Name: Coffee Sales Dataset
Creator: Kaggle
License: http://opendatacommons.org/licenses/dbcl/1.0/

About this Dataset

Coffee Sales Dataset

This dataset contains sample records of coffee sales. It is designed for practice in data analysis, cleaning, visualization, and machine learning. The data is synthetic and does not include any personal or sensitive customer information.

Columns (common possibilities):

Date – The date of the transaction

Product – The type of coffee (e.g., Espresso, Latte, Cappuccino)

Quantity – Number of units sold

Unit Price – Price per item

Total Sales – Total revenue for that transaction

**Store/Location (if included) **– Coffee shop branch or sales outlet

Possible Uses:

Practice with data cleaning and preprocessing

Exploratory Data Analysis (EDA) and visualization (e.g., sales by product, time trends)

Learning how to group, aggregate, and summarize sales data

Beginner-friendly machine learning tasks such as forecasting sales

Tables

Coffe Sales

@kaggle.rehan497_synthetic_coffee_sales_data_for_analysis.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
);