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

7547 doctor profiles were scraped from the Chinese online medical platform haodf.com. The dataset includes calculated facial feature values and was used to study the impact of appearance on offline service conversion rates. It was authored by Xue Zhang and last updated in June 2026.

Use Cases

• Modeling the relationship between facial attractiveness and offline conversion rates based on the study's findings.
• Analyzing the moderating effect of user satisfaction evaluations on gender-based conversion effects as described.
• Investigating the role of facial displays as a first impression in online healthcare platform design.

Strengths

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

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data may reflect geographic and platform bias inherent to its single 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 calculated facial feature values.

Freshness

Last updated 2026-06-03 17:48:43; freshness should be verified.

Geography

China