Back to previous page
CChatSPSS logo

ChatSPSS

ChatSPSS is a browser-based AI data-analysis assistant for academic research, questionnaire work, market studies, and other projects that use common statistical methods.

ProductivityAI assistantsProductivityChat assistantsSpreadsheets & dataSee official site
Official website

Pricing information

Official product verified

No verified public pricing is available yet.

Official sources

Verified: September 8, 2026

DevPrice organizes public information and does not sell ChatSPSS subscriptions. Prices and availability are determined by ChatSPSS.

What is ChatSPSS?

ChatSPSS is a browser-based AI data-analysis assistant for academic research, questionnaire work, market studies, and other projects that use common statistical methods. A user can upload CSV, Excel, SPSS, or Stata data and describe the research question in natural language. The platform then produces outputs such as statistical tables, charts, and written interpretations, reducing the need to navigate a conventional desktop statistics interface step by step.

Its methods cover descriptive statistics, group-difference tests, relationship analysis, scale studies, mediation and moderation, clustering, diagnostics, and visualization. The service is aimed at students, researchers, and survey analysts who need help executing and organizing statistical work. Its suggested method and generated interpretation still require review against the study design, variable types, and domain judgment, while use also requires a supported data file or a sufficiently clear analysis request in the web application.

Key features of ChatSPSS

  • Conversational analysis

    Natural-language research questions are used to guide the selection and execution of statistical methods. Requests still need to identify the relevant variables, comparison, or intended analytical direction.

  • Multi-format import

    The web application accepts CSV, Excel, SPSS SAV, and Stata DTA files, providing a common analysis entry point for existing survey and research datasets.

  • Statistical methods

    Supported work includes descriptive statistics, tests, regression, reliability and validity, mediation and moderation, clustering, and ROC analysis. Method suitability depends on the data structure and study design.

  • Tables and interpretation

    Analyses produce three-line tables, statistical charts, and written interpretations for organizing research results. The output does not replace human review of assumptions, prerequisites, or statistical meaning.