edit data cleaning and add final data
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ca199213c7
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@ -1,388 +1,16 @@
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error = function(e) {
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# handle the error
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print(paste("An error occurred:", e$message))
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})
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data$shot <- data$shot %>% select(-freeze_frame, -statsbomb_xg, -key_pass_id)
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data$shot$body_part <- data$shot$body_part %>% select(-id)
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data$shot$technique <- data$shot$technique %>% select(-id)
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data$shot$type <- data$shot$type %>% select(-id)
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data$position <- data$position %>% select(-id)
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data$shot <- data$shot %>% select(-end_location)
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tryCatch({ # TODO reduce error cases
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if ("one_on_one" %in% colnames(data$shot)) {
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data[is.na(data$shot$one_on_one), ]$shot$one_on_one <- FALSE
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} else {
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data$shot$one_on_one <- FALSE
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}
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if ("first_time" %in% colnames(data$shot)) {
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data[is.na(data$shot$first_time), ]$shot$first_time <- FALSE
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} else {
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data$shot$first_time <- FALSE
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}
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if ("aerial_won" %in% colnames(data$shot)) {
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data[is.na(data$shot$aerial_won), ]$shot$aerial_won <- FALSE
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} else {
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data$shot$aerial_won <- FALSE
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}
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if ("saved_to_post" %in% colnames(data$shot)) {
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data[is.na(data$shot$saved_to_post), ]$shot$saved_to_post <- FALSE
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} else {
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data$shot$saved_to_post <- FALSE
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}
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if ("deflected" %in% colnames(data$shot)) {
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data[is.na(data$shot$deflected), ]$shot$deflected <- FALSE
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} else {
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data$shot$deflected <- FALSE
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}
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if ("saved_off_target" %in% colnames(data$shot)) {
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data[is.na(data$shot$saved_off_target), ]$shot$saved_off_target <- FALSE
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} else {
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data$shot$saved_off_target <- FALSE
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}
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if ("open_goal" %in% colnames(data$shot)) {
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data[is.na(data$shot$open_goal), ]$shot$open_goal <- FALSE
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} else {
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data$shot$open_goal <- FALSE
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}
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if ("follows_dribble" %in% colnames(data$shot)) {
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data[is.na(data$shot$follows_dribble), ]$shot$follows_dribble <- FALSE
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} else {
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data$shot$follows_dribble <- FALSE
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}
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if ("redirect" %in% colnames(data$shot)) {
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data[is.na(data$shot$redirect), ]$shot$redirect <- FALSE
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} else {
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data$shot$redirect <- FALSE
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}
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if ("kick_off" %in% colnames(data$kick_off)) {
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data[is.na(data$kick_off$kick_off), ]$kick_off$kick_off <- FALSE
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} else {
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data$kick_off$kick_off <- FALSE
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}
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},
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error = function(e) {
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# handle the error
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print(paste("An error occurred:", e$message))
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})
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data <- data %>% mutate(angle = atan(7.32 * x1 / (x1^2 + y1^2 - (7.32/2)^2)),
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is_goal = ifelse(shot$outcome$id == 97, 1, 0)) %>%
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select(-location)
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data$shot$outcome <- data$shot$outcome %>% select(-id)
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data <- data %>% unnest(shot, names_sep = "_")
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data$angle <- ifelse(data$angle<0, base::pi + data$angle, data$angle)
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data
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}
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data_test <- get_shots2("data/la_liga_events/303377.json")
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View(data_test)
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# TODO not all json data have these same keys/fields, customize function to cover all cases
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get_shots2 <- function(json_file) {
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data <- fromJSON(json_file) %>% filter(type$name == "Shot") %>% dplyr::select(c(minute, position, location, shot))
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df_temp <- do.call(rbind, data$location)
