error = function(e) {
# handle the error
print(paste("An error occurred:", e$message))
})
data$shot <- data$shot %>% select(-freeze_frame, -statsbomb_xg, -key_pass_id)
data$shot$body_part <- data$shot$body_part %>% select(-id)
data$shot$technique <- data$shot$technique %>% select(-id)
data$shot$type <- data$shot$type %>% select(-id)
data$position <- data$position %>% select(-id)
data$shot <- data$shot %>% select(-end_location)
tryCatch({ # TODO reduce error cases
if ("one_on_one" %in% colnames(data$shot)) {
data[is.na(data$shot$one_on_one), ]$shot$one_on_one <- FALSE
} else {
data$shot$one_on_one <- FALSE
}
if ("first_time" %in% colnames(data$shot)) {
data[is.na(data$shot$first_time), ]$shot$first_time <- FALSE
} else {
data$shot$first_time <- FALSE
}
if ("aerial_won" %in% colnames(data$shot)) {
data[is.na(data$shot$aerial_won), ]$shot$aerial_won <- FALSE
} else {
data$shot$aerial_won <- FALSE
}
if ("saved_to_post" %in% colnames(data$shot)) {
data[is.na(data$shot$saved_to_post), ]$shot$saved_to_post <- FALSE
} else {
data$shot$saved_to_post <- FALSE
}
if ("deflected" %in% colnames(data$shot)) {
data[is.na(data$shot$deflected), ]$shot$deflected <- FALSE
} else {
data$shot$deflected <- FALSE
}
if ("saved_off_target" %in% colnames(data$shot)) {
data[is.na(data$shot$saved_off_target), ]$shot$saved_off_target <- FALSE
} else {
data$shot$saved_off_target <- FALSE
}
if ("open_goal" %in% colnames(data$shot)) {
data[is.na(data$shot$open_goal), ]$shot$open_goal <- FALSE
} else {
data$shot$open_goal <- FALSE
}
if ("follows_dribble" %in% colnames(data$shot)) {
data[is.na(data$shot$follows_dribble), ]$shot$follows_dribble <- FALSE
} else {
data$shot$follows_dribble <- FALSE
}
if ("redirect" %in% colnames(data$shot)) {
data[is.na(data$shot$redirect), ]$shot$redirect <- FALSE
} else {
data$shot$redirect <- FALSE
}
if ("kick_off" %in% colnames(data$kick_off)) {
data[is.na(data$kick_off$kick_off), ]$kick_off$kick_off <- FALSE
} else {
data$kick_off$kick_off <- FALSE
}
},
error = function(e) {
# handle the error
print(paste("An error occurred:", e$message))
})
data <- data %>% mutate(angle = atan(7.32 * x1 / (x1^2 + y1^2 - (7.32/2)^2)),
is_goal = ifelse(shot$outcome$id == 97, 1, 0)) %>%
select(-location)
data$shot$outcome <- data$shot$outcome %>% select(-id)
data <- data %>% unnest(shot, names_sep = "_")
data$angle <- ifelse(data$angle<0, base::pi + data$angle, data$angle)
data
}
data_test <- get_shots2("data/la_liga_events/303377.json")
View(data_test)
# TODO not all json data have these same keys/fields, customize function to cover all cases
get_shots2 <- function(json_file) {
data <- fromJSON(json_file) %>% filter(type$name == "Shot") %>% dplyr::select(c(minute, position, location, shot))
df_temp <- do.call(rbind, data$location)
colnames(df_temp) <- c("x1", "y1")
data$x1 <- df_temp[,1]
data$y1 <- df_temp[,2]
tryCatch({ # TODO reduce error cases
data$number_of_players <- mapply(function(sublist, x1_threshold) {
# Extracting the first location value and converting it to numeric
first_location_values <- sapply(sublist$location, function(loc) as.numeric(loc[1]))
if ("teammate" %in% names(sublist)) {
# Filtering and counting
res <- sum(!sublist$teammate & first_location_values > x1_threshold) # error here
} else {
res <- 0
}
res
}, data$shot$freeze_frame, data$x1)
},
error = function(e) {
# handle the error
print(paste("An error occurred:", e$message))
})
data$shot <- data$shot %>% select(-freeze_frame, -statsbomb_xg, -key_pass_id)
data$shot$body_part <- data$shot$body_part %>% select(-id)
