.63 5 16 0 38 | 34. | 34 Husna QA 1827294 9 11.41 3 16 0 62 | 35. | 35 taikuri13 1855828 9 10.65 4 17 0 36 | |------------------------------------------------------------------------------------------| 36. | 36 mu_enrico 1574226 8.5 11.14 2 16 0 78 | 37. | 37 roycilik 1051955 8.5 11.91 3 18 0 48 | 38. | 38 Veleor 1177936 8 12.06 0 18 0 90 | 39. | 39 morvillz7z 1825672 8 10.75 1 17 0 58 | 40. | 40 Goran_ 1039323 8 9.23 3 13 0 36 | |------------------------------------------------------------------------------------------| 41. | 41 jojo69 49008 8 11.11 4 13 0 102 | 42. | 42 krogothmanhattan 1000199 8 12.89 3 17 0 77 | 43. | 43 Vod 30747 8 12.96 3 14 0 158 | 44. | 44 Jet Cash 698159 8 12.25 3 17 0 65 | 45. | 45 Carlton Banks 64205 8 10.66 3 14 0 76 | |------------------------------------------------------------------------------------------| 46. | 46 joniboni 1275282 7.5 11.54 4 17 0 54 | 47. | 47 tvplus006 1311641 7 10.02 0 18 0 42 | 48. | 48 Coolcryptovator 1980983 7 10.26 2 14 0 64 | 49. | 49 yogg 140827 7 11.99 1 14 0 91 | 50. | 50 mocacino 405464 7 10.24 4 14 0 48 | |------------------------------------------------------------------------------------------| 51. | 51 DarkStar_ 507936 7 11.33 2 15 0 78 | 52. | 52 mjglqw 886521 7 8.74 3 12 0 52 | 53. | 53 minerjones 346731 7 9.56 1 14 0 67 | 54. | 54 DireWolfM14 2003859 7 13.12 1 18 0 84 | 55. | 55 coinlocket$ 1339716 7 10.56 2 13 0 98 | |------------------------------------------------------------------------------------------| 56. | 56 xtraelv 897509 7 13.47 2 19 0 104 | 57. | 57 mindrust 176777 7 8.41 2 11 0 55 | 58. | 58 bob123 579628 7 12.36 2 19 0 68 | 59. | 59 hugeblack 1059082 6.5 9.8 2 14 0 62 | 60. | 60 Hhampuz 881377 6.5 14.69 3 18 0 92 | |------------------------------------------------------------------------------------------| 61. | 61 BitCryptex 1169179 6 11.04 3 15 0 126 | 62. | 62 stompix 164749 6 8.24 3 10 0 62 | 63. | 63 witcher_sense 1433865 6 11.33 0 19 0 76 | 64. | 64 asche 1580039 6 8.86 1 12 0 50 | 65. | 65 infofront 41175 6 8.35 2 12 0 74 | |------------------------------------------------------------------------------------------| 66. | 66 Lafu 805820 6 8.04 2 11 0 41 | 67. | 67 Xal0lex 1068464 6 9.35 2 12 0 116 | 68. | 68 nc50lc 1237156 6 9.5 1 12 0 68 | 69. | 69 yahoo62278 355846 5 11.48 2 13 0 130 | 70. | 70 Coding Enthusiast 879277 5 10.53 0 14 0 116 | |------------------------------------------------------------------------------------------| 71. | 71 LeGaulois 507856 5 7.82 2 10 0 64 | 72. | 72 Toxic2040 239406 5 9.37 0 14 0 94 | 73. | 73 Lauda 101872 5 12.85 2 14 0 238 | 74. | 74 mole0815 1424178 5 9.83 2 13 0 73 | 75. | 75 igor72 1094195 5 7.96 0 13 0 29 | |------------------------------------------------------------------------------------------| 76. | 76 satoshi 3 4.5 19.05 1 20 0 482 | 77. | 77 Piggy 188198 4.5 10.15 0 15 0 85 | 78. | 78 actmyame 465017 4.5 7.89 1 12 0 66 | 79. | 79 tranthidung 1292764 4 11.05 1 