Research-Ready Data Analysis. No Stats PhD Required.
Upload your dataset. Get descriptive stats, group comparisons, correlations, and research-ready summaries automatically.
No credit card required · 100 free credits on signup
CSV/Excel Upload
Upload any tabular dataset — surveys, experiments, clinical data
Auto Statistical Tests
AI selects appropriate tests based on your data type and research question
APA Results Tables
Outputs formatted results tables ready to paste into your paper
Visual Charts
Publication-ready charts and figures generated automatically
How It Works
From start to research-ready results in minutes.
Upload your dataset
Upload a CSV or Excel file. The AI auto-detects variable types, identifies potential issues (missing data, outliers), and proposes an analysis plan.
Describe your research question
Tell the AI what you want to know. "Is there a significant difference between groups?" or "What predicts outcome X?" — it selects the appropriate statistical test.
Get research-ready results
Receive formatted results tables, charts, written interpretation in APA style, and a plain-language summary — all ready to copy into your methods section.
| Group | M | SD | t |
|---|---|---|---|
| Intervention | 4.23 | 0.87 | t(246)=3.45* |
| Control | 3.71 | 0.93 |
Real Use Cases
See how researchers, students, and academics use this module in practice.
Dissertation Data Analysis
A student analyzes survey results for a dissertation methods chapter, running descriptive statistics, reliability tests, and correlation analyses on 200 Likert-scale responses.
Experimental Group Comparison
A researcher runs a t-test comparison between control and experimental groups, with the AI selecting the appropriate parametric or non-parametric test based on normality.
Public Health Analysis
A public health analyst compares disease rates across demographic groups, with chi-square tests and effect sizes automatically calculated and interpreted.
Survey Correlation Analysis
A social scientist identifies correlations in a large survey dataset, using the AI to run and interpret a Pearson/Spearman correlation matrix across 20+ variables.
APA Results Table Generation
A student generates APA-formatted results tables directly from raw CSV data, avoiding hours of manual table construction in Word.
Methods Section Summary
A researcher produces a publishable data summary for a methods section, with descriptive statistics and sample characteristics table ready to insert.
Who It's For
Built for the people who do serious academic work.
Research Students
Analyze dissertation data without advanced statistical training.
Health & Social Researchers
Run robust statistical analyses on complex datasets efficiently.
Academic Authors
Generate publication-ready tables and figures from raw data.
Why Docsphere?
See how we compare to other tools.
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Analyze Your Data FreeNo credit card required · 20 free credits on signup