diff --git a/code/02_descriptives.R b/code/02_descriptives.R
index 40d74a1..0b74a44 100644
--- a/code/02_descriptives.R
+++ b/code/02_descriptives.R
@@ -10,6 +10,7 @@
 #           (3.5) Topics
 #
 # input:  results/haum/event_logfiles_2024-02-21_16-07-33.csv
+#         results/haum/raw_logfiles_2024-02-21_16-07-33.csv
 # output:
 #
 # last mod: 2024-03-13
@@ -18,6 +19,9 @@
 
 library(lattice)
 library(bupaverse)
+#library(mtt)
+devtools::load_all("../../../../../software/mtt")
+
 
 # Overall Research Question: How do museum visitors interact with the
 # artworks presented on the MTT?
@@ -74,43 +78,281 @@ lattice::dotplot(xtabs( ~ item + topic, datlogs), auto.key = TRUE)
 mat <- t(as.matrix(xtabs( ~ item + topic, datlogs)))
 mat[mat == 0] <- NA
 image(mat, axes = F, col = rainbow(100))
-heatmap(t(mat))
-
-
-datlogs$start <- datlogs$date.start
-datlogs$complete <- datlogs$date.stop
-
-
 
 #--------------- (2) Descriptives ---------------
+
+### Which item gets touched most often?
+
+counts_item <- table(datlogs$item)
+lattice::barchart(counts_item)
+
+items <- unique(datlogs$item)
+#items <- items[!items %in% c("504", "505")]
+datart <- extract_artworks(items,
+                           paste0(items, ".xml"),
+                           "../data/haum/ContentEyevisit/eyevisit_cards_light/")
+datart <- datart[order(datart$artwork), ]
+names(counts_item) <- datart$title
+
+pdf("results/figures/counts_item.pdf", width = 20, height = 10, pointsize = 10)
+par(mai = c(5, .6, .1, .1))
+tmp <- barplot(counts_item, las = 2, ylim = c(0, 60000),
+               border = NA, col = "#434F4F")
+text(tmp, counts_item + 1000, datart$artwork)
+dev.off()
+
+### Which item gets touched most often first?
+
+datcase <- datlogs[!duplicated(datlogs$case), ]
+counts_case <- table(datcase$item)
+names(counts_case) <- datart$title
+tmp <- barplot(counts_case, las = 2, border = "white")
+text(tmp, counts_case + 100, datart$item)
+
+counts <- rbind(counts_item, counts_case)
+
+pdf("results/figures/counts_item_firsttouch.pdf",
+    width = 20, height = 10, pointsize = 10)
+par(mai = c(5, .6, .1, .1))
+
+tmp <- barplot(counts, las = 2, border = NA, col = c("#434F4F", "#FF6900"), ylim = c(0, 65000))
+text(tmp, counts_item + counts_case + 1000, datart$artwork)
+legend("topleft", c("Total interactions", "First interactions"),
+       col = c("#434F4F", "#FF6900"), pch = 15, bty = "n")
+dev.off()
+
+### Which teasers seem to work well?
+barplot(table(datlogs$topic), las = 2)
+
+### Dwell times/duration
+datagg <- aggregate(duration ~ event + item, datlogs, mean)
+datagg$ds <- datagg$duration / 1000   # in secs
+
+lattice::bwplot(ds ~ event, datagg)
+
+# without aggregation
+lattice::bwplot(duration / 1000 / 60 ~ event, datlogs)
+# in min
+
+set.seed(1027)
+
+pdf("results/figures/duration.pdf", width = 5, height = 5, pointsize = 10)
+lattice::bwplot(I(duration/1000/60) ~ event, datlogs[sample(nrow(datlogs), 100000), ],
+       ylab = "Duration in min")
+dev.off()
+
+### Move events
+
+datmove <- aggregate(cbind(duration, scaleSize, rotationDegree, distance, x.start,
