dlookr provides data diagnosis, data exploration and transformation of variables during data analysis.
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. We can also understand the relationship between target variables and predictor variables for the prediction model.
Imputates including missing value and outlier, standardization and resolving skewness, and binning of continuous variables.
To learn more about dlookr, start with the vignettes: `browseVignettes(package = "dlookr")`
Useful links:
Report bugs at https://github.com/choonghyunryu/dlookr/issues