Some summary stats for the year 2020. 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 |
|
|
|
Intra-month merits (from 24/1/2018 to 31/5/2020)There are days dropped in order to get data for entire month. Day with id > 859 dropped because those days belong to the incomplete June of 2020 (2020m6).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 | +-----------------+
Time series plotBasic statistics:- 50% of observed months ( 29 months) have total intra-month merits above 21583, whilst the rest 50% of them have total intra-month merits below 21583. 21583 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 | 29 23442.24 7924.902 21583 18485 23874 15609 48374 ----------------------------------------------------------------------------------------------
Potential outliers:. 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
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 02/6/2020)Last 3 days dropped due to incomplete week (2020w23) and an incomplete day (dayid = 864)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 | +-----------------+
Time series plotBasic statistics:- 50% of observed weeks ( 123 weeks) have total intra-week merits above 4672, whilst the rest 50% of them have total intra-week merits below 4672. 4672 is the median - p50. - 50% of observed weeks have total intra-week merits fluctuated in the range from 4248 to 5648 (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 | 123.0 5539.2 3273.5 4672.0 4248.0 5648.0 3186.0 27920.0 ----------------------------------------------------------------------------------------------
Potential outliers:. di 5648-4248 1400
. di 1400*1.5 2100
. di 5648+2100 7748
. di 4248-2100 2148
It means that potential outliers are weeks that have intra-week merits beyond 2148 or 7748. How many weeks are potential outliers? . count if (merit >= 7748 | merit < 2148) & merit != . 9
9 weeks are outliers, in total. List of those 9 weeks: +-----------------+ | merit week | |-----------------| 1. | 27920 2018w4 | 2. | 20930 2018w5 | 3. | 14042 2018w6 | 4. | 11901 2018w7 | 5. | 8879 2018w8 | |-----------------| 6. | 9005 2018w9 | 35. | 9587 2018w38 | 95. | 11070 2019w46 | 96. | 20397 2019w47 | +-----------------+
Most of them occured in the year 2018, and there is only 2 outliers week occured in 2019, in 2019w46 (11070), 2019w47 (20397). None of them occured in 2020 so far. List of weeks in descending weekly meritsThe last week (with 4662 merits) stays at the 63th position, among 123 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 4672 2019w26 | 63. | 63 4662 2020w22 | 64. | 64 4650 2019w49 | 65. | 65 4629 2019w25 | |------------------------------| 66. | 66 4622 2020w10 | 67. | 67 4606 2018w47 | 68. | 68 4597 2019w23 | 69. | 69 4584 2019w1 | 70. | 70 4582 2019w4 | |------------------------------| 71. | 71 4574 2018w25 | 72. | 72 4539 2020w17 | 73. | 73 4508 2018w39 | 74. | 74 4505 2019w6 | 75. | 75 4473 2018w23 | |------------------------------| 76. | 76 4462 2019w28 | 77. | 77 4449 2018w16 | 78. | 78 4431 2018w20 | 79. | 79 4424 2018w42 | 80. | 80 4408 2019w5 | |------------------------------| 81. | 81 4386 2018w43 | 82. | 82 4382 2019w38 | 83. | 83 4377 2019w30 | 84. | 84 4367 2018w27 | 85. | 85 4348 2019w39 | |------------------------------| 86. | 86 4342 2019w22 | 87. | 87 4325 2018w40 | 88. | 88 4314 2019w8 | 89. | 89 4295 2019w11 | 90. | 90 4277 2018w29 | |------------------------------| 91. | 91 4260 2019w17 | 92. | 92 4259 2019w7 | 93. | 93 4248 2018w22 | 94. | 94 4209 2019w40 | 95. | 95 4199 2018w32 | |------------------------------| 96. | 96 4175 2018w45 | 97. | 97 4109 2018w28 | 98. | 98 4047 2018w46 | 99. | 99 4005 2019w29 | 100. | 100 4005 2019w37 | |------------------------------| 101. | 101 3981 2018w41 | 102. | 102 3965 2019w33 | 103. | 103 3953 2018w24 | 104. | 104 3903 2018w21 | 105. | 105 3882 2019w27 | |------------------------------| 106. | 106 3811 2019w34 | 107. | 107 3809 2018w30 | 108. | 108 3791 2018w48 | 109. | 109 3767 2018w33 | 110. | 110 3763 2018w34 | |------------------------------| 111. | 111 3689 2018w50 | 112. | 112 3687 2018w52 | 113. | 113 3683 2019w36 | 114. | 114 3615 2018w51 | 115. | 115 3603 2019w31 | |------------------------------| 116. | 116 3596 2018w49 | 117. | 117 3586 2018w37 | 118. | 118 3579 2019w35 | 119. | 119 3536 2018w36 | 120. | 120 3489 2018w31 | |------------------------------| 121. | 121 3346 2019w32 | 122. | 122 3321 2018w44 | 123. | 123 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 , Friday, and Tuesday at 710, 705, and 705, respectively; whislt the lowest days are Saturday, Sunday, and Monday at 615, 627, and 662, respectively. - In means, the highest days are Thursday, Friday, and Tuesday at 909, 851, and 809, respectively; whilst the lowest days are Sunday, Saturday, and Monday, at 697, 710, and 782, respectively. Basic statistics:Summary for variables: merit by categories of: dofw
