nandinikeremegaladhoddishivalingaiah / fifa_2019_eda

Analyzing the FIFA_2019 Data

1. Importing the Basic Libraries

2. Reading the Data

3. Analyzing the Data

• Checking the first 5 rows and columns
• Checking for Null values
• Describing the data
• Getting the Data Information

4. Data Cleaning

• Filling the missing values

5. Data Wrangling

6. Visualizing each Players

7. Finding the most preferred foot by the players

8. Finding the International Reputation and visualizing through Pie chart

9. Visualizing the week foot of the players through Pie chart

10. Comparision of different positions acquired by the players

The top three positions prefered by majority of the players are ST, GK and CB, then followed by CM, LB, RB, LM, RM, CAM and CDM when compared to other positions.

11. Comparing the wages of Players

12. Count of players on the basis of their skill moves

13. Count of players on the basis of the Height

14. Different body weights of the players particing in FIFA 2019

15. Different work rates of the players participating in the FIFA 2019

16. Visualizing the Speciality Score of the players participating in the FIFA 2019 through histogram

17. Visualizing the potential Scores of the players participating in the FIFA 2019 through histogram

18. Visualizing Overall Scores of the players

19. Visualizing the different nations participating in FIFA 2019

20. Number of Players vs Players age

21. Comparision of different body types

22. Comparision of Overall Scores and age WRT prefered foot

23. Bubble plot to compare the International reputation and the overall ratings

24. Plotting a correlation heatmap

25. Best Players per each position with their age, club, and nationality based on their Overall Scores

26. Best Players from each positions with their age, nationality, club based on their Potential Scores

28. Distribution of weight of players from different countries

29. Distribution of overall scores of players from different countries

30. Distribution of wages of players from different countries

31. Distribution of International Reputation of players from different countries

32. Distribution of Overall Score in different popular clubs

33. Distribution of Ages in some popular clubs

34. Distribution of Wages in some popular clubs

35. Distribution of International reputation in some popular clubs

36. Finding 15 youngest Players from the FIFA 2019

37. Finding the 15 Eldest Players from FIFA 2019

38. Fiding the players eho has longest membership in the club

39. Defining the features of players

40. Finding the Top 10 left footed footballers

41. Finding the Top 10 Right footed footballers

42. Comparing the performance of left-footed and right-footrd footballers

43. Clubs with highest number of different countries