+                           y.start, x.stop, y.stop) ~ item, datlogs,
+                     mean)
+
+hist(log(datlogs$scaleSize))
+# --> better interpretable on logscale
+
+plot(y.start ~ x.start, datmove, pch = 16, col = "gray")
+points(y.start ~ x.start, datmove, col = "#3CB4DC", cex = datmove$scaleSize)
+
+
+plot(y.start ~ x.start, datmove, type = "n", xlab = "x", ylab = "y",
+     xlim = c(0, 3840), ylim = c(0, 2160))
+with(datmove, text(x.start, y.start, item, col = "gray", cex = 1.5))
+with(datmove,
+     arrows(x.start, y.start, x.stop, y.stop, length = 0.07, lwd = 2)
+     )
+abline(v = c(0, 3840), h = c(0, 2160), col = "#3CB4DC", lwd = 2)
+
+datscale <- aggregate(scaleSize ~ item, datlogs, max)
+plot(y.start ~ x.start, datmove, pch = 16, col = "gray")
+points(y.start ~ x.start, datmove, col = "#3CB4DC", cex = datscale$scaleSize)
+
+plot(y.start ~ x.start, datmove, type = "n", xlab = "x", ylab = "y",
+     xlim = c(0, 3840), ylim = c(0, 2160))
+#with(datmove, text(x.stop, y.stop, item))
+with(datmove, text(x.start, y.start, item))
+
+
+### Are there certain areas of the table that are touched most often?
+
+# heatmap
+cuts <- 100
+
+datlogs$x.start.cat <- cut(datlogs$x.start, cuts)
+datlogs$y.start.cat <- cut(datlogs$y.start, cuts)
+
+tab <- xtabs( ~ x.start.cat + y.start.cat, datlogs)
+
+colnames(tab) <- paste0("c", 1:cuts)
+rownames(tab) <- paste0("c", 1:cuts)
+
+heatmap(tab, Rowv = NA, Colv = NA)
+
+
+dattrim <- datlogs[datlogs$x.start < 3840 &
+                   datlogs$x.start > 0 &
+                   datlogs$y.start < 2160 &
+                   datlogs$y.start > 0 &
+                   datlogs$x.stop < 3840 &
+                   datlogs$x.stop > 0 &
+                   datlogs$y.stop < 2160 &
+                   datlogs$y.stop > 0, ]
+
+cuts <- 100 # 200, 100, 70, ...
+
+# start
+dattrim$x.start.cat <- cut(dattrim$x.start, cuts)
+dattrim$y.start.cat <- cut(dattrim$y.start, cuts)
+
+tab.start <- xtabs( ~ x.start.cat + y.start.cat, dattrim)
+colnames(tab.start) <- NULL
+rownames(tab.start) <- NULL
+
+pdf("results/figures/heatmap_start.pdf", width = 5, height = 5, pointsize = 10)
+heatmap(tab.start, Rowv = NA, Colv = NA)
+dev.off()
+
+# stop
+dattrim$x.stop.cat <- cut(dattrim$x.stop, cuts)
+dattrim$y.stop.cat <- cut(dattrim$y.stop, cuts)
+tab.stop <- xtabs( ~ x.stop.cat + y.stop.cat, dattrim)
+colnames(tab.stop) <- NULL
+rownames(tab.stop) <- NULL
+
+pdf("results/figures/heatmap_stop.pdf", width = 5, height = 5, pointsize = 10)
+heatmap(tab.stop, Rowv = NA, Colv = NA)
+dev.off()
+
+### How many visitors per day
+
+datlogs$date <- as.Date(datlogs$date.start)
+
+# Interactions per day
+datint <- aggregate(case ~ date, datlogs, length)
+plot(datint, type = "h")
+
+# Cases per day
+datcase <- aggregate(case ~ date, datlogs, function(x) length(unique(x)))
+plot(datcase, type = "h")
+
+# Paths per day
+datpath <- aggregate(path ~ date, datlogs, function(x) length(unique(x)))
+plot(datpath, type = "h")
+
+plot(path ~ date, datpath, type = "h", col = "#3CB4DC")
+points(case ~ date, datcase, type = "h")
+
