The skewness of a dataset determines the direction of the outliers.

Impact

Many models assume the data to be normally distributed. Skewed data in those models will result in inaccurate predictions.

Detection

Data skewness is detected during Exploratory data analysis.

The first method is visualization. Just look at a graph lol. Histograms and box plots will get the job done.

Numerically, in a dataset, if the median < the mean, then it is skewed to the right. Vice versa.

Skewed data can be transformed to approximate a more symmetric distribution. Examples include logarithmic, square root, and inverse transformations.