{"version":"1.0","type":"rich","title":"Carto","description":"This example demonstrates how to move data from Amazon Redshift into CARTO for visualization. Using SQLAlchemy to connect to a Redshift cluster, the notebook reads an `addresses` table into a pandas DataFrame, then writes it to a CARTO account with the `cartoframes` library. The result is a CARTO dataset (`redshift_example`) that can be explored on an interactive map, enabling geospatial analysis of address-based data such as inhabitant counts.","provider_name":"VizHub AI Studio","provider_url":"https://next.vizhub.com","html":"<iframe src=\"https://next.vizhub.com/viz/gist-1553da9fcb5aa57d09fbb9ffd7b6c703?mode=embed\" width=\"960\" height=\"500\" scrolling=\"no\" frameborder=\"1\"></iframe>","width":960,"height":500,"cache_age":3600}