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colnames(df_temp) <- c("x1", "y1")
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data$x1 <- df_temp[,1]
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data$y1 <- df_temp[,2]
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tryCatch({ # TODO reduce error cases
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data$number_of_players <- mapply(function(sublist, x1_threshold) {
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# Extracting the first location value and converting it to numeric
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first_location_values <- sapply(sublist$location, function(loc) as.numeric(loc[1]))
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if ("teammate" %in% names(sublist)) {
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# Filtering and counting
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res <- sum(!sublist$teammate & first_location_values > x1_threshold) # error here
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} else {
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res <- 0
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}
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res
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}, data$shot$freeze_frame, data$x1)
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},
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error = function(e) {
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# handle the error
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print(paste("An error occurred:", e$message))
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})
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data$shot <- data$shot %>% select(-freeze_frame, -statsbomb_xg, -key_pass_id)
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data$shot$body_part <- data$shot$body_part %>% select(-id)
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data$shot$technique <- data$shot$technique %>% select(-id)
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data$shot$type <- data$shot$type %>% select(-id)
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data$position <- data$position %>% select(-id)
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data$shot <- data$shot %>% select(-end_location)
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tryCatch({ # TODO reduce error cases
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if ("one_on_one" %in% colnames(data$shot)) {
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data[is.na(data$shot$one_on_one), ]$shot$one_on_one <- FALSE
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} else {
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data$shot$one_on_one <- FALSE
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}
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if ("first_time" %in% colnames(data$shot)) {
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data[is.na(data$shot$first_time), ]$shot$first_time <- FALSE
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} else {
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data$shot$first_time <- FALSE
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}
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if ("aerial_won" %in% colnames(data$shot)) {
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data[is.na(data$shot$aerial_won), ]$shot$aerial_won <- FALSE
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} else {
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data$shot$aerial_won <- FALSE
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}
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if ("saved_to_post" %in% colnames(data$shot)) {
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data[is.na(data$shot$saved_to_post), ]$shot$saved_to_post <- FALSE
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} else {
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data$shot$saved_to_post <- FALSE
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}
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if ("deflected" %in% colnames(data$shot)) {
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data[is.na(data$shot$deflected), ]$shot$deflected <- FALSE
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} else {
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data$shot$deflected <- FALSE
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}
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if ("saved_off_target" %in% colnames(data$shot)) {
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data[is.na(data$shot$saved_off_target), ]$shot$saved_off_target <- FALSE
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} else {
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data$shot$saved_off_target <- FALSE
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}
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if ("open_goal" %in% colnames(data$shot)) {
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data[is.na(data$shot$open_goal), ]$shot$open_goal <- FALSE
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} else {
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data$shot$open_goal <- FALSE
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}
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if ("follows_dribble" %in% colnames(data$shot)) {
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data[is.na(data$shot$follows_dribble), ]$shot$follows_dribble <- FALSE
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} else {
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data$shot$follows_dribble <- FALSE
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}
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if ("redirect" %in% colnames(data$shot)) {
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data[is.na(data$shot$redirect), ]$shot$redirect <- FALSE
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} else {
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data$shot$redirect <- FALSE
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}
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if ("kick_off" %in% colnames(data$kick_off)) {
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data[is.na(data$kick_off$kick_off), ]$kick_off$kick_off <- FALSE
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} else {
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data$kick_off$kick_off <- FALSE
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}
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},
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error = function(e) {
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# handle the error
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print(paste("An error occurred:", e$message))
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})
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data <- data %>% mutate(angle = atan(7.32 * x1 / (x1^2 + y1^2 - (7.32/2)^2)),
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is_goal = ifelse(shot$outcome$id == 97, 1, 0)) %>%
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select(-location)
