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dataframeexplorer  

Familiarity with Dataframes Before Data Manipulation
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("dataframeexplorer", "1.0.2")



Attach the package and use:
library("dataframeexplorer")
Maintained by
Ashrith Reddy
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-04-08
Latest Update: 2022-04-04
Description:
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.
How to cite:
Ashrith Reddy (2020). dataframeexplorer: Familiarity with Dataframes Before Data Manipulation. R package version 1.0.2, https://cran.r-project.org/web/packages/dataframeexplorer. Accessed 21 Nov. 2024.
Previous versions and publish date:
0.1.5 (2020-04-08 18:20), 0.1.6 (2020-04-17 09:00), 0.1.7 (2020-06-26 08:40), 1.0.0 (2020-11-10 10:00)
Other packages that cited dataframeexplorer R package
View dataframeexplorer citation profile
Other R packages that dataframeexplorer depends, imports, suggests or enhances
Complete documentation for dataframeexplorer
Functions, R codes and Examples using the dataframeexplorer R package
Some associated functions: detect_const_cols . detect_dupl_cols . frequency_table . glimpse_to_file . level_of_data . percentiles_table . 
Some associated R codes: detect_const_cols.R . detect_dupl_cols.R . frequency_table.R . glimpse.R . level_of_dataset.R . percentiles.R .  Full dataframeexplorer package functions and examples
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