Cleaned up preprocessing for HAUM
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@ -20,35 +20,54 @@
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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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#--------------- (1) Parse raw log files ---------------
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#path <- "../data/haum/LogFiles/"
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#folders <- dir(path)
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path <- "../data/haum/LogFiles/"
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folders <- dir(path)
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#folders <- "2016"
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#datraw <- parse_logfiles(folders, path)
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datraw <- parse_logfiles(folders, path)
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# 91 corrupt lines have been found and removed from the data set
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datraw <- read.table("results/haum/raw_logfiles_2023-10-25_16-20-45.csv",
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sep = ";", header = TRUE)
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# datraw <- read.table("results/haum/raw_logfiles_2023-10-25_16-20-45.csv",
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# sep = ";", header = TRUE)
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## Export data
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#write.table(datraw, paste0("results/haum/raw_logfiles_small_", now, ".csv"),
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# sep = ";", row.names = FALSE)
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write.table(datraw, paste0("results/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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glossar = TRUE, save = TRUE)
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#xmlpath = "../data/haum/ContentEyevisit/eyevisit_cards_light/",
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glossar = FALSE, save = FALSE)
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artworks <- unique(datlogs$artwork)
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topics <- extract_topics(artworks, xmlfiles = paste0(artworks, ".xml"),
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# 6,064 glossar entries, that could not be matched, have been removed
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# 2,136,715 no change move events have been removed
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items <- unique(datlogs$item)
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topics <- extract_topics(items, xmlfiles = paste0(items, ".xml"),
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xmlpath = "../data/haum/ContentEyevisit/eyevisit_cards_light/")
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datlogs_topics <- add_topic(datlogs, topics = topics)
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# Indices for topics:
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# 0 artist
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# 1 thema
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# 2 komposition
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# 3 leben des kunstwerks
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# 4 details
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# 5 licht und farbe
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# 6 extra info
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# 7 technik
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# ATTENTION: Need to know which topic maps onto which index!
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datlogs$topic <- factor(datlogs$topic, levels = 0:7,
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labels = c("artist", "thema", "komposition",
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"leben des kunstwerks", "details",
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"licht und farbe", "extra info",
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"technik"))
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#--------------- (3) Add meta data ---------------
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@ -60,6 +79,7 @@ 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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hd$state <- NULL
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## Read data for school vacations
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@ -92,7 +112,7 @@ sfdat <- NULL
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for (i in seq_len(nrow(sf))) {
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date <- seq(sf$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$stateCode[i]))
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stateCode = sf$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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@ -100,14 +120,20 @@ for (i in seq_len(nrow(sf))) {
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## Merge data
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datlogs_topics$date <- as.Date(datlogs_topics$date.start)
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datlogs$date <- as.Date(datlogs$date.start)
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dat1 <- merge(datlogs_topics, hd, by.x = "date", by.y = "date", all.x = TRUE)
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dat1 <- merge(datlogs, hd, by.x = "date", by.y = "date", all.x = TRUE)
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dat2 <- merge(dat1, sfdat, by.x = "date", by.y = "date", all.x = TRUE)
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dat2$stateCode <- dat2$stateCode.y
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dat2$stateCode <- ifelse(!is.na(dat2$stateCode.x),
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dat2$stateCode.x, dat2$stateCode.y)
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dat2$stateCode.x <- NULL
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dat2$stateCode.y <- NULL
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dat2$date <- NULL
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## Export data
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write.table(dat2, paste0("results/haum/event_logfiles_glossar_", now, ".csv"),
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write.table(dat2, paste0("results/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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