Combine goals (type == “penalty”) with shootouts from matches .

library(dplyr) # Query disciplinary records alongside player details player_cards <- bookings %>% left_join(players, by = "player_id") %>% left_join(matches, by = "match_id") %>% group_by(player_name, team_name) %>% summarize( yellow_cards = sum(card_color == "yellow"), red_cards = sum(card_color == "red"), .groups = "drop" ) %>% arrange(desc(red_cards), desc(yellow_cards)) head(player_cards, 10) Use code with caution. Data Visualization Workflow

The package is primarily hosted on GitHub. You can install it directly using devtools :

# View the results team_goals

Here's an example:

: Comprehensive group stage tables tracking points, goal differentials, and goal metrics. 3. Squad and Player Entities

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Jfjelstul Worldcup R Package

Combine goals (type == “penalty”) with shootouts from matches .

library(dplyr) # Query disciplinary records alongside player details player_cards <- bookings %>% left_join(players, by = "player_id") %>% left_join(matches, by = "match_id") %>% group_by(player_name, team_name) %>% summarize( yellow_cards = sum(card_color == "yellow"), red_cards = sum(card_color == "red"), .groups = "drop" ) %>% arrange(desc(red_cards), desc(yellow_cards)) head(player_cards, 10) Use code with caution. Data Visualization Workflow jfjelstul worldcup r package

The package is primarily hosted on GitHub. You can install it directly using devtools : Combine goals (type == “penalty”) with shootouts from

# View the results team_goals

Here's an example:

: Comprehensive group stage tables tracking points, goal differentials, and goal metrics. 3. Squad and Player Entities by = "player_id") %>% left_join(matches