I use CARTO mainly to make interactive map views and also for data analysis with geospatial data. For example, I scraped data from real estate websites here in Catalonia and then compiled all the square meters of the houses, the price of the houses, the comarca of the houses, the city, and whether they are for rent or for sale. I put all these data points in geographical coordinates over a Catalonia map, allowing users to filter by province, comarca, city, price, rent or buy status, and square meters, making it easy to see which offers and which real estate websites offer these houses in a particular territory in Catalonia. Our best insight while building that real estate map in CARTO was that the price of renting and also buying houses, particularly the price per square meter, was increasing significantly in Barcelona city and also in Girona city. All the cities and villages that were maybe 30 kilometers away from Barcelona were increasing at the same level, while the other cities that are not near Barcelona, more to the north or on the west or east, the prices remained regular compared to previous years. The most interesting finding regarding my main use case in CARTO was the data analysis capability. I initially thought CARTO was only for showing interactive maps, but when I worked with CARTO, I realized it could do much more. One of those things is great data analysis, as I have data in silos in Databricks and CARTO has a native connector with Databricks, allowing me to make SQL analysis in the CARTO workflows and show the data frames or modified data automatically from my Databricks silo, which was great.
I have used CARTO for the last 12 years. I use CARTO for three-dimensional mapping of complex arrhythmias, and I am the mapper, the one responsible for producing the mapping for the industry. I set up CARTO in the operating room, wait for the patient to enter the room, connect the equipment to the patient, sit at the workstation helping the doctor with the production of the three-dimensional mapping, and after the procedure is finished, I disconnect the equipment from the patient, produce the mapping for the doctor to include in the report, and turn off the equipment and store this equipment in the equipment room. I help the doctor in the production of the three-dimensional mapping with CARTO, and I keep telling the doctor if there is any part of the heart left to be mapped that has not yet been mapped and I point out to him where the arrhythmia seems to come from, so that the ablation can take place and the problem, the arrhythmia, is resolved.
In my project, I used CARTO to create a choropleth map showing population density by administrative area. I imported a CSV file with demographic data, joined it with geographic boundaries, and used CARTO's styling option to visualize the difference across regions. I also experimented with spatial filtering and basic aggregation to explore patterns in the data. It was a good way to understand how CARTO handles data visualization and spatial analysis. My main use case was exploring CARTO for spatial data visualization and basic geophysical analysis.
During my live project, I used CARTO as an interface to access GeoJSON files and other geospatial data while analyzing very different aspects, including population, satellite imagery, and identifying patterns based on geographical data. My main use case for CARTO is primarily that functionality. Additionally, CARTO helped us with citing existing data about patterns in a specific area. To map it out and visualize it, CARTO was of great help, and linking it with different workforces and different platforms made it even more useful.
CARTO is used for ablations, mapping, and EP studies. In the case of ablations, such as atrial fibrillations, VT ablations, PVC ablations, and SVTs, every case that requires mapping and then intervention utilizes this main component in my current facility. For example, in an atrial fibrillation procedure, you gain access and need ICE guidance, which CARTO provides. The ICE catheter helps perform a quick map of the right atrium before going transseptal. When that map is complete, all the catheters provided are used, including ablation, the decanav catheter, and ICE. After the transseptal, which is an essential part of the procedure because the left side of the heart must be ablated, the team maps, detects where the arrhythmia is originating from and its rate, and then ablates the pulmonary veins. After those veins are ablated, the procedure is essentially complete.
CARTO is a geospatial analysis platform that empowers organizations to extract insights from location data, enabling data-driven decisions with ease. CARTO facilitates spatial analysis by allowing users to visualize geographic data through maps and dashboards. Its user-friendly interface simplifies the process of deriving insights, whereas real-time analytics and integrations allow seamless data handling. Widely recognized in tech circles, CARTO enhances the ability of businesses to make...
I have been using CARTO for around a year and a half. I have also done other cases combined with CARTO recently for about another two years.
I use CARTO mainly to make interactive map views and also for data analysis with geospatial data. For example, I scraped data from real estate websites here in Catalonia and then compiled all the square meters of the houses, the price of the houses, the comarca of the houses, the city, and whether they are for rent or for sale. I put all these data points in geographical coordinates over a Catalonia map, allowing users to filter by province, comarca, city, price, rent or buy status, and square meters, making it easy to see which offers and which real estate websites offer these houses in a particular territory in Catalonia. Our best insight while building that real estate map in CARTO was that the price of renting and also buying houses, particularly the price per square meter, was increasing significantly in Barcelona city and also in Girona city. All the cities and villages that were maybe 30 kilometers away from Barcelona were increasing at the same level, while the other cities that are not near Barcelona, more to the north or on the west or east, the prices remained regular compared to previous years. The most interesting finding regarding my main use case in CARTO was the data analysis capability. I initially thought CARTO was only for showing interactive maps, but when I worked with CARTO, I realized it could do much more. One of those things is great data analysis, as I have data in silos in Databricks and CARTO has a native connector with Databricks, allowing me to make SQL analysis in the CARTO workflows and show the data frames or modified data automatically from my Databricks silo, which was great.
I have used CARTO for the last 12 years. I use CARTO for three-dimensional mapping of complex arrhythmias, and I am the mapper, the one responsible for producing the mapping for the industry. I set up CARTO in the operating room, wait for the patient to enter the room, connect the equipment to the patient, sit at the workstation helping the doctor with the production of the three-dimensional mapping, and after the procedure is finished, I disconnect the equipment from the patient, produce the mapping for the doctor to include in the report, and turn off the equipment and store this equipment in the equipment room. I help the doctor in the production of the three-dimensional mapping with CARTO, and I keep telling the doctor if there is any part of the heart left to be mapped that has not yet been mapped and I point out to him where the arrhythmia seems to come from, so that the ablation can take place and the problem, the arrhythmia, is resolved.
In my project, I used CARTO to create a choropleth map showing population density by administrative area. I imported a CSV file with demographic data, joined it with geographic boundaries, and used CARTO's styling option to visualize the difference across regions. I also experimented with spatial filtering and basic aggregation to explore patterns in the data. It was a good way to understand how CARTO handles data visualization and spatial analysis. My main use case was exploring CARTO for spatial data visualization and basic geophysical analysis.
My main use case for CARTO includes SVTs and PVCs, specifically for ablations. We use CARTO to map arrhythmias within the heart during ablations.
During my live project, I used CARTO as an interface to access GeoJSON files and other geospatial data while analyzing very different aspects, including population, satellite imagery, and identifying patterns based on geographical data. My main use case for CARTO is primarily that functionality. Additionally, CARTO helped us with citing existing data about patterns in a specific area. To map it out and visualize it, CARTO was of great help, and linking it with different workforces and different platforms made it even more useful.
CARTO is used for ablations, mapping, and EP studies. In the case of ablations, such as atrial fibrillations, VT ablations, PVC ablations, and SVTs, every case that requires mapping and then intervention utilizes this main component in my current facility. For example, in an atrial fibrillation procedure, you gain access and need ICE guidance, which CARTO provides. The ICE catheter helps perform a quick map of the right atrium before going transseptal. When that map is complete, all the catheters provided are used, including ablation, the decanav catheter, and ICE. After the transseptal, which is an essential part of the procedure because the left side of the heart must be ablated, the team maps, detects where the arrhythmia is originating from and its rate, and then ablates the pulmonary veins. After those veins are ablated, the procedure is essentially complete.