2014 World Cup Championship forecast (based on large data and JS)

The four-year fan carnival is coming, the top 32 is ready, and June 13 will be a great football feast for the world's fans.

Since the 32 group, the predictions about the outcome of the teams have never stopped. Even the author of a Brief History of time, the world's physicist Stephen Hawking, has passed scientific formulas predicting what the England team needs to do to win the 2014 World Cup.

Developer Andrew Yuan made a prediction map using big Data and http://www.aliyun.com/zixun/aggregation/10152.html "> front-end technology to see what your team's chances are? (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 chances of the national team winning the World Cup round.

How the project is implemented:

Data collection: The FIFA official tournament score since 1930, the rankings of 215 different countries since 1993, and the Google map data of 32 countries

Summarize CSV format data into JSON format

Calculate probabilities by various formulas

Visualization of 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