Design and Implementation of a Statistical Computation Workspace Portal
Statistics — 2025, Undergraduate
This project designs and implements design and Implementation of a Statistical Computation Workspace Portal for statistics laboratories. The system was developed using Python, Django, SQLite, Chart.js, Bootstrap. It provides modules for data uploads, transformation steps, output tables and audit trails. Testing shows the system improves record keeping, reduces paperwork and supports timely decisions.
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