walkerke

library(tidycensus)
library(leaflet)
library(sf)
library(viridis)
options(tigris_use_cache = TRUE)

il1 <- get_acs(geography = "county", 
               variables = c(hhincome = "B19013_001"), 
               state = "IL", 
               geometry = TRUE) %>%

ehbick01

## Load Packages
library(tidycensus)
library(purrr)

## Grab Data
# Set API key
census_api_key("your_api_key_here")

# Identify state FIPS codes
us <- unique(fips_codes$state)[1:51]

walkerke

library(tidycensus)
library(tidyverse)

# If not set, un-comment below and install your Census API key (https://api.census.gov/data/key_signup.html)
# census_api_key("YOUR KEY HERE", install = TRUE)

get_acs(geography = "metropolitan statistical area/micropolitan statistical area", 
        variables = "DP03_0021PE", 
        summary_var = "B01003_001", 
        survey = "acs1", 

ehbick01

# -----------------------------------
# Pulling Historical Buoy Information
# October 2016
# -----------------------------------

## Load Packages
library(tidyverse)
library(xml2)
library(rvest)
library(RCurl)

benmarwick

---
title: "Auto-numbering and cross-referencing of figures and tables in rmarkdown"
output: html_document
---

NOTE: I recommend using the bookdown package and `output: html_document2` to make captions and cross-references more easily than the method described below. 

TODO: check this out: https://github.com/adletaw/captioner

Here's how to use: