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CableTV Consumer Analytics Set
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About
This collection provides key demographic and behavioural information concerning individuals who have subscribed to a particular Cable TV service. It allows for the analysis of customer profiles, including factors such as age, income, and home ownership status, alongside their actual subscription behaviour and customer segment assignment. This data is highly relevant for studies in consumer analytics and marketing segmentation.
Columns
The dataset contains seven distinct variables detailing subscriber characteristics:
- Age: The age of the TV subscriber. Values range widely, from 19.3 to 80.5 years, with a mean age of approximately 41.2.
- Gender: The gender of the TV subscriber, split nearly equally between Female (52%) and Male (48%).
- Income: The financial income of the subscriber. The mean income is around 50.9k, with reported values spanning from a minimum of -5.18k up to 114k.
- kids: The number of children the TV subscriber has. The maximum number of kids reported is 7.
- ownHome: Indicates whether the subscriber owns their home (ownYes, 47%) or not (ownNo, 53%).
- subscribe: A binary factor indicating whether the individual has subscribed to the TV services (subYes, 13%) or not (subNo, 87%).
- segment: The specific segment of the TV subscriber's subscription, with 'Suburb mix' being the most common segment at 33%, followed by 'Travelers' at 27%.
Distribution
The data consists of 300 observations and 7 variables, contained within a single CSV file. All records are valid, showing 100% validity across all columns with zero missing or mismatched values. The data is static, meaning its expected update frequency is 'Never'.
Usage
This data is ideally suited for various analytical and educational applications. It can be used for training machine learning models to predict subscription likelihood based on demographic features. It is excellent for practising data visualization techniques and exploratory data analysis focusing on consumer segmentation. Furthermore, it serves as a straightforward example for data analytics coursework.
Coverage
The dataset focuses on demographic and behavioural data points derived from individuals linked to a specific Cable TV service. Demographic scope includes age, gender, income, and home ownership. Behavioural scope includes subscription status and segment type. The source indicates the material originated from a data analytics course, but specific geographic or temporal coverage details are not provided.
License
CC0: Public Domain
Who Can Use It
Data Analysts: To perform logistic regression or classification tasks aiming to understand which features most strongly correlate with a customer subscribing.
Students in Statistics/Data Science: For practical application of statistical methods and learning to handle categorical and numerical data types.
Marketing Researchers: To profile the characteristics of subscribers versus non-subscribers and define target audiences based on segmentation (e.g., 'Travelers' or 'Suburb mix').
Dataset Name Suggestions
- Cable TV Subscriber Demographics
- TV Service Customer Profiles
- Subscription Behavioural Data
- CableTV Consumer Analytics Set
Attributes
Original Data Source: CableTV Consumer Analytics Set
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