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---
title: "Resources"
---
## Spatial Analysis in R
* [**Geocomputation with R**](https://geocompr.robinlovelace.net/)
* [**Spatial.ly blog**](https://spatial.ly/)
* [**Rspatial.org**](https://www.rspatial.org/)
## Data Visualization
* [Kieran Healy's **Data Visualization for Social Science**](https://socviz.co/)
* [R-DAVIS **Data Visualization Do's and Don'ts**](https://gge-ucd.github.io/R-DAVIS/lesson_visualization_dos.html)
* [**Shiny Interactive R Graph Catalog**](https://shiny.stat.ubc.ca/r-graph-catalog/)
* [**How to Display Data Badly (recent version)** by Karl Broman](https://www.biostat.wisc.edu/~kbroman/presentations/graphs2017.pdf)
## General R/Data Science Resources
* [Garrett Grolemund and Hadley Wickham's **R For Data Science**](https://r4ds.had.co.nz/)
* [Hadley Wickham's **Advanced R**](https://adv-r.had.co.nz/)