Difference between revisions of "ISSS608 2016 17T1 Group14 Proposal"
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| − | There are | + | There are few sources used for this project. The final dataset is combined from these various sources. |
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http://www.football-data.co.uk/data.php | http://www.football-data.co.uk/data.php | ||
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| + | The dataset consist of the following fields: | ||
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= Challenges = | = Challenges = | ||
Revision as of 15:44, 24 November 2016
Motivation
Nowadays, with the rapid development of technology, people are becoming more reluctant to do outdoor activities such as sport. There are many types of sports that can be done. One of the most popular sports worldwide is football. Football can be considered as the most favourite sport in the world, especially in Europe. The motivation of this project is to discover interesting findings about the top 4 leagues in Europe. (England, Spain, Italy, Germany).
Background
Football is one of the most popular sports in the world, especially in Europe. In order to provide useful findings and insights, data visualization is used to answer these questions:
- How is the performance of the teams in top 4 leagues in Europe in the first 10 matches last season (2015/2016) compared to this season (2016/2017)?
- How is the composition of Half Time Result and Full Time Result of the team in the selected league?
Data Source
There are few sources used for this project. The final dataset is combined from these various sources.
http://www.football-data.co.uk/data.php
https://www.premierleague.com/tables
http://www.legaseriea.it/en/serie-a-tim/league-table
http://www.laliga.es/en/laliga-santander
http://www.bundesliga.com/en/stats/table/
The dataset consist of the following fields:
Challenges
- I
- M
- T
