BitBlender Overview (from 28/1/2019 to 20/5/2019)
17 weeks in total so far
Converted dataset from the spreadsheet:. list, abb(30)
+------------------------------------------------------------------------------------------------+
| id week postcount btcpaid day month2 year date week2 month quarter |
|------------------------------------------------------------------------------------------------|
1. | 1 1 990 .2357 28 1 2019 28jan2019 2019w4 2019m1 2019q1 |
2. | 2 2 1223 .2744 4 2 2019 04feb2019 2019w5 2019m2 2019q1 |
3. | 3 3 1095 .25375 11 2 2019 11feb2019 2019w6 2019m2 2019q1 |
4. | 4 4 1182 .2683 18 2 2019 18feb2019 2019w7 2019m2 2019q1 |
5. | 5 5 1218 .28605 25 2 2019 25feb2019 2019w8 2019m2 2019q1 |
|------------------------------------------------------------------------------------------------|
6. | 6 6 1079 .2529 4 3 2019 04mar2019 2019w9 2019m3 2019q1 |
7. | 7 7 1200 .2843 11 3 2019 11mar2019 2019w10 2019m3 2019q1 |
8. | 8 8 1260 .30185 18 3 2019 18mar2019 2019w11 2019m3 2019q1 |
9. | 9 9 1233 .2899 25 3 2019 25mar2019 2019w12 2019m3 2019q1 |
10. | 10 10 1258 .3021 1 4 2019 01apr2019 2019w13 2019m4 2019q2 |
|------------------------------------------------------------------------------------------------|
11. | 11 11 1279 .3036 8 4 2019 08apr2019 2019w14 2019m4 2019q2 |
12. | 12 12 1262 .3132 15 4 2019 15apr2019 2019w15 2019m4 2019q2 |
13. | 13 13 1169 .28915 22 4 2019 22apr2019 2019w16 2019m4 2019q2 |
14. | 14 14 1233 .30635 29 4 2019 29apr2019 2019w17 2019m4 2019q2 |
15. | 15 15 1174 .29095 6 5 2019 06may2019 2019w18 2019m5 2019q2 |
|------------------------------------------------------------------------------------------------|
16. | 16 16 1310 .32685 13 5 2019 13may2019 2019w19 2019m5 2019q2 |
17. | 17 17 1247 .30695 20 5 2019 20may2019 2019w20 2019m5 2019q2 |
+------------------------------------------------------------------------------------------------+
Time series plots: Statistics:- Postcount: 50% of observed weeks have total postcounts above 1223, whilst 50% of rest weeks have total postcounts below 1223, the median (p50). The mean and standard deviation are 1201 and 81.4, respectively. Min and max are 990 and 1310, respectively. 50% of total weeks have total postcouns in the range from 1174 to 1258 (the interquartile range that lasts from p25 to p75)
- BTC paid: 50% of observed weeks have total BTC paid above 0.29, whilst 50% of rest weeks have total BTC paid below 0.29, the median (p50). The mean and standard deviation are 0.287 and 0.024, respectively. Min and max aare 0.2357 and 0.3269, respectively. 50% of total weeks have total BTC-paid in the range from 0.274 to 0.304 (the interquartile range that lasts from p25 to p75)
. tabstat postcount btcpaid, s(n mean sd p50 p25 p75 min max) c(s)
variable | N mean sd p50 p25 p75 min max
-------------+--------------------------------------------------------------------------------
postcount | 17 1200.706 81.43538 1223 1174 1258 990 1310
btcpaid | 17 .2874294 .0239963 .2899 .2744 .3036 .2357 .32685
----------------------------------------------------------------------------------------------
Top highest weeks in:Postcount. list id week postcount day month2 year date week2 month quarter, abb(30)
