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GetQuandlData: Fast and Cached Import of Data from 'Quandl' Using the 'json API'

Imports time series data from the 'Quandl' database <https://data.nasdaq.com/>. The package uses the 'json api' at <https://data.nasdaq.com/search>, local caching ('memoise' package) and the tidy format by default. Also allows queries of databases, allowing the user to see which time series are available for each database id. In short, it is an alternative to package 'Quandl', with faster data importation in the tidy/long format.

Version: 1.0.0
Depends: R (≥ 4.0.0)
Imports: jsonlite, memoise, dplyr, purrr, utils, readr, fs
Suggests: knitr, rmarkdown, testthat (≥ 3.0.0), ggplot2, tibble
Published: 2023-02-15
DOI: 10.32614/CRAN.package.GetQuandlData
Author: Marcelo S. Perlin
Maintainer: Marcelo S. Perlin <marceloperlin at gmail.com>
BugReports: https://github.com/msperlin/GetQuandlData/issues
License: GPL-2
URL: https://github.com/msperlin/GetQuandlData/
NeedsCompilation: no
Materials: README NEWS
CRAN checks: GetQuandlData results

Documentation:

Reference manual: GetQuandlData.pdf
Vignettes: Using GetQuandlData to study inflation rates around the world

Downloads:

Package source: GetQuandlData_1.0.0.tar.gz
Windows binaries: r-devel: GetQuandlData_1.0.0.zip, r-release: GetQuandlData_1.0.0.zip, r-oldrel: GetQuandlData_1.0.0.zip
macOS binaries: r-release (arm64): GetQuandlData_1.0.0.tgz, r-oldrel (arm64): GetQuandlData_1.0.0.tgz, r-release (x86_64): GetQuandlData_1.0.0.tgz, r-oldrel (x86_64): GetQuandlData_1.0.0.tgz
Old sources: GetQuandlData archive

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.