A "tabular-data-resource" (< https://specs.frictionlessdata.io/tabular-data-resource/>) is a simple format to describe a singular tabular data resource such as a CSV file. It includes support both for metadata such as author and title and a schema to describe the data, for example the types of the fields/columns in the data. Create a tabular-data-resource by providing a data.frame and specifying metadata. Write and read tabular-data-resources to and from disk.
fr provides fr_tdr, fr_schema, and fr_field objects for implementing
frictionless
tabular-data-resource
standards in R.
Install {fr} from CRAN:
install.packages("fr")
You can install the development version of {fr} from GitHub with:
# install.packages("pak")
pak::pak("cole-brokamp/fr")
vignette("read_fr_tdr") to read a Frictionless Tabular Data Resource from disk or the web, access metadata, and manipulate it as a data.framevignette("creating_a_tabular-data-resource") to create a Frictionless Tabular Data Resource by converting a data.frame or tibble, adding metadata, and writing to diskDeveloped by the Open Knowledge Foundation, the frictionless standards are a set of patterns for describing data, including datasets (Data Package), files (Data Resource), and tables (Table Schema). A Data Package is a simple container format used to describe and package a collection of data and metadata, including schemas. These metadata are contained in a specific file (separate from the data file), usually written in JSON or YAML, that describes something specific to each Frictionless Standard: