library(tidyverse)
library(readxl) # read excel files
<- "/home/ajackson/Dropbox/Rprojects/Curated_Data_Files/ZipPop/"
path
::opts_chunk$set(echo = TRUE) knitr
Texas Pop by Zip
Zipcodes
Texas
Texas Population by Zipcode, 2022
Read in Pop by zip from excel file
Downloaded excel file from https://www.texas-demographics.com/zip_codes_by_population which has pop figures for 2022.
Read in and check excel file
<- read_excel(paste0(path, "Texas_DemographicsByZipCode_sample.xlsx"),
df skip=6, col_names=FALSE, .name_repair="minimal") %>%
select(Zip=1, Pop=6)
# saveRDS(df, paste0(path, "Zipcode_Pop_2022.rds"))
Show the data
Let’s look at the data around Houston
%>%
df filter(stringr::str_detect(Zip, "^7700")) %>%
::gt() %>%
gt::fmt_number(
gtcolumns=2,
decimals=0
)
Zip | Pop |
---|---|
77002 | 18,800 |
77003 | 10,169 |
77004 | 35,506 |
77005 | 28,470 |
77006 | 24,006 |
77007 | 42,881 |
77008 | 38,496 |
77009 | 36,872 |