Packaged: 2020-02-29 22:11:48 UTC; timothybergsma

Packaged: 2020-05-19 01:11:05 UTC; tim.bergsma

Packaged: 2020-05-19 13:51:40 UTC; tim.bergsma

Packaged: 2021-07-13 15:35:02 UTC; tim.bergsma

Packaged: 2021-07-13 15:47:44 UTC; tim.bergsma

Packaged: 2022-07-04 17:52:30 UTC; tim.bergsma

Title: Fast Specialized CSV File Loader.
Description: This package provides functions for loading large (10M+ lines) CSV
and other delimited files, similar to read.csv, but typically faster and
using less memory than the standard R loader. While not entirely general,
it covers many common use cases when the types of columns in the CSV file
are known in advance. In addition, the package provides a class 'int64',
which represents 64-bit integers exactly when reading from a file. The
latter is useful when working with 64-bit integer identifiers exported from
databases. The CSV file loader supports common column types including
'integer', 'double', 'string', and 'int64', leaving further type
Packaged: 2014-06-25 15:38:40 UTC; sizrailev

Packaged: 2014-11-10 19:22:21 UTC; sizrailev

Description: Functions for loading large (10M+ lines) CSV

Title: Read and Write CSV on the Web (CSVW) Tables and Metadata
Description: Provide functions for reading and writing CSVW - i.e. CSV tables and JSON metadata.
The metadata helps interpret CSV by setting the types and variable names.
Suggests: testthat (>= 3.0.0), knitr, markdown, rmarkdown
Imports: magrittr, jsonlite, purrr, readr, stringr, rlang

Imports: cli, magrittr, jsonlite, purrr, readr, stringr, rlang

Title: Import and Export CSV Data with a YAML Metadata Header
Description: Support for import from and export to the CSVY file format. CSVY is a file format that combines the simplicity of CSV (comma-separated values) with the metadata of other plain text and binary formats (JSON, XML, Stata, etc.) by placing a YAML header on top of a regular CSV.
Suggests: data.table, readr, testthat, datasets

Imports: tools, data.table, jsonlite, yaml
Alexey N. Shiklomanov [aut] (<https://orcid.org/0000-0003-4022-5979>),