In this project, we will be looking at FIFA's player data, which contains information such as personal details, wages, physical attributes, technical skills, potential, and positional strengths. This is preliminary data of FIFA 2018.
2. Interpret the age after which a player stops improving.
3. Which type of offensive player tends to get paid the most: the striker, the right-winger, or the left-winger? Visualize through a scatter plot for all three.
4. Top 5 players for every preferred position in terms of overall as well as potential points. Who was the best in 2018? 5. Which club(s) has the maximum share of players from England? Which club(s) has the maximum share of players from Spain? Which club(s) have the maximum share of players from Germany?
6. As a National coach of the France team, you want to compare the national team of England, Spain, Italy, and Germany to understand the competition. The formation of the teams is restricted to 4-3-3 (4 defenders, 3 midfielders, 3 forwards, 1 Goal Keeper) and players with an overall value of more than 75 are preferred, now form the best team for each of the mentioned countries and compare them. Note down all the insights that you as a business analyst should share with the coach.
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