This module will analyze four hockey nations participating in this year's Olympics to determine who has the best chance at winning the Gold medal at the 2026 Men's Hockey tournament.
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Learning Objectives
By the end of this module, you will be able to:
- Locate, clean and use player performance data to evaluate four nations in the upcoming Olympics.
- Compare the teams in different ways using a core set of average metrics.
- Translate your analysis into an infographic that tells a fun and compelling story.
Module Map
This module contains the following progressive lessons.
- Lesson 1: The Big Question
- Introduces the 'big question' that this module will analyze.
- Lesson 2: Show Me the Data
- Learn how we sourced and curated the NHL data (and filtered to four nations).
- Lesson 3: Stats and Methodology (Coming 02/09/26)
- Understand the stats that matter and how to use them in an analysis.
- Lesson 4: Data Analysis and Visualizations (Coming 02/11/26)
- Compare four teams worth of NHL player performance data – to ultimately analyze who might come out ahead.
- Lesson 5: Discovering the Storyline (Coming 02/13/26)
- Create a story flow that can be represented through an infographic.
Module Resources
Below are key resources you can use to follow along with this module.
- 4 Teams Worth of Player Performance Data
- Microsoft Excel Data Analysis
- R Code to Analyze the Player Performance Data
All module resources can be found at our Data Punk Media GitHub repo folder.
Published Story
Coming 02/09/26
Check out our Stories page for more deep dives on different data stories.
Key Takeaways
Coming 02/09/26
Additional Resources
Coming 02/09/26