if (!require("tidyverse")) install.packages("tidyverse")
## Loading required package: tidyverse
## ── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ──
## ✔ dplyr     1.1.4     ✔ readr     2.1.5
## ✔ forcats   1.0.0     ✔ stringr   1.5.1
## ✔ ggplot2   3.4.4     ✔ tibble    3.2.1
## ✔ lubridate 1.9.3     ✔ tidyr     1.3.1
## ✔ purrr     1.0.2     
## ── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──
## ✖ dplyr::filter() masks stats::filter()
## ✖ dplyr::lag()    masks stats::lag()
## ℹ Use the conflicted package (<http://conflicted.r-lib.org/>) to force all conflicts to become errors
if (!require("tidycensus")) install.packages("tidycensus")
## Loading required package: tidycensus
library(tidyverse)
library(tidycensus)

TNGPData <- read.csv("https://drkblake.com/wp-content/uploads/2024/02/TNGPData.csv")
DRW_ZIPs <- read.csv("https://drkblake.com/wp-content/uploads/2024/02/DRW_ZIPs.csv")

MergedData <- left_join(DRW_ZIPs,
                        TNGPData,
                        by = join_by(ZIP == ZCTA))

head(MergedData, 10)
##      ZIP GParents_E GParents_M
## 1  37013        898        245
## 2  37015        229        121
## 3  37027         72         42
## 4  37064        120         81
## 5  37072        405        161
## 6  37076        164         91
## 7  37080         33         28
## 8  37115        287        145
## 9  37122        277        139
## 10 37135         37         40