The Data Inquiry Lab (DIL) provides support for student-led quantitative data management, visualization, and analysis. From workshops, and in-classroom demonstrations, to one-on-one consultation, the DIL’s purpose is to develop practical data skills of GVSU students, faculty, and staff.
The DIL operates during the fall and winter semesters. The lab is closed during the spring to summer term, 2017.
The DIL is managed by Faculty Fellow Whitt Kilburn, Associate Professor of Political Science, Faculty Associate Gerald Shoultz, Associate Professor of Statistics, with Graduate Assistants Keith Fredlund and Peter Eklund, M.S. Candidates in Biostatistics.
For current students, please fill out a brief questionnaire to schedule an appointment. Faculty and staff should contact Whitt Kilburn, firstname.lastname@example.org
All current Students, Faculty, and Staff are welcome at the following workshops. Register via Sprout (https://www.gvsu.edu/sprout/) or by email to Whitt Kilburn, email@example.com.
SPSS (Re)fresher Learn to use the IBM SPSS point-and-click interface for data import, descriptive statistics, and fundamental visualizations. The workshop is intended for those new to the SPSS system and others needing a refresher on basic skills. Instructor: Gerald Shoultz
Monday, January 23rd @ 11am-1pm, LIB 001 (Mary I. Pew library basement lab)
Wednesday, January 25th @ 10am-12pm, LIB 001 (Mary I. Pew library basement lab)
Intermediate SPSS Learn to use the SPSS Chart Editor for data visualization and Transform capabilities for data management.
Wednesday March 1 @ 10am-12pm, LIB 001 (Mary I. Pew library basement lab)
A SAS (Re)fresher Learn to code basic SAS procedures for data import, descriptive statistics, and fundamental visualizations. The workshop is intended for those new to the SAS system and others needing a refresher on basic SAS procedures. Instructor: Gerald Shoultz
Wednesday, Feb 1st @ 10am-12pm, Henry 113
Wednesday, March 22nd @ 10am-12pm, LIB 001 (Mary I. Pew library basement lab)
An Introduction to R A workshop intended for those totally new to the R statistical programming environment. Learn to use R functions for data import, install packages for data visualization, and where to go for help and guidance on more advanced usage. Instructor: Data Inquiry Lab staff
Friday, February 17 @ 11 am to 1 pm, LIB 001 (Mary I. Pew library basement lab)
Thursday, February 23 @ 11 am to 1 pm, LIB 001 (Mary I. Pew library basement lab)
Friday, January 27th @ 11am-1pm, Henry 113
Social Media Data Analysis with R
Thursday, March 30 @ 11am-1pm, LIB 001
Stylometry with R
Friday, April 14 @ 11 am to 1 pm, LIB 001
More information coming soon!