Doctor Facial Features and Offline Conversion Rates from a Chinese Online Medical Platform

7547 doctor profiles, including images and ratings, were scraped from the Chinese platform haodf.com. The dataset likely contains calculated facial feature values and offline conversion metrics. It was authored by Xue Zhang and last updated in June 2026.

Use Cases

• Modeling the relationship between facial attractiveness and offline service conversion based on the study's findings.
• Analyzing the moderating effect of user satisfaction ratings on gender-based conversion patterns as described.
• Investigating the role of smile intensity in online medical service selection decisions.
• Training models to predict conversion rates from doctor profile images and electronic word-of-mouth data.

Strengths

• Contains data for 7547 doctors, providing a substantial sample size.
• Facial feature values were calculated using commercial software, suggesting a structured analysis.

Limitations

• The dataset is very small at 5.5 KB, indicating limited scope or aggregated summary statistics.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.

Provenance

Source

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

Collection Method

Data was collected using Python scripts to scrape doctor pictures and information.

Freshness

Last updated 2026-06-03 17:48:44; freshness should be verified.

Geography

China