🏅 Daily TOP comments(replies) & repliers and stats in the past 7 days (Jul 15 to Jul 21)
Information
Data source: SteemData & steemd
Generation time: 2017-07-23 15:16:12(UTC)
📊 Simple comments(replies) stats in the past 7 days
| Item. | Jul 15 | Jul 16 | Jul 17 | Jul 18 | Jul 19 | Jul 20 | Jul 21 |
|---|---|---|---|---|---|---|---|
Repliers | 8445 | 8119 | 8913 | 8730 | 8604 | 8904 | 9131 |
Comments | 78055 | 70594 | 79130 | 73995 | 72954 | 82989 | 86021 |
Votes | 51001 | 55164 | 53531 | 114370 | 32995 | 39577 | 28131 |
Rewards | 5558 | 4501 | 5056 | 4686 | 4938 | 4138 | 4336 |
Notes
Repliers: Number of unique repliers
Comments: Number of unique comments
Votes: Total net votes on the comments mentioned above.
Rewards: Total rewards (in SBD and rounded) of the comments
🏅 Daily top 30 replies in 2017-07-21 (sorted by rewards)
Notes
Replier: Replier ID
Rewards: Rewards (in SBD) of the corresponding comment
V&R: Total net votes & Total child comments(Replies)
Comment Link: The comment title and its link
🏅 Daily top 30 repliers in 2017-07-21 (sorted by Rewards)
Rank. | Replier | Rep | Rewards | Comments | Votes | Replies |
|---|---|---|---|---|---|---|
1 | @sigizzang | 65.52 | 151.68 | 17 | 19 | 4 |
2 | @onceuponatime | 70.69 | 149.25 | 11 | 45 | 72 |
3 | @mariossap | 55.96 | 78.62 | 13 | 7 | 51 |
4 | @cm-steem | 65.53 | 70.89 | 11 | 26 | 8 |
5 | @dayu | 46.83 | 67.11 | 66 | 0 | 2 |
6 | @stan | 67.66 | 67.10 | 6 | 26 | 27 |
7 | @steemcleaners | 73.41 | 58.34 | 101 | 47 | 22 |
8 | @adsactly | 53.40 | 56.16 | 8 | 45 | 23 |
9 | @damarth | 58.07 | 52.84 | 3 | 4 | 1 |
10 | @eric-boucher | 67.52 | 51.78 | 8 | 11 | 0 |
11 | @michaelx | 58.63 | 48.70 | 4 | 16 | 3 |
12 | @kencode | 69.40 | 37.50 | 9 | 8 | 7 |
13 | @danlupi | 55.47 | 35.32 | 7 | 15 | 9 |
14 | @aluma | 60.34 | 34.60 | 153 | 27 | 5 |
15 | @jejujinfarm | 66.24 | 30.75 | 4 | 4 | 2 |
16 | @surfyogi | 60.85 | 29.80 | 13 | 11 | 8 |
17 | @loveisintheair | 47.22 | 29.16 | 6 | 3 | 3 |
18 | @otisbrown | 62.46 | 29.09 | 11 | 17 | 4 |
19 | @me-tarzan | 68.19 | 27.82 | 16 | 15 | 4 |
20 | @skapaneas | 69.08 | 25.89 | 15 | 7 | 6 |
21 | @fatboy | 50.74 | 25.73 | 6 | 5 | 3 |
22 | @musclenerd | 49.64 | 23.58 | 17 | 34 | 25 |
23 | @cron | 53.59 | 23.52 | 14 | 9 | 8 |
24 | @randowhale | 61.53 | 23.27 | 1030 | 536 | 97 |
25 | @iceburst | 51.56 | 22.96 | 9 | 5 | 3 |
26 | @ctrl-alt-nwo | 54.90 | 22.63 | 25 | 16 | 18 |
27 | @pairmike | 66.23 | 22.37 | 7 | 11 | 4 |
28 | @voghera | 50.54 | 21.20 | 9 | 33 | 14 |
29 | @marco-delsalto | 56.86 | 21.14 | 3 | 9 | 4 |
30 | @craig-grant | 75.01 | 20.47 | 3 | 8 | 3 |
Notes
Replier: Replier ID
Rep: Reputation score
Rewards: Total comments rewards (in SBD) the replier gotten
Comments: Number of comments the replier posted
Votes: Total net votes on the comments mentioned above
Replies: Total child comments on the comments mentioned above.
