Restaurant Orders Analysis: Demand Patterns & Popular Items. Refining Strategies
Dataset Description
The dataset comprises a quarterly compilation of orders from a hypothetical restaurant specializing in diverse international cuisines. Each entry includes precise timestamps, dates, items requested, alongside specific details encompassing the category, nomenclature, and corresponding price of the ordered items.
Data Dictionary
| Field | Description | |
|---|---|---|
| order_details | order_details_id | Unique ID of an item in an order |
| order_details | order_id | ID of an order |
| order_details | order_date | Date an order was put in (MM/DD/YY) |
| order_details | order_time | Time an order was put in (HH:MM:SS AM/PM) |
| order_details | item_id | Matches the menu_item_id in the menu_items table |
| menu_items | menu_item_id | Unique ID of a menu item |
| menu_items | item_name | Name of a menu item |
| menu_items | category | Category or type of cuisine of the menu item |
| menu_items | price | Price of the menu item (US Dollars $) |
Reference :
Maven Analytics. (n.d.). Maven Analytics | Data analytics online training for Excel, Power BI, SQL, Tableau, Python and more. [online] Available at: https://mavenanalytics.io [Accessed 6 Dec. 2023].
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