Skip to contents

Each episodes' statistics. This dataset is made by collapsing challenges by series and episode.

Usage

episodes

Format

A data frame with 94 rows representing individual episodes per series and 10 variables:

series

An integer denoting UK series (1-10).

episode

An integer denoting episode number within a series.

bakers_appeared

an integer denoting the number of bakers who appeared in a given episode.

bakers_out

An integer denoting the number of bakers were either eliminated, left at will, or left due to illness in that episode.

bakers_remaining

An integer denoting the number of bakers who remained at the end of a given episode.

star_bakers

An integer denoting the number of bakers crowned Star Baker in a given episode.

technical_winners

An integer denoting the number of bakers who placed first in the technical challenge.

sb_name

A character string with the names of the bakers who won Star Baker in a given episode, separated by commas.

winner_name

A character string with the name of the series winner. Only present for final episodes within each series.

eliminated

A character string with the name of the bakers who left a given episode, separated by commas.

Examples

if (require('tibble')) {
  episodes
 }
#> # A tibble: 94 × 10
#>    series episode bakers_appea…¹ baker…² baker…³ star_…⁴ techn…⁵ sb_name winne…⁶
#>     <dbl>   <dbl>          <int>   <int>   <int>   <int>   <int> <chr>   <chr>  
#>  1      1       1             10       2       8       0       1 NA      NA     
#>  2      1       2              8       2       6       0       1 NA      NA     
#>  3      1       3              6       1       5       0       1 NA      NA     
#>  4      1       4              5       1       4       0       1 NA      NA     
#>  5      1       5              4       1       3       0       1 NA      NA     
#>  6      1       6              3       0       3       0       0 NA      Edd    
#>  7      2       1             12       1      11       1       1 Holly   NA     
#>  8      2       2             11       1      10       1       1 Jason   NA     
#>  9      2       3             10       2       8       1       1 Yasmin  NA     
#> 10      2       4              8       1       7       2       1 Holly,… NA     
#> # … with 84 more rows, 1 more variable: eliminated <chr>, and abbreviated
#> #   variable names ¹​bakers_appeared, ²​bakers_out, ³​bakers_remaining,
#> #   ⁴​star_bakers, ⁵​technical_winners, ⁶​winner_name
head(episodes)
#> # A tibble: 6 × 10
#>   series episode baker…¹ baker…² baker…³ star_…⁴ techn…⁵ sb_name winne…⁶ elimi…⁷
#>    <dbl>   <dbl>   <int>   <int>   <int>   <int>   <int> <chr>   <chr>   <chr>  
#> 1      1       1      10       2       8       0       1 NA      NA      Lea, M…
#> 2      1       2       8       2       6       0       1 NA      NA      Anneth…
#> 3      1       3       6       1       5       0       1 NA      NA      Jonath…
#> 4      1       4       5       1       4       0       1 NA      NA      David  
#> 5      1       5       4       1       3       0       1 NA      NA      Jasmin…
#> 6      1       6       3       0       3       0       0 NA      Edd     NA     
#> # … with abbreviated variable names ¹​bakers_appeared, ²​bakers_out,
#> #   ³​bakers_remaining, ⁴​star_bakers, ⁵​technical_winners, ⁶​winner_name,
#> #   ⁷​eliminated