The data structure from the Excel file shows that each sheet likely represents a different test or assessment scenario, with columns indicating groups (e.g., Group A, Group B, Group C) and rows indicating gender (Male, Female) followed by scores. The column names are repeated with variations like .1, .2 to differentiate between different instances within the same group. This structure suggests that for gender distribution analysis, we need to consider the second row for gender identification across different groups.

The analysis of average scores by gender across all groups in the dataset reveals that both males and females have an equal average score of approximately 60.16. This suggests that there is no significant difference in performance between genders within this dataset.