Restaurant Sales Report

In the end, you should only measure and look at the numbers that drive action, meaning that the data tells you what you should do next.🥰

Please do upvote if you love the work.♥️🥰
*For more related datasets: *
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Description:
This dataset captures sales transactions from a local restaurant near my home. It includes details such as the order ID, date of the transaction, item names (representing various food and beverage items), item types (categorized as Fast-food or Beverages), item prices, quantities ordered, transaction amounts, transaction types (cash, online, or others), the gender of the staff member who received the order, and the time of the sale (Morning, Evening, Afternoon, Night, Midnight). The dataset offers a valuable snapshot of the restaurant's daily operations and customer behavior.

Columns:

1. order_id: a unique identifier for each order.
2. date: date of the transaction.
3. item_name: name of the food.
4. item_type: category of item (Fastfood or Beverages).
5. item_price: price of the item for 1 quantity.
6. Quantity: how much quantity the customer orders.
7. transaction_amount: the total amount paid by customers.
8. transaction_type: payment method (cash, online, others).
9. received_by: gender of the person handling the transaction.
10. time_of_sale: different times of the day (Morning, Evening, Afternoon, Night, Midnight).

Potential Uses:

• Analyzing sales trends over time.
• Understanding customer preferences for different items.
• Evaluating the impact of payment methods on revenue.
• Investigating the performance of staff members based on gender.
• Exploring the popularity of items at different times of the day.

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