How to Build and Deploy an Interactive Sales Dashboard Using Streamlit and GitHub Actions

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A tutorial published on DEV Community walks developers through building an interactive sales analytics dashboard using Python, Pandas, Plotly, and Streamlit. The guide addresses a common pain point for data analysts who typically share results as static screenshots or Jupyter Notebooks. The project covers structuring the codebase, loading CSV sales data, and creating filterable visualizations such as revenue by category, regional sales, and monthly trends. Automation is implemented via GitHub Actions, and the finished application is deployed publicly through Streamlit Community Cloud. The tutorial requires no frontend knowledge, as Streamlit converts Python scripts directly into interactive web applications.

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