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Building a Python Web App for Data Dashboard

Converting Excel Macros to Streamlit and Plotly

Introduction

  • Recreating an impressive Excel dashboard with Python
  • Collaborating with a financial data analyst
  • Exploring the power of Streamlit and Plotly
  • Combining data cleaning, SQL, and visualization
  • Building a streaming web app for live data updates

Setting Up the Environment

  • Configuring VS Code and Streamlit
  • Loading an Excel file using Pandas
  • Using Streamlit widgets for user interaction
  • Customizing the layout and appearance of the app

Data Loading and Preprocessing

  • Using Pandas to load the Excel file
  • Leveraging Streamlit's file uploader widget
  • Processing and cleaning the data for visualization
  • Applying SQL-like operations with DuckDB

Creating Interactive Plots

  • Using Plotly Express for simple line charts
  • Exploring customization with Plotly Graph Objects
  • Adding indicators and gauges for visual insights
  • Arranging and styling the plots in a grid layout

Further Enhancements and Deployment

  • Making the loaded data frame editable
  • Implementing real-time data updates
  • Exploring custom cross-filtering with Plotly
  • Deployment options for sharing the app with colleagues

Conclusion

  • Empowering users to create their own dashboards
  • Replacing VBA macros with Python and web technologies
  • Showcasing the versatility of Streamlit and Plotly
  • Encouraging exploration of the provided resources

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