Package 'touRnamentofchampions'

Title: Tournament of Champions Data
Description: Several datasets which describe the challenges and results of competitions in Tournament of Champions. This data is useful for practicing data wrangling, graphing, and analyzing how each season of Tournament of Champions played out.
Authors: Levitz Carly [cre, aut]
Maintainer: Levitz Carly <[email protected]>
License: MIT + file LICENSE
Version: 0.1.0
Built: 2025-03-10 05:31:11 UTC
Source: https://github.com/celevitz/tournamentofchampions

Help Index

chefs

Description

A dataset containing information on each Chef, which is the same for all seasons

Usage

data(chefs)

Format

This data frame contains the following columns:

chef

Chef name (full name)

nickname

Guy Fieri's nickname for the chef

handedness

Whether the chef is right-handed, left-handed, or ambidextrous

gender

Whether the chef is male, female, or non-binary

totalseasons

number of seasons appeared in

inqualifiers

number of times they were in the qualifiers at the start of the season

inmainbracket

number of times they were in the main bracket at the start of the season

season1

whether they started in the qualifiers or main bracket in season 1. NA values indicate they were not in season 1.

season2

whether they started in the qualifiers or main bracket in season 2. NA values indicate they were not in season 2.

season3

whether they started in the qualifiers or main bracket in season 3. NA values indicate they were not in season 3.

season4

whether they started in the qualifiers or main bracket in season 4. NA values indicate they were not in season 4.

season5

whether they started in the qualifiers or main bracket in season 5. NA values indicate they were not in season 5.

season6

whether they started in the qualifiers or main bracket in season 6. NA values indicate they were not in season 6.

Source

https://en.wikipedia.org/wiki/Tournament_of_Champions_(TV_series)

Examples

library(tidyverse)
chefs %>%
  filter(gender == "female")

judges

Description

A dataset containing information about who were the judges for each challenge/episode

Usage

data(judges)

Format

This data frame contains the following columns:

season

Season number

episode

Episode number

judge

Name of guest judge

gender

Whether the chef is male, female, or non-binary

round

Stage of the tournament: Qualifier semi-final, Qualifier final, Round of 32, Round of 16, Quarterfinals, Semifinals, Final

Source

https://en.wikipedia.org/wiki/Tournament_of_Champions_(TV_series)

Examples

library(tidyverse)
judges %>%
  filter(judge == "Ming Tsai") %>%
  group_by(season,episode)

randomizer

Description

A dataset containing information about each challenge: protein, vegetables, equipment, style, time

Usage

data(randomizer)

Format

This data frame contains the following columns:

season

Season number

episode

Episode number

round

Stage of the tournament: Qualifier semi-final, Qualifier final, Round of 32, Round of 16, Quarterfinals, Semifinals, Final

challenge

Variable to help distinguish challenges within the same Coast & Round

coast

East or West

region

The region depends on how many chefs start the competition. If there are 16 chefs, then the region is left blank. If there are 32 chefs, then the regions are A or B.

randomizer1

First wheel of randomizer

randomizer2

Second wheel of randomizer

randomizer3

Third wheel of randomizer

randomizer4

Fourth wheel of randomizer

time

Length of challenge. Unit is minutes

randomizer5

Fifth wheel of randomizer

Source

https://en.wikipedia.org/wiki/Tournament_of_Champions_(TV_series)

Examples

library(tidyverse)
randomizer %>%
   group_by(season,episode,challenge,coast) %>%
   filter(round == "Semi-final")

randomizer long form

Description

A dataset containing information about each challenge: protein, vegetables, equipment, style, time However, it's in "long form" so each challenge shows up multiple times It categorizes the randomizer ingredients into categories and subcategories

Usage

data(randomizerlongform)

Format

This data frame contains the following columns:

season

Season number

episode

Episode number

round

Stage of the tournament: Qualifier semi-final, Qualifier final, Round of 32, Round of 16, Quarterfinals, Semifinals, Final

challenge

Variable to help distinguish challenges within the same Coast & Round

coast

East or West

region

The region depends on how many chefs start the competition. If there are 16 chefs, then the region is left blank. If there are 32 chefs, then the regions are A or B.

time

Length of challenge. Unit is minutes

randomizer

What wheel was spun (1, 2, 3, 4, or 5)

value

What was the value/item on the randomizer wheel?

category

Categorical variable: protein,produce,equipment, style,wildcard

subcategory

Subcategories for protein (Beef, Fish, Game, Other, Pork, Poultry, Shellfish) and style (Region/country, Style, Theme)

Source

https://en.wikipedia.org/wiki/Tournament_of_Champions_(TV_series)

Examples

library(tidyverse)
randomizerlongform %>%
   filter(category == "protein") %>%
   group_by(subcategory) %>%
   summarise(n=n())

results

Description

A dataset containing win and loss data for each chef in each episode

Usage

data(results)

Format

This data frame contains the following columns:

season

Season number

episode

Episode number

round

Stage of the tournament: Qualifier semi-final, Qualifier final, Round of 32, Round of 16, Quarterfinals, Semifinals, Final

challenge

Variable to help distinguish rounds within the same Coast & Round

coast

East or West

region

The region depends on how many chefs start the competition. If there are 16 chefs, then the region is left blank. If there are 32 chefs, then the regions are A or B.

chef

Name of chef

commentator

Who presented their food to the judges: Simon Majumdar or Justin Warner? In Qualifying rounds, it could be presented by Hunter Fieri

order

When did their food get presented to the judges: Presented first or Presented second. In Qualifying rounds, it could be presented third or fourth.

score_taste

Score that chef received for the taste of their dish: values of 0- 50

score_randomizer

Score that chef received for how well they used the Randomizer: values of 0- 30. (Except in Season 5 Qualifying rounds, the values are 0-40.)

score_presentation

Score that chef received for the presentation of their dish: values of 0- 20. (Except in Season 5 Qualifying rounds, the values are 0-10.)

total

Total score that chef received: between 0 and 100

winner

Categorical variable: Winner, Loser, Tie

x

Numeric X value to help with visualizing bracket

y

Numeric Y value to help with visualizing bracket

Source

https://en.wikipedia.org/wiki/Tournament_of_Champions_(TV_series)

Examples

library(tidyverse)
results %>%
  group_by(season) %>%
  filter(round == "Final") %>%
  select(chef,season,coast,total)

seeds

Description

A dataset containing game-related information on each Chef for each season.

Usage

data(seeds)

Format

This data frame contains the following columns:

chef

Chef name (full name)

season

Season number

seed

Seed within their section of the bracket: values of 1 through 8. Chefs that played in the qualifiers but didn't make the final bracket will have seeds of 8.2, 8.3, or 8.4.

coast

Are they East or West Coast?

region

The region depends on how many chefs start the competition. If there are 16 chefs, then the region is left blank. If there are 32 chefs, then the regions are A or B.

Source

https://en.wikipedia.org/wiki/Tournament_of_Champions_(TV_series)

Examples

library(tidyverse)
seeds %>%
  filter(season == 1)