14 0 98 | 80. | 80 Foxpup 55384 4 8.11 1 9 0 88 | |------------------------------------------------------------------------------------------| 81. | 81 Alex_Sr 1762404 4 8.19 0 12 0 103 | 82. | 82 CryptopreneurBrainboss 1052091 4 9.44 0 14 0 81 | 83. | 83 aundroid 1015954 4 8.99 0 11 0 64 | 84. | 84 lovesmayfamilis 1982152 3.5 10.05 0 17 0 45 | 85. | 85 pandukelana2712 1304130 3.5 8.52 0 10 0 94 | |------------------------------------------------------------------------------------------| 86. | 86 SaltySpitoon 38894 3 8.81 0 12 0 94 | 87. | 87 Welsh 84521 3 7.99 1 9 0 103 | 88. | 88 wwzsocki 131333 3 8.37 0 11 0 70 | 89. | 89 madnessteat 1894120 3 8.6 0 15 0 54 | 90. | 90 PHI16168 1071136 3 8.61 0 9 0 85 | |------------------------------------------------------------------------------------------| 91. | 91 TMAN 98986 2 11.42 0 11 0 275 | 92. | 92 Blacknavy 1018510 2 7.86 0 7 0 121 | 93. | 93 TheNewAnon135246 153656 2 7.83 0 6 0 133 | 94. | 94 eddie13 580327 1.5 8.49 0 11 0 122 | 95. | 95 theyoungmillionaire 1180530 1 8.88 0 12 0 104 | |------------------------------------------------------------------------------------------| 96. | 96 Kalemder 487377 1 8.88 0 6 0 161 | 97. | 97 nullius 976210 0 12.69 0 4 0 180 | 98. | 98 Ratimov 2627711 0 10.02 0 10 0 93 | 99. | 99 Corrosive 2005913 0 8.48 0 5 0 172 | 100. | 100 masulum 1283017 0 8.83 0 14 0 61 | +------------------------------------------------------------------------------------------+
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ABSTRACT 2020w12, GMT timeData is the full dataset since 24/1/2018, and only dropped last 3 days belong to incomplete week - 2020w12 and an incomplete day (dayid = 797). Details on days dropped, please see above posts. Intra-day merits:- Total observed days: 791
- Potential outliers are days that have intraday total merits beyond 162 or 1214
- Median of intraday merits over the period is 666
- 50% of observed days have their intra-day merits range from 556 to 819 (the interquartile range)
- In medians, the highest and lowest days are Tuesday and Saturday, respectively; whilst the highest and lowest days in means are Thursday and Sunday, respectively. See here.
- There are 56 potential outliers (beyond 162 or 1214) in total.
- The distribution of outliers over years are: 41 (73.2%) for 2018, 14 (25%) for 2019, and 1 (1.8%) for 2020. (see details)
- Minimum and maximum of intraday merits (full dataset) are 300, and 12676, on 04/8/2019 and 25/1/2018, respectively.
Intra-week merits:- Total observed weeks: 113
- The median of intra-week merits is 4622
- 50% of observed weeks (113 weeks in total), have total merits in the range from 4199 to 5596 (the interquartile range of intra-week merits).
- Minimum and maximum of intra-week merits are 3186 and 27920, in 2018w35, and 2018w4, respectively;
- 9 potential outliers [beyond 2104 or 7692], only 2 of them occurred in the year 2019, on 2019w46 (11070), and 2019w47 (20397).
