Big Data and JS Implementation 2014 Brazil World Cup champion forecast chart

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

Original: Big Data and JS Implementation 2014 Brazil World Cup championship forecast

The four-year-old fans carnival is coming, the top 32 is ready, and June 13 will be the beginning of the world's fans to bring the best football feast.

Since the 32 strong group, the predictions about the outcome of each team have never stopped. Even the author of a Brief History of time, a world-famous physicist, Hawking, has predicted the elements that England will need to win the 2014 World Cup in a scientific formula.

developer Andrew Yuan a predictive infographic using big data and front-end technology to see what odds your team will win? (Football is round, everything is possible, this article is not responsible for this data).

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

The mouse is placed on a node, country name, map area, and the left image shows the odds of the national team winning the World Cup races.
how this project is implemented:

• Collect data: Fifa official score since 1930, rankings from 215 different countries since 1993, Google Maps data for 32 countries
• Summarize CSV format data into JSON format
• Calculate probabilities by various formulas
• Visualize results using D3.js

specific Implementation : Http://andrewyuan.github.io/methodology.html (using the arrow keys to view)
Project Source:https://github.com/andrewyuan/andrewyuan.github.io/blob/master/EDAV-project.html

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

Official verification:

The author is very creative, I support the German team to win the last chance 7.5%, how much do you like the team?