hey,

i wanted to get a little bit in touch with some graph visualization and decided id work on some mtg related stuff, in short i did the following:

- got 2750 decklists of legacy winning decks in the period between 15Jul2018 and 07Feb2019
- calculated a "synergy" value between all of those cards
- calculated a gradient of how each card saw its meta share increase or decline since the first results after the ban up to today. So if on day 1 (after ban) some new cards or decks were tried but it didnt work out longterm the gradient is negative, if some card increased its share or made it newly into the format the gradient is positive. If the card wasnt really affected at all longterm then the gradient is close to 0
- caluclated the individual meta share of each card
- and finally created a graph out of it. Imagine it like a simulation where each card is represented by a bubble and those bubbles have springs between them according to their relationship to each other. The size of the bubble stands for the meta share and the color indicates if there is an down, or uptrend for this specific card.

Why all this? As David Kriesel (some Data analyst) said: the eyes are the broadband connection to the brain! :)

I have explored it to some degree and made found some interesting details. But im gonna leave the interpretation to you guys and hope this can lead to some discussion afterall

Download as SVG File (8mb): https://drive.google.com/open?id=19J...RbaB737hVla_NT
Download as PNG file (25000px x 25000px 50mb): https://drive.google.com/open?id=1tD...s_CyGX-uBO4B9p

And a preview what it looks like:



If there are any questions feel free to ask!