Academic AI tools
Quantitative analysis
Analyze numerical data
Quantitative analysis tools assist with cleaning data, running statistical analyses, creating visualizations, and interpreting results.
Typical uses
- Data cleaning
- Descriptive statistics
- Visualization
- Statistical testing
- Exploratory data analysis
Things to remember
- AI may recommend inappropriate analyses.
- Statistical assumptions still need to be checked.
- Researchers remain responsible for selecting and interpreting methods.
Example tools
- Julius AI
- IBM SPSS
These examples illustrate the types of tools available in this category. Inclusion does not constitute a recommendation or endorsement by Concordia University Library.
