Data Visualization Competition: An Impressive Collaboration Between a Mother and Daughter

Data Visualization Competition: An Impressive Collaboration Between a Mother and Daughter

Introduction:

Welcome to this exciting blog post where I share the story of a project close to my heart. Recently, I had the opportunity to combine my love for teaching, spending time with my family, and being part of the women in data community. My 8-year-old daughter, Juliette, and I decided to enter the Women in Analytics Data Viz Competition. Our project involved using data visualizations to enhance predictions of Pokémon battle outcomes. We explored datasets, created scorecards, and even made stunning illustrations. Through this experience, Juliette honed her Pokémon knowledge, while I gained insights into the power of data visualization. Join us on this journey and discover how this project turned out to be a great success. Be sure to check out the 3D model of our final poster created with the LiDAR feature of the iPhone 12. Thank you for reading!

Full Article: Data Visualization Competition: An Impressive Collaboration Between a Mother and Daughter

In an exciting new project, a data enthusiast and her 8-year-old daughter teamed up to participate in the Women in Analytics Data Viz Competition. Combining their love for data analysis and Pokémon, they aimed to use data visualizations to enhance predictions of Pokémon battle outcomes.

The Project Details
To begin their analysis, the duo selected 6 Pokémon battles to evaluate. They relied on the Kaggle Pokémon dataset and the Super Deluxe Essential Handbook for their data. The availability of these resources was previously pointed out by Emily Robinson in a thread discussing kids and data.

Exploring the Data
Together, they explored the datasets, with the data enthusiast handling the navigation and operations while her daughter acted as the subject matter expert (SME), explaining concepts and column definitions. They encountered a misconception regarding the ‘against_x’ variables, initially assuming they represented Pokémon strengths against particular powers when they actually indicated weaknesses. To visualize the data, they used rawgraphs.io, a tool that allowed them to experiment with various charting options.

Creating the Scorecards
Brainstorming for impactful scorecard designs, the team decided on a combination of images, graphs, and written content. They ultimately selected bar and radar graphs. The daughter was particularly excited about creating comparative, multiplayer radar graphs that she wished were included in the Pokémon Let’s Go game.

The Illustrations
Using the Procreate app for digital illustration, the daughter created seven Pokémon character drawings, including popular characters like Blastoise and a Pokéball. The mother highly recommended Procreate for those interested in improving their drawing skills or exploring digital art as a hobby.

The Scorecards
The scorecards featured radar graphs plotting Pokémon characters’ performance in hit points, attack, defense, speed, special defense, and special attack. While Pokémon Let’s Go includes a similar visualization, it does not allow for a direct comparison between two characters, making it challenging to evaluate their relative performance. Bar charts and scorecards were compiled in keynote, while the radar graph grids were created in Excel. To make the scorecards and radar graphs easily applicable to the poster board, they were printed on full-page shipping labels.

Thank You for Reading!
The mother and daughter considered the project a success. The scorecards helped the daughter re-evaluate and improve her ability to predict Pokémon battle outcomes. Additionally, she gained a deeper appreciation for the power of data visualization. The mother also significantly expanded her knowledge of Pokémon and its impact on battle performance.

In an exciting update, the team was able to capture a 3D model of the final poster using the LiDAR feature on their new iPhone 12. This new addition further enhanced their project and highlighted their dedication to embracing technology and innovation.

Summary: Data Visualization Competition: An Impressive Collaboration Between a Mother and Daughter

In this blog post, the author shares their excitement about a project they completed combining their passions for teaching, spending time with family, and being involved in the women in data community. The project involved participating in the Women in Analytics Data Viz Competition with their 8-year-old daughter. They used data visualizations to boost Pokémon battle outcome predictions, combining the Kaggle Pokémon dataset and the Super Deluxe Essential Handbook. They explored the data together, created impactful scorecards using bar and radar graphs, and incorporated beautiful illustrations created by their daughter. The project was a success, leading to better predictions and a newfound understanding of Pokémon characteristics and battle performance. A 3D model of the final poster is also shared.

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