I only pointed out some potential outliers (daily). You are locals so you do know what happened in your local boards with those potential outliers.
I made analyses for some top local boards only.
1. Russian:
variable | N mean sd p50 p25 p75 min max
-------------+--------------------------------------------------------------------------------
merit | 687.0 78.5 124.2 60.0 43.0 85.0 8.0 2766.0
----------------------------------------------------------------------------------------------
. di 85-43
42
. di 42*1.5
63
. di 85 + 63
148
+-------------------+
| date merit |
|-------------------|
2. | 25jan2018 2766 |
3. | 26jan2018 1002 |
4. | 27jan2018 428 |
5. | 28jan2018 228 |
6. | 29jan2018 361 |
7. | 30jan2018 562 |
8. | 31jan2018 833 |
9. | 01feb2018 388 |
10. | 02feb2018 437 |
11. | 03feb2018 291 |
12. | 04feb2018 223 |
13. | 05feb2018 246 |
14. | 06feb2018 285 |
15. | 07feb2018 216 |
16. | 08feb2018 177 |
17. | 09feb2018 185 |
20. | 12feb2018 290 |
23. | 15feb2018 158 |
25. | 17feb2018 157 |
32. | 24feb2018 160 |
33. | 25feb2018 149 |
34. | 26feb2018 191 |
35. | 27feb2018 148 |
38. | 02mar2018 209 |
39. | 03mar2018 163 |
40. | 04mar2018 155 |
52. | 16mar2018 160 |
76. | 09apr2018 187 |
154. | 26jun2018 350 |
237. | 17sep2018 247 |
238. | 18sep2018 195 |
240. | 20sep2018 153 |
342. | 31dec2018 163 |
|-------------------|
413. | 12mar2019 180 |
430. | 29mar2019 232 |
458. | 26apr2019 171 |
462. | 30apr2019 253 |
493. | 31may2019 153 |
576. | 22aug2019 224 |
623. | 08oct2019 170 |
660. | 14nov2019 280 |
662. | 16nov2019 169 |
664. | 18nov2019 176 |
+-------------------+
2. Indonesian
variable | N mean sd p50 p25 p75 min max
-------------+--------------------------------------------------------------------------------
merit | 677.0 28.6 33.9 18.0 8.0 36.0 1.0 337.0
----------------------------------------------------------------------------------------------
. di 36-8
28
. di 28*1.5
42
. di 36+42
78
+-------------------+
| date merit |
|-------------------|
2. | 25jan2018 337 |
3. | 26jan2018 265 |
4. | 27jan2018 165 |
5. | 28jan2018 109 |
6. | 29jan2018 211 |
7. | 30jan2018 125 |
8. | 31jan2018 175 |
9. | 01feb2018 170 |
10. | 02feb2018 174 |
11. | 03feb2018 91 |
12. | 04feb2018 97 |
16. | 08feb2018 125 |
17. | 09feb2018 147 |
22. | 14feb2018 95 |
23. | 15feb2018 85 |
27. | 19feb2018 109 |
28. | 20feb2018 185 |
29. | 21feb2018 80 |
31. | 23feb2018 119 |
32. | 24feb2018 97 |
35. | 27feb2018 88 |
36. | 28feb2018 84 |
38. | 02mar2018 92 |
42. | 06mar2018 81 |
69. | 02apr2018 82 |
113. | 16may2018 78 |
209. | 23aug2018 109 |
234. | 17sep2018 133 |
247. | 30sep2018 85 |
322. | 15dec2018 156 |
|-------------------|
353. | 15jan2019 130 |
356. | 18jan2019 108 |
358. | 20jan2019 91 |
372. | 05feb2019 83 |
381. | 14feb2019 138 |
400. | 05mar2019 117 |
426. | 31mar2019 140 |
441. | 15apr2019 96 |
443. | 17apr2019 95 |
445. | 19apr2019 136 |
446. | 20apr2019 81 |
457. | 01may2019 96 |
462. | 06may2019 190 |
465. | 09may2019 78 |
658. | 22nov2019 78 |
671. | 05dec2019 93 |
+-------------------+
3. German
variable | N mean sd p50 p25 p75 min max
-------------+--------------------------------------------------------------------------------
