Joining data from an external data frame
When working with geographic data in R, you'll commonly want to join attribute information from an external dataset to it for mapping and spatial analysis. The sf package enables the use of the tidyverse *_join() functions for simple features objects for this purpose. In this exercise, you'll learn how to join data to a spatial dataset of legislative boundaries for the Texas House of Representatives that you've obtained using tigris.
Este exercício faz parte do curso
Analyzing US Census Data in R
Instruções do exercício
- Get a dataset of legislative district boundaries for Texas using the
state_legislative_districts()function. - Set the
houseparameter to"lower"to request data for the Texas House of Representatives. - Use the
left_join()function to merge a dataset of Texas House representatives to their legislative district boundaries.
Exercício interativo prático
Experimente este exercício completando este código de exemplo.
# Get boundaries for Texas and set the house parameter
tx_house <- ___(___ = "TX", ___ = "lower", cb = TRUE)
# Merge data on legislators to their corresponding boundaries
tx_joined <- ___(___, tx_members, by = c("NAME" = "District"))
head(tx_joined)