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Intra-week merits (from 24/1/2018 to 24/3/2020)Last 3 days dropped due to incomplete week (2020w13) and an incomplete day (dayid = 794)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 | +-----------------+
Time series plotBasic statistics:- 50% of observed weeks ( 113 weeks) have total intra-week merits above 4622, whilst the rest 50% of them have total intra-week merits below 4622. 4622 is the median - p50. - 50% of observed weeks have total intra-week merits fluctuated in the range from 4199 to 5596 (the interquartile range, from p25 to p75, in raw statistics below). - Min - max: 3186 - 27920. variable | N mean sd p50 p25 p75 min max -------------+-------------------------------------------------------------------------------- merit | 113.0 5557.8 3413.0 4622.0 4199.0 5596.0 3186.0 27920.0 ----------------------------------------------------------------------------------------------
Potential outliers:. di 5596-4199 1397
. di 1397*1.5 2095.5
. di 5596+2095.5 7691.5
. di 4199-2095.5 2103.5
It means that potential outliers are weeks that have intra-week merits beyond 2104 or 7692. How many weeks are potential outliers? . count if (merit >= 7692 | merit < 2096) & merit != . 9
9 weeks are outliers, in total. List of those 9 weeks: +-----------------+ | merit week | |-----------------| 1. | 27920 2018w4 | 2. | 20930 2018w5 | 3. | 14042 2018w6 | 4. | 11901 2018w7 | 5. | 8879 2018w8 | |-----------------| 6. | 9005 2018w9 | 35. | 9587 2018w38 | 95. | 11070 2019w46 | 96. | 20397 2019w47 | +-----------------+
Most of them occured in the year 2018, and there is only 2 outliers week occured in 2019, in 2019w46 (11070), 2019w47 ( 20397). List of weeks in descending weekly meritsThe last week (with 5603 merits) stays at the 28th position, among 113 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 5946 2018w15 | 25. | 25 5776 2019w3 | |------------------------------| 26. | 26 5745 2020w1 | 27. | 27 5728 2019w13 | 28. | 28 5603 2020w12 | 29. | 29 5596 2019w20 | 30. | 30 5573 2020w6 | |------------------------------| 31. | 31 5395 2020w2 | 32. | 32 5375 2019w43 | 33. | 33 5373 2019w24 | 34. | 34 5253 2019w15 | 35. | 35 5237 2020w9 | |------------------------------| 36. | 36 5160 2019w42 | 37. | 37 5109 2020w11 | 38. | 38 5043 2018w18 | 39. | 39 5002 2019w19 | 40. | 40 4979 2019w10 | |------------------------------| 41. | 41 4880 2019w16 | 42. | 42 4832 2019w50 | 43. | 43 4820 2018w17 | 44. | 44 4817 2019w18 | 45. | 45 4816 2019w44 | |------------------------------| 46. | 46 4753 2019w45 | 47. | 47 4726 2019w9 | 48. | 48 4701 2019w41 | 49. | 49 4695 2019w14 | 50. | 50 4693 2019w21 | |------------------------------| 51. | 51 4690 2019w12 | 52. | 52 4685 2018w19 | 53. | 53 4684 2018w26 | 54. | 54 4672 2019w26 | 55. | 55 4650 2019w49 | |------------------------------| 56. | 56 4629 2019w25 | 57. | 57 4622 2020w10 | 58. | 58 4606 2018w47 | 59. | 59 4597 2019w23 | 60. | 60 4584 2019w1 | |------------------------------| 61. | 61 4582 2019w4 | 62. | 62 4574 2018w25 | 63. | 63 4508 2018w39 | 64. | 64 4505 2019w6 | 65. | 65 4473 2018w23 | |------------------------------| 66. | 66 4462 2019w28 | 67. | 67 4449 2018w16 | 68. | 68 4431 2018w20 | 69. | 69 4424 2018w42 | 70. | 70 4408 2019w5 | |------------------------------| 71. | 71 4386 2018w43 | 72. | 72 4382 2019w38 | 73. | 73 4377 2019w30 | 74. | 74 4367 2018w27 | 75. | 75 4348 2019w39 | |------------------------------| 76. | 76 4342 2019w22 | 77. | 77 4325 2018w40 | 78. | 78 4314 2019w8 | 79. | 79 4295 2019w11 | 80. | 80 4277 2018w29 | |------------------------------| 81. | 81 4260 2019w17 | 82. | 82 4259 2019w7 | 83. | 83 4248 2018w22 | 84. | 84 4209 2019w40 | 85. | 85 4199 2018w32 | |------------------------------| 86. | 86 4175 2018w45 | 87. | 87 4109 2018w28 | 88. | 88 4047 2018w46 | 89. | 89 4005 2019w29 | 90. | 90 4005 2019w37 | |------------------------------| 91. | 91 3981 2018w41 | 92. | 92 3965 2019w33 | 93. | 93 3953 2018w24 | 94. | 94 3903 2018w21 | 95. | 95 3882 2019w27 | |------------------------------| 96. | 96 3811 2019w34 | 97. | 97 3809 2018w30 | 98. | 98 3791 2018w48 | 99. | 99 3767 2018w33 | 100. | 100 3763 2018w34 | |------------------------------| 101. | 101 3689 2018w50 | 102. | 102 3687 2018w52 | 103. | 103 3683 2019w36 | 104. | 104 3615 2018w51 | 105. | 105 3603 2019w31 | |------------------------------| 106. | 106 3596 2018w49 | 107. | 107 3586 2018w37 | 108. | 108 3579 2019w35 | 109. | 109 3536 2018w36 | 110. | 110 3489 2018w31 | |------------------------------| 111. | 111 3346 2019w32 | 112. | 112 3321 2018w44 | 113. | 113 3186 2018w35 | +------------------------------+
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Medians and means of intra-day merits over days of weeks GMT timeColors: - Green: highest.
