forked from Shiivong27/Business_process_mining
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app.R
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app.R
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# Initializing all packages
library(shinydashboard)
library(dplyr)
library(bupaR)
library(shiny)
library(processmapR)
library(processmonitR)
library(DT)
library(DiagrammeR)
library(shinyalert)
OTC <- patients %>% select(handling,patient,employee,handling_id,registration_type,time) %>%
mutate(Key_Event = paste(handling,patient,employee,handling_id,registration_type,time))
names(OTC) <- c("Event","Case_ID","Resource","Event_ID","Status","Timestamp","Order","Key_Event")
OTC$Resource <- as.character(OTC$Resource)
OTC$Resource[OTC$Resource == "r1"] <- "Katherine" # Renaming the resources
OTC$Resource[OTC$Resource == "r2"] <- "Jonathan"
OTC$Resource[OTC$Resource == "r3"] <- "Andrea"
OTC$Resource[OTC$Resource == "r4"] <- "Steven"
OTC$Resource[OTC$Resource == "r5"] <- "Julia"
OTC$Resource[OTC$Resource == "r6"] <- "Amy"
OTC$Resource[OTC$Resource == "r7"] <- "Jerry"
OTC <- unique.data.frame(OTC)
# UI side design
ui <- dashboardPage(skin = "blue",
dashboardHeader(title = "Process Mining",
dropdownMenu(type = "notifications", badgeStatus = "danger",
notificationItem(text = "12 new users today",
icon("users")),
notificationItem(text = "31 items delivered",
icon("truck"),
status = "success"),
notificationItem(text = "Server load at 34%",
icon("exclamation-triangle"),
status = "warning")
),
dropdownMenu(type = "tasks", badgeStatus = "success",
taskItem(value = 90, color = "green","Documentation"),
taskItem(value = 17, color = "aqua","Omega BI implementation"),
taskItem(value = 78, color = "yellow","Server deployment"),
taskItem(value = 84, color = "red", "Project progress")
)
),
dashboardSidebar(
fluidRow(column(12, div(style = "height:100px",
selectInput("R_ID", h5(strong(em("RESOURCES"))),
choices = c("All", unique(as.character(OTC$Resource))),
selected = "All", multiple = TRUE))
)),
fluidRow(column(12, div(style = "height:100px",
selectInput("EVENT", h5(strong(em("EVENTS"))),
choices = c("All", unique(as.character(OTC$Event))),
selected = "All", multiple = TRUE))
)),
fluidRow(column(12, div(style = "height:100px",
selectInput("LEVEL", h5(strong(em("LEVEL OF ANALYSIS"))),
choices = unique(c("activity","log","trace","case","resource","resource-activity")),
selected = "activity", multiple = FALSE))
)),
fluidRow(column(12, div(style = "height:100px",
selectInput("UNITS", h5(strong(em("UNIT OF TIME"))),
choices = unique(c("days","hours","mins")),
selected = "days", multiple = FALSE))
)),
fluidRow(column(12, div(style = "height:100px",
selectInput("TYPE", h5(strong(em("TRACE TYPE"))),
choices = unique(c("frequent","infrequent")),
selected = "infrequent", multiple = FALSE))
)),
fluidRow(column(12, div(style = "height:100px, padding:1px",
dateRangeInput("TIME", h5(strong(em("DATE RANGE"))),
start = min(substr(OTC$Timestamp,0,10)),
min = min(substr(OTC$Timestamp,0,10)),
max = max(substr(OTC$Timestamp,0,10)),
end = max(substr(OTC$Timestamp,0,10))))
)),
fluidRow(column(12, offset = 2, useShinyalert(),
actionButton(inputId = "PLOT", label = "PLOT", width = "40%", height = "40%",
style = "color: #fff; background-color: #337ab7;border-color: #2e6da4")
)),
fluidRow(column(12, div(style = "height:200px")
)),
fluidRow(column(12, div(strong(em("This app has been designed by Shiivong Birla, a Data Science
Postgraduate at Monash University, Melbourne.")))))
