Regression Results on Doctor Facial Features and Offline Conversion Rates

Xue Zhang published regression results on 2026-06-03. The dataset contains facial feature analysis for 7,547 doctors from the Chinese online medical platform haodf.com. It likely includes regression results exploring the relationship between facial features and user conversion rates.

Use Cases

• Analyze the impact of facial attractiveness on offline conversion rates based on the study's findings.
• Investigate the moderating role of satisfaction evaluations on gender effects based on the description.
• Train models to predict user conversion based on facial feature values like smile and gender.
• Study the psychological mechanisms of first impressions in online medical service selection.

Strengths

• Contains data for 7,547 doctor profiles.
• Facial feature values were calculated using commercial software.
• The dataset is small at 5.5 KB, making it easy to download and inspect.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Data may reflect geographic bias inherent to its source, haodf.com.

Provenance

Source

haodf.com, a well-known online medical platform in China.

Collection Method

Python was used to collect pictures and information; commercial software was used to calculate facial feature values.

Freshness

Last updated 2026-06-03 17:48:45; freshness should be verified.

Geography

China