Data & Statistics Research Guide

Students and faculty at GW have access to a variety of software packages for working with data, including statistical packages (e.g. SPSS and STATA), computational environments (e.g. MATLAB) and GIS tools (e.g. ArcGIS). Programming, software development, and quantitative reasoning support via consultations and tutoring are available to GW students and faculty as well.

Software Resources:

Software and Data Consultation Resources:

GW Libraries does not currently license qualitative data analysis software; however, there are options available for students and faculty.

Open Source, Free Analysis Tools:

Fee-based Analysis Tools:

These tools (some free, others subscription-based) are useful for developing data visualizations or analyzing data. Most of these sites have demos or help guides to assist you in learning the tools.

Datastream Tutorials

• Datastream Training provided by Thomson Reuters
• ​​Datastream 5.1 User Guide
• Datastream 5.1 Guide - Multimedia University SHDL (shorter overview)

Excel Tutorials

• Using Excel for Statistical Analysis (via LinkedIn Learning)
• Princeton University Library - Excel

QGIS Tutorials

• GeoAcademy

R & R Studio Tutorials

• Software Carpentry - Introduction to R
• R for Reproducible Scientific Analysis
• UCLA - IDRE - Resources to help you learn and use R

SPSS Tutorials

• CMU - SPSS Online Training Workshop
• UCLA - IDRE - Resources to help you learn and use SPSS

Stata Tutorials

• UCLA - IDRE - Resources to help you learn and use Stata
• Princeton University Library - Stata

Stat/Transfer Tutorials

• Stat/Transfer Manual