Normalization/Standardization: Transform the data to a common scale, ensuring easier comparison by accounting for differing ranges.Z-Score Transformation: Convert the data to standard units based on mean and standard deviation, enabling straightforward comparison.Percentile Ranking: Rank the data through percentile ranking, facilitating comparison regardless of absolute values.Relative Change: Calculate relative change percentages to observe how variables within each data set have altered.Visualization Techniques: Employ graphical representations like bar charts, line graphs, scatter plots, etc., to visually compare data patterns and variations.Statistical Tests: Utilize appropriate tests like t-tests, ANOVA, etc., to ascertain if significant differences exist between the data sets.Domain Knowledge: Leverage domain-specific knowledge to understand the implications of variable range differences.
