Data Analysis
14 statistical tests, one guided workflow
Upload a CSV, let the Analysis Agent recommend the right test, run it, and produce a publication-ready chart. You write the interpretation before the result is inserted.
Built for the way research actually happens
The Analysis Agent supports 14 statistical tests covering descriptive, inferential, and nonparametric statistics: independent, paired, and one-sample t-tests; one-way, two-way, and repeated-measures ANOVA; chi-square goodness-of-fit and independence; Pearson and Spearman correlation; simple and multiple regression; and the Mann-Whitney U and Kruskal-Wallis nonparametric tests.
It recommends the right test based on the shape of your data — number of groups, type of variables, normality — and explains why. It runs the test, produces a publication-ready chart, and gives you the test statistic, p-value, and effect size. You must write the interpretation before the result is inserted into your paper. No black boxes.
Three steps, every time
- 01
Upload your dataset
Drop in a CSV; the agent profiles it and surfaces the variables and their types.
- 02
Run the recommended test
The agent picks the right test, explains why, and runs it with a publication-ready chart.
- 03
Write the interpretation
You write what the result means before the chart is inserted into your paper.
What this gives you
- All 14 common statistical tests in one place
- Test recommendation based on your actual data shape
- Publication-ready charts with proper labels and legends
- Interpretation required before results are inserted
Pairs well with
Put Data Analysis to work today
Sign up free and try Data Analysis with your own research project.