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Visual League

In this project we collected game data of League of Legend and use D3.js to visualize it.
Besides, we analysised relation between champions, including threat level and teamwork level.The result was also visualized and you can view it in our demo site.

Data Source:

Collecting Data

You can use grabber.py to collect data from Riot Game API yourself, but remember to setup mongoDB on localhost first, and you should have Riot Game API key and set it in config.json.

If grabber.py doesn't start to download data, please change summonerSeed value in config.json, it should be a summoner ID, and you can search summoner ID through summoner name with Riot Game API too.

Data Summary

conlude.py and relation.py summarize data from mongoDB, and output JSON file in public/data.

Demo Site:

http://esp10mm.github.io/VisualLeague/