this statistic is a little easier.

The simplest statistic,

is to look at the number of orders per day. Of course,

the number of orders is not the same as the number of customers.

So if we can't accurately calculate the number of customers each list represents,

then we need an estimate here.

And this estimate is based on the type and size of the restaurant.

For example,

a McDonald's restaurant should have an estimate around 3,

because in any typical McDonald's,

the largest number of tables are for four people,

so the average estimate we take should be around 4.

When we have a rough estimate,

Multiply our estimate with the number of orders,

and we have a rough idea of the daily traffic.

For a shopping mall,

I think it's a little more difficult to calculate traffic here.

Here I think we need some hardware to be able to calculate the mall traffic more accurately.

We could use a camera at the entrance of the mall to count the people passing by each day.

We can also capture the number of people entering the mall on a daily basis by using monitors at the mall gates.

Over time we will get a more accurate conversion rate (i.e. people entering the mall divided by the total number of people passing by the mall).

Generally speaking, the conversion rate for a department store is 10% to 20%,

and for a specialty store on a main street, it's 20% to 30%.

I hope this helps