),
dashboardBody(
tags$head(tags$style(HTML('
.main-header .logo {
font-family: "Georgia", Times,
"Times New Roman",
font-weight: bold;
font-size: 24px;
font-style: italic;
}
'))),
fluidRow(
tabBox(height = "1100px", width = "1000px",
tabPanel(title = tagList(icon("project-diagram", class = "fas fa-project-diagram")
, "PROCESS SUMMARY"),
box(grVizOutput("Pr_map"), status = "primary", solidHeader = TRUE,
title = "PROCESS MAP", width = 8, height = 612, collapsible = TRUE),
box(tableOutput("n_activities"), status = "primary",
title = "# of Activities", width = 3, height = 85, collapsible = TRUE),
box(tableOutput("n_activity_instances"), status = "primary",
title = "# of Activity Instances", width = 3, height = 85,
collapsible = TRUE),
box(tableOutput("n_cases"), status = "primary",
title = "# of Cases", width = 3, height = 85, collapsible = TRUE),
box(tableOutput("n_events"), status = "primary",
title = "# of Events", width = 3, height = 85, collapsible = TRUE),
box(tableOutput("n_resources"), status = "primary",
title = "# of Resources", width = 3, height = 85, collapsible = TRUE),
box(tableOutput("n_traces"), status = "primary",
title = "# of Traces", width = 3, height = 85, collapsible = TRUE)
),
tabPanel(title = tagList(icon("th-list", lib = "glyphicon"), "TABLE OUTPUT"),
DT::dataTableOutput("table")
),
tabPanel(title = tagList(icon("user", class = "fas fa-users"), "RESOURCE ANALYSIS"),
box(title = "PRECEDENCE MATRIX",status = "primary",solidHeader = TRUE,
collapsible = TRUE, plotOutput("prcn_Matr")),
box(title = "RESOURCE FREQUENCY",status = "primary",solidHeader = TRUE,
collapsible = TRUE, plotOutput("resource_frequency")),
box(grVizOutput("resource_map"), status = "primary", solidHeader = TRUE,
title = "RESOURCE MAP", collapsible = TRUE),
box(title = "RESOURCE SPECIALIZATION",status = "primary",solidHeader = TRUE,
collapsible = TRUE, plotOutput("resource_specialization"))
),
tabPanel(title = tagList(icon("clock", class = "fas fa-clock"), "TIME ANALYSIS"),
box(title = "PROCESSING TIME",status = "primary",solidHeader = TRUE,
collapsible = TRUE, plotOutput("process_time"), width = 97),
box(title = "IDLE TIME",status = "primary",solidHeader = TRUE,
collapsible = TRUE, plotOutput("idle_time")),
box(title = "THROUGHPUT TIME",status = "primary",solidHeader = TRUE,
collapsible = TRUE, plotOutput("throughput_time"))
),
tabPanel(title = tagList(icon("sort-by-attributes-alt", lib = "glyphicon"),
"ACTIVITY ANALYSIS"),
box(title = "START ACTIVITIES", status = "primary", solidHeader = TRUE,
collapsible = TRUE, plotOutput("start_activity")),
box(title = "END ACTIVITIES", status = "primary", solidHeader = TRUE,
collapsible = TRUE, plotOutput("end_activity")),
box(title = "ACTIVITY FREQUENCY", status = "primary", solidHeader = TRUE,
collapsible = TRUE, plotOutput("activity_frequency")),
box(title = "ACTIVITY PRESENCE", status = "primary", solidHeader = TRUE,
collapsible = TRUE, plotOutput("activity_presence")
)
),
tabPanel(title = tagList(icon("trace", class = "fas fa-map-marked-alt"),
"TRACE ANALYSIS"),
box(title = "TRACE EXPLORER", status = "primary", solidHeader = TRUE,
collapsible = TRUE, plotOutput("trace_explorer"), width = 97),
box(title = "TRACE COVERAGE", status = "primary", solidHeader = TRUE,
collapsible = TRUE, plotOutput("trace_coverage")),
box(title = "TRACE LENGTH", status = "primary", solidHeader = TRUE,
collapsible = TRUE, plotOutput("trace_length")
)
)
)
)
))
# Server side design
server <- function(input, output) {
output$mytabs <- renderUI({
nTabs = input$nTabs
myTabs = lappy(paste("Tab", 1:nTabs), tabPanel)
do.call(tabsetPanel, myTabs)
})
observeEvent(input$PLOT, {
progress <- shiny::Progress$new()
on.exit(progress$close())
progress$set(message = "Computing plot values", value = 0)
n <- 10
for (i in 1:n) {
progress$inc(1/n, detail = paste(i*10,"% completed"))
Sys.sleep(0.5)
}
progress$set(message = "Plot values computed successfully!")
Resource_filtered <- input$R_ID
Time <- input$TIME
Event_filtered <- input$EVENT
Activity_frequency_level <- input$LEVEL
Activity_unit_level <- input$UNITS
Trace_type <- input$TYPE
OTC_Filtered <- OTC
if(Resource_filtered != "All") {
OTC_Filtered <- OTC %>% filter(Resource == Resource_filtered)
}
if(Event_filtered != "All") {
OTC_Filtered <- OTC %>% filter(Event == Event_filtered)
}
OTC_Filtered <- as.data.frame(OTC_Filtered)
O2C <- bupaR::eventlog(eventlog = OTC_Filtered,
case_id = "Case_ID",
activity_id = "Event",
activity_instance_id = "Key_Event",
timestamp = "Timestamp",
lifecycle_id = "Status",
resource_id = "Resource",
order = "auto")
O2C <- O2C %>% filter_time_period(interval = Time)
if(nrow(O2C) == 0) {
output$act_frq <- renderPlot(plot.new())
output$Pr_map <- renderGrViz(plot.new())
output$prcn_Matr <- renderPlot(plot.new())
output$table <- renderDataTable(plot.new())
shinyalert("Data not sufficient. Make some other selection!", type = "warning")
}
else {
output$table <- renderDataTable({ O2C[1:6] })
output$activity_frequency <- renderPlot(
if(nrow(O2C) == 0) {
plot.new()
}
else {
validate(
need(Activity_frequency_level == c("log", "trace","case","activity"), "Please select LEVEL OF ANALYSIS as either log, trace, case or activity!")