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data$angle <- ifelse(data$angle<0, base::pi + data$angle, data$angle)
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data$shot$outcome <- data$shot$outcome %>% select(-id)
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data <- data %>% unnest(shot, names_sep = "_")
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%>% unnest(position, names_sep = "_")
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# TODO not all json data have these same keys/fields, customize function to cover all cases
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get_shots2 <- function(json_file) {
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data <- fromJSON(json_file) %>% filter(type$name == "Shot") %>% dplyr::select(c(minute, position, location, shot))
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df_temp <- do.call(rbind, data$location)
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colnames(df_temp) <- c("x1", "y1")
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data$x1 <- df_temp[,1]
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data$y1 <- df_temp[,2]
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tryCatch({ # TODO reduce error cases
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data$number_of_players <- mapply(function(sublist, x1_threshold) {
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# Extracting the first location value and converting it to numeric
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first_location_values <- sapply(sublist$location, function(loc) as.numeric(loc[1]))
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if ("teammate" %in% names(sublist)) {
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# Filtering and counting
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res <- sum(!sublist$teammate & first_location_values > x1_threshold) # error here
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} else {
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res <- 0
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}
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res
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}, data$shot$freeze_frame, data$x1)
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},
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error = function(e) {
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# handle the error
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print(paste("An error occurred:", e$message))
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})
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data$shot <- data$shot %>% select(-freeze_frame, -statsbomb_xg, -key_pass_id)
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data$shot$body_part <- data$shot$body_part %>% select(-id)
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data$shot$technique <- data$shot$technique %>% select(-id)
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data$shot$type <- data$shot$type %>% select(-id)
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data$position <- data$position %>% select(-id)
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data$shot <- data$shot %>% select(-end_location)
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tryCatch({ # TODO reduce error cases
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if ("one_on_one" %in% colnames(data$shot)) {
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data[is.na(data$shot$one_on_one), ]$shot$one_on_one <- FALSE
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} else {
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data$shot$one_on_one <- FALSE
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}
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if ("first_time" %in% colnames(data$shot)) {
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data[is.na(data$shot$first_time), ]$shot$first_time <- FALSE
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} else {
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data$shot$first_time <- FALSE
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}
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if ("aerial_won" %in% colnames(data$shot)) {
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data[is.na(data$shot$aerial_won), ]$shot$aerial_won <- FALSE
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} else {
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data$shot$aerial_won <- FALSE
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}
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if ("saved_to_post" %in% colnames(data$shot)) {
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data[is.na(data$shot$saved_to_post), ]$shot$saved_to_post <- FALSE
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} else {
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data$shot$saved_to_post <- FALSE
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}
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if ("deflected" %in% colnames(data$shot)) {
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data[is.na(data$shot$deflected), ]$shot$deflected <- FALSE
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} else {
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data$shot$deflected <- FALSE
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}
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if ("saved_off_target" %in% colnames(data$shot)) {
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data[is.na(data$shot$saved_off_target), ]$shot$saved_off_target <- FALSE
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} else {
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data$shot$saved_off_target <- FALSE
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}
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if ("open_goal" %in% colnames(data$shot)) {
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data[is.na(data$shot$open_goal), ]$shot$open_goal <- FALSE
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} else {
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data$shot$open_goal <- FALSE
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}
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if ("follows_dribble" %in% colnames(data$shot)) {
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data[is.na(data$shot$follows_dribble), ]$shot$follows_dribble <- FALSE
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} else {
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data$shot$follows_dribble <- FALSE
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}
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if ("redirect" %in% colnames(data$shot)) {
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data[is.na(data$shot$redirect), ]$shot$redirect <- FALSE
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} else {
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data$shot$redirect <- FALSE
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}
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if ("kick_off" %in% colnames(data$kick_off)) {
