dlookr-package: dlookr: Tools for Data Diagnosis, Exploration, Transformation

In choonghyunryu/dlookr: Tools for Data Diagnosis, Exploration, Transformation

dlookr: Tools for Data Diagnosis, Exploration, Transformation

Description

dlookr provides data diagnosis, data exploration and transformation of variables during data analysis.

Details

It has three main goals:

• When data is acquired, it is possible to judge whether data is erroneous or to select a variable to be corrected or removed through data diagnosis.

• Understand the distribution of data in the EDA process. It can also understand the relationship between target variables and predictor variables for the prediction model.

• Imputes missing value and outlier to standardization and resolving skewness. And, To convert a continuous variable to a categorical variable, bin the continuous variables.

To learn more about dlookr, start with the vignettes: 'browseVignettes(package = "dlookr")'

Author(s)

Maintainer: Choonghyun Ryu [e-mail]

See Also

Useful links:

• https://github.com/choonghyunryu/dlookr/

• https://choonghyunryu.github.io/dlookr/

• Report bugs at https://github.com/choonghyunryu/dlookr/issues

choonghyunryu/dlookr documentation built on June 11, 2024, 9:12 a.m.