🏅 Top 30 replies in the past 7 days (sorted by rewards)
Notes
Replier: Replier ID
Rewards: Rewards (in SBD) of the corresponding comment
V&R: Total net votes & Total child comments(Replies)
Comment Link: The comment title and its link
🏅 Top 30 repliers in the past 7 days (sorted by Rewards)
Rank. | Replier | Rep | Rewards | Comments | Votes | Replies |
|---|---|---|---|---|---|---|
1 | @steemcleaners | 73.41 | 905.39 | 792 | 831 | 189 |
2 | @me-tarzan | 68.19 | 776.76 | 94 | 219 | 40 |
3 | @surfyogi | 60.85 | 385.35 | 108 | 124 | 161 |
4 | @aluma | 60.34 | 347.43 | 541 | 407 | 21 |
5 | @onceuponatime | 70.69 | 342.50 | 24 | 153 | 108 |
6 | @sigizzang | 65.52 | 309.37 | 68 | 46 | 28 |
7 | @hardikv | 54.63 | 257.57 | 96 | 107 | 120 |
8 | @cron | 53.59 | 240.94 | 65 | 65 | 35 |
9 | @chud | 54.73 | 234.87 | 67 | 51 | 57 |
10 | @ctrl-alt-nwo | 54.90 | 218.62 | 142 | 252 | 144 |
11 | @truth-revelation | 58.32 | 187.34 | 47 | 54 | 5 |
12 | @andyluy | 57.48 | 146.32 | 485 | 239 | 398 |
13 | @adept | 51.36 | 144.34 | 79 | 123 | 1536 |
14 | @kencode | 69.40 | 140.98 | 36 | 56 | 25 |
15 | @digital-gypsy | 58.05 | 140.06 | 638 | 400 | 329 |
16 | @berniesanders | -10.35 | 137.77 | 20 | 194 | 53 |
17 | @mxzn | 55.03 | 135.14 | 293 | 433 | 197 |
18 | @aleksphoto | 49.02 | 132.02 | 234 | 86831 | 0 |
19 | @cm-steem | 65.53 | 131.25 | 39 | 70 | 39 |
20 | @oceancoinz | 55.71 | 129.80 | 55 | 56 | 41 |
21 | @tard | 52.39 | 128.43 | 355 | 153 | 3 |
22 | @johnsmith | 61.17 | 124.49 | 33 | 96 | 38 |
23 | @danlupi | 55.47 | 123.64 | 38 | 49 | 43 |
24 | @jejujinfarm | 66.24 | 121.35 | 73 | 37 | 52 |
25 | @warn-a-brutha | 48.90 | 114.33 | 38 | 206 | 71 |
26 | @adsactly | 53.40 | 113.60 | 39 | 70 | 44 |
27 | @jrlo | 52.33 | 110.81 | 66 | 163 | 37 |
28 | @abagendo | 54.78 | 108.01 | 14 | 9 | 7 |
29 | @blazing | 52.85 | 106.23 | 924 | 482 | 343 |
30 | @marco-delsalto | 56.86 | 105.49 | 25 | 50 | 30 |
Notes
Replier: Replier ID
Rep: Reputation score
Rewards: Total comments rewards (in SBD) the replier gotten
Comments: Number of comments the replier posted
Votes: Total net votes on the comments mentioned above
Replies: Total child comments on the comments mentioned above.
The report will be updated daily
This is a beta version of the report, and I will continue to improve it.
If you like it, please upvote it and follow me @chinadaily
Thank you very much. 😜
I've always really loved stats and rankings, I hope I can get myself on here one day :)
Interesting and informative post. It would be nice to see some of these variables graphed over time to see how they change with respect to the day of week, or time of each post/comment. Out of curiosity, what programming language/tools did you use to perform this analysis?
Python
Gr