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We love pizza!

Pizza Place Sales Analysis

A fictitious dataset with 1 fact table and 3 dimension tables: they include date and time of each order and the pizzas served, additional details on the type, size, quantity, price and ingredients. 4 files: orders.csv, order_details.csv, pizzas.csv and pizza_types.csv

Files

Pizza_sales.ipnyb / EDA with pandas

Pizza_sales_sqilite.ipynb / EDA with sql

Recommended Analysis

  • How many customers do we have each day? Are there any peak hours?

  • How many pizzas are typically in an order? Do we have any bestsellers?

  • How much money did we make this year? Can we indentify any seasonality in the sales?

  • Are there any pizzas we should take of the menu, or any promotions we could leverage?

Visualizations: PowerBI