Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/sherrisherry/cleandata
R Package "cleandata"
https://github.com/sherrisherry/cleandata
cran data-analysis data-mining machine-learning r r-package wrangling
Last synced: about 1 month ago
JSON representation
R Package "cleandata"
- Host: GitHub
- URL: https://github.com/sherrisherry/cleandata
- Owner: sherrisherry
- License: other
- Created: 2018-07-16T03:23:17.000Z (about 6 years ago)
- Default Branch: master
- Last Pushed: 2018-12-02T03:52:30.000Z (almost 6 years ago)
- Last Synced: 2024-06-11T08:49:20.975Z (3 months ago)
- Topics: cran, data-analysis, data-mining, machine-learning, r, r-package, wrangling
- Language: R
- Homepage: https://cran.r-project.org/package=cleandata
- Size: 22.5 KB
- Stars: 3
- Watchers: 1
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
- jimsghstars - sherrisherry/cleandata - R Package "cleandata" (R)
README
# R Package "cleandata"
[](https://cran.r-project.org/package=cleandata) [](https://cranlogs.r-pkg.org/badges/grand-total/cleandata)
A collection of functions that work with data frame to inspect and manipulate data; and to keep track of data manipulation by producing log files.
Available on CRAN: https://cran.r-project.org/package=cleandata
Demonstration: [Wrangling Ames Housing Dataset](https://cran.r-project.org/web/packages/cleandata/vignettes/Demo.html)
*I planned to keep writing new demos and linking them in this Readme file.*
## New in V0.3.0
* Made parameter 'log' able to take value from a 'log_arg' variable in the parent environment (dynamic scoping) of a function
* The old way of assigning value to 'log' is also supported
* 'log' is the parameter to control producing log files
### List of Functions
* Inspection
* inspect_map: Classify The Columns of A Data Frame
* inspect_na: Find Out Which Columns Have Most NAs
* inspect_smap: A Simplified Thus Faster Version of inspect_map
* Imputation
* impute_mean: Impute Missing Values by Mean
* impute_median: Impute Missing Values by Median
* impute_mode: Impute Missing Values by Mode
* Encoding
* encode_binary: Encode Binary Data Into 0 and 1
* encode_ordinal: Encode Ordinal Data Into Integers
* encode_onehot: One Hot encoding
* Partitioning
* partition_random: Partition A Dataset Randomly
* Other
* wh_dict: Create Data Dictionary from Data Warehouse
## Installation
You can install from [CRAN](https://cran.r-project.org/package=cleandata):
```r
install.packages('cleandata')
```
Alternatively, you can download the source package from the release page of this GitHub repo.
```r
# place the source package in your work directory
install.packages('cleandata_0.3.0.tar.gz', repos = NULL, type="source")
```
## Usage
```r
# loading the package
library('cleandata')
# getting help
help(package = 'cleandata')
# getting demos
browseVignettes('cleandata')
```
## List of Top-level Contents
* DESCRIPTION: general Information of "cleandata"
* NAMESPACE: specifies what functions are accessible by users
* LICENSE: license file of "cleandata"
* NEWS.md: news of updates
* cran-comments.md: a record of correspondence with CRAN
* README.md: this file
* R/: source codes of "cleandata"
* man/: source codes of the documentation of "cleandata"
* vignettes/: source codes of the vignettes of "cleandata"
## Update History
* 07/18/2018: version 0.1.0 was submitted to CRAN
* 09/03/2018: version 0.2.0 was uploaded to GitHub
* 09/13/2018: version 0.2.0 was submitted to CRAN
* 11/30/2018: version 0.3.0 was submitted to CRAN