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Data Inquiry Lab (DIL)

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.  A list of workshops --- freely available to everyone in the GVSU community --- are listed below.

The DIL is managed by Faculty Fellow Whitt Kilburn, Associate Professor of Political Science, Faculty Associate Gerald Shoultz, Associate Professor of Statistics, with Graduate Assistant Varsha Ganagalla,  M.S. Candidate in Biostatistics.

Drop-in Hours and Appointments

Drop-in consultations begin Wednesday, September 6th and continue throughout the Fall 2017 semester, on days in which classes are in session.  Stop by LIB 135, in the Knowledge Market of the Mary I. Pew library on the Allendale campus. Speak with our Graduate Associate, Varsha Ganagalla, during the following hours: 

Monday through Thursday, 11am to 1 pm
Friday, 9am to 10:30am.

The DIL provides consultations on use of common statistical and data analysis software applications, from Excel, R, SAS, SPSS, and Stata to online, web-based applications such as Tableau and Plot.ly.  

Appointments are available outside of drop in hours. Students should please fill out a brief questionnaire to schedule an appointment.  Faculty and staff should contact Whitt Kilburn, kilburnw@gvsu.edu

Fall 2017 Workshops on Data Analysis

All students, faculty, and staff are welcome at the following workshops.  Register via Sprout (https://www.gvsu.edu/sprout/) or by email to Whitt Kilburn, kilburnw@gvsu.edu.

 

Introduction to R:
Wednesday, August 30, 1-12:50pm, Allendale campus, location LIB 001 (basement of Mary I. Pew library)
Thursday, September 14, 11-12:50pm, Allendale campus, location LIB 001 (basement of Mary I. Pew library)
Monday, September 18 11-12:50pm , Allendale campus, location LIB 001 (basement of Mary I. Pew library)

A workshop intended for those totally new to the R analysis system. Learn to use R for your own projects in the sciences and digital humanities.

 

SPSS Review:
Wednesday, September 6, 10-11:50 am, Allendale campus, location LIB 001 (basement of Mary I. Pew library)
Tuesday, September 12, 11-12:50 pm, Allendale campus,
 location LIB 001 (basement of Mary I. Pew library)
Learn to use the IBM SPSS point-and-click interface for data import, descriptive statistics, and fundamental visualizations.


SAS Review 
Wednesday, September 27, 10-11:50 am, Allendale campus, location Henry Hall TBA
Learn to code basic SAS procedures for data import, descriptive statistics, and fundamental visualizations.

 

Easy Data Visualization with Plot.ly
Thursday, October 12, 11am-12:50pm, Allendale campus, location LIB 001 (basement of Mary I. Pew library) 
Learn Plot.ly’s easy `plug and play’ system for data visualization; workshop will replicate graphics from The New York Times’ The Upshot”, from data collection to visualization.

 

Social Media Data Collection,  Visualization, and Analysis
Wednesday, October 25,  11-12:50pm, Allendale campus, location LIB 001 (basement of Mary I. Pew library)
Learn easy R tools for sampling Twitter streams. An overview of other social media tools.

 

Text as Data: Sentiment Analysis
Wednesday, November 8,  11-12:50pm, Allendale campus, location LIB 001 (basement of Mary I. Pew library)
An introduction to lexicon (dictionary) based analyses of text affect and tone; applications will include social media posts, open-end survey responses, and literary texts.

 

SPSS: Computing and Recoding  Variables, Chart Editor
Wednesday, November 1,10-11:50 am, Allendale campus, location LIB 001 (basement of Mary I. Pew library)
Learn to use the SPSS Chart Editor for data visualization and Transform capabilities for data management.

 

SPSS: Simple and Multiple Linear Regression 
Tuesday, November 14, 10-11:50 am, Allendale campus, location LIB 001 (basement of Mary I. Pew library)
Learn tools for estimating, interpreting, and diagnosing problems with simple and multiple linear regression

 

Text as Data: Stylometry
Wednesday, November 15, 11-12:50pm, Allendale campus, location LIB 001 (basement of Mary I. Pew library)
An introduction to the analysis of countable linguistic features of text documents, such as word and letter n-grams, to reveal differences in authorship and style.

 
 
 

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Our blog, datainquirylab.wordpress.com, illustrates data analysis methods and features DIL projects.