Skip to Main Content
It looks like you're using Internet Explorer 11 or older. This website works best with modern browsers such as the latest versions of Chrome, Firefox, Safari, and Edge. If you continue with this browser, you may see unexpected results.

Data Analysis

Data Analysis Help

letter-sized graphic stating same information as below text

Randall Library is now providing drop-in consultation hours for research data analysis in SPSS, R, and Excel. Students, faculty, and staff are welcome to stop in, unannounced, for help with a coding problem, determining how to incorporate the tool into a new research project, or for basic navigation of the tools.

Hours and Contact Options

Fall 2022 Drop-in Hours:  (Drop in hours will occur 8/30/2022 - 12/15/2022 for fall semester.)

  •     Tuesdays from 1pm - 5pm
  •     Thursdays from 1pm - 5pm
  •     Fridays from 12pm - 2pm

It is available in-person (in library room 1023H, which is in front of the Makerspace) and over Zoom (

If you're not available during these times, you may send an email to our Data Analysis graduate student Hawken Hass ( with details about the background and problems you are facing with your code (screenshots or code files could be helpful reference as well). During the next available drop-in hours, she will look into the issues and get back to you by email.

If you have questions or feedback about this service, please direct your inquiries to Lynnee Argabright, Research Data Librarian at UNCW (

About our data help desk consultant

Hawken Hass (she/her)
Statistical expertise in data wrangling, graphing, t-tests, ANOVA, correlation, linear regression, multiple regression, and logistic regression

Calculators at the Library

As of Fall 2022, Randall Library is now lending graphing calculators – TI-83 & 84 Plus, including 11 python-capable TI-84 Plus – for 24-hour loans. Refer to the Texas Instruments TI-83 and the TI-84 manuals for how to use them.

Check them out at the library's Digital Makerspace: