Data Services Class Descriptions

Some tutorials are held remotely and require NYU sign on to access, while others are held in person, without a remote component. Please note the correct modality and location of the tutorial when registering

• Basic familiarity with operating systems, files, and folders
• Knowledge of files and folders on Mac OS
• Familiarity with RStudio interface
• Understanding of functions and R documentation

• Download both tabular data and spatial data (i.e. shapefiles) and import them into R Studio for analysis.
• Join tabular data to spatial data in R Studio.
• Visualize spatial data and make choropleth maps in R Studio using the tmap package. 
• Query and subset the attribute tables of shapefiles based on specified criteria using dplyr (and make derivative spatial objects based on these queries). 
• Join different shapefiles together based on their relative spatial locations (i.e. carry out a spatial join) using the sf package.
• Project shapefiles from one coordinate reference system (CRS) to another using the sf package. 
• Interpret the output of a spatial join, and use it to derive novel information about variables of interest. 
• Write/export shapefiles from R Studio so that they can be used in other GIS software (such as ArcGIS or QGIS). 

Tutorial Documentation

• Data Visualization with Tableau
• Introduction to R
• Introduction to QGIS
• Data Cleaning for GIS