View the dashboard here : https://html5.bimeapp.com/EFEx/mercato2013
The transfer window has slammed shut, and after a chaotic final day (and one or two fees still to be confirmed), the BIME Ligue 1 Transfer Dashboard is back! Last season, PSG outspent everybody else, but this summer it was Monaco who stepped up with net spend of c.€160m, almost twice as much as PSG, and who themselves spent nearly double what Marseille managed. Looking at the average deal sizes shows the gulf between the top two and the rest of the league, with their average of €25m over ten times more than that of the others.
Most of this cash went to Italy, Spain, and Portugal, with a massive €236m going on 13 players - Portugal got the best of it with €70m for just two players (James Rodrigues €45m, Joao Moutinho €25m, both to Monaco). The biggest investor in Ligue 1 was, again, the Premiership, splashing out €47.5m on just five players, the biggest move being Mamadou Sakho to Liverpool for an alleged €19m (check out Ukraine though, as Dynamo Kiev aim to get their top-two spot back with some serious spending in France and elsewhere).
The treemaps for 'Overseas Sales' and 'Buying from Abroad' show how colour weighting can be used to add depth the visuals by incorporating a second metric to the view; here, the primary metric is the number of players moving to / from another country, while the colour indicates the money involved in those deals. The 'Sales' treemap (bottom right) shows another way to use colour, to add depth using a second attribute on the frame - here, players' destinations have been colour-coded so those staying in Ligue 1 are blue, and those leaving France are grey.
The 'Player Purchases' breakdown similarly uses color to categorize players by their destination, here breaking out the most active three clubs, Monaco, PSG and Marseille. This also shows off a new feature for managing the order of charts - the value of players tailing off meant a lot of white space on the right of the chart, so what better way to fill it than by placing another chart on top of it to give an overview of total spend! By hiding the header and border of the pie chart, it can 'float' over the column chart to add more detail. This approach can also be used to put headline number KPIs on a breakdown chart, which gets lots of information across efficiently and quickly. In edit mode on a dashboard, use the 'paintroller' and 'order' tools to overlay your charts seamlessly!