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ui.R
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ui.R
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#
# A Shiny web application to visualize NHS Workforce Statistics. February 2023
#
# Author: Prajwal Khairnar
#
# Data Source: https://digital.nhs.uk/data-and-information/publications/statistical/nhs-workforce-statistics/february-2023
#
#
data_staff = read.csv(file = 'data/NHS Workforce Statistics, February 2023 staff excluding medical.csv')
data_staff_network <- data_staff %>%
select(c(NHSE_Region_Name, ICS.name, Org.name)) %>%
group_by(NHSE_Region_Name, ICS.name) %>%
distinct() %>%
summarise(Organisation_count = n()) %>%
set_colnames(c("Region", "ICS", "Organisations"))
data_staff_org = data_staff_network %>%
group_by(Region) %>%
summarise("Organisations" = sum(Organisations))
regions_tooltip = paste(unique(data_staff$NHSE_Region_Name), collapse = ", ")
ics_tooltip = paste(unique(data_staff$ICS.name), collapse = ", ")
main_staff_group_tooltip = lapply(unique(data_staff$Main.Staff.Group), function(x) substring(x, first = 5))
main_staff_group_tooltip = paste(main_staff_group_tooltip, collapse = ", ")
staff_group1_tooltip = lapply(unique(data_staff$Staff.Group.1), function(x) substring(x, first = 5))
staff_group1_tooltip = paste(staff_group1_tooltip, collapse = ", ")
staff_group2_tooltip = lapply(unique(data_staff$Staff.Group.2), function(x) substring(x, first = 5))
staff_group2_tooltip = paste(staff_group2_tooltip, collapse = ", ")
staff_group2_tooltip = gsub("'","",staff_group2_tooltip)
care_setting_tooltip = lapply(unique(data_staff$Care.Setting), function(x) substring(x, first = 5))
care_setting_tooltip = paste(care_setting_tooltip, collapse = ", ")
level_tooltip = lapply(unique(data_staff$Level), function(x) substring(x, first = 5))
level_tooltip = paste(level_tooltip, collapse = ", ")
level_tooltip = gsub("'","",level_tooltip)
dashboardPage(
dashboardHeader(title = "NHS Workforce Statistics"),
dashboardSidebar(
sidebarMenu(
menuItem("Staff (Excluding Medical)",
tabName = "staff_exc_med",
icon = icon("fa-sharp fa-light fa-users", lib = "font-awesome"))
),
sidebarMenuOutput("help_text"),
htmlOutput("data_source")
),
dashboardBody(
tabItems(
tabItem(
tabName = "staff_exc_med",
tabsetPanel(type = "tabs",
tabPanel("Summary",
htmlOutput("valuebox_help_text"),
fluidRow(
valueBoxOutput("valueBox_Region", width = 3),
bsTooltip(id = "valueBox_Region",
title = regions_tooltip,
placement = "bottom"),
valueBoxOutput("valueBox_ICS", width = 3),
bsTooltip(id = "valueBox_ICS",
title = ics_tooltip,
placement = "bottom"),
valueBoxOutput("valueBox_Org", width = 3)
),
fluidRow(
valueBoxOutput("valueBox_Main_Staff_Group", width = 3),
bsTooltip(id = "valueBox_Main_Staff_Group",
title = main_staff_group_tooltip,
placement = "bottom"),
valueBoxOutput("valueBox_Staff_Group_1", width = 3),
bsTooltip(id = "valueBox_Staff_Group_1",
title = staff_group1_tooltip,
placement = "bottom"),
valueBoxOutput("valueBox_Staff_Group_2", width = 3),
bsTooltip(id = "valueBox_Staff_Group_2",
title = staff_group2_tooltip,
placement = "bottom"),
valueBoxOutput("valueBox_Care_Setting", width = 3),
bsTooltip(id = "valueBox_Care_Setting",
title = care_setting_tooltip,
placement = "bottom"),
valueBoxOutput("valueBox_Level", width = 3),
bsTooltip(id = "valueBox_Level",
title = level_tooltip,
placement = "bottom")
)
),
tabPanel("Plots",
verbatimTextOutput("Plot"),
titlePanel(" "),
fluidRow(
sidebarLayout(
sidebarPanel(
selectInput("region", HTML("Select Region<br/> (defaults to all regions)"),
choices = unique(data_staff$NHSE_Region_Name),
multiple = TRUE)
),
mainPanel(
column(
width = 12,
plotlyOutput("plot")
)
),
),
),
fluidRow(
sidebarLayout(
sidebarPanel(
selectInput("filter", HTML("Select Region<br/> (defaults to all regions)"),
choices = c("", unique(data_staff$NHSE_Region_Name)),
selected = NULL
# multiple = TRUE
)
),
mainPanel(
column(
width = 12,
plotlyOutput("org_plot")
),
),
),
)
),
tabPanel("Region Network",
htmlOutput("staff_network_text"),
visNetworkOutput("staff_network_graph", height = "600px")
)
)
) # End Tab item
) # End Tab ITEMS
) # End Dashboard Body
) # End Dashboard Page