adjusted all scripts to dynamically generate dates for subtitles and captions
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e5017e9e8a
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6 changed files with 55 additions and 21 deletions
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@ -16,11 +16,11 @@ for (file in list.files(path = "data/TOPS/", pattern = "crash-data-download")) {
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message(paste("importing data from file: ", file))
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year <- substr(file, 21, 24)
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csv_run <- read_csv(file = paste0("data/TOPS/",file), col_types = cols(.default = "c"))
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csv_run["retreive_date"] <- file.info(file = paste0("data/TOPS/",file))$mtime
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TOPS_data[[file]] <- csv_run
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}
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rm(csv_run, file, year)
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TOPS_data <- bind_rows(TOPS_data)
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## clean up data ----
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TOPS_data <- TOPS_data %>%
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mutate(date = mdy(CRSHDATE),
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@ -31,6 +31,9 @@ TOPS_data <- TOPS_data %>%
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mutate(month = month(date, label = TRUE),
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year = as.factor(year(date)))
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retrieve_date <- max(TOPS_data %>% filter(year %in% max(year(TOPS_data$date), na.rm = TRUE)) %>% pull(retreive_date))
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# Injury Severy Index and Color -----
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injury_severity <- data.frame(InjSevName = c("No apparent injury", "Possible Injury", "Suspected Minor Injury","Suspected Serious Injury","Fatality"),
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code = c("O", "C", "B", "A", "K"),
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@ -138,7 +141,10 @@ tag.map.title <- tags$style(HTML("
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"))
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title <- tags$div(
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tag.map.title, HTML("Pedestrians & Bicyclists hit by cars</br>2017-2023")
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tag.map.title, HTML(paste0("Pedestrians & Bicyclists involved in a crash</br>",
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min(year(TOPS_data$date), na.rm = TRUE),
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" - ",
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max(year(TOPS_data$date), na.rm = TRUE)))
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)
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tag.map.subtitle <- tags$style(HTML("
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@ -156,13 +162,15 @@ tag.map.subtitle <- tags$style(HTML("
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"))
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subtitle <- tags$div(
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tag.map.subtitle, HTML("data from UW TOPS lab - retrieved 3/2024</br>per direction of the WisDOT Bureau of Transportation Safety")
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tag.map.subtitle, HTML(paste0("data from UW TOPS lab - retrieved ",
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strftime(retrieve_date, format = "%m/%Y"),
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"</br>per direction of the WisDOT Bureau of Transportation Safety"))
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)
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leaflet() %>%
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addControl(title, position = "topleft", className="map-title") %>%
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addControl(subtitle, position = "bottomleft", className="map-subtitle") %>%
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addProviderTiles(providers$Stadia.AlidadeSmooth) %>%
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# addControl(title, position = "topleft", className="map-title") %>%
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# addControl(subtitle, position = "bottomleft", className="map-subtitle") %>%
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addProviderTiles(providers$Stadia.AlidadeSmooth) %>%
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addCircleMarkers(data = Pedestrian_Crash_Data,
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lng=Pedestrian_Crash_Data$longitude,
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lat=Pedestrian_Crash_Data$latitude,
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@ -172,6 +180,9 @@ leaflet() %>%
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color = "black",
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weight = 1,
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fillOpacity = 0.8,
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label = lapply(paste0("<b>", Pedestrian_Crash_Data$CrashDate, "</b></br>",
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Pedestrian_Crash_Data$PedestrianInjurySeverity, "</br>",
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"pedestrian age: ", Pedestrian_Crash_Data$PedestrianAge), htmltools::HTML),
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group = "Crash Points") %>%
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addLegend(position = "bottomleft", labels = injury_severity$InjSevName, colors = injury_severity$color, group = "Crash Points", title = "Injury Severity") %>%
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groupOptions(group = "Crash Points", zoomLevels = 10:20) %>%
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@ -188,6 +199,9 @@ leaflet() %>%
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color = "black",
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weight = 1,
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fillOpacity = 0.7,
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label = lapply(paste0("<b>", str_to_title(County_Crash_Data$County), " County</b></br>",
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"mean pedestrian crashes/year: ", round(County_Crash_Data$MeanCrashes,0), "</br>",
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"crashes/100,000 residents: ", round(County_Crash_Data$CrashesPerPopulation,0)), htmltools::HTML),
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group = "Counties") %>%
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addLegend(position = "bottomleft", pal = county_pal, values = County_Crash_Data$CrashesPerPopulation, group = "Counties", title = "Mean Crashes/Year in County</br>(per 100,000 residents)") %>%
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# addLegendSize(position = "bottomright", color = "black", shape = "circle", values = County_Crash_Data$value.y, group = "Counties", title = "Population of County") %>%
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