
This blog shows several different ways to visualize data from the tidycensus
package for R.
This blog shows several different ways to visualize data from the tidycensus
package for R.
Quarto provides easier-than-ever ways to create data-driven, reproducible documents. This blog demonstrates how to use custom code templates to easily replicate code chunks with a reproducible USGS streamgage example!
Tips and example R scripts for converting long-formatted data into wide tabular format
Improve your functions with helpful dataframe evaluation patterns.
Using the tidycensus
package to access and visualize American Community Survey (ACS) data.
Iterate your R code using the map() function from the purrr package.
Write functions in R that run better and are easier to understand.
Learn the ropes building your own functions in R using water data examples.
A new, experimental application for viewing groundwater levels with historical context and for generating site-level reports.