Statistical Analysis

Our statistical analysis experts consult with faculty and students to maximize the use of data in projects by:

  • Helping to identify and access data that are relevant for their work, such as economic indicators, public opinion, census/demographic data, health surveys, crime rates, election results, and other topics
  • Helping to clean up and format data to make them usable in data analysis applications such as Stata, SAS, SPSS, R, or ArcGIS. This can range from converting a data file from one format to another, to helping reshape and merge multiple data files into a single dataset, to writing up syntax consisting of macros and loops to perform more repetitive tasks.
Name
R
SAS
SPSS
Stat/Transfer
Stata
Name
LITS Scholarly Communications Office: Data Management
LITS Scholarly Communications Office: Research Data
Robert W. Woodruff Library: Data Resources Guide
Name
Title
Rob O'Reilly Head, Data Services