Good news, fantasy-football fans! We've got a secret weapon to help you improve your chances of winning: data!
Meet Curtis Harris. Last year, Curtis won the title in what he describes as a "long-running, highly-competitive league."
So how'd he do it? He spent hours collecting data, then creating a data-driven drafting model. He's since automated his data collection using Python, and lucky for us, he's created this dashboard.
Explore the data to find the best players. Curtis suggests focusing on players with a low coefficient of variation (meaning the player stays consistent throughout the season) and high points per game.
For more details on how to build a winning fantasy-football team, read Curtis's blog post.
And check out the rest of the best of the Tableau web for the month of July:
Tips & Tricks
Data + Science Tableau Tips - Volume 3 'The Need for Speed'
InterWorks Playing with Maps In Tableau: Making Mapping Really Interactive
Datasaurus Rex How To Make Custom Color Palettes in Tableau
Evolytics Tableau 201: How to Make a Box-and-Whisker Plot
Beyond the Basics
James Dunkerley’s Blog Geocoding and Finding Nearest Station with Google Web Services
The Information Lab 10 out of 10: Our Favourite New Features in Tableau’s Latest Release – Part 1
The Information Lab 10 out of 10: Our Favourite New Features in Tableau’s Latest Release – Part 2
VizPainter Tableau 10, Where Have You Been?!
Paint by Numbers Simple Requirements-Gathering Questions for Dashboard Design
VizCandy Where Does Inspiration Come From?
Vizable Difference In-Context Drilldown via Visual Tooltips
Storytelling with Data Improving upon 'Good Enough'
Community Musings & Updates
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