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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: | 1.0.2 |
| Depends: | R (≥ 3.3.0) |
| Imports: | tibble, data.table, magrittr, openxlsx, dplyr, plyr, tidyr, stringr |
| Published: | 2022-04-04 |
| 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_1.0.2.tar.gz |
| Windows binaries: | r-devel: dataframeexplorer_1.0.2.zip, r-release: dataframeexplorer_1.0.2.zip, r-oldrel: dataframeexplorer_1.0.2.zip |
| macOS binaries: | r-release (arm64): dataframeexplorer_1.0.2.tgz, r-oldrel (arm64): dataframeexplorer_1.0.2.tgz, r-release (x86_64): dataframeexplorer_1.0.2.tgz, r-oldrel (x86_64): dataframeexplorer_1.0.2.tgz |
| Old sources: | dataframeexplorer archive |
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These binaries (installable software) and packages are in development.
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