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How to analyze SPSS .sav data files by describing the analysis with Baize

Point Baize at an SPSS data file and ask for summaries or statistics in plain language.

Who it is forA researcher or analyst with a survey or study dataset stored as an SPSS .sav file.

The problemRunning SPSS analyses requires learning the menus or syntax for each new question.

The outcomeBaize reads the .sav file through the SPSS MCP server and answers analysis questions in the terminal.

What you need first

  • 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

Steps

  1. pip install https://github.com/Xu123-Bob/Baize.git
  2. pip install -r requirements-data.txt
  3. 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.
  4. baize
  5. At the >>> Decree: prompt, describe the file and the analysis you want, for example reading the variable list and a descriptive summary.

Prompt for your agent

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.

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.

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