# Intro to R workshop

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Last week, I had a pleasure to conduct a workshop for graduate students and faculty in the Department of Geography and GIS at the University of Cincinnati. In two afternoons, a group of mostly beginners, learned a little bit about R, RStudio, data processing, and visualisation, as well as about spatial data analysis in R.

The workshop had four parts:

**Intro to R**. It introduces basics of R, such as assignment operator, functions, objects, classes, and data types. In this part participants also learn about very useful bits – keyboard shortcuts, how to get help, and what is RStudio project. Slides and data are available here**Intro to data processing**. It starts with how to index vectors and data frames. Afterwards, basic use of**dplyr**and**tidyr**are presented. This part ends with the introduction of the*%>%*operator. Slides and data are available here**Intro to data visualisation**. It explains idea behind**ggplot2**and shows how to create and modify plots in this package. At the end, two packages for interactive plots are introduced –**plotly**and**dygraphs**. Slides and data are available here**Intro to spatial analysis**. The last part give an introduction to spatial capabilities of R. Basics of vector data processing are shown with examples in**sf**and**sp**, and basic of raster data with the**raster**package. Spatial data visualisation is presented with**rasterVis**,**tmap**, and**leaflet**. This part ends with a description of many R packages for downloading of spatial data, such as**tigris**and**rnaturalearth**. Slides and data are available here

Moreover, each part ends with a list of useful resources – let me know if I missed something.

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