Data visualization

Build a dashboard with styled point locations

Find out how to style point locations in Builder, making it easier for users to understand. This guide will show you simple ways to use Builder to color and shape these places on your map, helping you understand how people are spread out across the globe.

Style qualitative data using hex color codes

In this tutorial, you'll learn how to generate hex color code values through both Workflows and SQL. Moreover, you'll gain insights on how to efficiently apply them in Builder, enhancing your styling process and overcoming palette limitations.

Create an animated visualization with time series

This tutorial takes you through a general appraoch of building animated visualizations using Builder Time Series Widget. The techniques you'll learn here can be applied broadly to animate and analyze any kind of temporal geospatial data whose position moves over time.

Visualize administrative regions by defined zoom levels

Create a visualization that showcases specific administrative regions at predetermined zoom level ranges. This approach is perfect for visualizing different levels of detail as users zoom in and out. At lower zoom levels, you'll see a broader overview, while higher zoom levels will reveal more detailed information.

Build a dashboard to understand historic weather events

Learn how to create an interactive dashboard to navigate through America's severe weather history, focusing on hail, tornadoes, and wind. The goal is to create an interactive map that transitions through different layers of data, from state boundaries to the specific paths of severe weather events, using NOAA's datasets.

Customize your visualization with tailored-made basemaps

Create a visualization using a custom basemap in Builder. In this tutorial you'll learn how you can create your own Style JSON custom basemaps using an open source tool, upload them into your CARTO organization from Settings and leverage them using Builder.

Visualize static geometries with attributes varying over time

Learn how to efficiently visualize static geometries with dynamic attributes using Aggregate by Geometry in CARTO Builder.

This tutorial explores the Global Historical Climatology Network (NOAA) dataset, focusing on U.S. weather stations in 2016. By aggregating identical geometries—such as administrative boundaries or infrastructure—you can uncover trends in temperature, precipitation, and wind speed while optimizing map performance.

Mapping the precipitation impact of Hurricane Milton with raster data

In this tutorial, you'll learn how to visualize and analyze raster precipitation data from Hurricane Milton in CARTO. We’ll guide you through the preparation, upload, and styling of raster data, helping you extract meaningful insights from the hurricane’s impact. By the end of this tutorial, you’ll create an interactive dashboard in CARTO Builder, combining raster precipitation data with Points of Interest (POIs) and hurricane track to assess the storm’s impact.