data$shot$technique <- data$shot$technique %>% select(-id)
data$shot$type <- data$shot$type %>% select(-id)
data$position <- data$position %>% select(-id)
data$shot <- data$shot %>% select(-end_location)
tryCatch({ # TODO reduce error cases
if ("one_on_one" %in% colnames(data$shot)) {
data[is.na(data$shot$one_on_one), ]$shot$one_on_one <- FALSE
} else {
data$shot$one_on_one <- FALSE
}
if ("first_time" %in% colnames(data$shot)) {
data[is.na(data$shot$first_time), ]$shot$first_time <- FALSE
} else {
data$shot$first_time <- FALSE
}
if ("aerial_won" %in% colnames(data$shot)) {
data[is.na(data$shot$aerial_won), ]$shot$aerial_won <- FALSE
} else {
data$shot$aerial_won <- FALSE
}
if ("saved_to_post" %in% colnames(data$shot)) {
data[is.na(data$shot$saved_to_post), ]$shot$saved_to_post <- FALSE
} else {
data$shot$saved_to_post <- FALSE
}
if ("deflected" %in% colnames(data$shot)) {
data[is.na(data$shot$deflected), ]$shot$deflected <- FALSE
} else {
data$shot$deflected <- FALSE
}
if ("saved_off_target" %in% colnames(data$shot)) {
data[is.na(data$shot$saved_off_target), ]$shot$saved_off_target <- FALSE
} else {
data$shot$saved_off_target <- FALSE
}
if ("open_goal" %in% colnames(data$shot)) {
data[is.na(data$shot$open_goal), ]$shot$open_goal <- FALSE
} else {
data$shot$open_goal <- FALSE
}
if ("follows_dribble" %in% colnames(data$shot)) {
data[is.na(data$shot$follows_dribble), ]$shot$follows_dribble <- FALSE
} else {
data$shot$follows_dribble <- FALSE
}
if ("redirect" %in% colnames(data$shot)) {
data[is.na(data$shot$redirect), ]$shot$redirect <- FALSE
} else {
data$shot$redirect <- FALSE
}
if ("kick_off" %in% colnames(data$kick_off)) {
data[is.na(data$kick_off$kick_off), ]$kick_off$kick_off <- FALSE
} else {
data$kick_off$kick_off <- FALSE
}
},
error = function(e) {
# handle the error
print(paste("An error occurred:", e$message))
})
data <- data %>% mutate(angle = atan(7.32 * x1 / (x1^2 + y1^2 - (7.32/2)^2)),
is_goal = ifelse(shot$outcome$id == 97, 1, 0)) %>%
select(-location)
data$angle <- ifelse(data$angle<0, base::pi + data$angle, data$angle)
data$shot$outcome <- data$shot$outcome %>% select(-id)
data <- data %>% unnest(shot, names_sep = "_")
%>% unnest(position, names_sep = "_")
# TODO not all json data have these same keys/fields, customize function to cover all cases
get_shots2 <- function(json_file) {
data <- fromJSON(json_file) %>% filter(type$name == "Shot") %>% dplyr::select(c(minute, position, location, shot))
df_temp <- do.call(rbind, data$location)
colnames(df_temp) <- c("x1", "y1")
data$x1 <- df_temp[,1]
data$y1 <- df_temp[,2]
tryCatch({ # TODO reduce error cases
data$number_of_players <- mapply(function(sublist, x1_threshold) {
# Extracting the first location value and converting it to numeric
first_location_values <- sapply(sublist$location, function(loc) as.numeric(loc[1]))
if ("teammate" %in% names(sublist)) {
# Filtering and counting
res <- sum(!sublist$teammate & first_location_values > x1_threshold) # error here
} else {
res <- 0
}
res
}, data$shot$freeze_frame, data$x1)
},
error = function(e) {
# handle the error
print(paste("An error occurred:", e$message))
})
data$shot <- data$shot %>% select(-freeze_frame, -statsbomb_xg, -key_pass_id)
data$shot$body_part <- data$shot$body_part %>% select(-id)
data$shot$technique <- data$shot$technique %>% select(-id)
data$shot$type <- data$shot$type %>% select(-id)
data$position <- data$position %>% select(-id)
data$shot <- data$shot %>% select(-end_location)
tryCatch({ # TODO reduce error cases
if ("one_on_one" %in% colnames(data$shot)) {
data[is.na(data$shot$one_on_one), ]$shot$one_on_one <- FALSE
