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")