Household Electricity Bills with Home and Demographic Features

A mock-up dataset for practice explores how household size, home area, and appliance ownership affect monthly electricity consumption. It includes columns for the number of rooms, people, children, average monthly income, and the presence of air conditioning and televisions. The data was prepared as a practice resource and is available under an Open Database license.

Use Cases

• Predict monthly electricity bills based on household size and income.
• Analyze the impact of air conditioning ownership on energy costs.
• Compare electricity consumption patterns between urban and non-urban households.
• Model the relationship between home area and utility expenses.

Strengths

• Includes 10 specific features covering household demographics, property characteristics, and appliance ownership.
• Column descriptions are provided for all fields, clarifying data semantics.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Description metadata is limited; actual data quality requires manual inspection after download.
• The dataset is explicitly described as a mock-up for practice, which may indicate synthetic or simplified data.

Provenance

Source

openml

Collection Method

Prepared as a mock-up dataset for practice use.