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

7,547 doctor profiles from the Chinese online medical platform haodf.com were collected using Python. The dataset includes calculated facial feature values from doctor images, such as attractiveness, smile, and gender, linked to offline conversion rates. It was created by Xue Zhang and last updated in June 2026.

Use Cases

• Analyze the relationship between facial attractiveness and service conversion based on the described facial feature values.
• Study the moderating effect of user satisfaction evaluations on gender's impact on conversion rates.
• Train models to predict user conversion likelihood based on visual and electronic word-of-mouth features mentioned in the description.
• Investigate the first impression effect in online healthcare platform design using the collected image and evaluation data.

Strengths

• Contains data for 7,547 doctors, providing a substantial sample for analysis.
• Links specific facial feature values (attractiveness, smile, gender) to a concrete business metric (offline conversion rate).
• Data is shared under a permissive CC-BY-4.0 license, allowing for broad reuse.

Limitations

• The dataset is very small at 5.5 KB, indicating limited scope or feature depth.
• 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

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

Freshness

Last updated 2026-06-03 17:48:46; freshness should be verified.

Geography

China