Getting Walk-In Help

Getting Walk-In Help

The StatLab offers Walk-In Help sessions at multiple locations across the campus to support data analysis in a consultative setting.

Before you come for a Walk-In Help session, take a few minutes to get ready. There are four simple steps.

1. Read about the service 2. Find a consultant 3. Find a time 4. Get ready

How do Walk-In Help sessions work?

We work to make the service as accessible and valuable as possible.

  • There is no fee for the service
  • We welcome anyone affiliated with Yale University
  • There are not appointments, we help on a walk-in basis
  • We welcome you to use as many sessions as needed, but our team may limit the amount of time we work with you on a specific day if others are waiting
  • We can provide some basic information like recommending a consultant or location can over the phone, but consultations are only available in-person
  • The sessions are active two-way conversations, you'll need to work with our consultants as we suggest solutions

The best sessions are driven by your questions. We've got some suggestions on how to get ready for a session. Here are examples of questions you might ask us.

  • How do I import this dataset into SPSS?
  • Which tool is the best to learn for complex web scraping?
  • What does this error message in R mean?
  • How do I visualize these data?
  • How can I create lagged variables in Stata?
  • What type of regression model is appropriate for my data?
  • How do I know if my machine learning model is any good?

Even when questions don't have a single "right" answer, that's okay. We'll do our best to help you understand the options you have and make suggestions for your decision-making.

Walk-In Help sessions aren't always the best resource for your problem.

The StatLab has guidelines for supporting patrons enrolled in coursework.

Have a question?

Send us an email at statlab@yale.edu and we'll get back to you.

Acknowledgments

Did Walk-In Help unlock your problem? We're glad to hear that.

Here is suggested language that our patrons use in their acknowledgments.