- Red: Lowest.
- In median, the highest days are Tuesday, Thursday , and Friday at 704, 704, and 697, respectively; whislt the lowest days are Saturday, Sunday, and Monday at 601, 616, and 662, respectively. - In means, the highest days are Thursday, Friday, and Tuesday at 916, 855, and 816, respectively; whilst the lowest days are Sunday, Saturday, and Monday, at 697, 708, and 782, respectively. Basic statistics:Summary for variables: merit by categories of: dofw
dofw | N mean sd p50 p25 p75 min max ----------+-------------------------------------------------------------------------------- Sunday | 113 696.115 362.7083 616 503 747 300 3240 Monday | 113 781.8761 446.9052 662 558 859 370 3343 Tuesday | 113 815.3186 487.6358 704 594 871 339 3826 Wednesday | 113 786.3097 445.2518 667 599 836 347 4103 Thursday | 113 915.292 1236.986 704 584 824 411 12676 Friday | 113 854.823 770.1825 697 564 837 373 6348 Saturday | 113 708.0973 475.99 601 503 729 375 4627 ----------+-------------------------------------------------------------------------------- Total | 791 793.976 668.6453 666 556 819 300 12676 -------------------------------------------------------------------------------------------
Box plotsOutliers displayed as red circles. Outliers non-displayed. Details on ranks:In medians +----------------------------------------------------------------------+ | rankmedian dofw median mean p25 p75 min max | |----------------------------------------------------------------------| 1. | 1 Tuesday 704 815.3186 594 871 339 3826 | 2. | 2 Thursday 704 915.2921 584 824 411 12676 | 3. | 3 Friday 697 854.823 564 837 373 6348 | 4. | 4 Wednesday 667 786.3098 599 836 347 4103 | 5. | 5 Monday 662 781.8761 558 859 370 3343 | |----------------------------------------------------------------------| 6. | 6 Sunday 616 696.1151 503 747 300 3240 | 7. | 7 Saturday 601 708.0974 503 729 375 4627 | +----------------------------------------------------------------------+
In means +--------------------------------------------------------------------+ | rankmean dofw mean median p25 p75 min max | |--------------------------------------------------------------------| 1. | 1 Thursday 915.2921 704 584 824 411 12676 | 2. | 2 Friday 854.823 697 564 837 373 6348 | 3. | 3 Tuesday 815.3186 704 594 871 339 3826 | 4. | 4 Wednesday 786.3098 667 599 836 347 4103 | 5. | 5 Monday 781.8761 662 558 859 370 3343 | |--------------------------------------------------------------------| 6. | 6 Saturday 708.0974 601 503 729 375 4627 | 7. | 7 Sunday 696.1151 616 503 747 300 3240 | +--------------------------------------------------------------------+
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During the period from 24/1/2018 to 24/3/2020 (last 3 days dropped due to incomplete week, 2020w13 and an incomplete day - dayid = 794), the minimum and maximum of intra-day merit are 300 and 12676, on 04/8/2019 and 25/1/2018, respectively. List of the top 50-highest day in terms of intra-day merits: +-----------------------------------------------------------------------------+ | rank_max merit dayid date dofw week month year | |-----------------------------------------------------------------------------| 1. | 1 12676 2 25jan2018 Thursday 2018w4 2018m1 2018 | 2. | 2 6348 3 26jan2018 Friday 2018w4 2018m1 2018 | 3. | 3 5515 668 22nov2019 Friday 2019w47 2019m11 2019 | 4. | 4 4889 667 21nov2019 Thursday 2019w47 2019m11 2019 | 5. | 