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.
Package details |
|
---|---|
Author | Choonghyun Ryu [aut, cre] |
Maintainer | Choonghyun Ryu <choonghyun.ryu@gmail.com> |
License | GPL-2 | file LICENSE |
Version | 0.6.2 |
URL | https://github.com/choonghyunryu/dlookr/ https://choonghyunryu.github.io/dlookr/ |
Package repository | View on CRAN |
Installation |
Install the latest version of this package by entering the following in R:
|
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.