Dashboards Across Space and Time

The blog post details the process of creating an interactive dashboard using Streamlit to visualize NYC real estate sales data stored in GlareDB. It guides readers through setting up a Streamlit application, connecting to GlareDB, and utilizing Python and Pandas to manipulate and display the data. The tutorial demonstrates how to generate a line chart to show the trend of sales over time and a map to illustrate sales distribution by zip code, using pgeocode to convert zip codes into latitude and longitude coordinates. The post also covers enhancing the dashboard's aesthetics by organizing visualizations into columns, adjusting layout settings, and adding headers for clarity. The resulting dashboard offers users a visual representation of real estate sales trends over time and geographical distribution across NYC, with suggestions for further enhancements like interactivity and data quality checks.