Name: Comprehensive Credit Card Transactions Dataset
Creator: Kaggle
License: https://www.apache.org/licenses/

About this Dataset

Comprehensive Credit Card Transactions Dataset

Data is the new oil, and this dataset is a wellspring of knowledge waiting to be tapped😷!

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Description:
Welcome to the world of credit card transactions! This dataset provides a treasure trove of insights into customers' spending habits, transactions, and more. Whether you're a data scientist, analyst, or just someone curious about how money moves, this dataset is for you.

Features:

Customer ID: Unique identifiers for every customer.
Name: First name of the customer.
Surname: Last name of the customer.
Gender: The gender of the customer.
Birthdate: Date of birth for each customer.
Transaction Amount: The dollar amount for each transaction.
Date: Date when the transaction occurred.
Merchant Name: The name of the merchant where the transaction took place.
Category: Categorization of the transaction.

Why this dataset matters:
Understanding consumer spending patterns is crucial for businesses and financial institutions. This dataset is a goldmine for exploring trends, patterns, and anomalies in financial behavior. It can be used for fraud detection, marketing strategies, and much more.

Acknowledgments:
We'd like to express our gratitude to the contributors and data scientists who helped curate this dataset. It's a collaborative effort to promote data-driven decision-making.

Let's Dive In:
Explore, analyze, and visualize this data to uncover the hidden stories in the world of credit card transactions. We look forward to seeing your innovative analyses, visualizations, and applications using this dataset.

Tables

Credit Card Transaction Flow

@kaggle.rajatsurana979_comprehensive_credit_card_transactions_dataset.credit_card_transaction_flow

1.43 MB
50,000 rows
9 columns

CREATE TABLE credit_card_transaction_flow (
  "customer_id" BIGINT,
  "name" VARCHAR,
  "surname" VARCHAR,
  "gender" VARCHAR,
  "birthdate" VARCHAR,
  "transaction_amount" DOUBLE,
  "date" VARCHAR,
  "merchant_name" VARCHAR,
  "category" VARCHAR
);