frictionless: Read and Write Frictionless Data Packages

Frictionless is an R package to read and write Frictionless Data Packages. A Data Package is a simple container format and standard to describe and package a collection of (tabular) data. It is typically used to publish FAIR and open datasets. See the package website for more information. New in this release add_resource() now supports adding CSV file(s) directly as a resource. This skips reading/handling by R and gives users control over path (#74). CSV files in a remotely read package (like example_package) are now downloaded when writing with write_package(), rather than being skipped. This is more consistent with locally read packages. The behaviour for resources with a path containing URLs (only) and resources with data remains the same (no files are written). The write behaviour is better explained in the documentation (#77). write_package() now silently returns the output rather than input package. create_package() will set "profile" = "tabular-data-package" since packages created by frictionless meet those requirements (#81). create_schema() interprets empty columns as string not boolean (#79). read_package() can now read from a datapackage.yaml file. read_resource() now accepts YAML Table Schemas and CSV dialects. add_resource()/create_schema()'s df parameter is renamed to data. example_package's observations resource now has URLs as path to serve as an example for that.This software package was developed by INBO and funded by Research Foundation - Flanders (FWO) as part of the Belgian contribution to LifeWatch