Bike Sales Dashboard

I designed slicers (Marital Status, Region, Education Level) generated a pivot table, determined the average salary by gender, and bought bikes according to age. Data was cleaned up and examined for any useful information.

Interpreted to mean that men buyers with higher average incomes bought more bikes than female buyers.

As comparison to Adolescent and Old Brackets, a higher proportion of Middle Age Brackets are acquired.