Assignment 3
Salomon
2023-09-27
#Q1
library(tidycensus)
#Q2
census_api_key("0d539976d5203a96fa55bbf4421110d4b3db3648",install="TRUE", overwrite = TRUE)## Your original .Renviron will be backed up and stored in your R HOME directory if needed.## Your API key has been stored in your .Renviron and can be accessed by Sys.getenv("CENSUS_API_KEY").
## To use now, restart R or run `readRenviron("~/.Renviron")`## [1] "0d539976d5203a96fa55bbf4421110d4b3db3648"var <- c('B03002_012E','B03002_003E','B03002_004E','B01001_001E', 'B19013_001E')
Bexar_segregation <- get_acs(geography = "tract",
variables = var,
county = "Bexar",
state = "TX",
output="wide",
geometry = TRUE)## Getting data from the 2017-2021 5-year ACS## Downloading feature geometry from the Census website. To cache shapefiles for use in future sessions, set `options(tigris_use_cache = TRUE)`.##
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names(Bexar_segregation)[3] <- "Hispanic"
names(Bexar_segregation)[5] <- "White"
names(Bexar_segregation)[7] <- "Black"
names(Bexar_segregation)[9] <- "Total"
names(Bexar_segregation)[11] <- "HHincome"
Bexar_segregation$B03002_012M <- NULL
Bexar_segregation$B03002_003M <- NULL
Bexar_segregation$B01001_001M <- NULL
Bexar_segregation$B19013_001M <- NULL
Bexar_segregation$B03002_004M <- NULL
#Q4
Bexar_segregation$pct_hisp <- 100*Bexar_segregation$Hispanic/Bexar_segregation$Total
Bexar_segregation$pct_white <- 100*Bexar_segregation$White/Bexar_segregation$Total
Bexar_segregation$pct_black <- 100*Bexar_segregation$Black/Bexar_segregation$Total
#Q5
write.csv(Bexar_segregation, "C:/Users/salom/OneDrive/School Stuff/UTSA/Grad/Fall 2023/Urban_Planning_Methods/bexar_seg.csv")
#Q6
library(tmap)## Warning: package 'tmap' was built under R version 4.2.3## Breaking News: tmap 3.x is retiring. Please test v4, e.g. with
## remotes::install_github('r-tmap/tmap')library(sf)## Linking to GEOS 3.9.3, GDAL 3.5.2, PROJ 8.2.1; sf_use_s2() is TRUEtm_shape(Bexar_segregation) +tm_fill(col = "pct_hisp")
tm_shape(Bexar_segregation) +tm_fill(col = "pct_white")
tm_shape(Bexar_segregation) +tm_fill(col = "pct_black")
#Q7
library(ggplot2)## Warning: package 'ggplot2' was built under R version 4.2.3ggplot(data = Bexar_segregation, aes(x = pct_hisp, y = HHincome)) +
geom_point()## Warning: Removed 4 rows containing missing values (`geom_point()`).