+pdf("results/figures/cases_per_day.pdf", width = 9, height = 5, pointsize = 10)
+par(mai = c(.6, .6, .1, .1), mgp = c(2.4, 1, 0))
+plot(case ~ date, datcase, type = "h", col = "#434F4F")
+abline(v = datcase$date[datcase$date %in% c("2020-03-13", "2022-10-25")],
+       col = "#FF6900", lty = 2)
+text(datcase$date[datcase$date == "2020-03-13"]+470, 80,
+     "Corona gap from 2020-03-13 to 2022-10-25",
+     col = "#FF6900")
+dev.off()
+
+
+### Other stuff
+
+library(mvbutils)
+foodweb(where = "package:mtt")
+
+pdf("results/figures/fun_depend_mtt.pdf", width = 8, height = 4, pointsize = 10)
+foodweb(where = "package:mtt",
+        prune = c("parse_logfiles", "create_eventlogs", "extract_artworks",
+                  "extract_topics"),
+        #expand.ybox = 1.8, #cex = .6,
+        #border = TRUE,
+        #boxcolor = "gray",
+        color.lines = FALSE,
+        lwd = 2, mai = c(0, 0, 0, 0))
+dev.off()
+
+
+## weird behavior of timeMs
+
+pdf("results/figures/timeMs.pdf", width = 9, height = 6, pointsize = 10)
+#par(mai = c(.6, .6, .1, .1), mgp = c(2.4, 1, 0))
+#plot(timeMs.start ~ as.factor(fileId), datlogs[1:2000,], xlab = "fileId")
+lattice::bwplot(timeMs.start ~ as.factor(fileId.start), datlogs[1:2000,], xlab = "",
+       scales = list(x = list(rot = 90), y = list(rot = 90)))
+dev.off()
+
+## x,y-coordinates out of range
+
+set.seed(1522)
+
+pdf("results/figures/xycoord.pdf", width = 5, height = 5, pointsize = 10)
+par(mai = c(.6, .6, .1, .1), mgp = c(2.4, 1, 0))
+#par(mfrow = c(1, 2))
+plot(y.start ~ x.start, datlogs[sample(nrow(datlogs), 10000), ])
+abline(v = c(0, 3840), h = c(0, 2160), col = "#3CB4DC", lwd = 2)
+#plot(y.stop ~ x.stop, datlogs)
+#abline(v = c(0, 3840), h = c(0, 2160), col = "#3CB4DC", lwd = 2)
+legend("bottomleft", "Random sample of 10,000", bg = "white")
+legend("topleft", "4K-Display: 3840 x 2160", bg = "white")
+dev.off()
+
+## moves
+
+dat001 <- datlogs[which(datlogs$item == "001"), ]
+
+index <- as.numeric(as.factor(dat001$path))
+cc <- sample(colors(), 100)
+
+plot(y.start ~ x.start, dat001, type = "n", xlab = "x", ylab = "y",
+     xlim = c(0, 3840), ylim = c(0, 2160))
+with(dat001[1:200,], arrows(x.start, y.start, x.stop, y.stop,
+                            length = .07, col = cc[index]))
+
+plot(y.start ~ x.start, dat001, xlab = "x", ylab = "y",
+     xlim = c(0, 3840), ylim = c(0, 2160), pch = 16, col = "gray")
+points(y.start ~ x.start, dat001, xlab = "x", ylab = "y",
+     xlim = c(0, 3840), ylim = c(0, 2160), cex = dat001$scaleSize,
+     col = "blue")
+
+
+
+cc <- sample(colors(), 70)
+
+dat1 <- datlogs[!duplicated(datlogs$item), ]
+dat1 <- dat1[order(dat1$item), ]
+
+plot(y.start ~ x.start, dat1, type = "n", xlim = c(-100, 4500), ylim = c(-100, 2500))
+abline(h = c(0, 2160), v = c(0, 3840), col = "lightgray")
+with(dat1, points(x.start, y.start, col = cc, pch = 16))
+with(dat1, points(x.stop, y.stop, col = cc, pch = 16))
+with(dat1, arrows(x.start, y.start, x.stop, y.stop, length = .07, col = cc))
+
+
 # How many events per topic, per path, ...
 # How many popups per artwork?
 
