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.

These are our preferred software tools for this area of expertise. Please contact us with any questions.

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