Mastery Quest: The Summer Olympics, Data Science

Overview:

As the world gears up for the excitement and spirit of the Summer Olympics, we invite you to participate in this Mastery Quest! Your challenge is to find a dataset on the Summer Olympics and create a visualization, model, app, or other data-related output using the tool of your choice. The goal is to practice our data skills as a community, so even a simple graph that shows something interesting or leverages a new-to-you technology is worth sharing! We encourage you to share how you created it and share links to any related code, notebook, or live output so others can learn and find inspiration from you. 

Guidelines:

• Theme: Your project should clearly reflect the Summer Olympics theme.
• Technology: You are free to use any tools or software you are comfortable with, such as D3.js, Tableau, Python (Matplotlib, Seaborn), R (ggplot2), or any other data visualization libraries and frameworks.
• Creativity: Think outside the box! Your project can be a visual medal tally, a comparison of past Olympic performances, a map of Olympic venues with historical data, or any other visualization that showcases the Olympic spirit.

Important Dates

• Open for submission July 15, 2024
• Entries close July 26, 2024
• Winners announced August 1, 2024

How to Enter:

1. Join the dedicated thread in the Bletchley Discord #contests channel: Data Quest: Visualize the Olympic Data
2. Leave a comment in the thread with the following:some text
   1. A screenshot of your creation.
   2. Your project files or a link to your hosted project/repository.
   3. A brief description (150-200 words) explaining your project's concept and how it embodies the Summer Olympics theme.
   4. Make sure to mention the technologies you used and any notable features or challenges you encountered during the development.

Judging Criteria:

• Relevance: How well does the project align with the Summer Olympics theme?
• Creativity: How original and innovative is the concept?
• Functionality: Does the visualization convey the data effectively? Is it user-friendly?
• Presentation: How visually appealing is the design? Is the visualization clear and informative?

Our Judge:

Mitch Beebe is a Data Scientist at Flatiron School and has over 10 years of experience in data science and analytics. His favorite Olympic sport is wrestling.

Support

Need help or have questions about the quest? Jump into our Discord server and use the #contests thread that has been setup specifically for this quest: Data Quest: Visualize the Olympic Data

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