 # Number of events per artwork
-tab <- xtabs( ~ artwork + event, datlogs)
+tab <- xtabs( ~ item + event, datlogs)
 addmargins(tab)
 
-proportions(tab, margin = "artwork")
+proportions(tab, margin = "item")
 proportions(tab, margin = "event")
 
 cc <- palette.colors(palette = "Okabe-Ito")[c(3,2,4,8)]
 
-pdf("../figures/event-dist.pdf", height = 3.375, width = 12, pointsize = 10)
+pdf("results/figures/event-dist.pdf", height = 3.375, width = 12, pointsize = 10)
 par(mai = c(.4,.4,.1,.1), mgp = c(2.4, 1, 0))
 
-barplot(t(proportions(tab, margin = "artwork")), las = 2, col = cc,
+barplot(t(proportions(tab, margin = "item")), las = 2, col = c("#78004B", "#3CB4DC", "#91C86E", "#FF6900"),
         legend.text = levels(datlogs$event), args.legend = list(x = "bottomleft", bg = "white"))
 
 dev.off()
 
-#barchart(proportions(tab, margin = "artwork"), las = 2)
+#barchart(proportions(tab, margin = "item"), las = 2)
 
 # Proportion of events
 proportions(xtabs( ~ event, datlogs))
 # Mean proportion of event per path
 colMeans(proportions(xtabs( ~ path + event, datlogs), margin = "path"))
-# Mean proportion of event per artwork
-colMeans(proportions(tab, margin = "artwork"))
+# Mean proportion of event per item
+colMeans(proportions(tab, margin = "item"))
 
 # Proportion of unclosed events
 
@@ -126,15 +368,17 @@ sum(datlogs$fileId.start != datlogs$fileId.stop, na.rm = TRUE) / nrow(datlogs)
 
 #--------------- (3.1) Check data quality ---------------
 
+datlogs$start <- datlogs$date.start
+datlogs$complete <- datlogs$date.stop
+
 alog <- activitylog(datlogs,
                     case_id = "path",
                     activity_id = "event",
                     #resource_id = "case",
-                    resource_id = "artwork",
+                    resource_id = "item",
                     timestamps = c("start", "complete"))
 
-# process_map(alog, frequency("relative"))
-map_as_pdf(alog, file = "../figures/pm_trace-event.pdf")
+process_map(alog, frequency("relative"))
 
 alogf <- edeaR::filter_trace_frequency(alog, percentage = 0.9)
 
@@ -188,7 +432,7 @@ alog080 <- activitylog(datlogs[datlogs$artwork == "080",],
                     resource_id = "artwork",
                     timestamps = c("start", "complete"))
 
-map_as_pdf(alog080, file = "../figures/pm_trace-event_080.pdf")
+process_map(alog80, frequency("relative"))
 
 alog087 <- activitylog(datlogs[datlogs$artwork == "087",],
                     case_id = "path",
@@ -196,7 +440,7 @@ alog087 <- activitylog(datlogs[datlogs$artwork == "087",],
                     resource_id = "artwork",
                     timestamps = c("start", "complete"))
 
-map_as_pdf(alog087, file = "../figures/pm_trace-event_087.pdf")
+process_map(alog087, frequency("relative"))
 
 alog504 <- activitylog(datlogs[datlogs$artwork == "504",],
                     case_id = "path",
@@ -204,7 +448,7 @@ alog504 <- activitylog(datlogs[datlogs$artwork == "504",],
                     resource_id = "artwork",
                     timestamps = c("start", "complete"))
 
