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ezEDA
View on CRAN: Click
here
Download and install ezEDA package within the R console
Install from CRAN:
install.packages("ezEDA")
Install from Github:
library("remotes")
install_github("cran/ezEDA") Install by package version:
library("remotes")
install_version("ezEDA", "0.1.1") Attach the package and use:
library("ezEDA")
Maintained by
Viswa Viswanathan
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-06-25
Latest Update: 2025-08-25
Description:
Enables users to create visualizations using functions
based on the data analysis task rather than on plotting mechanics. It hides
the details of the individual 'ggplot2' function calls and
allows the user to focus on the end goal. Useful for quick preliminary explorations.
Provides functions for common exploration patterns. Some of the ideas in this
package are motivated by Fox (2015, ISBN:1938377052).
How to cite:
Viswa Viswanathan (2020). ezEDA: Task Oriented Interface for Exploratory Data Analysis. R package version 0.1.1, https://cran.r-project.org/web/packages/ezEDA. Accessed 16 Jul. 2026.
Previous versions and publish date:
Other packages that cited ezEDA R package
View ezEDA citation profile
Other R packages that ezEDA depends,
imports, suggests or enhances
Complete documentation for ezEDA
Functions, R codes and Examples using
the ezEDA R package
Some associated functions: category_contribution . category_tally . col_to_factor . ezeda . measure_change_over_time_long . measure_change_over_time_wide . measure_distribution . measure_distribution_by_category . measure_distribution_by_two_categories . measure_distribution_over_time . multi_measures_relationship . two_category_contribution . two_category_tally . two_measures_relationship .
Some associated R codes: contributions.R . ezeda.R . measure-distribution.R . measure-relationships.R . measure_trends.R . tallies.R . utils.R . Full ezEDA package functions and examples
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