Showing 7 of total 7 results (show query)
tidyverse
readr:Read Rectangular Text Data
The goal of 'readr' is to provide a fast and friendly way to read rectangular data (like 'csv', 'tsv', and 'fwf'). It is designed to flexibly parse many types of data found in the wild, while still cleanly failing when data unexpectedly changes.
Maintained by Jennifer Bryan. Last updated 8 months ago.
1.0k stars 20.06 score 132k scripts 2.1k dependentstidyverse
vroom:Read and Write Rectangular Text Data Quickly
The goal of 'vroom' is to read and write data (like 'csv', 'tsv' and 'fwf') quickly. When reading it uses a quick initial indexing step, then reads the values lazily , so only the data you actually use needs to be read. The writer formats the data in parallel and writes to disk asynchronously from formatting.
Maintained by Jennifer Bryan. Last updated 7 months ago.
csvcsv-parserfixed-width-texttsvtsv-parsercpp
625 stars 17.82 score 4.5k scripts 2.1k dependentsgesistsa
rio:A Swiss-Army Knife for Data I/O
Streamlined data import and export by making assumptions that the user is probably willing to make: 'import()' and 'export()' determine the data format from the file extension, reasonable defaults are used for data import and export, web-based import is natively supported (including from SSL/HTTPS), compressed files can be read directly, and fast import packages are used where appropriate. An additional convenience function, 'convert()', provides a simple method for converting between file types.
Maintained by Chung-hong Chan. Last updated 3 months ago.
csvcsvydatadata-scienceexcelioriosasspssstata
610 stars 17.10 score 7.8k scripts 74 dependentsddotta
parquetize:Convert Files to Parquet Format
Collection of functions to get files in parquet format. Parquet is a columnar storage file format <https://parquet.apache.org/>. The files to convert can be of several formats ("csv", "RData", "rds", "RSQLite", "json", "ndjson", "SAS", "SPSS"...).
Maintained by Damien Dotta. Last updated 5 months ago.
conversionconvertconvertercsvparquetsasspsssqlitestata
71 stars 7.36 score 27 scripts 1 dependentssgibb
MALDIquantForeign:Import/Export Routines for 'MALDIquant'
Functions for reading (tab, csv, Bruker fid, Ciphergen XML, mzXML, mzML, imzML, Analyze 7.5, CDF, mMass MSD) and writing (tab, csv, mMass MSD, mzML, imzML) different file formats of mass spectrometry data into/from 'MALDIquant' objects.
Maintained by Sebastian Gibb. Last updated 1 years ago.
csvexportimportmaldimass-spectrometrymsd-filesmzml
10 stars 7.26 score 40 scripts 3 dependentsleeper
csvy:Import and Export CSV Data with a YAML Metadata Header
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.
Maintained by Thomas J. Leeper. Last updated 7 years ago.
59 stars 4.77 score 7 scriptsenricoschumann
tsdb:Terribly-Simple Data Base for Time Series
A terribly-simple data base for numeric time series, written purely in R, so no external database-software is needed. Series are stored in plain-text files (the most-portable and enduring file type) in CSV format. Timestamps are encoded using R's native numeric representation for 'Date'/'POSIXct', which makes them fast to parse, but keeps them accessible with other software. The package provides tools for saving and updating series in this standardised format, for retrieving and joining data, for summarising files and directories, and for coercing series from and to other data types (such as 'zoo' series).
Maintained by Enrico Schumann. Last updated 9 days ago.
11 stars 3.52 score