dofw | N mean sd p50 p25 p75 min max ----------+-------------------------------------------------------------------------------- Sunday | 123.0 696.6 352.3 627.0 503.0 747.0 300.0 3240.0 Monday | 123.0 781.5 430.0 662.0 567.0 876.0 370.0 3343.0 Tuesday | 123.0 808.5 469.0 705.0 595.0 871.0 339.0 3826.0 Wednesday | 123.0 784.5 427.0 698.0 607.0 836.0 347.0 4103.0 Thursday | 123.0 908.2 1186.0 710.0 588.0 852.0 411.0 12676.0 Friday | 123.0 850.7 738.9 705.0 567.0 837.0 373.0 6348.0 Saturday | 123.0 709.1 457.0 615.0 509.0 742.0 375.0 4627.0 ----------+-------------------------------------------------------------------------------- Total | 861.0 791.3 642.1 674.0 563.0 823.0 300.0 12676.0 -------------------------------------------------------------------------------------------
Box plotsOutliers non-displayed. Since this week, I have stopped to give you box plot with outliers, and changed box colors for days of week. I hope you like the color changes.Details on ranks:In medians +----------------------------------------------------------------------+ | rankmedian dofw median mean p25 p75 min max | |----------------------------------------------------------------------| 1. | 1 Thursday 710 908.2114 588 852 411 12676 | 2. | 2 Friday 705 850.6504 567 837 373 6348 | 3. | 3 Tuesday 705 808.5447 595 871 339 3826 | 4. | 4 Wednesday 698 784.5447 607 836 347 4103 | 5. | 5 Monday 662 781.5041 567 876 370 3343 | |----------------------------------------------------------------------| 6. | 6 Sunday 627 696.626 503 747 300 3240 | 7. | 7 Saturday 615 709.0894 509 742 375 4627 | +----------------------------------------------------------------------+
In means +--------------------------------------------------------------------+ | rankmean dofw mean median p25 p75 min max | |--------------------------------------------------------------------| 1. | 1 Thursday 908.2114 710 588 852 411 12676 | 2. | 2 Friday 850.6504 705 567 837 373 6348 | 3. | 3 Tuesday 808.5447 705 595 871 339 3826 | 4. | 4 Wednesday 784.5447 698 607 836 347 4103 | 5. | 5 Monday 781.5041 662 567 876 370 3343 | |--------------------------------------------------------------------| 6. | 6 Saturday 709.0894 615 509 742 375 4627 | 7. | 7 Sunday 696.626 627 503 747 300 3240 | +--------------------------------------------------------------------+
|
|
|
During the period from 24/1/2018 to 03/6/2020 (last 3 days dropped due to incomplete week, 2020w24 and an incomplete day - dayid = 864), 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. | 13 378 567 13aug2019 Tuesday 2019w33 2019m8 2019 | 14. | 14 378 305 24nov2018 Saturday 2018w47 2018m11 2018 | 15. | 15 378 566 12aug2019 Monday 2019w32 2019m8 2019 | |-----------------------------------------------------------------------------| 16. | 16 380 192 03aug2018 Friday 2018w31 2018m8 2018 | 17. | 17 381 336 25dec2018 Tuesday 2018w52 2018m12 2018 | 18. | 18 385 327 16dec2018 Sunday 2018w50 2018m12 2018 | 19. | 19 385 215 26aug2018 Sunday 2018w34 2018m8 2018 | 20. | 20 391 221 01sep2018 Saturday 2018w35 2018m9 2018 | |-----------------------------------------------------------------------------| 21. | 21 394 188 30jul2018 Monday 2018w31 2018m7 2018 | 22. | 22 399 593 08sep2019 Sunday 2019w36 2019m9 2019 | 23. | 23 401 288 07nov2018 Wednesday 2018w45 2018m11 2018 | 24. | 24 401 557 03aug2019 Saturday 2019w31 2019m8 2019 | 25. | 25 402 263 13oct2018 Saturday 2018w41 2018m10 2018 | |-----------------------------------------------------------------------------| 26. | 26 404 229 09sep2018 Sunday 2018w36 2018m9 2018 | 27. | 27 406 277 27oct2018 Saturday 2018w43 2018m10 2018 | 28. | 28 408 530 07jul2019 Sunday 2019w27 2019m7 2019 | 29. | 29 409 589 04sep2019 Wednesday 2019w36 2019m9 2019 | 30. | 30 409 123 26may2018 Saturday 2018w21 2018m5 2018 | |-----------------------------------------------------------------------------| 31. | 31 410 279 29oct2018 Monday 2018w44 2018m10 2018 | 32. | 32 411 578 24aug2019 Saturday 2019w34 2019m8 2019 | 33. | 33 411 569 15aug2019 Thursday 2019w33 2019m8 2019 | 34. | 34 414 528 05jul2019 Friday 2019w27 2019m7 2019 | 35. | 35 421 193 04aug2018 Saturday 2018w31 2018m8 2018 | |-----------------------------------------------------------------------------| 36. | 36 425 588 03sep2019 Tuesday 2019w36 2019m9 2019 | 37. | 37 426 346 04jan2019 Friday 2019w1 2019m1 2019 | 38. | 38 426 230 10sep2018 Monday 2018w37 2018m9 2018 | 39. | 39 427 141 13jun2018 Wednesday 2018w24 2018m6 2018 | 40. | 40 430 207 18aug2018 Saturday 2018w33 2018m8 2018 | |-----------------------------------------------------------------------------| 41. | 41 432 587 02sep2019 Monday 2019w35 2019m9 2019 | 42. | 42 435 522 29jun2019 Saturday 2019w26 2019m6 2019 | 43. | 43 436 419 18mar2019 Monday 2019w11 2019m3 2019 | 44. | 44 440 559 05aug2019 Monday 2019w31 2019m8 2019 | 45. | 45 440 265 15oct2018 Monday 2018w42 2018m10 2018 | |-----------------------------------------------------------------------------| 46. | 46 440 585 31aug2019 Saturday 2019w35 2019m8 2019 | 47. | 47 441 404 03mar2019 Sunday 2019w9 2019m3 2019 | 48. | 48 441 319 08dec2018 Saturday 2018w49 2018m12 2018 | 49. | 49 442 278 28oct2018 Sunday 2018w43 2018m10 2018 | 50. | 50 442 342 31dec2018 Monday 2018w52 2018m12 2018 | +-----------------------------------------------------------------------------+
|
|
|
Time-series plots:Full dataset:Truncated dataset: Basic statistics (for full dataset): Only drop last 3 days that belong to the 2020w23 (daydi = 862, 863), the incomplete week & incomlete day (dayid = 864). variable | N mean sd p50 p25 p75 min max -------------+-------------------------------------------------------------------------------- merit | 861 791.3101 642.0947 674 563 823 300 12676 ----------------------------------------------------------------------------------------------
Applied formulas in previous weeks, potential outliers are days have intra-day merits beyond 173 or 1213. . di 823-563 260
. di 260*1.5 390
. di 823+390 1213
. di 563-390 173
There are 55 outliers (beyond 1213 or 173) in full dataset, in total. . count if (merit >= 1213 | merit <= 173) & merit != . 56
Those days are: . count if (merit >= 1213 | merit <= 173) & merit != . 56
. list dayid merit date if (merit >= 1213 | merit <= 173) & merit != ., sepby(year)
+---------------------------+ | 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 (25.0%)
- 2020: 1 (1.8%)
|
|
|
Update 2020w22, 05jun2020 02:50:02 (GMT time)* last 3 days belong to 2020w23.For all users:- Number of users who only earned at least 1 merit: 19580
- Number of users who only sent at least 1 merit: 7377
- Number of users who earned AND sent at least 1 merit: 14803
- Number of users who earned OR sent at least 1 merit: 41760
- Total Autobanned users: 141774
- Total Nuked users: 65276
- Total earned merits (for all): 602094
- Total sent merits (for all): 641743
For legit users only:- Total legit users: 12267
- Total earned merits: 566677
- Total sent merits: 613581
A summary table (for legit users only) | | | | | Earned merits | | | | | | Sent merits | | | Groups | | | Freq. | Percent | Total earned | Percent | | | Freq. | Percent | Total sent | Percent | __________________ | | | ___________ | _________ | _____________ | _______ | | | ___________ | _________ | _____________ | _______ | 1-10 | | | 7544 | 61.5 | 35166 | 6.2 | | | 8685 | 70.8 | 30481 | 5.0 | 11-100 | | | 3754 | 30.6 | 112254 | 19.8 | | | 2796 | 22.8 | 94598 | 15.4 | 101-250 | | | 506 | 4.1 | 77815 | 13.7 | | | 470 | 3.8 | 73479 | 12.0 | 251-500 | | | 213 | 1.7 | 71606 | 12.6 | | | 166 | 1.4 | 58218 | 9.5 | 501-1000 | | | 156 | 1.3 | 110002 | 19.4 | | | 72 | 0.6 | 48712 | 7.9 | 1001+ | | | 94 | 0.8 | 159834 | 28.2 | | | 78 | 0.6 | 308093 | 50.2 | Total | | | 12267 | 100 | 566677 | 100 | | | 12267 | 100 | 613581 | 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 | 7377 | 17.7 | Earned only | 19580 | 46.9 | Both | 14803 | 35.4 | Total | 41760 | 100 | _________________________ | ______________ | ______________ | Account status (for legit only) | | | _________________________ | ______________ | ______________ | Legit | 12267 | 82.9 | Autobanned | 2519 | 17.0 | Nuked | 17 | 0.1 | Total | 14803 | 100 | _________________________ | ______________ | ______________ |
|
|
|
Converted dataset: - In 2020 at 05jun2020 02:50:02 (GMT time)
- The last one, with dayid = 864 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 47 Friday 2020w23 2020m6 2020 | +-----------------------------------------------------------------+
|
|
|
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 nsenders ntransactions nposts | |------------------------------------------------------------------------------------| 1. | 1 LoyceV 459836 588 2938 1389 | 2. | 2 o_e_l_e_o 1188543 402 2357 1485 | 3. | 3 suchmoon 234771 399 2371 1478 | 4. | 4 El duderino_ 1067333 308 2339 1487 | 5. | 5 DdmrDdmr 1582324 380 2021 1091 | |------------------------------------------------------------------------------------| 6. | 6 theymos 35 946 2607 512 | 7. | 7 Last of the V8s 479624 249 2204 1460 | 8. | 8 fillippone 1852120 296 1920 963 | 9. | 9 mikeywith 2033515 251 1453 827 | 10. | 10 The Pharmacist 487418 318 1341 945 | |------------------------------------------------------------------------------------| 11. | 11 nutildah 317618 302 1291 812 | 12. | 12 VB1001 1138727 192 1559 946 | 13. | 13 achow101 290195 171 1179 481 | 14. | 14 LFC_Bitcoin 379487 229 1671 1131 | 15. | 15 gmaxwell 11425 173 925 347 | |------------------------------------------------------------------------------------| 16. | 16 HairyMaclairy 181806 156 1326 926 | 17. | 17 JayJuanGee 252510 221 1383 1109 | 18. | 18 xhomerx10 120694 215 1150 654 | 19. | 19 HCP 867786 226 1166 730 | 