---
title: "Dynamic Crash Summaries"
output:
  html_document:
    toc: true
    toc_depth: 5
    toc_float:
      collapsed: false
      smooth_scroll: true
editor_options:
  chunk_output_type: console
---

# Input Data & Configuration

## Libraries
```{r libs, eval = TRUE, echo = TRUE, results = "show", warning = FALSE, error = TRUE, message = FALSE}
date()
rm(list=ls())
library(tidyverse)
library(RColorBrewer)
library(leaflet)
library(htmltools)
library(htmlwidgets)
library(plotly)
Sys.setenv(LANG = "en-US.UTF-8")
```


## Load TOPS data
```{r loadTOPS, eval = TRUE, echo = TRUE, results = "show", warning = FALSE, error = TRUE, message = FALSE}
load(file = "data/TOPS/TOPS_data.Rda")
load(file = "data/TOPS/vuln_roles.Rda")
load(file = "data/TOPS/retrieve_date.Rda")
load(file = "data/TOPS/injury_severity.Rda")
injury_severity_pal <- colorFactor(palette = injury_severity$color, levels = injury_severity$InjSevName)

```

## Summarize data by county
```{r summarizeData, eval = TRUE, echo = TRUE, results = "show", warning = FALSE, error = TRUE, message = FALSE}

county_summaries <- TOPS_data %>%
  group_by(CNTYNAME, year, ped_inj_name, vulnerable_role) %>%
  summarize(count = n())

```

## Make graphs
```{r makeGraphs, eval = TRUE, echo = TRUE, results = "show", warning = FALSE, error = TRUE, message = FALSE}

county_focus <- "MILWAUKEE"
county_focus <- unique(county_summaries %>% pull(CNTYNAME))

injury_focus <- c("Suspected Minor Injury", "Suspected Serious Injury", "Fatality")

wisconsin_crash_summary <- ggplotly(
ggplot(data = county_summaries %>% 
         filter(CNTYNAME %in% county_focus) %>% 
         filter(ped_inj_name %in% injury_focus) %>%
         group_by(year, ped_inj_name) %>%
         summarize(count = n()) %>%
         mutate(Year = year, "Injury severity" = ped_inj_name, "Number of crashes" = count)) +
  geom_col(aes(x = Year,
               y = `Number of crashes`,
               fill = `Injury severity`)) +
  scale_fill_manual(values = injury_severity_pal(injury_severity %>% filter(InjSevName %in% injury_focus) %>% pull(InjSevName))) +
  labs(title = "People walking and biking injured in car crashes in Wisconsin")
)

saveWidget(wisconsin_crash_summary, file = "figures/dynamic_crash_summaries/wisconsin_crash_summary.html", 
           selfcontained = TRUE,
           title = "Wisconsin Crash Summary")
```