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This repository contains SQL scripts and Power BI files for analyzing restaurant orders data. The dataset used in this analysis includes information about customer orders, menu items, prices, and other relevant details.

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Ahmedabbas75/Restaurant-Orders

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1- Dashboard :

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2- Tables Description :

Table Field Description
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 $)
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

4- In Mind Questions :

  • General Questions related to the existence of :

    • missing values?
    • wrong datatypes for columns?
    • complete duplicates in the data?
    • outliers in numerical columns?
  • Business Questions :

    • What were the least and most ordered items? What categories were they in ?
    • What do the highest spend orders look like? Which items did they buy and how much did they spend ?
    • Were there certain times that had more or less orders ?
    • Which cuisines should we focus on developing more menu items for based on the data ?  

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This repository contains SQL scripts and Power BI files for analyzing restaurant orders data. The dataset used in this analysis includes information about customer orders, menu items, prices, and other relevant details.

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