Other packages > Find by keyword >

dataProfilerR  

Automated Exploratory Data Analysis and Dataset Profiling
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("dataProfilerR", "0.2.1")



Attach the package and use:
library("dataProfilerR")
Maintained by
Muhammad Farooqi
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-06-24
Latest Update: 2026-06-24
Description:
Profiles a data frame with minimal input: column type inference, missing-value analysis, distributional summary statistics (including skewness and kurtosis), normality tests, outlier detection, correlation and categorical-association analysis, date-column profiling, grouped comparisons and an overall data-quality score, alongside a set of 'ggplot2' visualisations. A single entry point, profile_data(), returns a structured S3 object holding metadata, statistics, diagnostics and plots, with print(), summary() and plot() methods, and report() renders the whole profile to a self-contained HTML file. Statistical methods include the Shapiro-Wilk normality test as implemented by Royston (1995) <doi:10.2307/2986146> and the Anderson-Darling test following Stephens (1974) <doi:10.1080/01621459.1974.10480196>, with power comparisons of these tests in Yap and Sim (2011) <doi:10.1080/00949655.2010.520163>, and the categorical association measure of Cramer (1946, ISBN:9780691080048).
How to cite:
Muhammad Farooqi (2026). dataProfilerR: Automated Exploratory Data Analysis and Dataset Profiling. R package version 0.2.1, https://cran.r-project.org/web/packages/dataProfilerR. Accessed 26 Aug. 2026.
Previous versions and publish date:
No previous versions
Other packages that cited dataProfilerR R package
View dataProfilerR citation profile
Other R packages that dataProfilerR depends, imports, suggests or enhances
Complete documentation for dataProfilerR
Functions, R codes and Examples using the dataProfilerR R package
Full dataProfilerR package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

SelvarMix  
Regularization for Variable Selection in Model-Based Clustering and Discriminant Analysis
Performs a regularization approach to variable selection in themodel-based clustering and classifica ...
Download / Learn more Package Citations See dependency  
ncodeR  
Techniques for Automated Classifiers
A set of techniques that can be used to develop, validate, and implement automated classifiers. A po ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
PCADSC  
Tools for Principal Component Analysis-Based Data Structure Comparisons
A suite of non-parametric, visual tools for assessing differences in data structures for two datase ...
Download / Learn more Package Citations See dependency  
clinUtils  
General Utility Functions for Analysis of Clinical Data
Utility functions to facilitate the import, the reporting and analysis of clinical data. Example ...
Download / Learn more Package Citations See dependency  
leafgl  
High-Performance 'WebGl' Rendering for Package 'leaflet'
Provides bindings to the 'Leaflet.glify' JavaScript library which extends the 'leaflet' JavaScript l ...
Download / Learn more Package Citations See dependency  

28,332

R Packages

239,283

Dependencies

75,113

Author Associations

28,333

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA