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PODS Spotlight 2019 : Koji Shiromoto

Hi! I鈥檓 Koji, one of the PODS fellows this summer. Originally from Tokyo and New York, I鈥檝e just finished my joint honours degree in Political Science and Economics.

I鈥檝e always been a bit of a data geek 鈥 the sort of person who would track his favourite music or sports teams on spreadsheets 鈥 and being a visual learner, I鈥檝e always tried to represent data in the most visually-appealing way possible. However, I鈥檝e always relied on Google Sheets, which had its limitations. Additionally, I鈥檝e always been enthusiastic about learning human languages 鈥 French, Japanese, German, and a bit of Italian 鈥 but I鈥檝e always shied away from learning a programming language.

So in many ways, what PODS has taught me 鈥 a solid foundation in a programming language for data analysis and visualization 鈥 was exactly what I needed, and complemented my existing interests really well. (I鈥檝e already started using these new tricks I learned, like visualization packages in R and web scraping, in my personal research projects about elections and public transit 鈥 because, as my friends can attest, I have really odd hobbies.) Not only were the instructor, TA, and course material excellent, it was a privilege to go through this experience with a truly brilliant, inquisitive, delightful, and kind-hearted cohort (whose blog posts you鈥檝e been following throughout the summer!).

In addition to the bootcamp, I was assigned to intern at Plotly, a data-visualization firm in the Mile End. There, I was put with the documentation team 鈥 who write explanations for the packages that Plotly codes 鈥 and expanded the documentation pages for the ggplotly package. This meant creating example visualizations for each function in the set. It was an excellent opportunity to explore a wide variety of datasets (I was given considerable freedom about what I could use for the examples) and to expand the types of data-visualization I feel comfortable with, beyond just points and lines. It was also an excellent way to learn Plotly鈥檚 鈥淒ash鈥 package, a way of creating interactive dashboards, and Plotly鈥檚 many great interns helped me along the way.

In short, I鈥檓 never going to forget PODS, really 鈥 every visualization project and every map I make from now on will be the result of the skills and insights I gained over this summer. I鈥檝e thought for a bit that I鈥檇 like to work in a journalistic publication that combined explanation with visualization (if you鈥檙e reading this, The Economist, please call me), and I鈥檇 like to think that, with PODS, I鈥檓 one step closer to that.

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