November 15, 2022
Logarithmic scales are now available as a data classification option in Builder.
While they’re available for all kind of sources, a logarithmic scales based on powers of
10 will be the default option for aggregated data sources.
This new addition will make it easier to create better cartography when working with spatial indexes, as well as a handy additional method of classification for other types of maps.
November 7, 2022
Users working with Spatial Indexes data (Quadbin or H3) in Builder have a couple of new additions that will help them create better and more insightful visualizations:
- The possibility of adjusting the aggregation resolution for a finer control over the aggregation.
- Aggregation operations for categories:
MODEto get the most frequent category in the aggregated cells;
ANY VALUEto get any of the aggregated categories.
October 18, 2022
Collaborating on CARTO maps is finally possible, in asynchronous mode. This is helpful in setups such as production-ready maps, where the original owner might be out of office; or in situations where the data, analysis and cartography are each accomplished by different users. This is how it works:
- The map owner first needs to enable collaboration for that map.
- From that moment, all editors with access to the map will be able to edit it.
- If two editors try to edit at the same time, the last one will be locked out, with the option of requesting to take over editing.
This functionality is currently under private beta, please get in touch with your CARTO representative or via our Support team at firstname.lastname@example.org, so we can activate this feature in your account. We plan to release in general availability during the first half of Q4 2022.
October 11, 2022
We have just added a new exciting component to Builder. The new Date Filter allows you to reduce the size of a data source by selecting a specific time range from a date or timestamp column in your data.
It is available for dynamically tiled data sources, which basically means tables bigger than 30MB and Custom SQL queries. Find more information about data source sizes here.
When dealing with temporal series it is very common to find overlapping points, repeated geometries or spatial indexes… which make the analysis and visualization of the data cumbersome and difficult to visualize. This new component lets the user select a specific time range to filter their data, making all these problems easier to work around.
This new filter actually pushes down a SQL filter, which reduces the amount of data processed and transferred, while the Time-Series widget allows filtering the data when it has already been loaded in the browser. They can play very well together, using the filter to pre-select a time range to work with, and the Time-Series widget for finer client-side filtering, visualizing the series, animations, etc
As an Editor, you can decide whether or not to include the Date selector in the public map. This allows deeper data exploration for viewer and public users.
September 19, 2022
Now users can include custom icons as markers for point data in Builder maps.This feature includes two differents ways of selecting an icon:
- Using one from our preset collection; based on the well-known Maki icon library, which is designed for cartography purposes;
- Uploading a custom icon in .png or .svg formats.
Different markers can also be defined by the values of a categorical column, and can even be rotated based on a numeric value; which enables different use-cases such as rotating an arrow based on azimuth for telecommunication antennas or the wind direction in weather maps.
August 26, 2022
We are very excited to announce that users of Google BigQuery can now geocode their tables with address data and create trade areas around locations based on drive/walk time isolines natively from their data warehouse. These procedures call external location data service providers such as TomTom, HERE and Mapbox. Please check the SQL Reference of our Analytics Toolbox for BigQuery for more details, and also refer to our examples on how to geocode your data and create isolines.
Note that these functionalities are also enabled from the Data Explorer and Builder tools.