kobe_basket <- structure(list(vs = structure(c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L), .Label = "ORL", class = "factor"), game = c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L), quarter = structure(c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 5L, 5L, 5L, 5L, 5L, 1L, 1L, 1L, 1L, 3L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 5L, 5L, 5L, 5L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 3L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 4L, 4L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 3L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 3L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 5L, 5L, 5L, 5L, 5L, 5L), .Label = c("1", "1OT", "2", "3", "4" ), class = "factor"), time = structure(c(114L, 109L, 102L, 100L, 96L, 85L, 64L, 21L, 11L, 91L, 84L, 77L, 69L, 56L, 48L, 37L, 16L, 13L, 28L, 24L, 22L, 110L, 92L, 73L, 66L, 61L, 54L, 32L, 11L, 93L, 87L, 81L, 47L, 39L, 27L, 74L, 68L, 12L, 35L, 25L, 115L, 112L, 105L, 69L, 64L, 55L, 34L, 18L, 11L, 97L, 79L, 36L, 30L, 65L, 44L, 26L, 104L, 95L, 86L, 75L, 49L, 14L, 79L, 63L, 53L, 43L, 17L, 111L, 99L, 98L, 78L, 20L, 13L, 106L, 99L, 89L, 76L, 72L, 58L, 29L, 65L, 57L, 46L, 38L, 19L, 23L, 116L, 76L, 72L, 60L, 31L, 101L, 93L, 90L, 71L, 15L, 107L, 82L, 44L, 23L, 116L, 108L, 103L, 88L, 67L, 51L, 45L, 42L, 80L, 74L, 70L, 59L, 50L, 40L, 33L, 8L, 7L, 1L, 94L, 52L, 10L, 9L, 4L, 113L, 83L, 34L, 3L, 62L, 58L, 41L, 6L, 5L, 2L ), .Label = c("00:00.0", "00:00.5", "00:01.9", "00:02.2", "00:06.9", "00:23.9", "00:30.0", "00:34.9", "00:41.8", "00:53.7", "0:00", "0:01", "0:04", "0:19", "0:25", "0:38", "0:39", "0:45", "0:47", "0:51", "0:52", "10:14", "11:00", "11:15", "11:18", "11:19", "11:32", "11:44", "1:02", "1:10", "1:13", "1:15", "1:18", "1:20", "1:52", "1:54", "1:55", "1:58", "1:59", "2:00", "2:02", "2:06", "2:08", "2:17", "2:38", "2:49", "2:54", "2:55", "3:02", "3:07", "3:12", "3:13", "3:15", "3:16", "3:29", "3:30", "3:32", "3:33", "3:37", "3:48", "3:55", "3:57", "4:01", "4:07", "4:13", "4:24", "4:26", "4:35", "4:37", "4:42", "4:43", "4:48", "4:58", "5:09", "5:16", "5:20", "5:22", "5:30", "5:37", "5:41", "5:48", "5:52", "5:55", "5:58", "6:01", "6:03", "6:16", "6:22", "6:26", "6:28", "6:35", "6:43", "6:48", "6:55", "7:01", "7:03", "7:09", "7:13", "7:24", "7:41", "7:54", "8:11", "8:18", "8:29", "8:48", "8:52", "9:00", "9:06", "9:07", "9:15", "9:17", "9:23", "9:29", "9:47", "9:52", "9:56"), class = "factor"), description = structure(c(40L, 78L, 75L, 27L, 44L, 78L, 52L, 62L, 79L, 45L, 35L, 22L, 77L, 42L, 23L, 62L, 69L, 44L, 46L, 21L, 54L, 76L, 24L, 58L, 48L, 30L, 42L, 63L, 74L, 57L, 50L, 79L, 54L, 19L, 63L, 33L, 64L, 72L, 39L, 45L, 25L, 28L, 65L, 47L, 75L, 60L, 32L, 67L, 71L, 31L, 52L, 53L, 21L, 65L, 21L, 35L, 62L, 55L, 44L, 76L, 32L, 36L, 64L, 38L, 59L, 63L, 68L, 37L, 63L, 79L, 58L, 68L, 26L, 51L, 36L, 62L, 73L, 21L, 69L, 70L, 20L, 34L, 49L, 61L, 57L, 79L, 32L, 35L, 37L, 67L, 60L, 43L, 52L, 79L, 22L, 66L, 29L, 41L, 57L, 35L, 80L, 56L, 37L, 61L, 69L, 69L, 42L, 54L, 10L, 4L, 12L, 18L, 7L, 8L, 9L, 17L, 1L, 13L, 2L, 6L, 14L, 5L, 13L, 16L, 6L, 3L, 5L, 11L, 16L, 5L, 5L, 5L, 15L), .Label = c("Bryant 3pt Shot: Made (16 PTS) Assist: Bynum (1 AST) ", "Bryant 3pt Shot: Made (20 PTS) ", "Bryant 3pt Shot: Made (26 PTS) ", "Bryant 3pt Shot: Made (5 PTS) ", "Bryant 3pt Shot: Missed ", "Bryant Fade Away Jumper Shot: Missed ", "Bryant Finger Roll Layup Shot: Made (9 PTS) ", "Bryant Jump Shot: Made (11 PTS) ", "Bryant Jump Shot: Made (13 PTS) ", "Bryant Jump Shot: Made (2 PTS) ", "Bryant Jump Shot: Made (28 PTS) ", "Bryant Jump Shot: Made (7 PTS) Assist: Fisher (1 AST) ", "Bryant Jump Shot: Missed ", "Bryant Jump Shot: Missed Block: Howard (1 BLK) ", "Bryant Layup Shot: Made (31 PTS) ", "Bryant Layup Shot: Missed ", "Bryant Layup Shot: Missed Block: Battie (1 BLK) ", "Bryant Reverse Layup Shot: Missed ", "Kobe Bryant makes 10-foot jumper", "Kobe Bryant makes 11-foot jumper", "Kobe Bryant makes 11-foot two point shot", "Kobe Bryant makes 14-foot jumper", "Kobe Bryant makes 14-foot running jumper", "Kobe Bryant makes 14-foot two point shot", "Kobe Bryant makes 15-foot two point shot", "Kobe Bryant makes 16-foot jumper", "Kobe Bryant makes 16-foot jumper (Derek Fisher assists)", "Kobe Bryant makes 16-foot two point shot", "Kobe Bryant makes 17-foot jumper", "Kobe Bryant makes 17-foot running jumper", "Kobe Bryant makes 17-foot two point shot (Pau Gasol assists)", "Kobe Bryant makes 18-foot jumper", "Kobe Bryant makes 18-foot two point shot", "Kobe Bryant makes 19-foot jumper", "Kobe Bryant makes 20-foot jumper", "Kobe Bryant makes 21-foot jumper", "Kobe Bryant makes 25-foot three point jumper", "Kobe Bryant makes 26-foot three point jumper (Trevor Ariza assists)", "Kobe Bryant makes 29-foot three point jumper (Pau Gasol assists)", "Kobe Bryant makes 4-foot two point shot", "Kobe Bryant makes 6-foot running jumper", "Kobe Bryant makes 9-foot two point shot", "Kobe Bryant makes driving dunk", "Kobe Bryant makes driving layup", "Kobe Bryant makes jumper", "Kobe Bryant makes layup", "Kobe Bryant makes slam dunk (Trevor Ariza assists)", "Kobe Bryant makes two point shot", "Kobe Bryant misses 10-foot jumper", "Kobe Bryant misses 11-foot jumper", "Kobe Bryant misses 11-foot two point shot", "Kobe Bryant misses 12-foot jumper", "Kobe Bryant misses 12-foot two point shot", "Kobe Bryant misses 13-foot jumper", "Kobe Bryant misses 13-foot two point shot", "Kobe Bryant misses 14-foot two point shot", "Kobe Bryant misses 15-foot jumper", "Kobe Bryant misses 16-foot jumper", "Kobe Bryant misses 16-foot two point shot", "Kobe Bryant misses 17-foot jumper", "Kobe Bryant misses 18-foot jumper", "Kobe Bryant misses 19-foot jumper", "Kobe Bryant misses 20-foot jumper", "Kobe Bryant misses 21-foot jumper", "Kobe Bryant misses 22-foot jumper", "Kobe Bryant misses 23-foot jumper", "Kobe Bryant misses 25-foot three point jumper", "Kobe Bryant misses 26-foot three point jumper", "Kobe Bryant misses 27-foot three point jumper", "Kobe Bryant misses 28-foot three point jumper", "Kobe Bryant misses 31-foot three point jumper", "Kobe Bryant misses 32-foot three point jumper", "Kobe Bryant misses 5-foot jumper", "Kobe Bryant misses 6-foot running jumper", "Kobe Bryant misses 7-foot jumper", "Kobe Bryant misses 9-foot jumper", "Kobe Bryant misses driving layup", "Kobe Bryant misses jumper", "Kobe Bryant misses layup", "Kobe Bryant misses two point shot"), class = "factor"), shot = c("H", "M", "M", "H", "H", "M", "M", "M", "M", "H", "H", "H", "M", "H", "H", "M", "M", "H", "H", "H", "M", "M", "H", "M", "H", "H", "H", "M", "M", "M", "M", "M", "M", "H", "M", "H", "M", "M", "H", "H", "H", "H", "M", "H", "M", "M", "H", "M", "M", "H", "M", "M", "H", "M", "H", "H", "M", "M", "H", "M", "H", "H", "M", "H", "M", "M", "M", "H", "M", "M", "M", "M", "H", "M", "H", "M", "M", "H", "M", "M", "H", "H", "M", "M", "M", "M", "H", "H", "H", "M", "M", "H", "M", "M", "H", "M", "H", "H", "M", "H", "M", "M", "H", "M", "M", "M", "H", "M", "H", "H", "H", "M", "H", "H", "H", "M", "H", "M", "H", "M", "M", "M", "M", "M", "M", "H", "M", "H", "M", "M", "M", "M", "H")), row.names = c(NA, -133L), class = c("tbl_df", "tbl", "data.frame"))