)
O2C %>% activity_frequency(level = Activity_frequency_level) %>% plot()
}
)
output$Pr_map <- renderGrViz({
O2C %>% process_map(rankdir = "TB", fixed_edge_width = FALSE, render = TRUE)
})
output$prcn_Matr <- renderPlot({
O2C %>% precedence_matrix() %>% plot()
})
output$n_activities <- renderText({
O2C %>% n_activities()
})
output$n_activity_instances <- renderText({
O2C %>% n_activity_instances()
})
output$n_cases <- renderText({
O2C %>% n_cases()
})
output$n_events <- renderText({
O2C %>% n_events()
})
output$n_resources <- renderText({
O2C %>% n_resources()
})
output$n_traces <- renderText({
O2C %>% n_traces()
})
output$idle_time <- renderPlot({
validate(
need(Activity_frequency_level == c("resource", "log", "case"), "Please select LEVEL OF ANALYSIS as resource, log or case!")
)
O2C %>% idle_time(level = Activity_frequency_level, units = Activity_unit_level) %>% plot()
})
output$process_time <- renderPlot({
patients$employee <- as.character(patients$employee)
patients$employee[patients$employee == "r1"] <- "Katherine" # Renaming resources again
patients$employee[patients$employee == "r2"] <- "Jonathan"
patients$employee[patients$employee == "r3"] <- "Andrea"
patients$employee[patients$employee == "r4"] <- "Steven"
patients$employee[patients$employee == "r5"] <- "Julia"
patients$employee[patients$employee == "r6"] <- "Amy"
patients$employee[patients$employee == "r7"] <- "Jerry"
patients %>% processing_time(level = Activity_frequency_level, units = Activity_unit_level) %>% plot()
})
output$throughput_time <- renderPlot({
validate(
need(Activity_frequency_level == c("log","case"), "Please select LEVEL OF ANALYSIS as either log or case!")
)
O2C %>% group_by(resource_id = Resource) %>% throughput_time(level = Activity_frequency_level, units = Activity_unit_level) %>% plot()
})
output$resource_frequency <- renderPlot({
validate(
need(Activity_frequency_level == c("log","resource","case","resource-activity","activity"), "Please select LEVEL OF ANALYSIS as either log, resource, resource-activity, activity or case!")
)
O2C %>% resource_frequency(level = Activity_frequency_level) %>% plot()
})
output$resource_map <- renderGrViz({
O2C %>% resource_map()
})
output$resource_specialization <- renderPlot({
validate(
need(Activity_frequency_level == c("resource","activity","log"), "Please select LEVEL OF ANALYSIS as either resource, log or activity!")
)
O2C %>% resource_specialisation(level = Activity_frequency_level) %>% plot()
})
output$start_activity <- renderPlot({
validate(
need(Activity_frequency_level == c("resource","resource-activity","activity"), "Please select LEVEL OF ANALYSIS as either resource, resource-activity, or activity!")
)
O2C %>% start_activities(level = Activity_frequency_level) %>% plot()
})
output$end_activity <- renderPlot({
validate(
need(Activity_frequency_level == c("resource","resource-activity","activity"), "Please select LEVEL OF ANALYSIS as either resource, resource-activity, or activity!")
)
O2C %>% end_activities(level = Activity_frequency_level) %>% plot()
})
output$activity_presence <- renderPlot({
O2C %>% activity_presence() %>% plot()
})
output$trace_explorer <- renderPlot({
O2C %>% trace_explorer(type = Trace_type) %>% plot()
})
output$trace_coverage <- renderPlot({
validate(
need(Activity_frequency_level == c("trace","log","case"), "Please select LEVEL OF ANALYSIS as either log, trace or case!")
)
O2C %>% trace_coverage(level = Activity_frequency_level) %>% plot()
})
output$trace_length <- renderPlot({
validate(
need(Activity_frequency_level == c("case","log","trace"), "Please select LEVEL OF ANALYSIS as either log, trace or case!")
)
O2C %>% trace_length(level = Activity_frequency_level) %>% plot()
})
}
})
}
shinyApp(ui = ui, server = server)