} else {
data$shot$one_on_one <- FALSE
}
if ("first_time" %in% colnames(data$shot)) {
data[is.na(data$shot$first_time), ]$shot$first_time <- FALSE
} else {
data$shot$first_time <- FALSE
}
if ("aerial_won" %in% colnames(data$shot)) {
data[is.na(data$shot$aerial_won), ]$shot$aerial_won <- FALSE
} else {
data$shot$aerial_won <- FALSE
}
if ("saved_to_post" %in% colnames(data$shot)) {
data[is.na(data$shot$saved_to_post), ]$shot$saved_to_post <- FALSE
} else {
data$shot$saved_to_post <- FALSE
}
if ("deflected" %in% colnames(data$shot)) {
data[is.na(data$shot$deflected), ]$shot$deflected <- FALSE
} else {
data$shot$deflected <- FALSE
}
if ("saved_off_target" %in% colnames(data$shot)) {
data[is.na(data$shot$saved_off_target), ]$shot$saved_off_target <- FALSE
} else {
data$shot$saved_off_target <- FALSE
}
if ("open_goal" %in% colnames(data$shot)) {
data[is.na(data$shot$open_goal), ]$shot$open_goal <- FALSE
} else {
data$shot$open_goal <- FALSE
}
if ("follows_dribble" %in% colnames(data$shot)) {
data[is.na(data$shot$follows_dribble), ]$shot$follows_dribble <- FALSE
} else {
data$shot$follows_dribble <- FALSE
}
if ("redirect" %in% colnames(data$shot)) {
data[is.na(data$shot$redirect), ]$shot$redirect <- FALSE
} else {
data$shot$redirect <- FALSE
}
if ("kick_off" %in% colnames(data$kick_off)) {
data[is.na(data$kick_off$kick_off), ]$kick_off$kick_off <- FALSE
} else {
data$kick_off$kick_off <- FALSE
}
},
error = function(e) {
# handle the error
print(paste("An error occurred:", e$message))
})
data <- data %>% mutate(angle = atan(7.32 * x1 / (x1^2 + y1^2 - (7.32/2)^2)),
is_goal = ifelse(shot$outcome$id == 97, 1, 0)) %>%
select(-location)
data$angle <- ifelse(data$angle<0, base::pi + data$angle, data$angle)
data$shot$outcome <- data$shot$outcome %>% select(-id)
data <- data %>% unnest(shot, names_sep = "_") %>%
unnest(position, names_sep = "_") %>%
unnest(shot_type, names_sep = "_") %>%
unnest(shot_outcome, names_sep = "_") %>%
unnest(shot_technique, names_sep = "_")
data
}
data_test <- get_shots2("data/la_liga_events/303377.json")
View(data_test)
write.csv(data_test, file = "data/data_test.csv")
colnames(data_test)
data_test$kick_off
data_test$shot_body_part
data_df <- as.data.frame(data_test)
# TODO not all json data have these same keys/fields, customize function to cover all cases
get_shots2 <- function(json_file) {
data <- fromJSON(json_file) %>% filter(type$name == "Shot") %>% dplyr::select(c(minute, position, location, shot))
df_temp <- do.call(rbind, data$location)
colnames(df_temp) <- c("x1", "y1")
data$x1 <- df_temp[,1]
data$y1 <- df_temp[,2]
tryCatch({ # TODO reduce error cases
data$number_of_players <- mapply(function(sublist, x1_threshold) {
# Extracting the first location value and converting it to numeric
first_location_values <- sapply(sublist$location, function(loc) as.numeric(loc[1]))
if ("teammate" %in% names(sublist)) {
# Filtering and counting
res <- sum(!sublist$teammate & first_location_values > x1_threshold) # error here
} else {
res <- 0
}
res
}, data$shot$freeze_frame, data$x1)
},
error = function(e) {
# handle the error
print(paste("An error occurred:", e$message))
})
data$shot <- data$shot %>% select(-freeze_frame, -statsbomb_xg, -key_pass_id)
data$shot$body_part <- data$shot$body_part %>% select(-id)
data$shot$technique <- data$shot$technique %>% select(-id)
data$shot$type <- data$shot$type %>% select(-id)
data$position <- data$position %>% select(-id)
data$shot <- data$shot %>% select(-end_location)
tryCatch({ # TODO reduce error cases
if ("one_on_one" %in% colnames(data$shot)) {
data[is.na(data$shot$one_on_one), ]$shot$one_on_one <- FALSE
} else {
data$shot$one_on_one <- FALSE
}
if ("first_time" %in% colnames(data$shot)) {
data[is.na(data$shot$first_time), ]$shot$first_time <- FALSE
} else {
data$shot$first_time <- FALSE
}
if ("aerial_won" %in% colnames(data$shot)) {
data[is.na(data$shot$aerial_won), ]$shot$aerial_won <- FALSE
} else {
data$shot$aerial_won <- FALSE
}
if ("saved_to_post" %in% colnames(data$shot)) {
data[is.na(data$shot$saved_to_post), ]$shot$saved_to_post <- FALSE
} else {
data$shot$saved_to_post <- FALSE
}
if ("deflected" %in% colnames(data$shot)) {
data[is.na(data$shot$deflected), ]$shot$deflected <- FALSE
} else {
data$shot$deflected <- FALSE
}
if ("saved_off_target" %in% colnames(data$shot)) {
data[is.na(data$shot$saved_off_target), ]$shot$saved_off_target <- FALSE
} else {
data$shot$saved_off_target <- FALSE
}
if ("open_goal" %in% colnames(data$shot)) {
data[is.na(data$shot$open_goal), ]$shot$open_goal <- FALSE
} else {
data$shot$open_goal <- FALSE
}
if ("follows_dribble" %in% colnames(data$shot)) {
data[is.na(data$shot$follows_dribble), ]$shot$follows_dribble <- FALSE
} else {
data$shot$follows_dribble <- FALSE
}
if ("redirect" %in% colnames(data$shot)) {
data[is.na(data$shot$redirect), ]$shot$redirect <- FALSE
} else {
data$shot$redirect <- FALSE
}
if ("kick_off" %in% colnames(data$kick_off)) {
data[is.na(data$shot$kick_off), ]$shotf$kick_off <- FALSE
} else {
data$kick_off <- FALSE
}
},
error = function(e) {
# handle the error
print(paste("An error occurred:", e$message))
})
data <- data %>% mutate(angle = atan(7.32 * x1 / (x1^2 + y1^2 - (7.32/2)^2)),
is_goal = ifelse(shot$outcome$id == 97, 1, 0)) %>%
select(-location)
data$angle <- ifelse(data$angle<0, base::pi + data$angle, data$angle)
data$shot$outcome <- data$shot$outcome %>% select(-id)
data <- data %>% unnest(shot, names_sep = "_") %>%
unnest(position, names_sep = "_") %>%
unnest(shot_type, names_sep = "_") %>%
unnest(shot_outcome, names_sep = "_") %>%
unnest(shot_technique, names_sep = "_") %>%
unnest(shot_body_part, names_sep = "_")
data
}
data_test <- get_shots2("data/la_liga_events/303377.json")
write.csv(data_test, file = "data/data_test.csv")
file_names <- list.files(path = "data/la_liga_events/", pattern = "*.json")
data_list <- lapply(paste("data/la_liga_events/", file_names, sep = ""), get_shots2)
combined_data <- do.call(rbind, data_list)
data_test <- data <- fromJSON(("data/la_liga_events/303377.json") %>% filter(type$name == "Shot")
data_test <- fromJSON("data/la_liga_events/303377.json") %>% filter(type$name == "Shot")
data_test <- fromJSON("data/la_liga_events/303377.json") %>% filter(type$name == "Shot")
data_test$id
data_test$index
data4 <- read.csv("data/data4.csv", nrows = 1000)
View(data4)
# TODO not all json data have these same keys/fields, customize function to cover all cases
get_shots2 <- function(json_file) {
data <- fromJSON(json_file) %>% filter(type$name == "Shot") %>% dplyr::select(c(minute, position, location, shot))
df_temp <- do.call(rbind, data$location)
colnames(df_temp) <- c("x1", "y1")
data$x1 <- df_temp[,1]
data$y1 <- df_temp[,2]
tryCatch({ # TODO reduce error cases
data$number_of_players_opponents <- mapply(function(sublist, x1_threshold) {
# Extracting the first location value and converting it to numeric
first_location_values <- sapply(sublist$location, function(loc) as.numeric(loc[1]))
if ("teammate" %in% names(sublist)) {
# Filtering and counting
res <- sum(!sublist$teammate & first_location_values > x1_threshold) # error here
} else {
