CARTO's Data Observatory enables you to discover hidden patterns and gain comprehensive insights about unforeseen opportunities through data enrichment and analysis.
The Data Observatory provides demographic, financial, real estate, transportation, and various population segment data, directly through CARTO Builder (or SQL). See the Data Observatory catalog for a list of all available measures and regions of the world where there is coverage.
For this guide, let's find out how well Denver, Colorado's light rail system targets commuters who are able to walk to the city's public transit system.
Import the template .carto file packaged from the "Download resources" of this guide and create the map. Builder opens with Light Rail Service as the first map layer, and Car-free Households near Denver Light Rail as the second map layer.
Select the Car-free Households near Denver's Light Rail layer.
Click the ANALYSIS tab and apply the Enrich from Data Observatory analysis tab.
The BASE LAYER is hard-coded and represents the selected map layer.
For the REGION, select United States.
The selected REGION drives the measurement options that appear for the Data Observatory analysis.
Select a MEASUREMENT:
If you know the measurement name, manually type in the search term and select it from the list.
If you are unsure of the measurement name, click Filters to narrow down the results. This displays categories such as Age and Gender, Employment, Income, and many more location dimensions.
For this example, filter the measurements by Transportation in order to select Car-free households.
Unrestricted appears, which defines the licensing terms for the data provided.
Click the checkbox next to NORMALIZE and select Households. This value gives you the proportion (%) of all Households that are Car-free Households in the area.
For TIMESPAN, select from a range of defined years to narrow down your results.
2011-2015as the TIMESPAN.
For BOUNDARIES, use the slider button to select Shoreline clipped US Census Tracts.
Click CONFIRM to run the analysis.
After the analysis runs, the selected measurement is automatically added to your data as a new column. Switch to the Data View of your map layer to view the column added,
It is recommended to recreate the Enrich from Data Observatory analysis, as enhanced options enable you to include REGIONS, NORMALIZATION, and TIMESPAN dimensions for measurements of data.
You can add up to ten Data Observatory measurements under a single analysis node. This empowers you to apply several dimensions of data augmentation in a single analysis request.
For this guide, let's add another Transportation measurement within the demographic of car-free households to identify commuters who primarily travel to work by subway.
From the Enrich from Data Observatory analysis, click ADD NEW MEASUREMENT.
Add measurement for people who commute by subway or elevated rail:
Click CONFIRM to appy the analysis.
A confirmation dialog appears, indicating the additional columns that were added to your dataset. This is useful, as you can style map layers by column values!
To visualize the results of your analysis, style the layer by any of the newly added column values.
From the STYLE tab of the Car-free Households near Denver's Light Rail layer, click the SIZE value to open the size options for the marker.
The FIXED subtab is selected by default.
Click the BY VALUE subtab and apply the following marker size options:
no_cars_per_rate_2011_2015 to symbolize the points by the number of car-free households, which are served at that location.
Only number columns from your map layer appear when selecting size by value, and a legend is automatically created.
For MIN, enter
The result of Enrich from Data Observatory allows us to visualize that concentrations of car-free households in West Colfax and Sheridan are benefiting the most from public transit lines. These calculations were normalized by total households; which enables us to highlight the total number of households in the area and style by calculated percentages.
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