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Statistics-of-NBA-players-using-Data-Mining

We will use the NBA data from 1950 to 2015 to analyze the performance of any individual or the team. The data has details like a number of teams, the number of players in each team in a different year, age, and physical measures of players, etc. We will make a machine learning model analyze the data and visualize in a simple format so that NBA committees can understand different aspects like which team performed best and how many players are there in that team plus the physical measures of that players during that event etc. so with the derived data, they can make an informed decision to improve the team performance.

  1. screenshot of BMI data:- it can be shown that in average 24 BMI considered to be best in NBA.

  1. screenshot of height distribution by position :- we can see that for center(C) position player with height 210 cm considered best, Point Forward(PF) position player with height 205 cm considered best, shooting forward(SF) position player with height 200 cm considered best, shooting guard(SG) position player with height 195 cm considered best, point guard (PG) position player with height 190 cm considered best.

  1. screenshot of number of NBA player by year :- we can see in starting year there was less number of player participated in the NBA but after 1980 the number constantly increasing.

  1. screenshot of number of NBA player by year:- It follows the same trend as the above. In average, around 21 teams participated in the NBA since 1950 to 2010.

  1. screenshot of player distribution by number of season:- From the graph, we can visualize that each player played in 5 NBA seasons in general.

  1. screenshot of comparing height of American and NBA player :- As you see in the graph, the average height of an American is lower than the NBA players. NBA players has quite high heights than an American. Average height of NBA players is: 199.6 cm while an American has 177 cm. .

  2. screenshot of Hit/Missed shoots by position:- This graph is for Hit/Miss graph by each position.The opacity part shows the miss and the darker part shows Hit. Most points are hit at the SG position

  1. screenshot of annual Team scores per Game :- FT : (Free Throw) for each successful FT throw, the player scores 1 point. FG : (Field Goal) for each FG successfully made from within the three-point line, the player scores 2 point. FG3: (Field Goal) for each FG successfully made from beyond three-poiHnt line, the player scores 3 point. Average team score per game across the game is 101.55. As per the graph, scoring the FG3 is been increasing than FT.