-map_as_pdf(alog504, file = "../figures/pm_trace-event_504.pdf")
+process_map(alog504, frequency("relative"))
 
 #--------------- (3.3) Patterns of cases ---------------
 
@@ -221,7 +465,7 @@ alog <- activitylog(datlogs,
                     resource_id = "path",
                     timestamps = c("start", "complete"))
 
-map_as_pdf(alog, file = "../figures/pm_case-event.pdf")
+process_map(alog, frequency("relative"))
 
 alog_no_move <- alog[alog$event != "move", ]
 
@@ -233,7 +477,7 @@ processmapR::trace_explorer(alog_no_move[alog_no_move$path %in%
                             abbreviate = T)
 dev.off()
 
-map_as_pdf(alog080, file = "../figures/pm_case-event_080.pdf")
+process_map(alog080, frequency("relative"))
 
 alog087 <- activitylog(datlogs[datlogs$artwork == "087",],
                        case_id = "case",
@@ -241,7 +485,7 @@ alog087 <- activitylog(datlogs[datlogs$artwork == "087",],
                        resource_id = "path",
                        timestamps = c("start", "complete"))
 
-map_as_pdf(alog087, file = "../figures/pm_case-event_087.pdf")
+process_map(alog087, frequency("relative"))
 
 ### Mornings and afternoons
 
@@ -253,7 +497,7 @@ alog <- activitylog(datlogs[datlogs$tod == "morning",],
                     resource_id = "path",
                     timestamps = c("start", "complete"))
 
-map_as_pdf(alog, file = "../figures/pm_case-event_morning.pdf")
+process_map(alog, frequency("relative"))
 
 alog <- activitylog(datlogs[datlogs$tod == "afternoon",],
                     case_id = "case",
@@ -261,7 +505,7 @@ alog <- activitylog(datlogs[datlogs$tod == "afternoon",],
                     resource_id = "path",
                     timestamps = c("start", "complete"))
 
-map_as_pdf(alog, file = "../figures/pm_case-event_afternoon.pdf")
+process_map(alog, frequency("relative"))
 
 # Are the same artworks looked at?
 pdf("../figures/bp_tod.pdf", height = 3.375, width = 12, pointsize = 10)
@@ -283,7 +527,7 @@ alog <- activitylog(datlogs[datlogs$wd == "weekend",],
                     resource_id = "path",
                     timestamps = c("start", "complete"))
 
-map_as_pdf(alog, file = "../figures/pm_case-event_weekend.pdf")
+process_map(alog, frequency("relative"))
 
 alog <- activitylog(datlogs[datlogs$wd == "weekday",],
                     case_id = "case",
@@ -291,7 +535,7 @@ alog <- activitylog(datlogs[datlogs$wd == "weekday",],
                     resource_id = "path",
                     timestamps = c("start", "complete"))
 
-map_as_pdf(alog, file = "../figures/pm_case-event_weekday.pdf")
+process_map(alog, frequency("relative"))
 
 # Are the same artworks looked at?
 pdf("../figures/bp_wd.pdf", height = 3.375, width = 12, pointsize = 10)
@@ -314,7 +558,7 @@ alog <- activitylog(datlogs[which(datlogs$wds == "school"),],
                     resource_id = "path",
                     timestamps = c("start", "complete"))
 
-map_as_pdf(alog, file = "../figures/pm_case-event_school.pdf")
+process_map(alog, frequency("relative"))
 
 alog <- activitylog(datlogs[which(datlogs$wds == "vacation"),],
                     case_id = "case",
@@ -322,7 +566,7 @@ alog <- activitylog(datlogs[which(datlogs$wds == "vacation"),],
                     resource_id = "path",
                     timestamps = c("start", "complete"))
 