5 4627 4 27jan2018 Saturday 2018w4 2018m1 2018 | |-----------------------------------------------------------------------------| 6. | 6 4103 8 31jan2018 Wednesday 2018w5 2018m1 2018 | 7. | 7 3826 665 19nov2019 Tuesday 2019w47 2019m11 2019 | 8. | 8 3804 7 30jan2018 Tuesday 2018w5 2018m1 2018 | 9. | 9 3343 6 29jan2018 Monday 2018w5 2018m1 2018 | 10. | 10 3240 5 28jan2018 Sunday 2018w4 2018m1 2018 | |-----------------------------------------------------------------------------| 11. | 11 2797 23 15feb2018 Thursday 2018w7 2018m2 2018 | 12. | 12 2793 9 01feb2018 Thursday 2018w5 2018m2 2018 | 13. | 13 2783 664 18nov2019 Monday 2019w46 2019m11 2019 | 14. | 14 2621 10 02feb2018 Friday 2018w5 2018m2 2018 | 15. | 15 2584 666 20nov2019 Wednesday 2019w47 2019m11 2019 | |-----------------------------------------------------------------------------| 16. | 16 2553 237 17sep2018 Monday 2018w38 2018m9 2018 | 17. | 17 2476 11 03feb2018 Saturday 2018w5 2018m2 2018 | 18. | 18 2374 661 15nov2019 Friday 2019w46 2019m11 2019 | 19. | 19 2367 15 07feb2018 Wednesday 2018w6 2018m2 2018 | 20. | 20 2263 13 05feb2018 Monday 2018w6 2018m2 2018 | |-----------------------------------------------------------------------------| 21. | 21 2223 17 09feb2018 Friday 2018w6 2018m2 2018 | 22. | 22 2059 16 08feb2018 Thursday 2018w6 2018m2 2018 | 23. | 23 2003 14 06feb2018 Tuesday 2018w6 2018m2 2018 | 24. | 24 1807 238 18sep2018 Tuesday 2018w38 2018m9 2018 | 25. | 25 1793 19 11feb2018 Sunday 2018w6 2018m2 2018 | |-----------------------------------------------------------------------------| 26. | 26 1790 12 04feb2018 Sunday 2018w5 2018m2 2018 | 27. | 27 1740 24 16feb2018 Friday 2018w7 2018m2 2018 | 28. | 28 1727 39 03mar2018 Saturday 2018w9 2018m3 2018 | 29. | 29 1630 660 14nov2019 Thursday 2019w46 2019m11 2019 | 30. | 30 1590 669 23nov2019 Saturday 2019w47 2019m11 2019 | |-----------------------------------------------------------------------------| 31. | 31 1589 26 18feb2018 Sunday 2018w7 2018m2 2018 | 32. | 32 1585 662 16nov2019 Saturday 2019w46 2019m11 2019 | 33. | 33 1580 22 14feb2018 Wednesday 2018w7 2018m2 2018 | 34. | 34 1475 20 12feb2018 Monday 2018w7 2018m2 2018 | 35. | 35 1465 678 02dec2019 Monday 2019w48 2019m12 2019 | |-----------------------------------------------------------------------------| 36. | 36 1442 28 20feb2018 Tuesday 2018w8 2018m2 2018 | 37. | 37 1431 25 17feb2018 Saturday 2018w7 2018m2 2018 | 38. | 38 1414 35 27feb2018 Tuesday 2018w9 2018m2 2018 | 39. | 39 1390 57 21mar2018 Wednesday 2018w12 2018m3 2018 | 40. | 40 1377 663 17nov2019 Sunday 2019w46 2019m11 2019 | |-----------------------------------------------------------------------------| 41. | 41 1372 33 25feb2018 Sunday 2018w8 2018m2 2018 | 42. | 42 1364 755 17feb2020 Monday 2020w7 2020m2 2020 | 43. | 43 1347 239 19sep2018 Wednesday 2018w38 2018m9 2018 | 44. | 44 1345 38 02mar2018 Friday 2018w9 2018m3 2018 | 45. | 45 1334 18 10feb2018 Saturday 2018w6 2018m2 2018 | |-----------------------------------------------------------------------------| 46. | 46 1316 49 13mar2018 Tuesday 2018w11 2018m3 2018 | 47. | 47 1302 36 28feb2018 Wednesday 2018w9 2018m2 2018 | 48. | 48 1289 21 13feb2018 Tuesday 2018w7 2018m2 2018 | 49. | 49 1289 27 19feb2018 Monday 2018w8 2018m2 2018 | 50. | 50 1277 30 22feb2018 Thursday 2018w8 2018m2 2018 | +-----------------------------------------------------------------------------+
