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. 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")`

See also