Assignment 3
Mario Vallejo
2023-09-27
knitr::opts_chunk$set(echo = TRUE)
#Q1
library(tidycensus)
library(sf)## Linking to GEOS 3.11.2, GDAL 3.6.2, PROJ 9.2.0; sf_use_s2() is TRUElibrary(tmap)## The legacy packages maptools, rgdal, and rgeos, underpinning the sp package,
## which was just loaded, will retire in October 2023.
## Please refer to R-spatial evolution reports for details, especially
## https://r-spatial.org/r/2023/05/15/evolution4.html.
## It may be desirable to make the sf package available;
## package maintainers should consider adding sf to Suggests:.
## The sp package is now running under evolution status 2
## (status 2 uses the sf package in place of rgdal)## Breaking News: tmap 3.x is retiring. Please test v4, e.g. with
## remotes::install_github('r-tmap/tmap')#Q2
var <- c('B03002_012E','B03002_003E','B03002_004E','B01001_001E', 'B19013_001E')
Bexar_segregation <- get_acs(geography = "tract", variables = var, county = "Bexar",
state = "TX",output="wide", geometry = TRUE)## Getting data from the 2017-2021 5-year ACS## Downloading feature geometry from the Census website. To cache shapefiles for use in future sessions, set `options(tigris_use_cache = TRUE)`.##
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names(Bexar_segregation)[3] <- 'Hispanic'
names(Bexar_segregation)[5] <- 'White'
names(Bexar_segregation)[7] <- 'Black or African American'
names(Bexar_segregation)[9] <- 'Total'
names(Bexar_segregation)[11] <- 'HHincome'
Bexar_segregation$B03002_012M <- NULL
Bexar_segregation$B03002_003M <- NULL
Bexar_segregation$B03002_004M <- NULL
Bexar_segregation$B01001_001M <- NULL
Bexar_segregation$B19013_001M <- 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 or African American`/Bexar_segregation$Total
#Q5
write.csv(Bexar_segregation, "C:/Users/Mario/Documents/Wei CLASS Folder/bexar_seg1.csv")
#Q6
tm_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)
ggplot(data = Bexar_segregation, aes(x = pct_Hisp, y = HHincome)) +
geom_point()## Warning: Removed 4 rows containing missing values (`geom_point()`).