20. | 20 iasenko 1291828 297 1022 456 | |------------------------------------------------------------------------------------| 21. | 21 TryNinja 557798 290 1044 719 | 22. | 22 pooya87 379147 238 1156 752 | 23. | 23 1miau 2143453 262 1366 627 | 24. | 24 hilariousetc 397737 211 901 551 | 25. | 25 gentlemand 155345 276 1062 809 | |------------------------------------------------------------------------------------| 26. | 26 abhiseshakana 1878246 125 985 516 | 27. | 27 philipma1957 64507 206 752 595 | 28. | 28 ETFbitcoin 359716 215 808 560 | 29. | 29 BobLawblaw 569455 140 1026 637 | 30. | 30 bitmover 1554927 261 877 503 | |------------------------------------------------------------------------------------| 31. | 31 marlboroza 787736 213 706 439 | 32. | 32 Steamtyme 1112531 196 744 414 | 33. | 33 qwk 24140 215 868 524 | 34. | 34 roycilik 1051955 154 829 335 | 35. | 35 jojo69 49008 153 1041 698 | |------------------------------------------------------------------------------------| 36. | 36 Goran_ 1039323 120 777 606 | 37. | 37 Vod 30747 304 769 426 | 38. | 38 taikuri13 1855828 119 765 528 | 39. | 39 Husna QA 1827294 134 744 350 | 40. | 40 hugeblack 1059082 239 867 506 | |------------------------------------------------------------------------------------| 41. | 41 mu_enrico 1574226 131 733 356 | 42. | 42 krogothmanhattan 1000199 224 672 282 | 43. | 43 morvillz7z 1825672 153 664 323 | 44. | 44 Veleor 1177936 164 743 418 | 45. | 45 DireWolfM14 2003859 213 852 474 | |------------------------------------------------------------------------------------| 46. | 46 Carlton Banks 64205 154 685 420 | 47. | 47 joniboni 1275282 199 780 467 | 48. | 48 witcher_sense 1433865 146 884 372 | 49. | 49 mindrust 176777 200 724 496 | 50. | 50 mk4 886521 266 783 515 | |------------------------------------------------------------------------------------| 51. | 51 mocacino 405464 187 778 411 | 52. | 52 Coolcryptovator 1980983 274 798 374 | 53. | 53 yogg 140827 137 599 286 | 54. | 54 nc50lc 1237156 175 751 403 | 55. | 55 Jet Cash 698159 271 824 559 | |------------------------------------------------------------------------------------| 56. | 56 DarkStar_ 507936 288 757 411 | 57. | 57 minerjones 346731 115 440 292 | 58. | 58 tvplus006 1311641 235 816 283 | 59. | 59 Hhampuz 881377 330 921 400 | 60. | 60 bob123 579628 179 931 573 | |------------------------------------------------------------------------------------| 61. | 61 BitCryptex 1169179 152 694 352 | 62. | 62 stompix 164749 218 618 463 | 63. | 63 OmegaStarScream 375981 216 644 396 | 64. | 64 Lafu 805820 162 676 400 | 65. | 65 infofront 41175 142 731 439 | |------------------------------------------------------------------------------------| 66. | 66 coinlocket$ 1339716 194 614 339 | 67. | 67 Plutosky 1237522 55 661 361 | 68. | 68 asche 1580039 138 702 433 | 69. | 69 CryptopreneurBrainboss 1052091 239 687 331 | 70. | 70 tranthidung 1292764 248 845 350 | |------------------------------------------------------------------------------------| 71. | 71 xtraelv 897509 222 733 335 | 72. | 72 Toxic2040 239406 124 906 629 | 73. | 73 Coding Enthusiast 879277 105 557 179 | 74. | 74 LeGaulois 507856 211 549 343 | 75. | 75 Xal0lex 1068464 123 572 322 | |------------------------------------------------------------------------------------| 76. | 76 yahoo62278 355846 382 789 318 | 77. | 77 mole0815 1424178 130 857 606 | 78. | 78 Lauda 101872 243 774 516 | 79. | 79 satoshi 3 262 365 65 | 80. | 80 Welsh 84521 186 519 267 | |------------------------------------------------------------------------------------| 81. | 81 Foxpup 55384 148 425 225 | 82. | 82 aundroid 1015954 112 684 401 | 83. | 83 Lakai01 1724800 94 669 354 | 84. | 84 SaltySpitoon 38894 107 379 223 | 85. | 85 pandukelana2712 1304130 155 534 216 | |------------------------------------------------------------------------------------| 86. | 86 PHI16168 1071136 116 411 175 | 87. | 87 wwzsocki 131333 160 613 329 | 88. | 88 madnessteat 1894120 122 596 290 | 89. | 89 Piggy 188198 191 448 147 | 90. | 90 lovesmayfamilis 1982152 111 847 359 | |------------------------------------------------------------------------------------| 91. | 91 TMAN 98986 214 604 365 | 92. | 92 Kalemder 487377 144 606 262 | 93. | 93 eddie13 580327 148 457 271 | 94. | 94 tyKiwanuka 1025255 117 514 302 | 95. | 95 Corrosive 2005913 96 272 79 | |------------------------------------------------------------------------------------| 96. | 96 nullius 976210 221 713 299 | 97. | 97 theyoungmillionaire 1180530 151 369 117 | 98. | 98 Rikafip 2658890 179 680 271 | 99. | 99 masulum 1283017 135 606 226 | 100. | 100 Ratimov 2627711 128 763 426 | +------------------------------------------------------------------------------------+
|
|
|
Update 2020w22ABSTRACT- Period: 2018w4 - 2020w23 05jun2020 02:50:02 (GMT time).
- Observed weeks: 122
- Incomple weeks: 2018w4, 2020w23.
