crosstalk_3.Rmd

---
title: "Crosstalk File 3"
author: "ADJ: Interactive Maps"
date: "9/26/2022"
output:
  flexdashboard::flex_dashboard:
    theme: paper
    source_code: embed
---

```{r setup, include=FALSE}
# setting up R Markdown options
# We want to hide the code and only see the results
knitr::opts_chunk$set(echo = F)
# We don't want to see any warnings from our code
knitr::opts_chunk$set(warning = F)
# We don't want to see any messages
knitr::opts_chunk$set(message = F)
```

```{r install_packages}
# You must have the flexdashboard package installed
# Before knitting this R Markdown file
# install.packages("flexdashboard")
# This function checks if you don't have the correct packages installed yet
# If not, it will install it for you
packages <- c("tidyverse", "flexdashboard",
              "crosstalk", "leaflet", "DT")
if (length(setdiff(packages, rownames(installed.packages()))) > 0) {
  install.packages(setdiff(packages, rownames(installed.packages())), repos = "http://cran.us.r-project.org")  
}
library(tidyverse)
library(flexdashboard)
library(crosstalk)  
library(leaflet)   
library(DT)   
```

```{r load_and_clean_data}
# This example focuses on Louisiana
# Come back to this later if you want 
# to change the state we're visualizing
# NOTE: You'll need to change the starting
# latitude and longitude of the map code below
state <- read_csv("data/all_pharmacies_summarized.csv") %>% 
  filter(BUYER_STATE=="LA") %>% 
  select(-BUYER_ADDL_CO_INFO, -BUYER_ADDRESS2) %>% 
  arrange(per_person)
st <- SharedData$new(state)
```

Opioids in State {data-icon="ion-stats-bars"}
=====================================  

Column {data-width=200}
-------------------------------------

### Filters

```{r filter_section}
filter_select(
  id = "BUYER_COUNTY",
  label = "County",
  sharedData = st,
  group = ~BUYER_COUNTY
)
bscols(
  filter_checkbox(
    id = "BUYER_BUS_ACT",
    label = "Pharmacy type",
    sharedData = st,
    group = ~BUYER_BUS_ACT
  )
)
bscols(
  filter_slider(
    id = "per_person",
    label = "Pills per resident",
    sharedData = st,
    column = ~per_person,
    step = 10,
    round = TRUE,
    sep = "",
    ticks = FALSE
  )
)
```


Column {data-width=800}
-------------------------------------

### Datatable

```{r filterable_table}
datatable(st)
```


### Interactive map

```{r interactive_map}
print("Interactive map goes here")
```