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StatCode

R, Python and SQL statistics code for coursework

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About StatCode

StatCode is an AI-powered statistical analysis workspace that turns datasets and plain-language questions into transparent, executable Python, R, and SQL workflows. Instead of providing a black-box answer, StatCode generates code that users can inspect, run, verify, and adapt—making every result easier to understand and reproduce. Upload a dataset, describe the analysis you need, and select your preferred programming language. StatCode helps generate analysis-ready code for exploratory data analysis, data visualization, regression, t-tests, ANOVA, correlation, and other common statistical methods. Run the code directly in the browser, review the outputs, examine tables and charts, identify potential issues, and refine the analysis before exporting a polished draft. StatCode removes the friction between knowing what statistical question to ask and knowing how to implement it correctly in code. It reduces time spent searching for syntax, switching between tools, debugging boilerplate, and manually translating the same analysis across different programming languages. Built for students, researchers, educators, data analysts, and anyone learning applied statistics, StatCode is useful for coursework, research projects, teaching demonstrations, exploratory analysis, and rapid prototyping. Whether you are learning your first statistical test or accelerating an existing analytical workflow, StatCode helps you move from raw data to clear, reproducible results faster—while keeping the underlying code visible and under your control.

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