Playing a little bit!
Notes:- prep: percent of change in rep (replies) between two continuous months.
- pview: percent of change in total views (views) between two continuous months.
- ppages: percent of change in total pages (pages) between two continuous months.
- pbtc: percent of change in BTC price (btc) between two continuous months.
Assumptions:Statistics are for first days of months.. list id day month2 year date rep repchange views pages btc prep pview ppages pbtc, abb(30)
+-----------------------------------------------------------------------------------------------------------------------+
| id day month2 year date rep repchange views pages btc prep pview ppages pbtc |
|-----------------------------------------------------------------------------------------------------------------------|
1. | 1 1 1 2019 01jan2019 452916 6406 21006158 22563 3459 . . . . |
2. | 2 1 2 2019 01feb2019 459605 6689 21042628 22974 3901 1.48 .17 1.82 12.78 |
3. | 3 1 3 2019 01mar2019 465823 6218 21079099 23292 4103 1.35 .17 1.38 5.18 |
4. | 4 1 4 2019 01apr2019 473225 7402 21133357 23662 5270 1.59 .26 1.59 28.44 |
5. | 5 1 5 2019 01may2019 480783 7558 21193583 24040 8501 1.6 .28 1.6 61.31 |
|-----------------------------------------------------------------------------------------------------------------------|
6. | 6 1 6 2019 01jun2019 488192 7409 21256108 24410 11262 1.54 .3 1.54 32.48 |
7. | 7 1 7 2019 01jul2019 493567 5375 21307690 24679 10052 1.1 .24 1.1 -10.74 |
+-----------------------------------------------------------------------------------------------------------------------+
Percents of changes between months are nearly the same for total replies; total pages that likely fluctuated between 1 percent to nearly 1.9 percent.
Percents of changes between months for total views are significantly lower for total views; all months have figures below 1 percent, ranges from 0.17% to 0.3%.
Within same seven-month period, the percents of changes between months for BTC price have min and max at -10.7% and 61.3%, respectively.
It is more interesting if dataset is available for more past months (in 2018, 2017 or longer).