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data[is.na(data$kick_off$kick_off), ]$kick_off$kick_off <- FALSE
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} else {
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data$kick_off$kick_off <- FALSE
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}
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},
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error = function(e) {
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# handle the error
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print(paste("An error occurred:", e$message))
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})
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data <- data %>% mutate(angle = atan(7.32 * x1 / (x1^2 + y1^2 - (7.32/2)^2)),
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is_goal = ifelse(shot$outcome$id == 97, 1, 0)) %>%
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select(-location)
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data$angle <- ifelse(data$angle<0, base::pi + data$angle, data$angle)
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data$shot$outcome <- data$shot$outcome %>% select(-id)
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data <- data %>% unnest(shot, names_sep = "_") %>%
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unnest(position, names_sep = "_") %>%
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unnest(shot_type, names_sep = "_") %>%
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unnest(shot_outcome, names_sep = "_") %>%
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unnest(shot_technique, names_sep = "_")
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data
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}
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data_test <- get_shots2("data/la_liga_events/303377.json")
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View(data_test)
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write.csv(data_test, file = "data/data_test.csv")
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colnames(data_test)
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data_test$kick_off
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data_test$shot_body_part
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data_df <- as.data.frame(data_test)
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# TODO not all json data have these same keys/fields, customize function to cover all cases
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get_shots2 <- function(json_file) {
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data <- fromJSON(json_file) %>% filter(type$name == "Shot") %>% dplyr::select(c(minute, position, location, shot))
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df_temp <- do.call(rbind, data$location)
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colnames(df_temp) <- c("x1", "y1")
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data$x1 <- df_temp[,1]
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data$y1 <- df_temp[,2]
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tryCatch({ # TODO reduce error cases
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data$number_of_players <- mapply(function(sublist, x1_threshold) {
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# Extracting the first location value and converting it to numeric
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first_location_values <- sapply(sublist$location, function(loc) as.numeric(loc[1]))
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if ("teammate" %in% names(sublist)) {
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# Filtering and counting
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res <- sum(!sublist$teammate & first_location_values > x1_threshold) # error here
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} else {
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res <- 0
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}
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res
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}, data$shot$freeze_frame, data$x1)
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},
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error = function(e) {
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# handle the error
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print(paste("An error occurred:", e$message))
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})
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data$shot <- data$shot %>% select(-freeze_frame, -statsbomb_xg, -key_pass_id)
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data$shot$body_part <- data$shot$body_part %>% select(-id)
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data$shot$technique <- data$shot$technique %>% select(-id)
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data$shot$type <- data$shot$type %>% select(-id)
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data$position <- data$position %>% select(-id)
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data$shot <- data$shot %>% select(-end_location)
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tryCatch({ # TODO reduce error cases
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if ("one_on_one" %in% colnames(data$shot)) {
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data[is.na(data$shot$one_on_one), ]$shot$one_on_one <- FALSE
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} else {
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data$shot$one_on_one <- FALSE
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}
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if ("first_time" %in% colnames(data$shot)) {
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data[is.na(data$shot$first_time), ]$shot$first_time <- FALSE
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} else {
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data$shot$first_time <- FALSE
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}
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if ("aerial_won" %in% colnames(data$shot)) {
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data[is.na(data$shot$aerial_won), ]$shot$aerial_won <- FALSE
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} else {
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data$shot$aerial_won <- FALSE
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}
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if ("saved_to_post" %in% colnames(data$shot)) {
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data[is.na(data$shot$saved_to_post), ]$shot$saved_to_post <- FALSE
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} else {
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data$shot$saved_to_post <- FALSE
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}
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if ("deflected" %in% colnames(data$shot)) {
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data[is.na(data$shot$deflected), ]$shot$deflected <- FALSE
