README.md

In natalieoshea/nyccensus: NYC Census 2020

nyccensus

The nyccensus package is a simple data-sharing package meant to ease the pains of accessing and wrangling publicly-available response rate data from the 2020 Decennial Census as well as other relevant demographic data from the American Community Survey at various geographic levels in New York City

Installation

You can install the current version of nyccensus from GitHub with:

# install.packages("devtools")
devtools::install_github("natalieoshea/nyccensus")

Example: run shiny examples

# nyccensus2020 map
nyccensus::runExample("nyccensus2020")

# bivariate maps
nyccensus::runExample("bivariate_maps")

Example: bivariate map

# install.packages("devtools", "tidyverse", "sf", "biscale")
# install_github('Chrisjb/basemapR')

# load libraries
library(tidyverse)
library(sf)
library(biscale)
library(basemapR)

# load data
map <- nyccensus::geo_nCode
df <- nyccensus::demos_nCode

# calculate bi-classes
df_bi <- bi_class(df, x = Language_LimitedEnglish_Total, y = HealthInsurance_NotCovered) %>%
  mutate(bi_class = ifelse(str_detect(bi_class, "NA"), NA, bi_class)) %>%
  select(GEO_ID, Language_LimitedEnglish_Total, HealthInsurance_NotCovered, bi_class)

# join data
map_df <- map %>%
  left_join(df_bi)

# map
ggplot() +
  base_map(st_bbox(map_df), basemap = "dark", increase_zoom = 2, nolabels = TRUE) +
  geom_sf(data = map_df, aes(fill = bi_class), color = "lightgrey",
          size = 0.1, show.legend = FALSE) +
  bi_scale_fill(pal = "DkBlue", dim = 3) +
  theme(axis.line = element_blank(),
        axis.text = element_blank(),
        axis.ticks = element_blank(),
        axis.title = element_blank(),
        panel.grid = element_blank(),
        panel.border = element_blank())

# bivariate legend
bi_legend(pal = "DkBlue", dim = 3, size = 16,
          xlab = "Limited English (%)",
          ylab = "No Health Insurance (%)")

natalieoshea/nyccensus documentation built on Jan. 21, 2022, 11:57 a.m.