Cleaned up preprocessing for HAUM

This commit is contained in:
Nora Wickelmaier 2024-01-02 15:37:37 +01:00
parent 4d17f76fd5
commit 16fa9c4f2c

View File

@ -20,35 +20,54 @@
devtools::load_all("../../../../software/mtt")
now <- format(Sys.time(), "%Y-%m-%d_%H-%M-%S")
#now <- "2023-09-23_01-31-30"
#--------------- (1) Parse raw log files ---------------
#path <- "../data/haum/LogFiles/"
#folders <- dir(path)
path <- "../data/haum/LogFiles/"
folders <- dir(path)
#folders <- "2016"
#datraw <- parse_logfiles(folders, path)
datraw <- parse_logfiles(folders, path)
# 91 corrupt lines have been found and removed from the data set
datraw <- read.table("results/haum/raw_logfiles_2023-10-25_16-20-45.csv",
sep = ";", header = TRUE)
# datraw <- read.table("results/haum/raw_logfiles_2023-10-25_16-20-45.csv",
# sep = ";", header = TRUE)
## Export data
#write.table(datraw, paste0("results/haum/raw_logfiles_small_", now, ".csv"),
# sep = ";", row.names = FALSE)
write.table(datraw, paste0("results/haum/raw_logfiles_", now, ".csv"),
sep = ";", row.names = FALSE)
#--------------- (2) Create event logs ---------------
datlogs <- create_eventlogs(datraw,
xmlpath = "../data/haum/ContentEyevisit/eyevisit_cards_light/",
glossar = TRUE, save = TRUE)
#xmlpath = "../data/haum/ContentEyevisit/eyevisit_cards_light/",
glossar = FALSE, save = FALSE)
artworks <- unique(datlogs$artwork)
topics <- extract_topics(artworks, xmlfiles = paste0(artworks, ".xml"),
# 6,064 glossar entries, that could not be matched, have been removed
# 2,136,715 no change move events have been removed
items <- unique(datlogs$item)
topics <- extract_topics(items, xmlfiles = paste0(items, ".xml"),
xmlpath = "../data/haum/ContentEyevisit/eyevisit_cards_light/")
datlogs_topics <- add_topic(datlogs, topics = topics)
# Indices for topics:
# 0 artist
# 1 thema
# 2 komposition
# 3 leben des kunstwerks
# 4 details
# 5 licht und farbe
# 6 extra info
# 7 technik
# ATTENTION: Need to know which topic maps onto which index!
datlogs$topic <- factor(datlogs$topic, levels = 0:7,
labels = c("artist", "thema", "komposition",
"leben des kunstwerks", "details",
"licht und farbe", "extra info",
"technik"))
#--------------- (3) Add meta data ---------------
@ -60,6 +79,7 @@ hd0$X.br. <- NULL
hd <- hd0[hd0$Abkuerzung == "NI", ]
names(hd) <- c("state", "stateCode", "date", "holiday")
hd$date <- as.POSIXct(hd$date)
hd$state <- NULL
## Read data for school vacations
@ -92,7 +112,7 @@ sfdat <- NULL
for (i in seq_len(nrow(sf))) {
date <- seq(sf$start[i], sf$end[i], by = 1)
sfdat <- rbind(sfdat, data.frame(date, vacations = sf$name[i],
stateCodeVacations = sf$stateCode[i]))
stateCode = sf$stateCode[i]))
}
# TODO: How to handle stateCode? There will be several for certain types of
@ -100,14 +120,20 @@ for (i in seq_len(nrow(sf))) {
## Merge data
datlogs_topics$date <- as.Date(datlogs_topics$date.start)
datlogs$date <- as.Date(datlogs$date.start)
dat1 <- merge(datlogs_topics, hd, by.x = "date", by.y = "date", all.x = TRUE)
dat1 <- merge(datlogs, hd, by.x = "date", by.y = "date", all.x = TRUE)
dat2 <- merge(dat1, sfdat, by.x = "date", by.y = "date", all.x = TRUE)
dat2$stateCode <- dat2$stateCode.y
dat2$stateCode <- ifelse(!is.na(dat2$stateCode.x),
dat2$stateCode.x, dat2$stateCode.y)
dat2$stateCode.x <- NULL
dat2$stateCode.y <- NULL
dat2$date <- NULL
## Export data
write.table(dat2, paste0("results/haum/event_logfiles_glossar_", now, ".csv"),
write.table(dat2, paste0("results/haum/event_logfiles_", now, ".csv"),
sep = ";", row.names = FALSE)
# TODO: Maybe add infos about artworks?