The logistics industry is under increasing pressure thanks to rising costs, a shrinking labor force, and unrealistic customer expectations for priority deliveries. Even Amazon is not immune to these changes. Between 2015 and 2017 the ecommerce retailer’s shipping costs skyrocketed from $11.5 billion to $21.7 billion.

The demand for data scientists to understand and use geospatial analysis in their process has led to new trends and innovations in the data science field.

Working with universities has been a very important part of CARTO’s development as a force for democratizing the mapping and analysis of data. We have been fortunate enough to work closely with many educators, librarians, and researchers who push us in exciting new directions.

The Data Observatory contains a wealth of information available for exploration and data augmentation. In this post we will look at an available dataset provided by the U.S. Census that is very much in the news: United States Congressional Districts. First let’s retrieve all of the U.S. Congressional Districts and...

As you might have already heard, the Data Observatory just launched to help provide CartoDB users with a universe of data. One of the reasons we built the Data Observatory is because getting the third-party data you need is oftentimes the hardest part of analyzing your own data. Data wrangling...

One of the most common reasons people make maps using CartoDB is to try and explore the patterns in their data in order to make better decisions or to communicate interesting ideas. This exploratory approach to location intelligence can be difficult, but armed with the right analytical workflows and cartographic...

Every year, all around the world, people celebrate all things geospatial in mid-November. It is a great opportunity to pick up new skills, learn new platforms, and -most importantly- make and share new maps.

I remember this one time at band camp, it seemed things were going so well. It was a wet, hot, good ol’ American summer. Possibly the only thing missing was a proper web mapping class, appropriately scheduled after friendship bracelet making class. So in the spirit of awesome summer camps,...

With summer starting to wrap up in the Northern Hemisphere, so are trips to the beach, the mountains, or anywhere in between. What better time than now to highlight all the memories made with your GPS mobile device?

At the invitation of Eva Adler and Norman Shamas, I had the pleasure of giving a workshop on CartoDB’s real-time mapping capabilities for the TechChange class Mapping for Social Good. Eva Adler’s course covers an impressive array of material on web mapping related to global development work.

CartoDB, Plotly, and IPython notebooks work beautifully together. The plot above was made on Plotly from data imported into an IPython notebook using the CartoDB SQL API.

Let’s imagine the following scenario…