Analyzing OngoingWorlds posts
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Jul 15, 2017
β 2 minutes
The previous post used Scrapy to extract post data from the website OngoingWorlds. Here are a few conclusions from that spider crawl:
I collected the game ID, post ID and date/time for each post from the play-by-email roleplaying community OngoingWorlds into an Sqlite3 database. Even with this very limited dataset, some interesting queries can be run:
Most popular games (by number of posts)
Rank | Game | Total posts |
---|---|---|
1 | Blue Dwarf | 15040 |
2 | Hero High | 3453 |
3 | 2778 A.D. | 2894 |
4 | The Land of Ecilith | 2276 |
5 | The Avengers~Lower Levels | 2111 |
6 | Heroes Association | 1288 |
7 | Hunted | 1265 |
8 | Circle of Nine | 1176 |
9 | Fairy Tail ZERO | 1125 |
10 | MLP fans! | 1118 |
Most popular games (per hour of the day)
For easier viewing I exported the result to a CSV spreadsheet, as follows: