Household Smart Meter Acceptance Survey Data from South Africa

Survey data used to fit binary logistic regression models predicting household satisfaction with smart electricity meters in South Africa. The dataset was authored by Nyadzeni Mafunzwaeni and last updated on May 17, 2026. It is a small dataset, 4.2 KB in size, and is shared under a CC-BY-4.0 license.

Use Cases

• Modeling predictors of household satisfaction with smart meters based on survey responses.
• Comparing the performance of different logistic regression models on the same survey data.
• Analyzing factors influencing technology acceptance in a South African residential energy context.

Strengths

• Dataset is openly licensed under CC-BY-4.0.
• The specific analysis method (binary logistic regression) is documented in the description.

Limitations

• The dataset is very small at 4.2 KB, indicating limited scope.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.

Provenance

Source

figshare

Collection Method

Likely gathered via a household survey, as inferred from the description.

Freshness

Last updated 2026-05-17 19:12:33; freshness should be verified.

Geography

South Africa