dlookr: Tools for Data Diagnosis, Exploration, Transformation

A collection of tools that support data diagnosis, exploration, and transformation. Data diagnostics provides information and visualization of missing values and outliers and unique and negative values to help you understand the distribution and quality of your data. Data exploration provides information and visualization of the descriptive statistics of univariate variables, normality tests and outliers, correlation of two variables, and relationship between target variable and predictor. Data transformation supports binning for categorizing continuous variables, imputates missing values and outliers, resolving skewness. And it creates automated reports that support these three tasks.

Version: 0.3.0
Depends: R (≥ 3.2.0)
Imports: dplyr, magrittr, tidyr, ggplot2, RcmdrMisc, corrplot, rlang, purrr, tibble, tidyselect, classInt, moments, kableExtra, prettydoc, smbinning, xtable, knitr, rmarkdown, RColorBrewer, gridExtra, tinytex, methods, DMwR, mice, rpart, randomForest
Suggests: ISLR, nycflights13, testthat
Published: 2018-04-27
Author: Choonghyun Ryu [aut, cre]
Maintainer: Choonghyun Ryu <choonghyun.ryu at gmail.com>
License: GPL-2
NeedsCompilation: no
CRAN checks: dlookr results


Reference manual: dlookr.pdf
Vignettes: Exploratory Data Analysis
Data quality diagnosis
Data Transformation
Package source: dlookr_0.3.0.tar.gz
Windows binaries: r-devel: dlookr_0.3.0.zip, r-release: dlookr_0.3.0.zip, r-oldrel: dlookr_0.3.0.zip
OS X binaries: r-release: dlookr_0.3.0.tgz, r-oldrel: dlookr_0.3.0.tgz


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