Updated analysis and slides after fixing add_case
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@ -29,7 +29,7 @@ library(bupaverse)
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#--------------- (1) Read data ---------------
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#--------------- (1) Read data ---------------
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dat <- read.table("../data/haum/event_logfiles_glossar_2023-10-29_10-26-42.csv",
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dat <- read.table("../data/haum/event_logfiles_glossar_2023-11-03_17-46-28.csv",
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sep = ";", header = TRUE)
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sep = ";", header = TRUE)
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dat$date <- as.POSIXct(dat$date)
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dat$date <- as.POSIXct(dat$date)
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dat$date.start <- as.POSIXct(dat$date.start)
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dat$date.start <- as.POSIXct(dat$date.start)
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@ -312,10 +312,10 @@ table(tmp$artwork)
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# select the ones most often (I am aiming for 10...)
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# select the ones most often (I am aiming for 10...)
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barplot(table(tmp$artwork))
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barplot(table(tmp$artwork))
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abline(h = 12000, col = "red")
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abline(h = 14000, col = "red")
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which(table(tmp$artwork) > 12000)
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which(table(tmp$artwork) > 14000)
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often080 <- names(which(table(tmp$artwork) > 12000))
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often080 <- names(which(table(tmp$artwork) > 14000))
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alog <- activitylog(dat[dat$artwork %in% often080, ],
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alog <- activitylog(dat[dat$artwork %in% often080, ],
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case_id = "case",
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case_id = "case",
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@ -42,9 +42,9 @@ datraw <- read.table("../data/haum/raw_logfiles_2023-10-25_16-20-45.csv",
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datlogs <- create_eventlogs(datraw,
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datlogs <- create_eventlogs(datraw,
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xmlpath = "../data/haum/ContentEyevisit/eyevisit_cards_light/",
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xmlpath = "../data/haum/ContentEyevisit/eyevisit_cards_light/",
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glossar = TRUE)
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glossar = TRUE, save = TRUE)
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artworks <- unique(na.omit(datlogs$artwork))
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artworks <- unique(datlogs$artwork)
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topics <- extract_topics(artworks, xmlfiles = paste0(artworks, ".xml"),
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topics <- extract_topics(artworks, xmlfiles = paste0(artworks, ".xml"),
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xmlpath = "../data/haum/ContentEyevisit/eyevisit_cards_light/")
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xmlpath = "../data/haum/ContentEyevisit/eyevisit_cards_light/")
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