Exercise

# What percent of sales occurred at each store type?

While `.groupby()`

is useful, you can calculate grouped summary statistics without it.

Walmart distinguishes three types of stores: "supercenters," "discount stores," and "neighborhood markets," encoded in this dataset as type "A," "B," and "C." In this exercise, you'll calculate the total sales made at each store type, without using `.groupby()`

. You can then use these numbers to see what proportion of Walmart's total sales were made at each type.

`sales`

is available and `pandas`

is imported as `pd`

.

Instructions

**100 XP**

- Calculate the total
`weekly_sales`

over the whole dataset. - Subset for
`type`

`"A"`

stores, and calculate their total weekly sales. - Do the same for
`type`

`"B"`

and`type`

`"C"`

stores. - Combine the A/B/C results into a list, and divide by
`sales_all`

to get the proportion of sales by type.