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} else {
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data$shot$deflected <- FALSE
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}
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if ("saved_off_target" %in% colnames(data$shot)) {
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data[is.na(data$shot$saved_off_target), ]$shot$saved_off_target <- FALSE
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} else {
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data$shot$saved_off_target <- FALSE
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}
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if ("open_goal" %in% colnames(data$shot)) {
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data[is.na(data$shot$open_goal), ]$shot$open_goal <- FALSE
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} else {
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data$shot$open_goal <- FALSE
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}
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if ("follows_dribble" %in% colnames(data$shot)) {
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data[is.na(data$shot$follows_dribble), ]$shot$follows_dribble <- FALSE
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} else {
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data$shot$follows_dribble <- FALSE
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}
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if ("redirect" %in% colnames(data$shot)) {
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data[is.na(data$shot$redirect), ]$shot$redirect <- FALSE
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} else {
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data$shot$redirect <- FALSE
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}
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if ("kick_off" %in% colnames(data$kick_off)) {
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data[is.na(data$shot$kick_off), ]$shotf$kick_off <- FALSE
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} else {
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data$kick_off <- FALSE
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}
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},
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error = function(e) {
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# handle the error
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print(paste("An error occurred:", e$message))
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})
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data <- data %>% mutate(angle = atan(7.32 * x1 / (x1^2 + y1^2 - (7.32/2)^2)),
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is_goal = ifelse(shot$outcome$id == 97, 1, 0)) %>%
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select(-location)
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data$angle <- ifelse(data$angle<0, base::pi + data$angle, data$angle)
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data$shot$outcome <- data$shot$outcome %>% select(-id)
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data <- data %>% unnest(shot, names_sep = "_") %>%
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unnest(position, names_sep = "_") %>%
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unnest(shot_type, names_sep = "_") %>%
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unnest(shot_outcome, names_sep = "_") %>%
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unnest(shot_technique, names_sep = "_") %>%
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unnest(shot_body_part, names_sep = "_")
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data
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}
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data_test <- get_shots2("data/la_liga_events/303377.json")
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write.csv(data_test, file = "data/data_test.csv")
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data4 <- read.csv("data/data4.csv")
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setwd("~/Desktop/fantastyczne_gole")
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data4 <- read.csv("data/data4.csv")
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nrow
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nrow(data4)
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data_list
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file_names <- list.files(path = "data/la_liga_events/", pattern = "*.json")
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length(file_names)
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data_list <- lapply(paste("data/la_liga_events/", file_names, sep = ""), get_shots2)
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combined_data <- do.call(rbind, data_list)
|
||||
data_test <- data <- fromJSON(("data/la_liga_events/303377.json") %>% filter(type$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)
|
||||
library(jsonlite)
|
||||
library(tidyverse)
|
||||
library(ggsoccer)
|
||||
library(dplyr)
|
||||
# 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))
|
||||
|
|
@ -499,14 +127,51 @@ 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)
|
||||
data_list <- lapply(paste("data/la_liga_events/", file_names, sep = ""), get_shots2)
|
||||
length(data_list)
|
||||
ss <- lapply(data_list, nrow())
|
||||
ss <- lapply(data_list, nrow)
|
||||
ss
|
||||
sum(ss)
|
||||
sss <- unlist(ss)
|
||||
sss
|
||||
sum(sss)
|
||||
source("notebooks/dataCleaning.R")
|
||||
source("notebooks/dataCleaning.R")
|
||||
# generate random data
|
||||
random_data <- as.data.frame(x = rnorm(100),
|
||||
y = rnorm(100, mean = 1, sd = 3))
|
||||
# unit tests
|
||||
expect_silent(
|
||||
data <- get_shots(file_path = "data/events/events_England.json", name_detail = "EN")
|
||||
)
|
||||
library(tinytest)
|
||||
# unit tests
|
||||
expect_silent(
|
||||
data <- get_shots(file_path = "data/events/events_England.json", name_detail = "EN")
|
||||
)
|
||||
expect_silent(
|
||||
data <- get_shots2(json_file = "data/la_liga_events/ (1).json")
|
||||
)
|
||||
expect_error(
|
||||
get_final_data(data = random_data)
|
||||
)
|
||||
data1 <- get_shots2(json_file = "data/la_liga_events/ (1).json")
|
||||
data2 <- get_shots2(json_file = "data/la_liga_events/ (2).json")
|
||||
expect_equivalent(colnames(data1), colnames(data2))
|
||||
expect_false(is.vector(data1))
|
||||
expect_true(is.data.frame(data1))
|
||||
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)
|
||||
colnames(data2)
|
||||
expect_length(length(colnames(data1)), length(colnames(data2)))
|
||||
length(colnames(data1))
|
||||
length(colnames(data2))
|
||||
?expect_length
|
||||
expect_length(colnames(data1), colnames(data2))
|
||||
expect_length(colnames(data1), colnames(data2))
|
||||
expect_length(colnames(data1), 22)
|
||||
expect_length(colnames(data2), 22)
|
||||
expect_false(is.vector(data1))
|
||||
expect_true(is.data.frame(data1))
|
||||
df <- read.csv("data/data4.csv", nrows = 1000)
|
||||
View(df)
|
||||
|
|
|
|||
Binary file not shown.
