The Data Analysis Lab is a collaborative space where the UNCW community can get support with data, statistics, programming, visualization, AI-assisted analysis, and advanced computational methods.
Data Analysis & Statistics
Explore your data, select appropriate statistical methods, test assumptions, build models, and interpret results.
Programming & Data Workflows
Get help using tools such as R, Python, SPSS, Excel, and other computational approaches for cleaning, transforming, analyzing, and automating work with data.
Data Visualization
Turn complex information into meaningful visualizations and develop effective ways to communicate analytical results.
AI-Assisted Data Analysis
Explore responsible ways to incorporate generative AI and other AI tools into your data workflow. We can help with areas such as:
- AI-assisted coding and debugging
- Using AI to support data cleaning and transformation
- Exploring and documenting datasets
- Developing prompts and workflows for data analysis
- Evaluating and validating AI-generated code and analyses
- Using AI to support visualization and interpretation
- Understanding when AI is and is not appropriate for working with research data
Machine Learning & Advanced Methods
Discuss approaches for predictive modeling, machine learning, text and computational analysis, and other advanced analytical projects.
Research Collaboration
Planning a larger research project? The DAL can work with researchers and research teams on analytical strategy, computational workflows, reproducibility, visualization, and related data needs.