Data Observatory
Discover the dimensions behind your data
The Data Observatory is a pioneering data service that provides measurements of populations, jobs, commerce, and many other interesting location dimensions. Gain better understanding of the patterns and trends in your world's data with the Data Observatory and CartoDB.
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Overview
A competitive edge
Integrated in the CartoDB experience- Business ready, with headache-free licensing
- Up-to-date and ready for your next project
- Packed with high-value location measures and boundary layers
- Ready for augmentation, blending, and even export
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Comprehensive 3rd Party Data
A comprehensive resource for trusted 3rd party datasets. Using these services allows you to focus on your vision, and not spend time trying to find your next source of data.
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Easy, Fast, & Affordable Enrichment
Generate comprehensive analyses about one or many locations to find new associations and uncover hidden patterns. Simple elastic pricing makes it cost effective at any size.
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Creating New Value
Always on, always up-to-date, and always providing the results you need. The Data Observatory is the critical tool for deriving new value from your analysis of location data.
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Ready to Blend & Visualize
The Data Observatory is ready to blend, map, and publish. The Data Observatory is integrated into CartoDB, making it a quick addition to any of your workflows.
Location & Site Analysis
Site selection analysis
The Data Observatory is even more powerful when combined with CartoDB's other data services, like geocoding and routing. In this illustration, isolines, areas defined by walking distance to a central location, are calculated on the fly through user clicks. Data Observatory measurements are collected for each walking distance, giving the user a rapid way to explore different dimensions of the population at points of interest.
Features used
Demographics- Location Data Services
- Deep Insights
Customer discovery
Actionable insights on where consumers are the most connected to network and broadband services
The Data Observatory enables you to use local and regional population measurements plus dynamic calculations of potential customers based on your direct input. In this example, a telecommunications company can quickly navigate their internal data on customer, store, and tower locations. To enhance their understanding of customer potential they have included multiple layers of Data Observatory measurements, including Household Income and Age distribution, allowing the viewer to narrow in on target customers.
Features used
- Housing
- Financial
- Segmentation
Predicting the housing market
Use location data for more accurate predictions
The Data Observatory contains accurate recent and historical data for multiple measures of housing prices. Users can quickly access specific measures from past months or years to help build more informed predictions about trends and directions of cities across the USA. Combined with the CartoDB's Deep Insights interface library, you can quickly narrow in on where patterns mean the most to your decisions and plans for future business growth.
Features used
- Home Value Data
- Zipcode Areas
- Deep Insights
Get Started
What's Inside
| Measurements |
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| Access demographic, economic, and both numeric and categorical measurements at places of interest. |
Example Data
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EnrichmentCartoDB's Demographic services can turn your data or address locations into comprehensive reports about the characteristics of the local population. |
SourcesAmerican Community Survey, Spanish Census, Zillow Home Value Index and more |
| Segmentation |
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| CartoDB's Segmentation services provide location based demographic classifications that can help businesses find populations of interest, faster. |
Example Data
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OptimizationClassification are built up from the leading population data and gives a comprehensive view of where your potential customers, voters, or supporters exist. |
SourcesSpielman and Singleton hierarchical segmentation,of USA, Internal CartoDB Layers and more |
| Boundaries |
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| Global boundary data can help you quickly aggregate and visualize your data in new ways. |
Example Data
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PrecisionThe Data Observatory makes a wide range of large and small scale regional polygons available as part of the boundary services. |
SourcesWho’s on First, US, Tiger Data Worldbank and more |
| Discovery |
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| Most data services today have been designed like a shelf of books. The Data Observatory acts more like a librarian, providing you tools and answers that meet your needs. |
Example Data
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SpeedInstead of queries, you can use your own data to discover what measurements are available and get them incorporated faster. |
SourcesCartoDB |
Documentation
How to access
The Data Observatory is a core technology powered internally by CartoDB. The first release of the Data Observatory is currently available to Enterprise accounts through the CartoDB Editor and Platform. Users will also be able to access specific elements of the Data Observatory through our Data Services API.
In your CartoDB Editor
Data Observatory measures are requested through the SQL interface in any Dataset or Visualization view. You can use the Data Observatory to quickly augment your existing datasets with new columns.
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UPDATE {{your table}} SET {{target column}} = OBS_GetUSCensusMeasure(the_geom, 'Total Population')
Or you can request boundaries and store the results as a new table.
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SELECT the_geom FROM OBS_GetBoundariesByGeometry(ST_Buffer(CDB_LatLng(39.055833, -95.689444),0.5),'us.census.tiger.county')
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-- Total Population
UPDATE
tablename
SET
total_population =
OBS_GetUSCensusMeasure(the_geom, 'Total Population');
-- Total Workforce
UPDATE
tablename
SET
workforce =
OBS_GetUSCensusMeasure(
the_geom,
'Workers over the Age of 16');
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-- Zillow Home Value Index
UPDATE
tablename
SET
home_value =
OBS_GetMeasure(
the_geom,
'us.zillow.AllHomes_Zhvi');
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-- 55 Category Spielman-Singleton
UPDATE
tablename
SET
segment =
OBS_GetUSCensusCategory(
the_geom,
'Spielman-Singleton Segments: 55 Clusters');