For this dataset, no data-cleaning processes were needed, so I jumped straight into visualizing what the final dashboard could have looked like. I created a custom format for sales numbers and calculated the month-to-date percentage variation.

I created the map (on the right), all the graphs, and the related filters, and then I put them all together.

This dashboard could be used to understand which gender is more likely to buy a specific car (manual/automatic/brand/etc), but even to have a general idea of how the business is going and which state's filiate is doing better than the other. The manager can also rely on the list of top-selling and least-selling cars, to help him make marketing and selling decisions, such as stopping the sale of a brand.

All the icons on the left side are buttons that link to specific sheets, where the pivot tables are located for different graphs.