Data Journalism and Football Transfer Windows

January is one of the biggest months for the football world. Fans see it as a time to act as managers over endless discussions about who should be at their club i.e. who should come, and who should leave. There is continuous media coverage on sports websites, particularly Sky Sports with their rolling coverage of transfers.
There are over 20 clubs in 5 different leagues in English football, plus dozens more clubs in the Scottish leagues, not to mention all the other hundreds of clubs in the European leagues, e.g. Spanish and Italian leagues.

It’s all very well talking, listening and speculating about who will go where, but with tons of information to take in, how can someone possibly see the activity that goes on in the busy trading market of players for the month and how are clubs affected by it? – One new way to analyse such data is through visualisation.

At the end of January, the Telegraph simply made a list of premiership clubs and who came in and who left. Although the information is there, it looks quite boring (typical data). So how can data jazz up the results of an already exciting month to show something useful How about, for example, showing how much clubs have spent on players? What was the value of British born players on the football market in the last transfer window? How much have clubs spent over the last few years?

The graph shows that this year, more British players moved clubs during the January transfer window than in the past 5 years.

For more on this, access the article from Prozone by clicking here.

This entry was posted in Aesthetics, Visualization Experiment and tagged , , , , , , . Bookmark the permalink.

3 Responses to Data Journalism and Football Transfer Windows

  1. Pingback: links for 2011-03-30 « Onlinejournalismtest's Blog

  2. Where’s the link to the original data? Would be really useful to users.

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