List of the top 50-lowest days in terms of intra-day merits: +-----------------------------------------------------------------------------+ | rank_min merit dayid date dofw week month year | |-----------------------------------------------------------------------------| 1. | 1 300 558 04aug2019 Sunday 2019w31 2019m8 2019 | 2. | 2 333 341 30dec2018 Sunday 2018w52 2018m12 2018 | 3. | 3 339 343 01jan2019 Tuesday 2019w1 2019m1 2019 | 4. | 4 347 299 18nov2018 Sunday 2018w46 2018m11 2018 | 5. | 5 347 330 19dec2018 Wednesday 2018w51 2018m12 2018 | |-----------------------------------------------------------------------------| 6. | 6 351 334 23dec2018 Sunday 2018w51 2018m12 2018 | 7. | 7 366 218 29aug2018 Wednesday 2018w35 2018m8 2018 | 8. | 8 367 565 11aug2019 Sunday 2019w32 2019m8 2019 | 9. | 9 370 223 03sep2018 Monday 2018w36 2018m9 2018 | 10. | 10 373 339 28dec2018 Friday 2018w52 2018m12 2018 | |-----------------------------------------------------------------------------| 11. | 11 375 340 29dec2018 Saturday 2018w52 2018m12 2018 | 12. | 12 377 600 15sep2019 Sunday 2019w37 2019m9 2019 | 13. | 13 378 566 12aug2019 Monday 2019w32 2019m8 2019 | 14. | 14 378 567 13aug2019 Tuesday 2019w33 2019m8 2019 | 15. | 15 378 305 24nov2018 Saturday 2018w47 2018m11 2018 | |-----------------------------------------------------------------------------| 16. | 16 380 192 03aug2018 Friday 2018w31 2018m8 2018 | 17. | 17 381 336 25dec2018 Tuesday 2018w52 2018m12 2018 | 18. | 18 385 327 16dec2018 Sunday 2018w50 2018m12 2018 | 19. | 19 385 215 26aug2018 Sunday 2018w34 2018m8 2018 | 20. | 20 391 221 01sep2018 Saturday 2018w35 2018m9 2018 | |-----------------------------------------------------------------------------| 21. | 21 394 188 30jul2018 Monday 2018w31 2018m7 2018 | 22. | 22 399 593 08sep2019 Sunday 2019w36 2019m9 2019 | 23. | 23 401 288 07nov2018 Wednesday 2018w45 2018m11 2018 | 24. | 24 401 557 03aug2019 Saturday 2019w31 2019m8 2019 | 25. | 25 402 263 13oct2018 Saturday 2018w41 2018m10 2018 | |-----------------------------------------------------------------------------| 26. | 26 404 229 09sep2018 Sunday 2018w36 2018m9 2018 | 27. | 27 406 277 27oct2018 Saturday 2018w43 2018m10 2018 | 28. | 28 408 530 07jul2019 Sunday 2019w27 2019m7 2019 | 29. | 29 409 123 26may2018 Saturday 2018w21 2018m5 2018 | 30. | 30 409 589 04sep2019 Wednesday 2019w36 2019m9 2019 | |-----------------------------------------------------------------------------| 31. | 31 410 279 29oct2018 Monday 2018w44 2018m10 2018 | 32. | 32 411 578 24aug2019 Saturday 2019w34 2019m8 2019 | 33. | 33 411 569 15aug2019 Thursday 2019w33 2019m8 2019 | 34. | 34 414 528 05jul2019 Friday 2019w27 2019m7 2019 | 35. | 35 421 193 04aug2018 Saturday 2018w31 2018m8 2018 | |-----------------------------------------------------------------------------| 36. | 36 425 588 03sep2019 Tuesday 2019w36 2019m9 2019 | 37. | 37 426 230 10sep2018 Monday 2018w37 2018m9 2018 | 38. | 38 426 346 04jan2019 Friday 2019w1 2019m1 2019 | 39. | 39 427 141 13jun2018 Wednesday 2018w24 2018m6 2018 | 40. | 40 430 207 18aug2018 Saturday 2018w33 2018m8 2018 | |-----------------------------------------------------------------------------| 41. | 41 432 587 02sep2019 Monday 2019w35 2019m9 2019 | 42. | 42 435 522 29jun2019 Saturday 2019w26 2019m6 2019 | 43. | 43 436 419 18mar2019 Monday 2019w11 2019m3 2019 | 44. | 44 440 559 05aug2019 Monday 2019w31 2019m8 2019 | 45. | 45 440 265 15oct2018 Monday 2018w42 2018m10 2018 | |-----------------------------------------------------------------------------| 46. | 46 440 585 31aug2019 Saturday 2019w35 2019m8 2019 | 47. | 47 441 319 08dec2018 Saturday 2018w49 2018m12 2018 | 48. | 48 441 404 03mar2019 Sunday 2019w9 2019m3 2019 | 49. | 49 442 342 31dec2018 Monday 2018w52 2018m12 2018 | 50. | 50 442 278 28oct2018 Sunday 2018w43 2018m10 2018 | +-----------------------------------------------------------------------------+