- The last merit transaction is at 05jun2020 02:50:02 (GMT time)
List of top 100 merit earners, sorted descendingly by sum of earned merits: +-------------------------------------------------------+ | rank_total username userid total | |-------------------------------------------------------| 1. | 1 theymos 35 6828 | 2. | 2 LoyceV 459836 5389 | 3. | 3 o_e_l_e_o 1188543 4223 | 4. | 4 suchmoon 234771 4196 | 5. | 5 DdmrDdmr 1582324 3818 | |-------------------------------------------------------| 6. | 6 El duderino_ 1067333 3625 | 7. | 7 fillippone 1852120 3317 | 8. | 8 Last of the V8s 479624 3277 | 9. | 9 gmaxwell 11425 2948 | 10. | 10 mikeywith 2033515 2537 | |-------------------------------------------------------| 11. | 11 The Pharmacist 487418 2516 | 12. | 12 satoshi 3 2318 | 13. | 13 nutildah 317618 2309 | 14. | 14 achow101 290195 2292 | 15. | 15 LFC_Bitcoin 379487 2288 | |-------------------------------------------------------| 16. | 16 1miau 2143453 2196 | 17. | 17 VB1001 1138727 2077 | 18. | 18 HCP 867786 2015 | 19. | 19 xhomerx10 120694 1993 | 20. | 20 iasenko 1291828 1956 | |-------------------------------------------------------| 21. | 21 hilariousetc 397737 1929 | 22. | 22 Hhampuz 881377 1873 | 23. | 23 abhiseshakana 1878246 1827 | 24. | 24 JayJuanGee 252510 1820 | 25. | 25 pooya87 379147 1732 | |-------------------------------------------------------| 26. | 26 TryNinja 557798 1731 | 27. | 27 DireWolfM14 2003859 1724 | 28. | 28 HairyMaclairy 181806 1702 | 29. | 29 Lauda 101872 1640 | 30. | 30 Steamtyme 1112531 1622 | |-------------------------------------------------------| 31. | 31 nullius 976210 1620 | 32. | 32 gentlemand 155345 1595 | 33. | 33 xtraelv 897509 1583 | 34. | 34 qwk 24140 1580 | 35. | 35 Vod 30747 1570 | |-------------------------------------------------------| 36. | 36 bob123 579628 1528 | 37. | 37 marlboroza 787736 1528 | 38. | 38 krogothmanhattan 1000199 1506 | 39. | 39 tranthidung 1292764 1499 | 40. | 40 yogg 140827 1483 | |-------------------------------------------------------| 41. | 41 roycilik 1051955 1477 | 42. | 42 jojo69 49008 1441 | 43. | 43 Veleor 1177936 1426 | 44. | 44 witcher_sense 1433865 1418 | 45. | 45 Jet Cash 698159 1415 | |-------------------------------------------------------| 46. | 46 Toxic2040 239406 1409 | 47. | 47 joniboni 1275282 1390 | 48. | 48 yahoo62278 355846 1386 | 49. | 49 BitCryptex 1169179 1385 | 50. | 50 Ratimov 2627711 1380 | |-------------------------------------------------------| 51. | 51 ETFbitcoin 359716 1365 | 52. | 52 bitmover 1554927 1365 | 53. | 53 Husna QA 1827294 1361 | 54. | 54 philipma1957 64507 1360 | 55. | 55 mocacino 405464 1353 | |-------------------------------------------------------| 56. | 56 DarkStar_ 507936 1349 | 57. | 57 BobLawblaw 569455 1342 | 58. | 58 mu_enrico 1574226 1324 | 59. | 59 hugeblack 1059082 1318 | 60. | 60 TMAN 98986 1303 | |-------------------------------------------------------| 61. | 61 morvillz7z 1825672 1299 | 62. | 62 Coding Enthusiast 879277 1295 | 63. | 63 CryptopreneurBrainboss 1052091 1255 | 64. | 64 taikuri13 1855828 1252 | 65. | 65 coinlocket$ 1339716 1252 | |-------------------------------------------------------| 66. | 66 Coolcryptovator 1980983 1250 | 67. | 67 nc50lc 1237156 1246 | 68. | 68 mole0815 1424178 1246 | 69. | 69 Carlton Banks 64205 1229 | 70. | 70 tvplus006 1311641 1209 | |-------------------------------------------------------| 71. | 71 lovesmayfamilis 1982152 1169 | 72. | 72 Piggy 188198 1158 | 73. | 73 Kalemder 487377 1156 | 74. | 74 minerjones 346731 1145 | 75. | 75 SaltySpitoon 38894 1127 | |-------------------------------------------------------| 76. | 76 asche 1580039 1125 | 77. | 77 mk4 886521 1121 | 78. | 78 Goran_ 1039323 1114 | 79. | 79 PHI16168 1071136 1094 | 80. | 80 Xal0lex 1068464 1089 | |-------------------------------------------------------| 81. | 81 aundroid 1015954 1084 | 82. | 82 Plutosky 1237522 1082 | 83. | 83 Rikafip 2658890 1074 | 84. | 84 masulum 1283017 1064 | 85. | 85 stompix 164749 1052 | |-------------------------------------------------------| 