Name: Coffee Sales Trends Data
Creator: Kaggle
License: https://opendatacommons.org/licenses/pddl/1.0/

About this Dataset

Coffee Sales Trends Data

Description:

The type of coffee bought, the payment method, the sale amount, the date, and the time are all included in this dataset comprehnsive records of coffee shop purchase. Additionally, it ofers time based classiffications such hour of the day, time of day, weekday, and month, which makes it helpful for examining payment preferences, sales paterns, and consumer behavior.

Content:

This dataset contains coffee shop sales record details such as sale time, payment method, amount spent, and cofee type. It also includes time-based catgorized for easier analysis of sales paterns and customer behavior.

Context:

Coffee busineses make sales all day long, and by examning these transactions, they may determine payment patterns, popular drinks, peak hours, and consumer prefernces. This dataset offers organized data for examining sales behavior, seasonal trends, and overall company sucess.

Provenance:

The dataset is compiled from coffee shop sales records, organzed with details of transctions such as time, date, payment method, and amount. It is structured for analycis of customer behavior and sales trends.

Acknowledgment:

Thanks to the coffee shop managment and staff whos sales records made this dataset posible, providing insigts into daily transctions and customer trends.

Tables

Coffe Sales 4

@kaggle.ayeshaimran123_coffee_sales_trends_data.coffe_sales_4

59.46 kB
3,547 rows
11 columns

CREATE TABLE coffe_sales_4 (
  "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
);