merit | 682.0 26.3 37.1 16.0 8.0 29.0 1.0 634.0
----------------------------------------------------------------------------------------------
. di 29-8
21
. di 21*1.5
31.5
. di 29+31.5
60.5
+-------------------+
| date merit |
|-------------------|
1. | 25jan2018 72 |
2. | 26jan2018 118 |
3. | 27jan2018 123 |
4. | 28jan2018 93 |
5. | 29jan2018 88 |
6. | 30jan2018 70 |
7. | 31jan2018 103 |
8. | 01feb2018 120 |
9. | 02feb2018 130 |
10. | 03feb2018 99 |
11. | 04feb2018 130 |
12. | 05feb2018 76 |
13. | 06feb2018 119 |
36. | 01mar2018 80 |
38. | 03mar2018 62 |
46. | 11mar2018 130 |
57. | 22mar2018 79 |
75. | 09apr2018 90 |
140. | 14jun2018 103 |
168. | 12jul2018 80 |
178. | 22jul2018 61 |
209. | 23aug2018 71 |
215. | 30aug2018 64 |
233. | 17sep2018 634 |
264. | 18oct2018 88 |
268. | 22oct2018 133 |
270. | 24oct2018 89 |
271. | 25oct2018 107 |
272. | 26oct2018 75 |
283. | 06nov2018 63 |
285. | 08nov2018 61 |
289. | 12nov2018 70 |
298. | 21nov2018 109 |
300. | 23nov2018 112 |
305. | 28nov2018 78 |
307. | 30nov2018 71 |
|-------------------|
348. | 10jan2019 177 |
371. | 02feb2019 113 |
373. | 04feb2019 73 |
378. | 09feb2019 106 |
383. | 14feb2019 76 |
384. | 15feb2019 75 |
388. | 19feb2019 90 |
396. | 27feb2019 62 |
398. | 01mar2019 76 |
425. | 28mar2019 180 |
441. | 13apr2019 152 |
457. | 29apr2019 87 |
459. | 01may2019 73 |
475. | 17may2019 70 |
495. | 06jun2019 85 |
496. | 07jun2019 76 |
516. | 27jun2019 62 |
537. | 18jul2019 94 |
544. | 26jul2019 82 |
566. | 17aug2019 197 |
579. | 30aug2019 161 |
608. | 28sep2019 138 |
645. | 04nov2019 199 |
655. | 14nov2019 61 |
656. | 15nov2019 130 |
657. | 16nov2019 88 |
659. | 18nov2019 66 |
670. | 29nov2019 108 |
671. | 30nov2019 68 |
674. | 03dec2019 72 |
675. | 04dec2019 68 |
677. | 06dec2019 138 |
+-------------------+
4. Turkish
variable | N mean sd p50 p25 p75 min max
-------------+--------------------------------------------------------------------------------
merit | 659.0 33.2 74.6 15.0 6.0 33.0 1.0 1434.0
----------------------------------------------------------------------------------------------
. di 33-6
27
. di 27*1.5
40.5
. di 27+40.5
67.5
+-------------------+
| date merit |
|-------------------|
2. | 25jan2018 1434 |
3. | 26jan2018 412 |
4. | 27jan2018 187 |
5. | 28jan2018 197 |
6. | 29jan2018 211 |
7. | 30jan2018 305 |
8. | 31jan2018 129 |
9. | 01feb2018 162 |
10. | 02feb2018 88 |
11. | 03feb2018 164 |
12. | 04feb2018 106 |
13. | 05feb2018 201 |
14. | 06feb2018 84 |
15. | 07feb2018 138 |
16. | 08feb2018 142 |
17. | 09feb2018 407 |
18. | 10feb2018 68 |
19. | 11feb2018 256 |
20. | 12feb2018 110 |
21. | 13feb2018 68 |
23. | 15feb2018 483 |
24. | 16feb2018 165 |
25. | 17feb2018 142 |
26. | 18feb2018 163 |
27. | 19feb2018 70 |
29. | 21feb2018 107 |
31. | 23feb2018 70 |
42. | 06mar2018 76 |
43. | 07mar2018 73 |
45. | 09mar2018 71 |
47. | 11mar2018 89 |
49. | 13mar2018 123 |
51. | 15mar2018 76 |
70. | 03apr2018 70 |
77. | 10apr2018 92 |
96. | 29apr2018 73 |
97. | 30apr2018 88 |
99. | 02may2018 122 |
101. | 04may2018 82 |
105. | 08may2018 111 |
106. | 09may2018 114 |
127. | 30may2018 75 |
132. | 05jun2018 94 |
137. | 10jun2018 75 |