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Time-series plots:Full dataset:Truncated dataset: Basic statistics (for full dataset): Only drop last 3 days that belong to the 2020w13 (daydi = 792, 793), the incomplete week & incomlete day (dayid = 794). variable | N mean sd p50 p25 p75 min max -------------+-------------------------------------------------------------------------------- merit | 791 793.976 668.6453 666 556 819 300 12676 ----------------------------------------------------------------------------------------------
Applied formulas in previous weeks, potential outliers are days have intra-day merits beyond 162 or 1214. . di 819-556 263
. di 263*1.5 394.5
. di 819+394.5 1213.5
. di 556-394.5 161.5
There are 56 outliers (beyond 1214 or 162) in full dataset, in total. . count if (merit >= 1212 | merit <= 162) & merit != . 56
Those days are: +---------------------------+ | dayid merit date | |---------------------------| 2. | 2 12676 25jan2018 | 3. | 3 6348 26jan2018 | 4. | 4 4627 27jan2018 | 5. | 5 3240 28jan2018 | 6. | 6 3343 29jan2018 | 7. | 7 3804 30jan2018 | 8. | 8 4103 31jan2018 | 9. | 9 2793 01feb2018 | 10. | 10 2621 02feb2018 | 11. | 11 2476 03feb2018 | 12. | 12 1790 04feb2018 | 13. | 13 2263 05feb2018 | 14. | 14 2003 06feb2018 | 15. | 15 2367 07feb2018 | 16. | 16 2059 08feb2018 | 17. | 17 2223 09feb2018 | 18. | 18 1334 10feb2018 | 19. | 19 1793 11feb2018 | 20. | 20 1475 12feb2018 | 21. | 21 1289 13feb2018 | 22. | 22 1580 14feb2018 | 23. | 23 2797 15feb2018 | 24. | 24 1740 16feb2018 | 25. | 25 1431 17feb2018 | 26. | 26 1589 18feb2018 | 27. | 27 1289 19feb2018 | 28. | 28 1442 20feb2018 | 30. | 30 1277 22feb2018 | 31. | 31 1249 23feb2018 | 33. | 33 1372 25feb2018 | 35. | 35 1414 27feb2018 | 36. | 36 1302 28feb2018 | 38. | 38 1345 02mar2018 | 39. | 39 1727 03mar2018 | 49. | 49 1316 13mar2018 | 51. | 51 1224 15mar2018 | 57. | 57 1390 21mar2018 | 237. | 237 2553 17sep2018 | 238. | 238 1807 18sep2018 | 239. | 239 1347 19sep2018 | 240. | 240 1221 20sep2018 | |---------------------------| 429. | 429 1247 28mar2019 | 476. | 476 1215 14may2019 | 505. | 505 1227 12jun2019 | 660. | 660 1630 14nov2019 | 661. | 661 2374 15nov2019 | 662. | 662 1585 16nov2019 | 663. | 663 1377 17nov2019 | 664. | 664 2783 18nov2019 | 665. | 665 3826 19nov2019 | 666. | 666 2584 20nov2019 | 667. | 667 4889 21nov2019 | 668. | 668 5515 22nov2019 | 669. | 669 1590 23nov2019 | 678. | 678 1465 02dec2019 | |---------------------------| 755. | 755 1364 17feb2020 | +---------------------------+
Distributions of outliers over years:- 2018: 41 (73.2%)
- 2019: 14 (25%)
- 2020: 1 (1.8%)
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Converted dataset: - In 2020 at 27mar2020 01:34:34 (GMT time)
- The last one, with dayid = 794 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 60 Friday 2020w13 2020m3 2020 | +-----------------------------------------------------------------+
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