Solomon Thank you so much for your feedback. I really appreciate this. I would implement changes.
Regarding the comparison of buyers vs non-buyers, I just wanted to show overall buying trends.
For the colours it didn’t occur to me that I can change it. I just picked any chart I thought was easy to understand from the options given.
My interpretation of the data
I thought I would be told the problem they want to solve where I downloaded the data but I did not see any information😆
So, for me I think it's important to know the average income of both genders that bought bikes. This will help to understand the target market. The gap between the income of those that bought and didn't is little so, I think the store owner could stock different types of bikes so that the different income earners could pick what suits their income.
Also, the customer commute is to know which distance buy the most. From the chart those those with shorter commute distance buy the most. The store owner could consider opening stores in areas with longer commute distances. This could help increase sales.
The age bracket chart is to know the age range to target the most which is the middle age.
Although I know additional information like region, education and occupation would help make better decisions. I wanted to include them on the dashboard using the "insert slicer" feature but it's not reflecting on the dashboard maybe because I used Google sheet.
