A sample query included thanks to @carlgnash for his help with the query.
First you would need to open up a spreadsheet from http://drive.google.com then from there you need to click Add-Ons --> Get Add-Ons then search for an add-on called SeekWell
this add-on is not free and has a fee of only USD19 per month. 14 days trial period You would need to purchase the license as we are using SteemSQL which is a Microsoft SQL Server and not MySQL
Once you've added the add-on. You can now click Add-Ons --> SeekWell --> Launch
You would now be required to put in the credentials of SteemSQL
Thanks to @arcange who has kept SteemSQL consistently up and updated for us to be able to use for analytical purposes.
Lets start with this scenario. We want to do a quick analysis of who has the most pending payouts over the past few days on the tag utopian-io . So copy and paste this query on the query area
select
author,
count(author) as Posts,
sum(net_votes) as Votes,
sum(pending_payout_value) as Pending_Payout,
sum(children) as Comments
from
Comments (NOLOCK)
where
dirty = 'False' and
json_metadata LIKE('%"utopian-io"%') and
parent_author = '' and
datediff(day, created, GETDATE()) between 0 and 7
group by
author
order by
Pending_Payout desc
So now once you've pulled in the data into the spreadsheet you can do whatever you want with it for your analytical purposes. For example thru this query here are the static from what was found for people using the utopian-io tags over the past 7 days
| author | Posts | Votes | Pending_Payout | Comments |
|---|---|---|---|---|
| arcjen02 | 21.00 | 170 | 124.24 | 38 |
| omeratagun | 20.00 | 310 | 442.91 | 79 |
| irfandogan | 20.00 | 285 | 392.36 | 46 |
| nuges | 20.00 | 604 | 272.17 | 100 |
| realinfo | 19.00 | 220 | 383.81 | 82 |
| kalvas | 18.00 | 376 | 480.89 | 69 |
| omersurer | 17.00 | 422 | 346.56 | 66 |
| myjourney | 16.00 | 174 | 308.55 | 31 |
| ranielbrianulan | 16.00 | 308 | 224.90 | 63 |
| by-yesilbag | 15.00 | 293 | 330.64 | 76 |
| drigweeu | 15.00 | 189 | 182.01 | 63 |
| h4ck3rm1k3st33m | 15 | 86 | 83.604 | 41 |
| flauwy | 14.00 | 813 | 551.24 | 219 |
| aymenz | 14.00 | 154 | 190.53 | 71 |
| kizilelma | 13.00 | 150 | 314.19 | 31 |
| guinsoo | 13.00 | 184 | 310.40 | 42 |
| redjepi | 13.00 | 154 | 297.34 | 28 |
| raptorjesus | 13.00 | 107 | 273.52 | 36 |
| anwei | 13.00 | 121 | 271.06 | 35 |
| anggaariska | 13.00 | 204 | 220.56 | 36 |
| ihtiht | 13.00 | 99 | 196.34 | 34 |
| mikekenlytungal | 13.00 | 131 | 131.21 | 38 |
| holabisi | 13.00 | 155 | 121.62 | 60 |
| andravasko | 13.00 | 131 | 104.59 | 23 |
| sametceylan | 12.00 | 175 | 229.94 | 30 |
| kwonn | 12.00 | 169 | 227.10 | 47 |
| gilangarif131294 | 12.00 | 85 | 119.60 | 27 |
| olaivart | 12 | 149 | 34.406 | 90 |
| monomyth | 11.00 | 333 | 276.03 | 35 |