This session covers manipulating and restructuring data in one or more related data sets and introduces loops.
Software:

Computer workstations with Stata installed are available for in-person tutorials in Bobst 617. For remote tutorials, while some patrons decide to approach tutorials as a demonstration of the software, other patrons approach tutorials with a more “hands-on” approach and wish to interact with the software during the tutorial. If the latter is the case, we recommend referencing our supported software page for additional information on accessing/downloading the software prior to the tutorial.
Duration: 90 min

Room description:

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
Prerequisites:
Skills Taught / Learning Outcomes:
  • Sorting datasets
  • Subsetting datasets
  • Aggregating datasets (statistics by group/level)
  • Reshaping datasets
  • Merging and appending datasets
  • Loops (foreach, forvalues, while, if/else statements)
Class Materials:
 

Datasets

Syntax.do 
Related Classes:

Data Visualization with Tableau

Data Cleaning Using OpenRefine

Introduction to Research Data Management

Introduction to R
Additional Training Materials: guides.nyu.edu/stata
Feedback: bit.ly/feedbackds