Tiger Woods
📊

Tiger Woods

Date
Sep 11, 2023
Tags
Data Analysis
Python
Data Visualization
Jupyter Notebook

Description

This visualization was my first infographic exercise for the Introduction to Data Visualization course by Alberto Cairo. The project is focused on the implementation of infographic and data visualization techniques learned in class.

Requirements

  • At least 4 graphs and charts (one has to be a map)
  • PDF format
  • Elements of the infographic:
    • Main headline
    • Introduction
    • Annotations
    • Content
    • Title and intro every section
    • Sources
    • Byline

Topic Selection

I selected Tiger Woods as my research focus due to my passion for golf and a compelling curiosity surrounding his performance during his peak years. While it is widely acknowledged that Tiger Woods was the preeminent golfer during this period, my aim is to comprehensively analyze and quantify his exceptional skill relative to his peers in the golfing world.

Project Hypothesis / Research Question

How good was Tiger Woods at his prime?

Data Sources

Strokes Gained
  • Overall
  • Putting
  • Off-The-Tee
  • Tee-To-Green
  • Approach
  • Around-The-Green

Data Analysis Process

Final Product

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Conclusion

The analysis conducted reveals that Tiger Woods undeniably “The Goat” in the world of golf during his prime years. His exceptional talent, consistent success, and numerous records demonstrate his dominance in the sport. The infographic compacts Tiger Woods’ prime performance into digestible graphs and charts, answering the question: “How good was Tiger Woods at his prime?” Overall, this research underscores the exceptional nature of Tiger Woods' prime years in golf, making him a significant figure in the history of the sport.

Future Work

  1. Clarity and Simplicity: One key aspect I've recognized is the importance of keeping infographics and data visualizations clear and straightforward. During this project, I identified my tendency to include too much information or overly complex charts due to the amount of data that I worked with. It could possibly overwhelm the audience; therefore, I will focus on simplifying my visuals to convey the core message more effectively.
  1. Data Storytelling: I've learned from this project that data itself is just raw material, and the real power lies in the story it can tell. In future work, I will aim to craft a compelling narrative around the data, making it more relatable and meaningful to the audience. Storytelling can help in drawing attention to key insights and creating a memorable impact.
 

👋🏻 Let’s chat!

If you are interested in working with me, have a project in mind, or just want to say hello, please don't hesitate to contact me.

Find me here 👇🏻

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Please do not steal my work. It took uncountable cups of coffee and sleepless nights. Thank you.