+--------------------------------------------------------------------------------------+
| id week postcount day month2 year date week2 month quarter |
|--------------------------------------------------------------------------------------|
1. | 16 16 1310 13 5 2019 13may2019 2019w19 2019m5 2019q2 |
2. | 11 11 1279 8 4 2019 08apr2019 2019w14 2019m4 2019q2 |
3. | 12 12 1262 15 4 2019 15apr2019 2019w15 2019m4 2019q2 |
4. | 8 8 1260 18 3 2019 18mar2019 2019w11 2019m3 2019q1 |
5. | 10 10 1258 1 4 2019 01apr2019 2019w13 2019m4 2019q2 |
|--------------------------------------------------------------------------------------|
6. | 17 17 1247 20 5 2019 20may2019 2019w20 2019m5 2019q2 |
7. | 14 14 1233 29 4 2019 29apr2019 2019w17 2019m4 2019q2 |
8. | 9 9 1233 25 3 2019 25mar2019 2019w12 2019m3 2019q1 |
9. | 2 2 1223 4 2 2019 04feb2019 2019w5 2019m2 2019q1 |
10. | 5 5 1218 25 2 2019 25feb2019 2019w8 2019m2 2019q1 |
|--------------------------------------------------------------------------------------|
11. | 7 7 1200 11 3 2019 11mar2019 2019w10 2019m3 2019q1 |
12. | 4 4 1182 18 2 2019 18feb2019 2019w7 2019m2 2019q1 |
13. | 15 15 1174 6 5 2019 06may2019 2019w18 2019m5 2019q2 |
14. | 13 13 1169 22 4 2019 22apr2019 2019w16 2019m4 2019q2 |
15. | 3 3 1095 11 2 2019 11feb2019 2019w6 2019m2 2019q1 |
|--------------------------------------------------------------------------------------|
16. | 6 6 1079 4 3 2019 04mar2019 2019w9 2019m3 2019q1 |
17. | 1 1 990 28 1 2019 28jan2019 2019w4 2019m1 2019q1 |
+--------------------------------------------------------------------------------------+
BTC paid. list id week btcpaid day month2 year date week2 month quarter, abb(30)
+------------------------------------------------------------------------------------+
| id week btcpaid day month2 year date week2 month quarter |
|------------------------------------------------------------------------------------|
1. | 16 16 .32685 13 5 2019 13may2019 2019w19 2019m5 2019q2 |
2. | 12 12 .3132 15 4 2019 15apr2019 2019w15 2019m4 2019q2 |
3. | 17 17 .30695 20 5 2019 20may2019 2019w20 2019m5 2019q2 |
4. | 14 14 .30635 29 4 2019 29apr2019 2019w17 2019m4 2019q2 |
5. | 11 11 .3036 8 4 2019 08apr2019 2019w14 2019m4 2019q2 |
|------------------------------------------------------------------------------------|
6. | 10 10 .3021 1 4 2019 01apr2019 2019w13 2019m4 2019q2 |
7. | 8 8 .30185 18 3 2019 18mar2019 2019w11 2019m3 2019q1 |
8. | 15 15 .29095 6 5 2019 06may2019 2019w18 2019m5 2019q2 |
9. | 9 9 .2899 25 3 2019 25mar2019 2019w12 2019m3 2019q1 |
10. | 13 13 .28915 22 4 2019 22apr2019 2019w16 2019m4 2019q2 |
|------------------------------------------------------------------------------------|
11. | 5 5 .28605 25 2 2019 25feb2019 2019w8 2019m2 2019q1 |
12. | 7 7 .2843 11 3 2019 11mar2019 2019w10 2019m3 2019q1 |
13. | 2 2 .2744 4 2 2019 04feb2019 2019w5 2019m2 2019q1 |
14. | 4 4 .2683 18 2 2019 18feb2019 2019w7 2019m2 2019q1 |
15. | 3 3 .25375 11 2 2019 11feb2019 2019w6 2019m2 2019q1 |
|------------------------------------------------------------------------------------|
16. | 6 6 .2529 4 3 2019 04mar2019 2019w9 2019m3 2019q1 |
17. | 1 1 .2357 28 1 2019 28jan2019 2019w4 2019m1 2019q1 |
+------------------------------------------------------------------------------------+