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Writer's picture: Miyoung YoonMiyoung Yoon

I found electric vehicle population data from data.wa.gov.

I tried to visualize the data using three different tools: RStudio, ArcGIS, and Plotly.


Desktop RStudio


ArcGIS Map Viewer Classic

Plotly

Washington DC website




Writer's picture: Miyoung YoonMiyoung Yoon

I participated in Kyle Walker's workshop, 'Location Intelligence with R and Mapbox,' on May 15, 2024. This R Markdown document is my exercise using the Mapbox API.

Detail document link: RPubs. As part of my work log, I am open to sharing what I am doing as a hobby with others.


Through this exercise, I really enjoyed the data wrangling and tried to use the Mapbox API. I admire companies and organizations that work with geographic data. In particular, I've known about Mapbox from the early stage, but now it has become an amazing company providing diverse and necessary services.


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Writer's picture: Miyoung YoonMiyoung Yoon

Updated: Jun 4, 2024

Since I worked at the company Johnson Controls as a senior UX designer, I designed energy management systems as enterprise solutions. I had the opportunity to observe various types of data and visualizations.


As a designer, I focus on data visualization for aesthetics. However, I am deeply interested in understanding the data and finding the best fit for it to enhance people’s data literacy.


Here are my attempts to display the same data in different ways to provide varied insights. Additionally, I aim to pose questions for identifying next steps based on simple, flat data visualizations.


I hope that my trials will spark curiosity about the data and foster appreciation for the insights provided by data visualization.


Click the link to see the details.


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Miyoung Yoon

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