86. | 86 infofront 41175 1049 | 87. | 87 Welsh 84521 1030 | 88. | 88 Corrosive 2005913 1025 | 89. | 89 tyKiwanuka 1025255 1020 | 90. | 90 madnessteat 1894120 1018 | |-------------------------------------------------------| 91. | 91 OmegaStarScream 375981 1015 | 92. | 92 theyoungmillionaire 1180530 1013 | 93. | 93 mindrust 176777 1007 | 94. | 94 wwzsocki 131333 1006 | 95. | 95 Lafu 805820 1005 | |-------------------------------------------------------| 96. | 96 LeGaulois 507856 997 | 97. | 97 Foxpup 55384 981 | 98. | 98 Lakai01 1724800 980 | 99. | 99 pandukelana2712 1304130 975 | 100. | 100 eddie13 580327 971 | +-------------------------------------------------------+
List of top 100 merit earners, sorted descendingly by median of weekly earned merits: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 39.5 35.5 23 58.5 2 115 | 2. | 2 o_e_l_e_o 1188543 32.5 30 16 46 0 101 | 3. | 3 suchmoon 234771 30 29.5 17 46.5 0 148 | 4. | 4 El duderino_ 1067333 27.5 23 17 40 0 100 | 5. | 5 DdmrDdmr 1582324 25 26 15 41 0 106 | |-------------------------------------------------------------------------------------------| 6. | 6 theymos 35 23.5 51 10 61 0 1328 | 7. | 7 Last of the V8s 479624 23 23.5 13.5 37 0 118 | 8. | 8 fillippone 1852120 18 43.5 0 43.5 0 141 | 9. | 9 mikeywith 2033515 17.5 31.5 0 31.5 0 92 | 10. | 10 The Pharmacist 487418 15.5 19.5 9 28.5 0 93 | |-------------------------------------------------------------------------------------------| 11. | 11 nutildah 317618 15.5 26.5 1 27.5 0 94 | 12. | 12 VB1001 1138727 15 27 0 27 0 98 | 13. | 13 achow101 290195 14.5 18 7 25 0 77 | 14. | 14 LFC_Bitcoin 379487 14.5 20.5 6 26.5 0 73 | 15. | 15 gmaxwell 11425 13 26 4 30 0 178 | |-------------------------------------------------------------------------------------------| 16. | 16 HairyMaclairy 181806 12.5 12 6 18 0 56 | 17. | 17 JayJuanGee 252510 12.5 14 6 20 0 54 | 18. | 18 xhomerx10 120694 12 15 5 20 0 121 | 19. | 19 HCP 867786 12 17.5 5 22.5 0 69 | 20. | 20 iasenko 1291828 12 20.5 5 25.5 0 52 | |-------------------------------------------------------------------------------------------| 21. | 21 TryNinja 557798 11 10.5 6 16.5 0 173 | 22. | 22 pooya87 379147 11 15 5.5 20.5 0 48 | 23. | 23 1miau 2143453 11 24 2 26 0 100 | 24. | 24 hilariousetc 397737 10.5 19 3 22 0 90 | 25. | 25 gentlemand 155345 10 13 5 18 1 74 | |-------------------------------------------------------------------------------------------| 26. | 26 abhiseshakana 1878246 10 18 3 21 0 73 | 27. | 27 philipma1957 64507 9.5 11 5 16 0 38 | 28. | 28 ETFbitcoin 359716 9 10 4 14 0 50 | 29. | 29 BobLawblaw 569455 9 10.5 4.5 15 0 55 | 30. | 30 bitmover 1554927 9 11 4 15 0 48 | |-------------------------------------------------------------------------------------------| 31. | 31 marlboroza 787736 9 12 3 15 0 79 | 32. | 32 Steamtyme 1112531 9 15 3 18 0 115 | 33. | 33 qwk 24140 9 15 3 18 0 88 | 34. | 34 roycilik 1051955 8.5 15 3 18 0 48 | 35. | 35 jojo69 49008 8 10 4 14 0 102 | |-------------------------------------------------------------------------------------------| 36. | 36 Goran_ 1039323 8 10 3 13 0 36 | 37. | 37 Vod 30747 8 10.5 3 13.5 0 158 | 38. | 38 taikuri13 1855828 8 12 4 16 0 36 | 39. | 39 Husna QA 1827294 8 12 3 15 0 62 | 40. | 40 hugeblack 1059082 8 12.5 2 14.5 0 62 | |-------------------------------------------------------------------------------------------| 41. | 41 mu_enrico 1574226 8 13 2 15 0 78 | 42. | 42 krogothmanhattan 1000199 8 13.5 3 16.5 0 77 | 43. | 43 morvillz7z 1825672 8 14 1 15 0 58 | 44. | 44 Veleor 1177936 8 16.5 .5 17 0 90 | 45. | 45 DireWolfM14 2003859 8 18.5 1 19.5 0 84 | |-------------------------------------------------------------------------------------------| 46. | 46 Carlton Banks 64205 7.5 10.5 3 13.5 0 76 | 47. | 47 joniboni 1275282 7.5 11.5 4 15.5 0 54 | 48. | 48 witcher_sense 1433865 7.5 19 0 19 0 76 | 49. | 49 mindrust 176777 7 8.5 2 10.5 0 55 | 50. | 50 mk4 886521 7 10 3 13 0 52 | |-------------------------------------------------------------------------------------------| 51. | 51 mocacino 