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Added trace analysis for 2019 data

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Nora Wickelmaier 2024-03-26 18:28:10 +01:00
parent 198a22f4d8
commit 48a4bcbcdb
1 changed files with 59 additions and 3 deletions
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code/11_investigate-variants.R
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@ -1,13 +1,14 @@
# 11_investigate-variants.R
#
# content: (1) Read data
# (2) Investigate variants
# (2) Investigate variants (pre-corona data set)
# (3) Investigate variants (2019)
#
# input: results/eventlogs_pre-corona_cleaned.RData
# output: ../../thesis/figures/freq-traces.pdf
# ../../thesis/figures/freq-traces_powerlaw.pdf
#
# last mod: 2024-03-22
# last mod: 2024-03-26
# setwd("C:/Users/nwickelmaier/Nextcloud/Documents/MDS/2023ss/60100_master_thesis/analysis/code")
@ -17,7 +18,7 @@ library(bupaverse)
load("results/eventlogs_pre-corona_cleaned.RData")
#--------------- (2) Investigate variants ---------------
#--------------- (2) Investigate variants (pre-corona data set) ---------------
dat$start <- dat$date.start
dat$complete <- dat$date.stop
@ -71,3 +72,58 @@ dev.off()
tr[trace_varied == 5 & trace_length > 50, ]
# --> every variant exists only once, of course
#--------------- (3) Investigate variants (2019) ---------------
load("results/dataframes_case_2019.RData")
dat$start <- dat$date.start
dat$complete <- dat$date.stop
alog <- activitylog(dat,
case_id = "case",
activity_id = "item",
resource_id = "path",
timestamps = c("start", "complete"))
pdf("../../thesis/figures/freq-traces_2019.pdf", height = 7, width = 6, pointsize = 10)
trace_explorer(alog, n_traces = 25)
dev.off()
trace_explorer(alog, n_traces = 10, type = "infrequent")
tr <- traces(alog)
trace_length <- pbapply::pbsapply(strsplit(tr$trace, ","), length)
tr[trace_length > 10, ]
trace_varied <- pbapply::pbsapply(strsplit(tr$trace, ","), function(x) length(unique(x)))
tr[trace_varied > 1, ]
table(tr[trace_varied > 2, "absolute_frequency"])
table(tr[trace_varied > 3, "absolute_frequency"])
summary(tr$absolute_frequency)
vioplot::vioplot(tr$absolute_frequency)
# Power law for frequencies of traces
tab <- table(tr$absolute_frequency)
x <- as.numeric(names(tab))
y <- as.numeric(tab)
p1 <- lm(log(y) ~ log(x))
pre <- exp(coef(p1)[1]) * x^coef(p1)[2]
pdf("../../thesis/figures/freq-traces_powerlaw_2019.pdf", height = 3.375,
width = 3.375, pointsize = 10)
par(mai = c(.6,.6,.1,.1), mgp = c(2.4, 1, 0))
plot(x, y, log = "xy", xlab = "Absolute Frequency of Traces",
ylab = "Frequency", pch = 16, col = rgb(0.262, 0.309, 0.309, 0.5))
lines(x, pre, col = "#434F4F")
legend("topright", paste0("Proportion of traces only occurring once: ",
round(tab[1] / nrow(tr), 2)), cex = .7, bty = "n")
dev.off()
# Look at individual traces as examples
tr[trace_varied == 5 & trace_length > 50, ]
# --> every variant exists only once, of course