Learning Objectives | Why a Different Deployment? | Prerequisites | Pointing the Package at the UN Deployment | Example 1: Inspecting the Graph | Example 2: Comparing Population by Sex Across Countries | Example 3: Resolving Place Names | Limitations of This Deployment | Tips for Working with Custom Deployments | Resources
Package: datacommons 0.1.1.9000
Christoph Scheuch
datacommons: Client for the 'Google Data Commons API V2'
Access the 'Google Data Commons API V2' <https://docs.datacommons.org/api/rest/v2/>. Data Commons provides programmatic access to statistical and demographic data from dozens of sources organized in a knowledge graph.
Authors:
datacommons_0.1.1.9000.tar.gz
datacommons_0.1.1.9000.zip(r-4.7-any)datacommons_0.1.1.9000.zip(r-4.6-any)datacommons_0.1.1.9000.zip(r-4.5-any)
datacommons_0.1.1.9000.tgz(r-4.6-any)datacommons_0.1.1.9000.tgz(r-4.5-any)
datacommons_0.1.1.9000.tar.gz(r-4.7-any)datacommons_0.1.1.9000.tar.gz(r-4.6-any)
datacommons_0.1.1.9000.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
datacommons/json (API)
| # Install 'datacommons' in R: |
| install.packages('datacommons', repos = c('https://tidy-intelligence.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/tidy-intelligence/r-datacommons/issues
Pkgdown/docs site:https://tidy-intelligence.github.io
Last updated from:1123e34289. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 166 | ||
| source / vignettes | OK | 215 | ||
| linux-release | OK | 142 | ||
| macos-release | OK | 105 | ||
| macos-oldrel | OK | 100 | ||
| windows-devel | OK | 70 | ||
| windows-release | OK | 91 | ||
| windows-oldrel | OK | 82 | ||
| wasm-release | OK | 127 |
Exports:dc_get_classesdc_get_dcid_by_coordinatesdc_get_dcids_by_namedc_get_dcids_by_wikidata_iddc_get_nodedc_get_observationsdc_get_property_valuesdc_get_resolvedc_get_statistical_variablesdc_has_api_keydc_post_sparqldc_set_api_keydc_set_base_url
Dependencies:askpassclicurlgluehttr2jsonlitelifecyclemagrittropensslR6rlangsysvctrswithr
Using the UN System Data Commons
Last update: 2026-09-20
Started: 2026-09-19
Analyzing Census Data with Data Commons
Learning Objectives | Why Start with Census Data? | Why Data Commons? | Understanding the Knowledge Graph | DCIDs (Data Commons IDs) | Relationships | Statistical Variables | Prerequisites | Setting Up API Access | Finding What You Need | Example 1: National Population Trends | Handling Multiple Data Sources | Alternative: Aggregate Across Sources | Example 2: Using Relationships to Find States | Example 3: Cross-Dataset Integration | Example 4: Time Series Across Cities | Working with Data Sources (Facets) | Tips for Effective Use | Going Further | Summary | Resources
Last update: 2025-08-28
Started: 2025-06-01
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Get All Available Classes from Data Commons | dc_get_classes |
| Resolve DCIDs from Latitude and Longitude via Data Commons | dc_get_dcid_by_coordinates |
| Resolve DCIDs from Place Names via Data Commons | dc_get_dcids_by_name |
| Resolve DCIDs from Wikidata IDs via Data Commons | dc_get_dcids_by_wikidata_id |
| Retrieve Node Properties from Data Commons | dc_get_node |
| Retrieve Observations from Data Commons | dc_get_observations |
| Get Property Values for Data Commons Nodes | dc_get_property_values |
| Resolve Nodes from Data Commons | dc_get_resolve |
| Get Available Statistical Variables from Data Commons | dc_get_statistical_variables |
| Check if a Data Commons API key is available | dc_has_api_key |
| Execute a SPARQL Query via POST to the Data Commons API | dc_post_sparql |
| Set the Data Commons API key | dc_set_api_key |
| Set the Data Commons base URL | dc_set_base_url |