---
title: "Census Data"
author: "Alicia Brown"
output: 
  flexdashboard::flex_dashboard:
    orientation: columns
    vertical_layout: fill
    social: menu
    source_code: embed
---

```{r setup, include=FALSE}
options(tigris_use_cache = TRUE)

library(dplyr)
library(flexdashboard)
library(knitr)
library(kableExtra)
library(mapview)
library(tidycensus)

#S2301_C01_013E: Total!!Estimate!!RACE AND HISPANIC OR LATINO ORIGIN!!Black or African American alone
acs_data_geo <- get_acs(geography = "county", variables = "S2301_C01_013E", state = "WA", survey = "acs5", geometry = TRUE, year = 2016)

acs_data <- get_acs(geography = "county", variables = "S2301_C01_013E", state = "WA", survey = "acs5", geometry = FALSE, year = 2016)
acs_data$Year = 2016
```

Column {data-width=600}
-----------------------------------------------------------------------

### Employment Status in Washington County for Black or African American alone (S2301_C01_013E)

* ACS Summary Variable: https://api.census.gov/data/2016/acs/acs5/subject/groups/S2301.html
* TidyCensus: https://walkerke.github.io/tidycensus/
* Census API Key: http://api.census.gov/data/key_signup.html

```{r}
mapview(acs_data_geo, zcol = "estimate", legend = TRUE)
```

Column {data-width=350}
-----------------------------------------------------------------------

```{r}
# subset for table view
summary_data <- acs_data %>%
  select(NAME,estimate,moe,Year) %>%
  rename(Name = NAME,
         Estimate = estimate,
         `MOE` = moe)

summary_data$Estimate <- format(acs_data$estimate, big.mark=",")

summary_data %>%
  kable() %>%
  kable_styling(bootstrap_options = c("striped", "hover"))
```