-map_as_pdf(alog, file = "../figures/pm_case-event_vacation.pdf")
+process_map(alog, frequency("relative"))
 
 # Are the same artworks looked at?
 pdf("../figures/bp_wds.pdf", height = 3.375, width = 12, pointsize = 10)
@@ -345,7 +589,7 @@ alog <- activitylog(datlogs[which(datlogs$corona == "pre"),],
                     resource_id = "path",
                     timestamps = c("start", "complete"))
 
-map_as_pdf(alog, file = "../figures/pm_case-event_pre-corona.pdf")
+process_map(alog, frequency("relative"))
 
 alog <- activitylog(datlogs[which(datlogs$corona == "post"),],
                     case_id = "case",
@@ -353,7 +597,7 @@ alog <- activitylog(datlogs[which(datlogs$corona == "post"),],
                     resource_id = "path",
                     timestamps = c("start", "complete"))
 
-map_as_pdf(alog, file = "../figures/pm_case-event_post-corona.pdf")
+process_map(alog, frequency("relative"))
 
 # Are the same artworks looked at?
 pdf("../figures/bp_corona.pdf", height = 3.375, width = 12, pointsize = 10)
@@ -398,7 +642,7 @@ alog <- activitylog(datlogs[datlogs$artwork %in% often080, ],
                     resource_id = "path",
                     timestamps = c("start", "complete"))
 
-map_as_pdf(alog, file = "../figures/pm_case-artwork_often080.pdf")
+process_map(alog, frequency("relative"))
 
 
 pdf("../figures/traceexplore_case-artwork_often080.pdf", height = 8, width = 12, pointsize = 10)
@@ -420,7 +664,7 @@ alog <- activitylog(datlogs[which(datlogs$event == "openTopic"),],
                     resource_id = "path",
                     timestamps = c("start", "complete"))
 
-map_as_pdf(alog, file = "../figures/pm_case-topic.pdf")
+process_map(alog, frequency("relative"))
 
 # Order of topics for Vermeer
 # alog080 <- activitylog(datlogs[datlogs$artwork == "080",],
@@ -429,9 +673,6 @@ map_as_pdf(alog, file = "../figures/pm_case-topic.pdf")
 #                     resource_id = "path",
 #                     timestamps = c("start", "complete"))
 #
-# map_as_pdf(alog080, file = "../figures/pm_case-topic_080.pdf")
-#
-#
 # alog080 <- activitylog(datlogs[datlogs$artwork == "080",],
 #                        case_id = "case",
 #                        activity_id = "topicFile",
@@ -446,8 +687,6 @@ map_as_pdf(alog, file = "../figures/pm_case-topic.pdf")
 #                        activity_id = "topic",
 #                        resource_id = "path",
 #                        timestamps = c("start", "complete"))
-#
-# map_as_pdf(alog083, file = "../figures/pm_case-topic_083.pdf")
 
 # artworks that have the same topics than Vermeer
 which(rowSums(xtabs( ~ artwork + topic, datlogs[datlogs$topic %in%
@@ -464,7 +703,7 @@ for (art in c("037", "046", "062", "080", "083", "109")) {
                       resource_id = "path",
                       timestamps = c("start", "complete"))
 
-  map_as_pdf(alog, file = paste0("../figures/pm_case-topic_", art, ".pdf"))
+  process_map(alog, frequency("relative"))
 }
 
 
@@ -518,13 +757,3 @@ plot(path ~ time, tmp, cex = 2, col = rgb(0,0,0,.3))
 lattice::barchart(path ~ time, tmp, horizontal=F)
 
 
-
-###########################################################################
-# HELPER
-
-map_as_pdf <- function(alog, file, type = frequency("relative")) {
-  map <- process_map(alog, type = type)
-  g <- DiagrammeR::grViz(map$x$diagram) |> DiagrammeRsvg::export_svg() |> charToRaw()
-  rsvg::rsvg_pdf(g, file)
-}
-