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app.R
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source("app_code.R")
# ui
tabPanelfooter <- fluidRow(
column(width = 12,
# signature, GitHub link
p(style = "text-align:right;",
tags$a(href="https://bigbangdata.github.io/", "Marcelo Sanches"),
tags$a(href="https://github.com/BigBangData/TimesheetAnalysis",
img(src="GitHub-Mark-32px.png", height = 20), " BigBangData"))
)
)
ui <- navbarPage(
title = div(
style = "color:#430E8A; text-align: left; font-size: 22px; font-weight: 600",
tags$a(href="https://www.time.gov/", img(src="monty-python-clock.png", height = 50, width = 50)),
"Timesheet Analysis"
),
tabPanel(title = "Plots",
sidebarLayout(position = "left",
sidebarPanel(width = 2,
# drop-down for report
selectInput(
inputId = "report",
label = "Report",
choices = reports,
selected = reports[1]
),
tags$style(HTML("hr {border-top: 1px solid #000000;}")),
hr(),
# slider for year
sliderInput(
inputId = "year",
label = "Year",
min = as.integer(substr(min(mm$date), 1, 4)),
max = as.integer(substr(max(mm$date), 1, 4)),
value = "2022",
sep = "",
step = 1,
ticks = TRUE
),
# select quarter
radioButtons(
inputId = "quarter",
label = "Quarter",
choices = c("All", "1", "2", "3", "4"),
selected = "All",
inline = TRUE
),
# select month
selectInput(
inputId = "month",
label = "Month",
choices = c("All", month_list),
selected = "All"
),
# start date
dateInput(
inputId = "start_date",
label = "Start Date",
min = min(mm$date),
max = max(mm$date),
value = "2022-10-01"
),
# end date
dateInput(
inputId = "end_date",
label = "End Date",
min = min(mm$date),
max = max(mm$date),
value = "2022-10-31"
),
hr(),
# checkbox for term
checkboxGroupInput(
inputId = "term",
label = "Term",
choices = c("month", "quarter", "biz"),
selected = c("month", "quarter", "biz"),
inline = TRUE
),
# select client groups
radioButtons(
inputId = "client_group",
label = "Client Group",
choices = client_groups,
selected = client_groups[1], # All
inline = TRUE
),
# checkbox for client code
checkboxGroupInput(
inputId = "client_code",
label = "Client Code",
choices = c("All", rts$code),
selected = "All" # rts$code[rts$term == "month"]
)
),
mainPanel(width = 10,
plotOutput("viz", width="100%", height="800px"),
br(),
tabPanelfooter
)
)
),
tabPanel(title = "Data & Downloads",
sidebarLayout(position = "left",
sidebarPanel(width = 2,
downloadButton("download_csv", label = "Download Data"),
hr(),
downloadButton("download_plot", label = "Download Plot"),
br(), br(),
# select height
selectInput(
inputId = "height",
label = "Height (in)",
choices = c(6:16),
selected = 10
),
# select width
selectInput(
inputId = "width",
label = "Width (in)",
choices = c(10:20),
selected = 16
),
# select dpi
radioButtons(
inputId = "dpi",
label = "DPI (dots per inch)",
choices = c(400, 500, 600, 700, 800),
selected = 600
)
),
mainPanel(width = 10,
DTOutput("tab", width="100%", height="auto"),
br(),
tabPanelfooter
)
)
)
)
# server
server <- function(input, output, session) {
# year slider udpates available dates
observe({
beg_selected <- min(mm$date[mm$year == input$year])
end_selected <- max(mm$date[mm$year == input$year])
updateDateInput(
session
, "start_date"
, label = paste("Start Date")
, value = beg_selected
, min = beg_selected
, max = end_selected
)
updateDateInput(
session
, "end_date"
, label = paste("End Date")
, value = end_selected
, min = beg_selected
, max = end_selected
)
})
# quarter filter updates availble dates
observe({
year <- input$year
beg_selected <- min(mm$date[year(mm$date) == year])
end_selected <- max(mm$date[year(mm$date) == year])
# needs to be radio buttons
if ("1" == input$quarter) {
beg_selected <- c(paste0(year, '-01-01'))
end_selected <- c(paste0(year, '-03-31'))
}
if ("2" == input$quarter) {
beg_selected <- c(paste0(year, '-04-01'))
end_selected <- c(paste0(year, '-06-30'))
}
if ("3" == input$quarter) {
beg_selected <- c(paste0(year, '-07-01'))
end_selected <- c(paste0(year, '-09-30'))
}
if ("4" == input$quarter) {
beg_selected <- c(paste0(year, '-10-01'))
end_selected <- c(paste0(year, '-12-31'))
}
if ("All" == input$quarter) {
beg_selected <- beg_selected
end_selected <- end_selected
}
updateDateInput(
session
, "start_date"
, label = paste("Start Date")
, value = beg_selected
, min = beg_selected
, max = end_selected
)
