visual analysis of portfolio websites

Excerpt from research article

Data Science
Research

This research analyses the landing pages of portfolio websites based on visual parameters. The goal was to identify a sweetspot to position a website in the field of data science and design.

Used visual variables to cluster the data:

  • Typography
  • Font Sizes
  • Layout Structure
  • Text to image ratio
  • Text Length
  • Visual Hierarchy

Further details

The websites were also clusterd based on the section of contents on their landing page, like hero-section, about, description, projects, work, contact … etc.