This data set contains information about the teams who played in the NBA Finals from 1950 - 2022.
Format
A data frame with 73 rows and 9 variables:
- year
The year in which the Finals took place.
- winner
The team who won the series.
- western_wins
Number of series wins by the Western Conference Champions.
- eastern_wins
Number of series wins by the Eastern Conference Champions.
- western_champions
Team that won the Western Conference title and played in the Finals.
- eastern_champions
Team that won the Eastern Conference title and played in the Finals.
- western_coach
Coach of the Western Conference champions.
- eastern_coach
Coach of the Eastern Conference champions.
- home_court
Which conference held home court advantage for the series.
Examples
library(dplyr)
library(ggplot2)
library(tidyr)
# Top 5 Appearing Coaches
nba_finals %>%
pivot_longer(
cols = c("western_coach", "eastern_coach"),
names_to = "conference", values_to = "coach"
) %>%
count(coach) %>%
arrange(-n) %>%
slice_head(n = 5)
#> # A tibble: 5 × 2
#> coach n
#> <chr> <int>
#> 1 Red Auerbach 10
#> 2 Pat Riley 9
#> 3 Phil Jackson 7
#> 4 Gregg Popovich 6
#> 5 Phil Jackon 6
# Top 5 Winning Coaches
nba_finals %>%
mutate(winning_coach = case_when(
western_wins == 4 ~ western_coach,
eastern_wins == 4 ~ eastern_coach
)) %>%
count(winning_coach) %>%
arrange(-n) %>%
slice_head(n = 5)
#> # A tibble: 5 × 2
#> winning_coach n
#> <chr> <int>
#> 1 Red Auerbach 9
#> 2 Phil Jackon 6
#> 3 Gregg Popovich 5
#> 4 Pat Riley 5
#> 5 Phil Jackson 5