updateDateInput(
session
, "end_date"
, label = paste("End Date")
, value = end_selected
, min = beg_selected
, max = end_selected
)
})
# month filter updates available dates independently
observe({
year <- input$year
beg_selected <- min(mm$date[year(mm$date) == year])
end_selected <- max(mm$date[year(mm$date) == year])
if (input$month %in% c("04", "06", "09", "11")) {
beg_selected <- c(paste0(year, '-', input$month, '-01'))
end_selected <- c(paste0(year, '-', input$month, '-30'))
} else if (input$month == "02") {
beg_selected <- c(paste0(year, '-', input$month, '-01'))
# account for leap years
if (as.numeric(year) %% 4 != 0) {
end_selected <- c(paste0(year, '-', input$month, '-28'))
} else {
end_selected <- c(paste0(year, '-', input$month, '-29'))
}
} else if (input$month == "All") {
beg_selected <- beg_selected
end_selected <- end_selected
} else {
beg_selected <- c(paste0(year, '-', input$month, '-01'))
end_selected <- c(paste0(year, '-', input$month, '-31'))
}
updateDateInput(
session
, "start_date"
, label = paste("Start Date")
, value = beg_selected
, min = beg_selected
, max = end_selected
)
updateDateInput(
session
, "end_date"
, label = paste("End Date")
, value = end_selected
, min = beg_selected
, max = end_selected
)
})
# client group filter to select client codes
observe({
choices <- c(rts$code)
selected <- c()
# cannot use 'else' since it skips eval; still evals in order
# works for radio buttons AND checkboxes with %in%
if (client_groups[1] %in% input$client_group) {
selected <- c(rts$code)
}
if (client_groups[2] %in% input$client_group) {
selected <- c()
}
if (client_groups[3] %in% input$client_group) {
selected <- c(rts$code[rts$term == "month"])
}
if (client_groups[4] %in% input$client_group) {
selected <- c(rts$code[rts$term == "quarter"])
}
if (client_groups[5] %in% input$client_group) {
selected <- c(rts$code[rts$type == "flat rate"])
}
if (client_groups[6] %in% input$client_group) {
selected <- c(rts$code[rts$type == "hourly"])
}
updateCheckboxGroupInput(
session
, "client_code"
, label = paste("Client Code")
, choices = choices
, selected = selected
)
})
# data table
output$tab <- renderDT({
# return_dfm is an abstraction that hides
# all the logic for each report, see app_code.R
dfm <- return_dfm(input, reports)
# config table object
table_obj <- DT::datatable(
dfm
, options = list(
searchHighlight = TRUE
, lengthMenu = list(c(50, 100, -1), c('50', '100', 'All'))
, pageLength = -1
)
)
# Format table
# proxy condition for: Sessions
if ('session_hs' %in% colnames(dfm)) {
out <- format_weekday(table_obj)
# proxy condition for: Daily Hours, Daily by Client
} else if ('day' %in% colnames(dfm) & !'rate' %in% colnames(dfm)) {
table_obj <- format_weekday(table_obj)
out <- make_totals_bold(table_obj, dfm)
# proxy condition for: Monthly, Quarterly Clients
} else if (('rate' %in% colnames(dfm)) & ('avg_hourly_rate' %in% colnames(dfm))) {
table_obj <- table_obj %>% formatCurrency(c('rate', 'avg_hourly_rate'))
out <- make_totals_bold(table_obj, dfm)
# proxy condition for: Monthly, Quarterly, Annual Reports
} else if ('revenue' %in% colnames(dfm)) {
table_obj <- table_obj %>% formatCurrency(c('revenue', 'avg_hourly_rate'))
out <- make_totals_bold(table_obj, dfm)
# proxy condition for: Monthly, Quarterly Hours
} else if ('pct_days_work' %in% colnames(dfm)) {
table_obj <- table_obj %>% formatPercentage('pct_days_work', 2)
out <- make_totals_bold(table_obj, dfm)
} else {
out <- data.frame(data='Report unavailable.')
}
return(out)
})
# data viz
output$viz <- renderPlot({
dfm_with_totals <- return_dfm(input, reports)
return_plot(dfm_with_totals, input, reports)
})
# download csv
output$download_csv <- downloadHandler(
filename = function() {
paste0(input$report, " ", Sys.Date(), ".csv", sep="")
}
, content = function(file) {
write.csv(return_dfm(input, reports), file, row.names=FALSE)
}
)
# download viz
output$download_plot <- downloadHandler(
filename = function() {
paste(input$report, " ", Sys.Date(), ".png", sep="")
}
, content = function(file) {
dfm_with_totals <- return_dfm(input, reports)
ggsave(file
, plot = return_plot(dfm_with_totals, input, reports)
, device = "png"
, units = "in"
, height = as.numeric(input$height)
, width = as.numeric(input$width)
, dpi = as.numeric(input$dpi)
)
}
)
}
# run app
shinyApp(ui = ui, server = server)