R and R Studio
Note
For complete details, setup instructions, and code examples, see the R SDK developer docs.
R is a language and environment for statistical computing and graphics, widely used by data scientists and analysts. It provides powerful tools for modeling, visualization, and working with structured datasets.
The data.world R package allows you to integrate datasets from data.world directly into your R scripts, notebooks, and applications. You can query with SQL or SPARQL, load data as R data frames, and interact with the data.world REST API for automation and updates.
Key benefits include:
Dataset access: Load clean, normalized datasets into R as native data frames for immediate analysis.
Live querying: Use SQL or SPARQL queries from within R to explore or join datasets from multiple sources.
Automate dataset updates: Leverage the included dwapi package to update metadata, upload files, and manage datasets programmatically.
Publish insights from RStudio: Publish charts and visualizations directly to your data.world projects.