The first step in identifying skewed data is to visualize it using tools such as histograms or box plots. These visual aids can help healthcare professionals quickly see if the data distribution is asymmetrical. Additionally, statistical measures such as skewness coefficients can provide numerical insight into the extent of skewness. A skewness value greater than 1 or less than -1 typically indicates highly skewed data.
