This video will explain in depth different ways of cleaning data with multiple errors prior to statistical analysis.
Ordinal, continuous, nominal, binomial, multinomial, dichotomous, intervals, ratio, categories, classes, incorrect data, missing data, irrelevant, duplicate, improper formatting, variable types, inconsistency, outliers, vales, labels, scale, measure, find, replace, transform, analyze, frequencies, mean , median, maximum, minimum, replace missing values, series mean