{
 "schema_version": 1,
 "generated": "2026-10-20",
 "id": "xu123-bob-baize--analyze-spss-sav-files-in-natural-language",
 "repo": "Xu123-Bob/Baize",
 "repo_url": "https://github.com/Xu123-Bob/Baize",
 "repo_slug": "xu123-bob-baize",
 "title": "Analyze SPSS .sav data files by describing the analysis",
 "page_title": "How to analyze SPSS .sav data files by describing the analysis with Baize",
 "summary": "Point Baize at an SPSS data file and ask for summaries or statistics in plain language.",
 "who": "A researcher or analyst with a survey or study dataset stored as an SPSS .sav file.",
 "problem": "Running SPSS analyses requires learning the menus or syntax for each new question.",
 "outcome": "Baize reads the .sav file through the SPSS MCP server and answers analysis questions in the terminal.",
 "steps": [
  "`pip install https://github.com/Xu123-Bob/Baize.git`",
  "`pip install -r requirements-data.txt`",
  "Install IBM SPSS Statistics (versions 20 to 31) with a valid license, then set the `SPSS_INSTALL_PATH` environment variable to the SPSS install folder. Full statistical analysis is mainly supported on Windows; on Linux or macOS only file mode is available.",
  "`baize`",
  "At the `>>> Decree:` prompt, describe the file and the analysis you want, for example reading the variable list and a descriptive summary."
 ],
 "agent_prompt": "Using the Baize CLI from the Xu123-Bob/Baize repo, ask it to open <path-to-sav-file> and produce a descriptive summary of its variables. Expected output: a variable list and summary statistics. Verify that the variable names in the output match the names shown in the file metadata.",
 "agents": [
  "any"
 ],
 "difficulty": "Advanced",
 "time": "1 hour",
 "basis": "readme",
 "caveat": "Full SPSS statistical analysis needs a locally installed and licensed IBM SPSS Statistics, and on Linux or macOS the tool only supports file mode.",
 "category": "Software and DevOps",
 "tags": [
  "Software and DevOps"
 ],
 "lang": "javascript",
 "requirements": [
  "Python 3.10 or newer with pip",
  "An API key for DeepSeek or another supported backend, or a local Ollama install",
  "Optional: IBM SPSS Statistics or a reachable SQL database, depending on the use case"
 ],
 "risk": "sensitive",
 "seen_in_the_wild": false,
 "mentioned_publicly": false,
 "risks": [],
 "best": false,
 "score": 0.9,
 "evidence": [],
 "url": "https://dedupedai.com/use-cases/xu123-bob-baize/analyze-spss-sav-files-in-natural-language/",
 "md": "https://dedupedai.com/use-cases/xu123-bob-baize/analyze-spss-sav-files-in-natural-language/index.md",
 "disclaimer": "Deduped lists open-source repositories that belong to other people. We do not own, maintain, audit, or vouch for any of them, and a repo appearing here is not an endorsement or a safety check. The use cases, steps, and prompts are written by AI and may be incomplete, outdated, or just wrong. Where a use case is marked \"Seen in the wild\", we link to public posts where someone described something similar, but we have not verified those posts and the use case itself is still our AI's own write-up. Use all of this at your own risk. Only run code, commands, or agents on systems and accounts you are authorized to use, and read the code and every command before you run it, especially anything that touches credentials, files, or the network. Nothing here is professional, security, legal, or financial advice. All trademarks and project names belong to their respective owners, and their use here does not imply affiliation. Content is provided as is, without warranties of any kind. Found a mistake, a safety problem, or something you want removed? Email hello@dedupedai.com and we will look at it promptly.",
 "api": "https://dedupedai.com/api/v1/usecases/xu123-bob-baize--analyze-spss-sav-files-in-natural-language.json",
 "api_version": "v1"
}