File diff suppressed because it is too large
Load Diff
|
|
@ -5,6 +5,8 @@ library(jsonlite)
|
|||
library(tidyverse)
|
||||
library(ggsoccer)
|
||||
library(dplyr)
|
||||
library(REdaS)
|
||||
library(yd2m)
|
||||
|
||||
# code and data from https://github.com/Dato-Futbol/xg-model
|
||||
get_shots <- function(file_path, name_detail, save_files = F){
|
||||
|
|
@ -99,21 +101,67 @@ get_data <- function(event_path, info_path) {
|
|||
# data2 <- get_data(event_path = "data/events.csv", info_path = "data/ginf.csv")
|
||||
# write.csv(data2, file = "data/data2.csv")
|
||||
|
||||
# TODO dodać kolumne z x y coordinates bazując na location
|
||||
# TODO dodać kolumnę z kątem do bramki
|
||||
|
||||
##################### The third dataset ##############################
|
||||
|
||||
# TODO not all json data have these same keys/fields, customize function to cover all cases
|
||||
# make angle from the x, y coordinares for the 3rd dataset
|
||||
loc2angle <- function(x, y) {
|
||||
rads <- atan(7.32 * x / (x^2 + (y - 34)^2 - (7.32/2)^2))
|
||||
rads <- ifelse(rads<0, base::pi + rads, rads)
|
||||
deg <- rad2deg(rads)
|
||||
deg
|
||||
}
|
||||
|
||||
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$location)
|
||||
df_temp <- do.call(rbind, lapply(data$location, function(loc) c(120, 80) - loc))
|
||||
colnames(df_temp) <- c("x1", "y1")
|
||||
|
||||
data$x1 <- df_temp[,1]
|
||||
data$y1 <- df_temp[,2]
|
||||
|
||||
tryCatch({
|
||||
df_players_location <- mapply( function(sublist) {
|
||||
if (!is.null(sublist$teammate)) {
|
||||
df_players <- sapply(sublist$location, function(loc) c(120, 80) - loc %>% as.numeric() %>% yd_to_m() %>% round(., digits = 1)) %>% t() %>% as.data.frame()
|
||||
# df <- sapply(sublist$teammate, function(tmt) cbind(df_players, tmt))
|
||||
df <- cbind(df_players, sublist$teammate)
|
||||
colnames(df) <- c("x", "y", "teammate")
|
||||
|
||||
na_df <- as.data.frame(matrix(NA, nrow = 21 - nrow(df), ncol = ncol(df)))
|
||||
colnames(na_df) <- colnames(df)
|
||||
dff <- rbind(df, na_df)
|
||||
} else {
|
||||
dff <- as.data.frame(matrix(NA, nrow = 21, ncol = 3))
|
||||
colnames(dff) <- c("x", "y", "teammate")
|
||||
}
|
||||
wider_df <- dff %>%
|
||||
mutate(row = row_number()) %>%
|
||||
pivot_wider(names_from = row, values_from = c(x, y, teammate), names_sep = "_player")
|
||||
wider_df
|
||||
}, data$shot$freeze_frame)
|
||||
},
|
||||
error = function(e) {
|
||||
# handle the error
|
||||
print(json_file)
|
||||
print(paste("An error occurred:", e$message))
|
||||
})
|
||||
df_players_location <- df_players_location %>% t()
|
||||
|
||||
# df <- do.call(rbind, df_test$shot$freeze_frame[[1]]$location) %>% as.data.frame()
|
||||
# dff <- cbind(df, df_test$shot$freeze_frame[[1]]$teammate)
|
||||
# colnames(dff) <- c("x", "y", "teammate")
|
||||
#
|
||||
#
|
||||
# na_df <- as.data.frame(matrix(NA, nrow = 21 - nrow(df), ncol = ncol(dff)))
|
