Pizza Place Sales

The objective of this project is to analyze a year's worth of sales data from a fictitious pizza place. The data includes the date and time of each order, the pizzas served, and additional details such as the type, size, quantity, price, and ingredients of each pizza. The analysis will answer the following questions:

1. How many customers do we have each day and are there any peak hours?
2. How many pizzas are typically in an order and do we have any bestsellers?
3. How much money did we make this year and can we identify any seasonality in the sales?
4. Are there any pizzas that we should take off the menu or any promotions we could leverage?

This analysis will provide valuable insights into the sales performance and customer behavior of the pizza place, which can be used to make informed business decisions and improve future sales.

The results of the analysis helped us to understand customer buying behavior, to identify best-selling pizzas, and optimize the sales of the restaurant.