Technical Assignment
Goal & Context: You have been invited to partake in a FIFA World Cup commentary as a subject matter expert, with a specific focus on historical world cup matches. To prepare for this commentary, analyze and draw insights from the provided dataset by answering the questions below.
Data: Previous World-cup matches up to 2014 (Source: FIFA archives). The data contains general world cup information, matches, and players. Part of the assignment is also for you to understand what each column means.
Please answer the following questions preferably using Python or R (otherwise, you may use other programs/software). The dataset may not necessarily be clean; feel free to clean it, stating clearly any operation that you performed to that end.
Questions:
1. Discuss the trend of total goals scored per year, using appropriate plots and statistics, and attempt to forecast the number of goals for 2018, not included in the dataset. How accurate is your model?
2. Pick your own country (or favorite) team and evaluate the trend of wins/loses throughout the World Cups since 1990 using statistics and plots of your choice. How is the team progressing through the years?
3. What are the two teams whose matches have the highest average attendance since 1990? In particular, is the average really a good measure in this case?
4. Who is the most successful coach (in terms of number of victorious matches) throughout the history of World Cups?
5. A common intuition states that a player must necessarily play a lot of games during World Cups to score more goals. Is that really the case? Use plots and statistics to provide a data-driven justification to your answer .
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