NBA = read.csv("NBA_train.csv")
str(NBA)
'data.frame':   835 obs. of  20 variables:
 $ SeasonEnd: int  1980 1980 1980 1980 1980 1980 1980 1980 1980 1980 ...
 $ Team     : chr  "Atlanta Hawks" "Boston Celtics" "Chicago Bulls" "Cleveland Cavaliers" ...
 $ Playoffs : int  1 1 0 0 0 0 0 1 0 1 ...
 $ W        : int  50 61 30 37 30 16 24 41 37 47 ...
 $ PTS      : int  8573 9303 8813 9360 8878 8933 8493 9084 9119 8860 ...
 $ oppPTS   : int  8334 8664 9035 9332 9240 9609 8853 9070 9176 8603 ...
 $ FG       : int  3261 3617 3362 3811 3462 3643 3527 3599 3639 3582 ...
 $ FGA      : int  7027 7387 6943 8041 7470 7596 7318 7496 7689 7489 ...
 $ X2P      : int  3248 3455 3292 3775 3379 3586 3500 3495 3551 3557 ...
 $ X2PA     : int  6952 6965 6668 7854 7215 7377 7197 7117 7375 7375 ...
 $ X3P      : int  13 162 70 36 83 57 27 104 88 25 ...
 $ X3PA     : int  75 422 275 187 255 219 121 379 314 114 ...
 $ FT       : int  2038 1907 2019 1702 1871 1590 1412 1782 1753 1671 ...
 $ FTA      : int  2645 2449 2592 2205 2539 2149 1914 2326 2333 2250 ...
 $ ORB      : int  1369 1227 1115 1307 1311 1226 1155 1394 1398 1187 ...
 $ DRB      : int  2406 2457 2465 2381 2524 2415 2437 2217 2326 2429 ...
 $ AST      : int  1913 2198 2152 2108 2079 1950 2028 2149 2148 2123 ...
 $ STL      : int  782 809 704 764 746 783 779 782 900 863 ...
 $ BLK      : int  539 308 392 342 404 562 339 373 530 356 ...
 $ TOV      : int  1495 1539 1684 1370 1533 1742 1492 1565 1517 1439 ...
# Vectors
made <- c(4, 5, 3, 6, 7)
attempted <- c(9, 10, 8, 11, 12)
# Calculate shooting percentage per game
percentage <- (made / attempted) * 100
# Print individual percentages
print(percentage)
[1] 44.44444 50.00000 37.50000 54.54545 58.33333
# Calculate average shooting percentage over five games
average_percentage <- mean(percentage)

# Print average
print(average_percentage)
[1] 48.96465

#The average three-point shooting percentage over the five games is approximately 48.96%.

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