Big Data and JS: predicted World Cup Championship in Brazil in 2014

Code: http://www.zuidaima.com/share/1855841547176960.htm

Original article: Big Data and JS: predicted World Cup Championship in Brazil in 2014

The four-year fans carnival is approaching, and the top 32 are ready. Starting in June 13, this will bring a top-level football feast to fans all over the world.

Since the top 32 groups, the predictions on the winning and losing of each team have never been stopped. Even the author of a brief history of time and the world-renowned physicist Hawking have used scientific formulas to predict the factors England needs to win in the 2014 World Cup.

Andrew Yuan, a developer, uses big data and front-end technologies to create a prediction information diagram,Let's see how likely your team will be to win the championship? (Football is round and everything is possible. This article is not responsible for this data ).

Demo address: http://andrewyuan.github.io/EDAV-project.html

Place the cursor over a node, country name, or map area in the figure. The picture on the left shows the chance that the national team will win in each round of the World Cup.
Implementation Method of this project: 

• Data collection: FIFA official Match scores since 1930, ranking of 1993 different countries since 215, and Google map data of 32 countries
• Summarize CSV format data and convert it to JSON format
• Calculate probability using various formulas
• Visualize results using D3.js

Implementation Method: Http://andrewyuan.github.io/methodology.html (view with arrow keys)
Project source code:Https://github.com/andrewyuan/andrewyuan.github.io/blob/master/EDAV-project.html

Original article: http://www.iteye.com/news/29083

Official verification:

This author is very creative. The German team I support has a 7.5% chance of winning the championship. What kind of team do you like?