res <- 0
}
res
}, data$shot$freeze_frame, data$x1)
},
error = function(e) {
# handle the error
print(paste("An error occurred:", e$message))
})
tryCatch({ # TODO reduce error cases
data$number_of_players_teammates <- mapply(function(sublist, x1_threshold) {
# Extracting the first location value and converting it to numeric
first_location_values <- sapply(sublist$location, function(loc) as.numeric(loc[1]))
if ("teammate" %in% names(sublist)) {
# Filtering and counting
res <- sum(sublist$teammate & first_location_values > x1_threshold) # error here
} else {
res <- 0
}
res
}, data$shot$freeze_frame, data$x1)
},
error = function(e) {
# handle the error
print(paste("An error occurred:", e$message))
})
data$shot <- data$shot %>% select(-freeze_frame, -statsbomb_xg, -key_pass_id)
data$shot$body_part <- data$shot$body_part %>% select(-id)
data$shot$technique <- data$shot$technique %>% select(-id)
data$shot$type <- data$shot$type %>% select(-id)
data$position <- data$position %>% select(-id)
data$shot <- data$shot %>% select(-end_location)
tryCatch({ # TODO reduce error cases
if ("one_on_one" %in% colnames(data$shot)) {
data[is.na(data$shot$one_on_one), ]$shot$one_on_one <- FALSE
} else {
data$shot$one_on_one <- FALSE
}
if ("first_time" %in% colnames(data$shot)) {
data[is.na(data$shot$first_time), ]$shot$first_time <- FALSE
} else {
data$shot$first_time <- FALSE
}
if ("aerial_won" %in% colnames(data$shot)) {
data[is.na(data$shot$aerial_won), ]$shot$aerial_won <- FALSE
} else {
data$shot$aerial_won <- FALSE
}
if ("saved_to_post" %in% colnames(data$shot)) {
data[is.na(data$shot$saved_to_post), ]$shot$saved_to_post <- FALSE
} else {
data$shot$saved_to_post <- FALSE
}
if ("deflected" %in% colnames(data$shot)) {
data[is.na(data$shot$deflected), ]$shot$deflected <- FALSE
} else {
data$shot$deflected <- FALSE
}
if ("saved_off_target" %in% colnames(data$shot)) {
data[is.na(data$shot$saved_off_target), ]$shot$saved_off_target <- FALSE
} else {
data$shot$saved_off_target <- FALSE
}
if ("open_goal" %in% colnames(data$shot)) {
data[is.na(data$shot$open_goal), ]$shot$open_goal <- FALSE
} else {
data$shot$open_goal <- FALSE
}
if ("follows_dribble" %in% colnames(data$shot)) {
data[is.na(data$shot$follows_dribble), ]$shot$follows_dribble <- FALSE
} else {
data$shot$follows_dribble <- FALSE
}
if ("redirect" %in% colnames(data$shot)) {
data[is.na(data$shot$redirect), ]$shot$redirect <- FALSE
} else {
data$shot$redirect <- FALSE
}
if ("kick_off" %in% colnames(data$kick_off)) {
data[is.na(data$shot$kick_off), ]$shotf$kick_off <- FALSE
} else {
data$kick_off <- FALSE
}
},
error = function(e) {
# handle the error
print(paste("An error occurred:", e$message))
})
data <- data %>% mutate(angle = atan(7.32 * x1 / (x1^2 + y1^2 - (7.32/2)^2)),
is_goal = ifelse(shot$outcome$id == 97, 1, 0)) %>%
select(-location)
data$angle <- ifelse(data$angle<0, base::pi + data$angle, data$angle)
data$shot$outcome <- data$shot$outcome %>% select(-id)
data <- data %>% unnest(shot, names_sep = "_") %>%
unnest(position, names_sep = "_") %>%
unnest(shot_type, names_sep = "_") %>%
unnest(shot_outcome, names_sep = "_") %>%
unnest(shot_technique, names_sep = "_") %>%
unnest(shot_body_part, names_sep = "_")
data
}
# sample data
data_test <- get_shots2("data/la_liga_events/303377.json")
write.csv(data_test, file = "data/data3_test.csv")
data1 <- read.csv("data/data1.csv", nrows = 1000)
colnames(data1)
View(data1)
data2 <- read.csv("data/data2.csv", nrows = 1000)
View(data2)
data3 <- read.csv("data/data3_test.csv", nrows = 1000)
colnames(data3)
View(data3)