However, being able to visualize location data is only part of Carto’s promise here - it also wants to help businesses understand their data. Then, they can conduct spatial analysis using Carto’s self-service Carto Builder, which can help teams create maps in minutes, or Cartoframes, which is a Python package that data scientists can use to integrate Carto into their existing workflows. Developers, data scientists, and analysts can connect their various data sources, including data warehouses and business intelligence (BI) tools, and enrich it with myriad public and proprietary premium datasets from Carto’s spatial data catalog spanning categories such as road traffic, human mobility, financial, housing, and points-of-interest. ![]() ![]() Above: Carto: Predicting annual revenues by mixing myriad data points Visualize and understand dataįounded out of Madrid, Spain, in 2012, Carto was developed initially as an open source product within a company called Vizzuality, before spinning out as a standalone company called CartoDB and later rebranding as Carto.Īt its core, Carto is all about creating maps and visualizations out of disparate data points.
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