Update app.R
Browse files
app.R
CHANGED
@@ -341,12 +341,48 @@ server <- function(input, output, session) {
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# Construct a label/popup-like text
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labels <- sprintf(
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) %>% lapply(htmltools::HTML)
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leafletProxy("cartogramPlot", data = plot_data) %>%
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@@ -417,3 +453,4 @@ server <- function(input, output, session) {
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# Launch the Shiny App
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# =============================
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shinyApp(ui = ui, server = server)
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)
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# Construct a label/popup-like text
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# Construct an indicator function for clarity
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starIfSelected <- function(colName) {
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if (index_col == colName) "*" else ""
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}
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# Build a label/popup to show all columns
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labels <- sprintf(
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paste0(
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"<strong>Country:</strong> %s<br/>",
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"<strong>%sOverall:</strong> %s<br/>",
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"<strong>%sRepresentation Gap:</strong> %s<br/>",
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"<strong>%sEthnicity:</strong> %s<br/>",
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"<strong>%sGender:</strong> %s<br/>",
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"<strong>%sReligion:</strong> %s<br/>",
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"<strong>%sLanguage:</strong> %s"
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),
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# 1. Country
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ifelse(is.na(plot_data$Country), "N/A", plot_data$Country),
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# 2. Overall
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starIfSelected("Overall"),
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ifelse(is.na(plot_data$Overall), "N/A", plot_data$Overall),
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# 3. RepresentationGap
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starIfSelected("RepresentationGap"),
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ifelse(is.na(plot_data$RepresentationGap), "N/A", plot_data$RepresentationGap),
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# 4. Ethnicity
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starIfSelected("Ethnicity"),
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ifelse(is.na(plot_data$Ethnicity), "N/A", plot_data$Ethnicity),
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# 5. Gender
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starIfSelected("Gender"),
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ifelse(is.na(plot_data$Gender), "N/A", plot_data$Gender),
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# 6. Religion
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starIfSelected("Religion"),
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ifelse(is.na(plot_data$Religion), "N/A", plot_data$Religion),
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# 7. Language
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starIfSelected("Language"),
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ifelse(is.na(plot_data$Language), "N/A", plot_data$Language)
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) %>% lapply(htmltools::HTML)
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leafletProxy("cartogramPlot", data = plot_data) %>%
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# Launch the Shiny App
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# =============================
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shinyApp(ui = ui, server = server)
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