150. | 23jun2018 180 |
152. | 25jun2018 151 |
153. | 26jun2018 116 |
171. | 14jul2018 91 |
185. | 28jul2018 92 |
207. | 21aug2018 124 |
233. | 17sep2018 88 |
234. | 18sep2018 401 |
235. | 19sep2018 89 |
237. | 21sep2018 120 |
242. | 26sep2018 79 |
249. | 03oct2018 78 |
|-------------------|
407. | 22mar2019 86 |
468. | 30may2019 92 |
469. | 31may2019 158 |
470. | 01jun2019 108 |
477. | 08jun2019 91 |
493. | 24jun2019 110 |
497. | 28jun2019 126 |
599. | 12oct2019 87 |
633. | 15nov2019 445 |
634. | 16nov2019 208 |
636. | 18nov2019 157 |
637. | 19nov2019 96 |
641. | 23nov2019 78 |
642. | 24nov2019 108 |
644. | 26nov2019 70 |
647. | 29nov2019 92 |
649. | 01dec2019 130 |
+-------------------+
5. Français
variable | N mean sd p50 p25 p75 min max
-------------+--------------------------------------------------------------------------------
merit | 614.0 13.9 19.8 8.0 3.0 18.0 1.0 192.0
----------------------------------------------------------------------------------------------
. di 18-3
15
. di 15*1.5
22.5
. di 18+22.5
40.5
+-------------------+
| date merit |
|-------------------|
1. | 25jan2018 160 |
2. | 26jan2018 166 |
3. | 27jan2018 131 |
4. | 28jan2018 112 |
5. | 29jan2018 105 |
6. | 30jan2018 192 |
7. | 31jan2018 138 |
8. | 01feb2018 69 |
9. | 02feb2018 69 |
11. | 04feb2018 44 |
17. | 10feb2018 47 |
45. | 10mar2018 50 |
63. | 30mar2018 50 |
68. | 06apr2018 51 |
162. | 21aug2018 71 |
185. | 17sep2018 95 |
218. | 25oct2018 51 |
247. | 23nov2018 45 |
265. | 11dec2018 55 |
278. | 24dec2018 103 |
282. | 28dec2018 42 |
|-------------------|
303. | 18jan2019 46 |
310. | 25jan2019 51 |
314. | 29jan2019 51 |
324. | 08feb2019 45 |
344. | 28feb2019 43 |
345. | 01mar2019 41 |
379. | 05apr2019 45 |
381. | 07apr2019 111 |
382. | 08apr2019 65 |
386. | 12apr2019 43 |
400. | 26apr2019 45 |
414. | 10may2019 41 |
474. | 17jul2019 49 |
584. | 08nov2019 52 |
596. | 22nov2019 49 |
609. | 06dec2019 61 |
+-------------------+
6. Pilipinas
variable | N mean sd p50 p25 p75 min max
-------------+--------------------------------------------------------------------------------
merit | 555.0 11.8 18.9 7.0 3.0 15.0 1.0 331.0
----------------------------------------------------------------------------------------------
. di 15-3
12
. di 12*1.5
18
. di 15 + 18
33
+-------------------+
| date merit |
|-------------------|
2. | 26jan2018 48 |
3. | 27jan2018 46 |
5. | 29jan2018 33 |
6. | 30jan2018 51 |
72. | 08apr2018 52 |
75. | 12apr2018 55 |
85. | 24apr2018 46 |
133. | 19jun2018 64 |
155. | 11jul2018 83 |
|-------------------|
329. | 26apr2019 36 |
347. | 15may2019 61 |
352. | 20may2019 37 |
370. | 07jun2019 40 |
372. | 09jun2019 331 |
375. | 12jun2019 51 |
376. | 13jun2019 40 |
377. | 14jun2019 48 |
378. | 15jun2019 47 |
383. | 20jun2019 34 |
409. | 17jul2019 39 |
413. | 21jul2019 84 |
420. | 28jul2019 36 |
421. | 29jul2019 65 |
441. | 18aug2019 90 |
478. | 26sep2019 92 |
482. | 30sep2019 33 |
483. | 01oct2019 38 |
488. | 06oct2019 61 |
495. | 13oct2019 34 |
497. | 15oct2019 40 |
500. | 18oct2019 41 |
514. | 01nov2019 55 |
520. | 07nov2019 38 |
522. | 09nov2019 33 |
539. | 26nov2019 61 |
540. | 27nov2019 53 |
+-------------------+