Different types of graphs and when you should use each + some random visuals I've always found useful.
Patrick Stox presenting at Digital Elite Day 2020
2. @patrickstox
• Product Advisor, Technical SEO, &
Brand Ambassador at Ahrefs
• I write for Ahrefs blog but have written for many industry publications
in the past
• I speak at some conferences like SMX, Pubcon, UnGagged, TechSEO
Boost
• Organizer for the Raleigh SEO Meetup (most successful in US) and
the Beer & SEO Meetup
• We also run a conference, the Raleigh SEO Conference
• Founder Technical SEO Slack Group (message me for an invite)
• Moderator /r/TechSEO on Reddit
Who is Patrick Stox?
30. @patrickstox
Tree Map - Composition
Keyword
opportunities
R Haussman, Cesar Hidalgo, et. al. Creative Commons Attribution-Share alike 3.0
Unported license. See permission to share at:
http://atlas.media.mit.edu/about/permissions/ / CC BY-SA
46. @patrickstox
Network Graph – Structure – Data OptionsNode Size - usually represented by some kind of importance
•Internal PageRank (most linked pages internally)
•CheiRank (based on links out, so shows pages that don't link out as much)
•UR (accounts for external and internal links, most comprehensive strength metric)
•Traffic (for graphs where you want to show importance of pages)
•Traffic Value (for graphs where you want to show importance of pages)
Node Color
•Issues (can be used to show things like http vs https, 404 pages, noindexed pages, non-canonical pages, etc and helps to show scope of various
issues)
•Depth (clicks from root. While I don't personally find this important some SEOs do)
•Groups (based on website structure such as folders, based on modularity which looks at link neighborhoods, or sometimes topical groups which
requires labeling)
Line Thickness - some kind of weight importance from linking page
•Internal PageRank (most linked pages internally)
•CheiRank (based on links out, so shows pages that don't link out as much)
•UR (accounts for external and internal links, most comprehensive strength metric)
•Traffic (for graphs where you want to show importance of pages)
•Traffic Value (for graphs where you want to show importance of pages)
Line Color
•Link type (follow/nofollow, Redirect)
•Location of link (header, footer, content)
•Groups (based on website structure such as folders, based on modularity which looks at link neighborhoods, or sometimes topical groups which
requires labeling)
Distance - usually represents how well linked something is. Further from center = less links to the page.
47. @patrickstox
Some Tools To Help Create Visualizations
• Excel
• Tableau
• Canva
• Python or R
• Power BI
• D3.js