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cleandata  

To Inspect and Manipulate Data; and to Keep Track of This Process
View on CRAN: Click here


Download and install cleandata package within the R console
Install from CRAN:
install.packages("cleandata")

Install from Github:
library("remotes")
install_github("cran/cleandata")

Install by package version:
library("remotes")
install_version("cleandata", "0.3.0")



Attach the package and use:
library("cleandata")
Maintained by
Sherry Zhao
[Scholar Profile | Author Map]
First Published: 2018-07-21
Latest Update: 2018-12-01
Description:
Functions to work with data frames to prepare data for further analysis. The functions for imputation, encoding, partitioning, and other manipulation can produce log files to keep track of process.
How to cite:
Sherry Zhao (2018). cleandata: To Inspect and Manipulate Data; and to Keep Track of This Process. R package version 0.3.0, https://cran.r-project.org/web/packages/cleandata. Accessed 04 Apr. 2025.
Previous versions and publish date:
0.1.0 (2018-07-21 20:00), 0.2.0 (2018-09-14 08:20)
Other packages that cited cleandata R package
View cleandata citation profile
Other R packages that cleandata depends, imports, suggests or enhances
Complete documentation for cleandata
Functions, R codes and Examples using the cleandata R package
Some associated functions: encode . encode_binary . encode_onehot . encode_ordinal . impute . inspect_map . inspect_na . inspect_smap . partition_random . wh_dict . 
Some associated R codes: encoders.R . imputers.R . inspecters.R . internal.R . others.R . partitioners.R .  Full cleandata package functions and examples
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