405464 7 10.5 4 14.5 0 50 | 52. | 52 Coolcryptovator 1980983 7 11.5 2.5 14 0 64 | 53. | 53 yogg 140827 7 12 2 14 0 91 | 54. | 54 nc50lc 1237156 7 12 1 13 0 68 | 55. | 55 Jet Cash 698159 7 12.5 3 15.5 0 65 | |-------------------------------------------------------------------------------------------| 56. | 56 DarkStar_ 507936 7 12.5 2 14.5 0 78 | 57. | 57 minerjones 346731 7 13 1 14 0 67 | 58. | 58 tvplus006 1311641 7 15.5 .5 16 0 42 | 59. | 59 Hhampuz 881377 7 16 3 19 0 92 | 60. | 60 bob123 579628 7 17 2 19 0 68 | |-------------------------------------------------------------------------------------------| 61. | 61 BitCryptex 1169179 6.5 12 3 15 0 126 | 62. | 62 stompix 164749 6 8 3 11 0 62 | 63. | 63 OmegaStarScream 375981 6 9 2 11 0 43 | 64. | 64 Lafu 805820 6 9 2 11 0 41 | 65. | 65 infofront 41175 6 10 2 12 0 74 | |-------------------------------------------------------------------------------------------| 66. | 66 coinlocket$ 1339716 6 10.5 2 12.5 0 98 | 67. | 67 Plutosky 1237522 6 11 2 13 0 43 | 68. | 68 asche 1580039 6 11 1 12 0 50 | 69. | 69 CryptopreneurBrainboss 1052091 6 15 0 15 0 81 | 70. | 70 tranthidung 1292764 6 16 1 17 0 98 | |-------------------------------------------------------------------------------------------| 71. | 71 xtraelv 897509 6 16.5 1.5 18 0 104 | 72. | 72 Toxic2040 239406 6 19.5 0 19.5 0 105 | 73. | 73 Coding Enthusiast 879277 5.5 13 0 13 0 116 | 74. | 74 LeGaulois 507856 5 8 3 11 0 64 | 75. | 75 Xal0lex 1068464 5 9.5 2 11.5 0 116 | |-------------------------------------------------------------------------------------------| 76. | 76 yahoo62278 355846 5 11.5 2 13.5 0 130 | 77. | 77 mole0815 1424178 5 12 2 14 0 73 | 78. | 78 Lauda 101872 5 14 2 16 0 238 | 79. | 79 satoshi 3 4.5 19.5 1 20.5 0 482 | 80. | 80 Welsh 84521 4 8 1 9 0 103 | |-------------------------------------------------------------------------------------------| 81. | 81 Foxpup 55384 4 8.5 1 9.5 0 88 | 82. | 82 aundroid 1015954 4 10 0 10 0 64 | 83. | 83 Lakai01 1724800 4 10 0 10 0 63 | 84. | 84 SaltySpitoon 38894 3.5 12 0 12 0 94 | 85. | 85 pandukelana2712 1304130 3 9 0 9 0 94 | |-------------------------------------------------------------------------------------------| 86. | 86 PHI16168 1071136 3 9.5 0 9.5 0 85 | 87. | 87 wwzsocki 131333 3 11 0 11 0 70 | 88. | 88 madnessteat 1894120 3 13.5 0 13.5 0 54 | 89. | 89 Piggy 188198 3 14 0 14 0 85 | 90. | 90 lovesmayfamilis 1982152 3 16 0 16 0 45 | |-------------------------------------------------------------------------------------------| 91. | 91 TMAN 98986 2 10 0 10 0 275 | 92. | 92 Kalemder 487377 1 7.5 0 7.5 0 161 | 93. | 93 eddie13 580327 1 9.5 0 9.5 0 122 | 94. | 94 tyKiwanuka 1025255 1 10 0 10 0 107 | 95. | 95 Corrosive 2005913 0 5.5 0 5.5 0 172 | |-------------------------------------------------------------------------------------------| 96. | 96 nullius 976210 0 6 0 6 0 180 | 97. | 97 theyoungmillionaire 1180530 0 10.5 0 10.5 0 104 | 98. | 98 Rikafip 2658890 0 13 0 13 0 100 | 99. | 99 masulum 1283017 0 13 0 13 0 61 | 100. | 100 Ratimov 2627711 0 20 0 20 0 93 | +-------------------------------------------------------------------------------------------+
|
|
|
Conditions before and after the pause may vary. Home advantage isn't that solid as before, big teams may fall in some easy games and so on. Better to see how things are going on in the first minutes to have a better idea about how the game will end ![Wink](https://bitcointalk.org/Smileys/default/wink.gif) With matches will be played behind closed doors, home stadiums are not a great advantage as before the pandemic. Without fans, home stadiums are not normal home stadiums as it used to be. There are some components for home stadiums, and fans and their supports within matches are one of most important things. So players will have less pressure when playing on away stadiums.
|
|
|
Not only big leagues come back but also BetBTC com back with banner ad on the forum. I probably see a typo in your signature. COMM, what is it? If that one is truly a typo, please spend a few seconds to fix it.
