Real life data is muddy, fuzzy and unpredictable. This makes data manipulations tedious and bringing the data to right shape alone is a major chunk of work. Functions in this package help us get an understanding of dataframes to dramatically reduces data coding time.
Version: | 0.1.7 |
Depends: | R (≥ 3.3.0) |
Imports: | tibble, data.table, magrittr, openxlsx, dplyr, plyr, tidyr, stringr |
Published: | 2020-06-26 |
Author: | Ashrith Reddy [aut, cre] |
Maintainer: | Ashrith Reddy <ashrithssreddy at gmail.com> |
License: | MIT + file LICENSE |
NeedsCompilation: | no |
Materials: | README |
CRAN checks: | dataframeexplorer results |
Reference manual: | dataframeexplorer.pdf |
Package source: | dataframeexplorer_0.1.7.tar.gz |
Windows binaries: | r-devel: dataframeexplorer_0.1.7.zip, r-release: dataframeexplorer_0.1.7.zip, r-oldrel: dataframeexplorer_0.1.7.zip |
macOS binaries: | r-release: dataframeexplorer_0.1.7.tgz, r-oldrel: dataframeexplorer_0.1.7.tgz |
Old sources: | dataframeexplorer archive |
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