Name: Exploring Coffee Sales With EDA & Visualization
Creator: Kaggle
License: https://opendatacommons.org/licenses/pddl/1.0/

About this Dataset

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

Tables

Coffe Sales

@kaggle.wardabilal_exploring_coffee_sales_with_eda_and_visualization.coffe_sales

59.46 kB
3,547 rows
11 columns

CREATE TABLE coffe_sales (
  "hour_of_day" BIGINT,
  "cash_type" VARCHAR,
  "money" DOUBLE,
  "coffee_name" VARCHAR,
  "time_of_day" VARCHAR,
  "weekday" VARCHAR,
  "month_name" VARCHAR,
  "weekdaysort" BIGINT,
  "monthsort" BIGINT,
  "date" TIMESTAMP,
  "time" VARCHAR
);