|
|
|
Intra-week merits (from 24/1/2018 to 26/5/2020)Last 3 days dropped due to incomplete week (2020w22) and an incomplete day (dayid = 857)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 | +-----------------+
Time series plotBasic statistics:- 50% of observed weeks ( 122 weeks) have total intra-week merits above 4678, whilst the rest 50% of them have total intra-week merits below 4678. 4678 is the median - p50. - 50% of observed weeks have total intra-week merits fluctuated in the range from 4248 to 5648 (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 | 122.0 5546.4 3286.1 4678.0 4248.0 5648.0 3186.0 27920.0 ----------------------------------------------------------------------------------------------
Potential outliers:. di 5648-4248 1400
. di 1400*1.5 2100
. di 5648+2100 7748
. di 4248-2100 2148
It means that potential outliers are weeks that have intra-week merits beyond 2148 or 7748. How many weeks are potential outliers? . count if (merit >= 7748 | merit < 2148) & merit != . 9
9 weeks are outliers, in total. List of those 9 weeks: +-----------------+ | merit week | |-----------------| 1. | 27920 2018w4 | 2. | 20930 2018w5 | 3. | 14042 2018w6 | 4. | 11901 2018w7 | 5. | 8879 2018w8 | |-----------------| 6. | 9005 2018w9 | 35. | 9587 2018w38 | 95. | 11070 2019w46 | 96. | 20397 2019w47 | +-----------------+
Most of them occured in the year 2018, and there is only 2 outliers week occured in 2019, in 2019w46 (11070), 2019w47 (20397). None of them occured in 2020 so far. List of weeks in descending weekly meritsThe last week (with 5334 merits) stays at the 39th position, among 122 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 4672 2019w26 | 63. | 63 4650 2019w49 | 64. | 64 4629 2019w25 | 65. | 65 4622 2020w10 | |------------------------------| 66. | 66 4606 2018w47 | 67. | 67 4597 2019w23 | 68. | 68 4584 2019w1 | 69. | 69 4582 2019w4 | 70. | 70 4574 2018w25 | |------------------------------| 71. | 71 4539 2020w17 | 72. | 72 4508 2018w39 | 73. | 73 4505 2019w6 | 74. | 74 4473 2018w23 | 75. | 75 4462 2019w28 | |------------------------------| 76. | 76 4449 2018w16 | 77. | 77 4431 2018w20 | 78. | 78 4424 2018w42 | 79. | 79 4408 2019w5 | 80. | 80 4386 2018w43 | |------------------------------| 81. | 81 4382 2019w38 | 82. | 82 4377 2019w30 | 83. | 83 4367 2018w27 | 84. | 84 4348 2019w39 | 85. | 85 4342 2019w22 | |------------------------------| 86. | 86 4325 2018w40 | 87. | 87 4314 2019w8 | 88. | 88 4295 2019w11 | 89. | 89 4277 2018w29 | 90. | 90 4260 2019w17 | |------------------------------| 91. | 91 4259 2019w7 | 92. | 92 4248 2018w22 | 93. | 93 4209 2019w40 | 94. | 94 4199 2018w32 | 95. | 95 4175 2018w45 | |------------------------------| 96. | 96 4109 2018w28 | 97. | 97 4047 2018w46 | 98. | 98 4005 2019w37 | 99. | 99 4005 2019w29 | 100. | 100 3981 2018w41 | |------------------------------| 101. | 101 3965 2019w33 | 102. | 102 3953 2018w24 | 103. | 103 3903 2018w21 | 104. | 104 3882 2019w27 | 105. | 105 3811 2019w34 | |------------------------------| 106. | 106 3809 2018w30 | 107. | 107 3791 2018w48 | 108. | 108 3767 2018w33 | 109. | 109 3763 2018w34 | 110. | 110 3689 2018w50 | |------------------------------| 111. | 111 3687 2018w52 | 112. | 112 3683 2019w36 | 113. | 113 3615 2018w51 | 114. | 114 3603 2019w31 | 115. | 115 3596 2018w49 | |------------------------------| 116. | 116 3586 2018w37 | 117. | 117 3579 2019w35 | 118. | 118 3536 2018w36 | 119. | 119 3489 2018w31 | 120. | 120 3346 2019w32 | |------------------------------| 121. | 121 3321 2018w44 | 122. | 122 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 711, 706, and 706, respectively; whislt the lowest days are Saturday, Sunday, and Monday at 619, 630, and 662, respectively. - In means, the highest days are Thursday, Friday, and Tuesday at 910, 852, and 810, respectively; whilst the lowest days are Sunday, Saturday, and Monday, at 698, 711, and 781, respectively. Basic statistics:Summary for variables: merit by categories of: dofw
dofw | N mean sd p50 p25 p75 min max ----------+-------------------------------------------------------------------------------- Sunday | 122.0 698.0 353.4 629.5 503.0 747.0 300.0 3240.0 Monday | 122.0 781.1 431.7 662.0 567.0 876.0 370.0 3343.0 Tuesday | 122.0 809.8 470.7 706.0 595.0 871.0 339.0 3826.0 Wednesday | 122.0 785.3 428.7 698.0 607.0 836.0 347.0 4103.0 Thursday | 122.0 910.0 1190.7 710.5 588.0 852.0 411.0 12676.0 Friday | 122.0 852.0 741.8 705.5 567.0 837.0 373.0 6348.0 Saturday | 122.0 710.3 458.7 618.5 509.0 742.0 375.0 4627.0 ----------+-------------------------------------------------------------------------------- Total | 854.0 792.3 644.6 674.0 563.0 824.0 300.0 12676.0 -------------------------------------------------------------------------------------------
Box plotsOutliers non-displayed. Since this week, I have stopped to give you box plot with outliers, and changed box colors for days of week. I hope you like the color changes.Details on ranks:In medians +----------------------------------------------------------------------+ | rankmedian dofw median mean p25 p75 min max | |----------------------------------------------------------------------| 1. | 1 Thursday 710.5 910 588 852 411 12676 | 2. | 2 Tuesday 706 809.7705 595 871 339 3826 | 3. | 3 Friday 705.5 852 567 837 373 6348 | 4. | 4 Wednesday 698 785.2541 607 836 347 4103 | 5. | 5 Monday 662 781.0738 567 876 370 3343 | |----------------------------------------------------------------------| 6. | 6 Sunday 629.5 697.9918 503 747 300 3240 | 7. | 7 Saturday 618.5 710.2705 509 742 375 4627 | +----------------------------------------------------------------------+
In means +--------------------------------------------------------------------+ | rankmean dofw mean median p25 p75 min max | |--------------------------------------------------------------------| 1. | 1 Thursday 910 710.5 588 852 411 12676 | 2. | 2 Friday 852 705.5 567 837 373 6348 | 3. | 3 Tuesday 809.7705 706 595 871 339 3826 | 4. | 4 Wednesday 785.2541 698 607 836 347 4103 | 5. | 5 Monday 781.0738 662 567 876 370 3343 | |--------------------------------------------------------------------| 6. | 6 Saturday 710.2705 618.5 509 742 375 4627 | 7. | 7 Sunday 697.9918 629.5 503 747 300 3240 | +--------------------------------------------------------------------+
|
|
|
|