Building an analytical dashboard for Python package usage involves processing PyPI download data with DuckDB and storing it in MotherDuck. The data is then visualized using the Evidence BI tool, a framework that utilizes Markdown and SQL for creating dashboards. Key steps include setting up the data share in MotherDuck, defining source queries, and creating charts. The tutorial provides an architecture recap from previous parts, demonstrating ingestion, data transformation, and linking to a preconfigured MotherDuck share.
Table of contents
Architecture and recapPrerequisiteStore and share data in MotherDuckBuilding the dashboard.ConclusionSort: