Visualizing Supabase Data using Metabase

Data analysis and visualization are crucial for businesses to make informed decisions. Python offers powerful libraries like Matplotlib, Seaborn, Ggplot2, Plotly, and Pandas for data visualization. Metabase is a user-friendly tool that helps create customized visuals from your data with minimal coding. In this tutorial, we learn how to use Metabase to visualize data stored in Supabase by launching the Metabase Docker container, connecting it to the Supabase project, and exploring various features like viewing tables, obtaining insights, and using custom SQL queries for advanced visualization. Data visualization helps businesses transform raw data into actionable insights, leading to better decision-making.