科研SAS：AI 科研统计与可视化分析助手
AI 自动完成专业统计分析与图表
Only for iPhone
$17.99 · Designed for iPhone. Not verified for macOS.
iPhone
DMSAS is an AI-driven statistical analysis tool that transforms raw data into interpretable, publishable, and reproducible conclusions quickly. It combines the professional capability of traditional statistical software with the intelligence of large language models, enabling researchers without coding backgrounds to perform high-quality analysis on mobile devices.
Core positioning: Let AI handle complex stats while you keep research judgment. Import CSV, select an analysis goal, describe your question – the system automatically completes data understanding, method selection, hypothesis testing, model calculation, result interpretation, and chart generation. Output is structured as text, tables, and charts, ready for papers or presentations.
Dataset management: Built-in module imports local CSV files, auto-identifies field types, missing values, scale, and basic statistics. Columns labeled as numeric, categorical, temporal, or textual. Card-based list supports preview, rename, delete, and quick entry into analysis workflows. Handles hundreds to tens of thousands of rows stably.
62 specialized analysis agents covering mainstream scenarios:
• Trend & change: line/area charts, trend tests, seasonal decomposition
• Group comparison: t-tests (independent/paired), ANOVA (one/multi-way), non-parametric tests, bar/box plots
• Correlation & regression: Pearson/Spearman/partial/canonical correlation, linear/logistic/polynomial/Poisson regression
• Proportion & composition: pie/donut/stacked bar charts, chi-square/Fisher’s exact test
• Distribution description: mean, median, SD, quartiles, skewness, kurtosis, histogram/density/Q-Q plot
• Cluster & classification: K-means, hierarchical clustering, decision tree, scatter/radar/heatmap
• Multivariate evaluation: PCA, factor analysis, reliability/validity, SEM concept explanation
• Funnel & process: funnel chart, stage conversion rates
• Heatmap & matrix: correlation/frequency/difference matrices
• Radar & multi-dimension: multi-indicator comparison
Structured output: Every agent produces three block types – text (background, method, conclusion), table (statistics, coefficients, p-values, CIs), and chart (whitelist: line, bar, pie, scatter, funnel, heatmap, radar). Fixed schemas ensure stable rendering on iOS.
Advanced settings: Customize alpha, CI level, missing value handling (listwise/pairwise deletion, mean/regression imputation). Method stated explicitly in report.
Flexible LLM config: Users can bring their own API key. No forced binding. Data calls initiated by user, protecting privacy and autonomy.
Export & sharing: Full report as text or images. Charts in vector/high-res format. Bookmark favorite agents or result pages.
Privacy & security: Data stored locally. Only sent to configured API when user initiates analysis. No unauthorized upload or analysis. Clear privacy policy.
Typical use cases:
• Medical: clinical trial baseline comparison, efficacy tests, survival concepts
• Social science: survey reliability/validity, correlation, regression, difference tests
• Education: exam score analysis, behavior logs, group comparison, trend detection
• Economics/finance: panel/time-series correlation, regression, forecasting
• Bioinformatics: gene expression clustering, PCA, multidimensional visualization
• Students: course work, thesis, competition stats
Why ResearchSAS: No heavy installation, no syntax memorization, no manual plotting. Unlike generic AI chatbots, it’s optimized for research statistics with standardized output, rigorous method selection, fixed chart types, and reusable results. It’s a pocket statistical assistant integrating LLM understanding, statistical methodology, and mobile convenience.
Get started: Three steps – import CSV → select agent → describe your question. Let ResearchSAS turn data into scientific truth.
Ratings & Reviews
- This app hasn’t received enough ratings or reviews to display an overview.
Fixed layout issues for the input field and export button on the analysis results page
Fixed text truncation issue of the "Default" label on the model management page in English locale
Fixed placeholder text wrapping issue in the analysis input field
Improved visual spacing on the analysis loading page
Enhanced internationalization support to ensure system prompts correctly switch with device language
Fixed known issues and improved stability
The developer, 凌云 何, indicated that the app’s privacy practices may include handling of data as described below. For more information, see the developer’s privacy policy .
Data Not Collected
The developer does not collect any data from this app.
Accessibility
The developer has not yet indicated which accessibility features this app supports. Learn More
Information
- Seller
- 凌云 何
- Size
- 4.1 MB
- Category
- Reference
- Compatibility
Requires iOS 15.6 or later.
- iPhone
Requires iOS 15.6 or later. - iPod touch
Requires iOS 15.6 or later. - Mac
Requires macOS 12.5 or later and a Mac with Apple M1 chip or later. - Apple Vision
Requires visionOS 1.0 or later.
- iPhone
- Languages
English and 3 more
- English, Japanese, Simplified Chinese, Traditional Chinese
- Age Rating
4+
- 4+
- Copyright
- Copyright © 2026 . 科研SAS All rights reserved.