||||
# colnames(na_df) <- colnames(dff)
|
||||
# dff <- rbind(dff, na_df)
|
||||
#
|
||||
# wider_df <- dff %>%
|
||||
# mutate(row = row_number()) %>%
|
||||
# pivot_wider(names_from = row, values_from = c(x, y, teammate), names_sep = "_player")
|
||||
|
||||
tryCatch({ # TODO reduce error cases
|
||||
data$number_of_players_opponents <- mapply(function(sublist, x1_threshold) {
|
||||
# Extracting the first location value and converting it to numeric
|
||||
|
|
@ -129,6 +177,7 @@ get_shots2 <- function(json_file) {
|
|||
}, data$shot$freeze_frame, data$x1)
|
||||
},
|
||||
error = function(e) {
|
||||
print(json_file)
|
||||
# handle the error
|
||||
print(paste("An error occurred:", e$message))
|
||||
})
|
||||
|
|
@ -148,6 +197,7 @@ get_shots2 <- function(json_file) {
|
|||
}, data$shot$freeze_frame, data$x1)
|
||||
},
|
||||
error = function(e) {
|
||||
print(json_file)
|
||||
# handle the error
|
||||
print(paste("An error occurred:", e$message))
|
||||
})
|
||||
|
|
@ -227,10 +277,11 @@ get_shots2 <- function(json_file) {
|
|||
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$id == 97, 1, 0)) %>%
|
||||
data <- data %>% mutate(is_goal = ifelse(shot$outcome$id == 97, 1, 0),
|
||||
x1 = yd_to_m(x1) %>% round(., digits = 1),
|
||||
y1 = yd_to_m(y1) %>% round(., digits = 1),
|
||||
angle = loc2angle(x1, y1) %>% round(., digits = 1)) %>%
|
||||
select(-location)
|
||||
data$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 = "_") %>%
|
||||
|
|
@ -238,20 +289,34 @@ get_shots2 <- function(json_file) {
|
|||
unnest(shot_outcome, names_sep = "_") %>%
|
||||
unnest(shot_technique, names_sep = "_") %>%
|
||||
unnest(shot_body_part, names_sep = "_")
|
||||
|
||||
data <- cbind(data, df_players_location)
|
||||
data
|
||||
}
|
||||
|
||||
# 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)
|
||||
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(bind_rows, data_list)
|
||||
|
||||
# ss <- lapply(data_list, nrow)
|
||||
# sss <- unlist(ss)
|
||||
#
|
||||
# # sample data
|
||||
# data_test <- get_shots2("data/la_liga_events/303377.json")
|
||||
# write.csv(data_test, file = "data/data3_test.csv")
|
||||
|
||||
|
||||
data3_final <- combined_data %>% select(-c(shot_outcome_name,
|
||||
shot_saved_off_target,
|
||||
shot_saved_to_post)) %>%
|
||||
mutate(is_head = ifelse(shot_body_part_name == "Head", 1, 0),
|
||||
is_right_foot = ifelse(shot_body_part_name == "Right Foot", 1, 0),
|
||||
is_left_foot = ifelse(shot_body_part_name == "Left Foot", 1, 0),
|
||||
is_open_play = ifelse(shot_type_name == "Open Play", 1, 0)) %>%
|
||||
select(-shot_body_part_name)
|
||||
|
||||
write_csv(data3_final, file = "data/final_data.csv")
|
||||
|
||||
|
||||
##################### The fourth dataset ##############################
|
||||
|
||||
|
||||
|
||||
|
|
|
|||
Loading…
Reference in New Issue