Exploring Coffee Sales With EDA & Visualization

About this dataset

This dataset contains 3,547 coffee shop sales record collected over different days and months. It includes details such as the type of coffee purchased, transaction amount, payment method, date, and time-related attributes (hour, weekday, and month). The data can be used for sales trend analysis, customer behavior observation and sales prediction.

Key features:

• Hour_of_day : Hour of purchase
• Cash_type : Payment method (cash/card)
• Money : Transaction amount
• Coffee_name : Type of coffee purchased
• Time_of_Day : Categorized time slots (Morning, Afternoon orEvening)
• Weekday and Month_name : Day and month of purchase
• Date and Time : Exact transaction timestamp

Potential Use Cases:

• Identify peak sales hours and best-selling coffee types
• Compare payment method preferences
• Study customer behavior across weekdays and months
• Build predictive models for future sales