01 · UPLOAD
Start with your data.
Drop your file. AI reads the structure.
Upload a CSV or Excel file and the AI immediately scans column names, data types, and sample rows — no configuration needed. It understands what kind of data you have before you say anything.
Analysis Recommendation
Drop your data file here
CSV · Excel · JSON
survey_data.csv · 847 rows detected
| Column | Type | Role |
|---|---|---|
| age | Numeric | Variable |
| gender | Categorical | Group var |
| satisfaction | Numeric | Dependent |
| department | Categorical | Group var |
| tenure_years | Numeric | Variable |
02 · RECOMMEND
Describe your goal. Get the right method.
AI picks from 60+ methods — matched to your data.
Tell the AI what you're trying to find out. It scans the full analysis catalog and recommends every method that fits — based on your variable types, sample size, and research question. No wrong tests.
AI · Analysis Recommendation
I can see your dataset has 847 rows, 2 categorical group variables (gender, department), and a numeric outcome (satisfaction). What are you trying to find out?
Does job satisfaction differ by department?
Based on your data (1 categorical group, 1 numeric outcome, n=847), here are the best fits:
4 departments · continuous outcome · n>30
Non-parametric alternative to ANOVA
Robust when group sizes differ
03 · JUMP IN
Pick a method. Run it immediately.
One click from recommendation to result.
Select any recommended method and jump straight into the analysis — variables are pre-mapped, settings are pre-filled. No setup from scratch. The AI hands you off to the right lab with everything ready.
One-Way ANOVA · Pre-filled Setup
Variables · Auto-mapped from your data
Group Variable
department
Dependent Variable
satisfaction
Assumption Checks
04 · CHAT ABOUT RESULTS
Run the analysis. Then ask questions.
AI explains your results in plain language.
After any analysis runs, open the AI chat and ask anything — "what does this p-value mean?", "why is this coefficient negative?", "how do I report this in APA?". The AI has full context of your results and answers in plain language.
Chat about ANOVA results
📊 One-Way ANOVA result loaded as context
What does F(3,843) = 12.4 mean?
F(3, 843) = 12.4 means the ANOVA compared 3 degrees of freedom between groups (your 4 departments) against 843 within-group df (847 rows minus 4 groups). The ratio of 12.4 is large — it says group differences are about 12× bigger than random variation within groups.
How do I report this in APA format?
APA 7th edition format for your result:
ALSO IN YOUR DATA LAB
More analysis tools.
Every lab is purpose-built for a different type of analysis — same interface, different lens.
Start with a question, not a method.
Upload your data, describe what you want to find out, and let the AI do the rest.