Dark Mode
Customer Income and Spending Metrics
Product Reviews & Feedback
Tags and Keywords
Trusted By
"No reviews yet"
Free
About
Provides simple metrics related to customer income and spending habits, designed specifically for machine learning applications. The data includes key demographic indicators like gender and region, enabling the initial stages of market segmentation analysis. This dummy dataset is straightforward and ideal for practitioners looking to explore basic customer grouping techniques.
Columns
- ID (Customer ID): A unique numerical identifier for each customer. Total valid records are 1,113, with IDs ranging up to 1,113.
- Gender: Indicates the customer's stated gender (Male, Female, or Other). The majority of records are split between Male (51%) and Female (48%).
- Region: Specifies whether the customer resides in a Rural or Urban location. The data distribution is approximately equal, with Rural at 50% and Urban at 49%.
- Income: The customer's reported monthly income, measured in millions. The mean income is 26 million/month, with a standard deviation of 13.4.
- Spending: The customer's reported monthly spending, measured in millions. The mean spending is 11.3 million/month, with a standard deviation of 4.6.
Distribution
The data is structured for straightforward analysis and is typically provided in a CSV file format. It consists of 5 distinct columns. The total number of valid records is roughly 1,113. The dataset exhibits high usability, scoring 10.00, but is static and is expected never to be updated.
Usage
This dataset is perfect for applying unsupervised machine learning algorithms. Primary applications include performing customer segmentation using techniques such as K-Means Clustering or Hierarchical Clustering. Data analysts can use the resulting groups for further interpretation and subsequent strategic business planning.
Coverage
The scope is entirely demographic and behavioural, focusing on paired financial metrics (Income and Spending) and basic demographic fields (Gender and Region). As this is a generated dummy dataset, it is not tied to a specific geographic location or fixed time range. Demographic segments include Male, Female, and Other, as well as Rural and Urban categories.
License
CC0: Public Domain
Who Can Use It
- Beginner Data Scientists: Ideal for practising fundamental skills in unsupervised learning and data preprocessing.
- Business Analysts: Developing early-stage prototypes for consumer grouping models.
- Educators: Creating engaging assignments to teach foundational clustering concepts within data science coursework.
Dataset Name Suggestions
- Customer Income and Spending Metrics
- Simple Data for Clustering
- Customer Segmentation Dummy Metrics
Attributes
Original Data Source: Customer Income and Spending Metrics
QUALITYLoading...