List BPS publications containing in-depth analysis and statistical reports. Filter by year, month, domain, or keyword to narrow results.
MIT
472,903 tools. Updated 2026-08-24 04:10
"Programs for Statistical Analysis: R, STATA, SPSS" matching MCP tools:
- Identify the correct statistical test for any study design. Specify outcome type, design, group count, normality, and variance to receive test recommendation, assumptions, SPSS path, R code, and APA reporting template.MIT
- Export prepared ENAHO datasets to Stata, SPSS, CSV, Excel, or Parquet, optionally with value labels for Stata. Prevents truncated Excel files by refusing datasets over Excel's row limit.MIT
- Check the SPSS MCP server status to see which capabilities are available, including SPSS installation mode, path, library versions, and configuration. Call this first to determine which analysis tools are ready to use.MIT
- Profile any tabular dataset (CSV, Excel, SPSS, Stata) to obtain shape, data types, null percentages, unique counts, and distributions. Detects PII column names without modifying the file.AGPL 3.0
- Retrieve the unicefdata package API reference for Python, R, or Stata. Get function signatures, parameters, and usage examples to write reproducible scripts from conversational exploration.MIT
Matching MCP Servers
- AlicenseAqualityAmaintenanceAn MCP server that lets Large Language Models interact with Stata software to perform regression analysis and other statistical operations.4243AGPL 3.0
- AlicenseAqualityAmaintenanceEnables AI agents to drive IBM SPSS Statistics for statistical analysis and publication-quality chart generation through natural language, returning structured results and ensuring safe execution.51MIT
Matching MCP Connectors
Analyze user-submitted face photos with a complete report or 13 focused face-analysis tools.
Signals, technicals, regime and news for 1,000+ US/TR symbols. Data only, not investment advice.
- Analyze a single column's statistical properties including data type, null values, and numerical summary for data quality assessment and feature understanding.Apache 2.0
- Read data from SPSS .sav files as Markdown tables. Optionally select specific variables and set maximum rows, no SPSS installation required.MIT
- Catch SPSS syntax errors before executing your analysis. Validates syntax without running it, ensuring command correctness and avoiding failed runs.MIT
- Get historical hourly water temperature and flow data for Swiss Aare cities to perform trend analysis, comparisons, and statistical queries.MIT
- List all statistical tests supported by the advisor, including their SPSS menu paths, to help users find and run the correct test.MIT
- Inspect SPSS .sav file structure by reading variable names, types, labels, and value labels, producing a Markdown report without needing SPSS installed.MIT
- Execute SQL queries on Alibaba Cloud SLS logs to perform analysis, aggregation, and statistical calculations for monitoring and troubleshooting purposes.MIT
- Export knowledge-graph entities into JSON for downstream analysis. Load variants, proteins, or diseases into pandas, R, or bioinformatics pipelines to enable ML feature engineering and statistical modeling.Apache 2.0
- Retrieve support metadata for SPSS methods, including command family, support tier, coverage assertions, and documentation tags.MIT
- Summarize SPSS .sav files with case count, variables, and descriptives. No SPSS installation needed.MIT
- Convert CSV files to SPSS .sav format without requiring IBM SPSS Statistics. Leverages pandas and pyreadstat for direct conversion, saving output beside the CSV or to a specified path.MIT
- Run SPSS DESCRIPTIVES to compute descriptive statistics for numeric variables, returning N, mean, std deviation, min, max, and optional statistics. Requires IBM SPSS Statistics.MIT
- Run SPSS EXAMINE to assess normality and detect outliers in numeric variables, with optional diagnostic plots. Requires IBM SPSS Statistics.MIT
- Find analysis tools for your data or question. Uses semantic search across statistical and ML tools to match your dataset and query.MIT