Data Visualization
Working across industries and a focused stint as data analyst made me realize that I am really bad at presenting information in a way that is succinct, powerful and intentional. In my attempt to understand the building blocks of a powerful data visualization, I am currently taking a Telling stories with data course at CMU. Through this course, I hope to bring intentionality in my data visualizations and understand how to provide and receive critique.
This page would be a living document of my progress and a repository of the artifacts created through the course.
the first one
September, 5: And we have the ball rolling!
The very first data visualization that we did in class was with a Covid-19 dataset from King County, WA that represents the number of positive and cumulative cases from early 2020. Source
Government Debt
September, 11: Government debt for G7 countries
In this exercise, I would be looking at one of the key indicator for the sustainability of government finance of major countries, specifically focusing on the G7 countries. Source
GDP Projection
September, 20: Trends in GDP, Population, and Labor force
In this exercise, I am learning critique by re-design; an essential part of visualization criticism. Deconstructing a publicly available data visualization, prototyping a solution, testing through critique, and finally incorporating everything in a final visualization. Source
the final one
October, 15: Is this really the end?
As a part of the final submission, here’s a compilation of my efforts towards presenting a story on how graduate students are not prepared to start working.
