Ordinary Logistic Regression Analysis of Crop Types and Farmer Hygiene Habits

Shade J. Akinsete published an ordinary logistic regression analysis dataset on figshare in April 2026. The dataset, licensed under CC-BY-4.0, examines relationships between types of crops grown, farmers' knowledge categories, and hygiene habits. The dataset is 5.5 KB in size and is stored in an XLS file format.

Use Cases

• Modeling the relationship between crop types and farmer knowledge categories based on the described variables.
• Analyzing the influence of hygiene habits on agricultural outcomes using logistic regression.
• Training or validating logistic regression models on agricultural survey data.
• Conducting secondary analysis on farmer behavior and crop selection patterns.

Strengths

• Dataset is openly licensed under CC-BY-4.0, facilitating reuse and sharing.
• File size is 5.5 KB, indicating a compact and likely focused dataset.

Limitations

• Row count is unknown, which may limit suitability assessment for modeling tasks.
• Column-level documentation is absent; field semantics must be inferred after download.
• Description metadata is limited; actual data quality requires manual inspection.

Provenance

Source

figshare, author Shade J. Akinsete

Collection Method

Likely derived from survey or observational data, as suggested by the analysis of respondent types and habits.

Time Range

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Freshness

Last updated 2026-04-30 17:24:53; freshness should be verified.

Geography

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