Cleaned up preprocessing file for HAUM
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@ -1,3 +1,19 @@
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# 01_preprocessing_haum.R
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#
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# content: (1) Parse raw log files
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# (2) Create event logs
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# (3) Add meta data
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#
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# input: raw log files from ../data/haum/*.log
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# ../data/metadata/feiertage.csv
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# ../data/metadata/schulferien_2016-2018_NI.csv
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# ../data/metadata/schulferien_2019-2025_NI.csv
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# output: raw_logfiles_<timestamp>.csv
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# event_logfiles_<timestamp>.csv
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# event_logfiles_<timestamp>.csv
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#
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# last mod: 2023-10-23, NW
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# setwd("C:/Users/nwickelmaier/Nextcloud/Documents/MDS/2023ss/60100_master_thesis/code")
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#library(mtt)
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@ -6,20 +22,19 @@ devtools::load_all("../../../../software/mtt")
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now <- format(Sys.time(), "%Y-%m-%d_%H-%M-%S")
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#now <- "2023-09-23_01-31-30"
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#--------------- Parse raw log files ---------------
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#--------------- (1) Parse raw log files ---------------
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path <- "../data/haum/LogFiles/"
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folders <- dir(path)
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#datraw <- parse_logfiles(folders, path)
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datraw <- read.table("../data/haum/raw_logfiles_small_2023-09-26_13-50-20.csv",
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sep = ";", header = TRUE)
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datraw <- parse_logfiles(folders, path)
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# export data
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# write.table(datraw, paste0("../data/haum/raw_logfiles_", now, ".csv"),
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# sep = ";", row.names = FALSE)
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## Export data
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#--------------- Create event logs ---------------
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write.table(datraw, paste0("../data/haum/raw_logfiles_", now, ".csv"),
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sep = ";", row.names = FALSE)
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#--------------- (2) Create event logs ---------------
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datlogs <- create_eventlogs(datraw,
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xmlpath = "../data/haum/ContentEyevisit/eyevisit_cards_light/")
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@ -30,12 +45,7 @@ topics <- extract_topics(artworks, xmlfiles = paste0(artworks, ".xml"),
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datlogs_topics <- add_topic(datlogs, topics = topics)
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# export data
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# write.table(datlogs_topics, paste0("../data/haum/event_logfiles_", now, ".csv"),
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# sep = ";", row.names = FALSE)
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#--------------- Add meta data ---------------
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#--------------- (3) Add meta data ---------------
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## Read data for holiday
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@ -83,21 +93,15 @@ for (i in seq_len(nrow(sf))) {
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# TODO: How to handle stateCode? There will be several for certain types of
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# data sets... Not important here, since I only do NI.
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## Add metadata
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## Merge data
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# holidays
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dat1 <- merge(datlogs_topics, hd, by.x = "date.start", by.y = "date", all.x = TRUE)
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# school vacations
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dat2 <- merge(dat1, sfdat, by.x = "date.start", by.y = "date", all.x = TRUE)
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## Export data
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write.table(dat2,
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file = paste0("../data/haum/event_logfiles_small_metadata_", now, ".csv"),
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write.table(dat2, paste0("../data/haum/event_logfiles_", now, ".csv"),
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sep = ";", row.names = FALSE)
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# TODO: Maybe add infos about artworks?
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@ -1,72 +0,0 @@
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# setwd("C:/Users/nwickelmaier/Nextcloud/Documents/MDS/2023ss/60100_master_thesis/")
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## Read data for holiday
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hd0 <- read.table("data/metadata/feiertage.csv", sep = ";", header = TRUE)
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hd0$X.br. <- NULL
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hd <- hd0[hd0$Abkuerzung == "NI", ]
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names(hd) <- c("state", "stateCode", "date", "holiday")
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hd$date <- as.POSIXct(hd$date)
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## Read data for school vacations
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# https://ferien-api.de/#holidaysPerStateAndYear
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# Data extracted (on Linux) via:
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# curl https://ferien-api.de/api/v1/holidays/NI > schulferien_NI.json
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# library(jsonlite)
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#
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# dat <- read_json("data/metadata/schulferien_NI.json", simplify = TRUE)
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# dat$slug <- NULL
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#
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# dat$name <- paste0(gsub("^(.*).niedersachsen.*", "\\1", dat$name),
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# gsub("^.*niedersachsen [0-9]{4}(.*)", "\\1",
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# dat$name))
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#
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# write.table(dat, "data/metadata/schulferien_2019-2025_NI.csv", sep = ";",
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# row.names = FALSE, quote = FALSE)
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sf1 <- read.table("data/metadata/schulferien_2016-2018_NI.csv", sep = ";",
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header = TRUE)
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sf2 <- read.table("data/metadata/schulferien_2019-2025_NI.csv", sep = ";",
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header = TRUE)
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sf <- rbind(sf1, sf2)
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sf$start <- as.Date(sf$start)
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sf$end <- as.Date(sf$end)
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sfdat <- NULL
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for (i in seq_len(nrow(sf))) {
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date <- seq(sf$start[i], sf$end[i], by = 1)
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sfdat <- rbind(sfdat, data.frame(date, vacations = sf$name[i],
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stateCodeVacations = sf$stateCode[i]))
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}
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# TODO: How to handle stateCode? There will be several for certain types of
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# data sets... Not important here, since I only do NI.
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# load (small) event log data set
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#dat <- read.table("data/haum/event_logfiles_2023-09-23_01-31-30.csv",
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dat <- read.table("data/haum/event_logfiles_small_2023-10-19_18-25-26.csv",
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sep = ";", header = TRUE)
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dat$date.start <- as.POSIXct(dat$date.start)
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dat$date.stop <- as.POSIXct(dat$date.stop)
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dat$artwork <- sprintf("%03d", dat$artwork)
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dat$date <- as.Date(dat$date.start)
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## Add metadata
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# holidays
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dat1 <- merge(dat, hd, by = "date", all.x = TRUE)
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# school vacations
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dat2 <- merge(dat1, sfdat, by = "date", all.x = TRUE)
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## Export data
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write.table(dat2,
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file = "data/haum/event_logfiles_small_metadata_2023-10-19_18-25-26.csv",
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sep = ";", row.names = FALSE)
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# TODO: Maybe add infos about artworks?
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@ -33,5 +33,5 @@ points(y.stop ~ x.stop, datmove, xlim = c(0, 3840), ylim = c(0, 2160), col = "bl
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points(ty ~ tx, dat, xlim = c(0, 3840), ylim = c(0, 2160), col = "red")
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legend("topleft", c("start", "stop", "trans"), col = c("black", "blue", "red"), pch = 21)
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# --> does not seem to be a good way to compare if trans values ae valid
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# --> does not seem to be a good way to compare *if* trans values are valid
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