Diasporas, Data, D3.js, Oh My!
summary
A D3.js project visualizes Bangladeshi migration on a world map by five-year intervals (starting 1995), built from a messy UN Excel → CSV download after government datasets only list citizenship grants. It takes about six months to clean and sanitize thousands of rows, then attach year, lat/long and migrant counts to DOM elements to animate populations. The work surfaces a 32 million discrepancy in post‑2000 counts and reveals gender undercounting, functioning as an educational, empathy‑driven visualization rather than a polished policy dataset.
AI-written summary · about
chapters (7)
- 0:00Start
- 0:50What I built
- 5:46D3.JS is a great introduction to data visualization.
- 8:32Behind the curtain. Let's look at some code
- 9:53Existential • Crisis Time! Why did I build this
- 11:36Does it even matter?
- 14:17With great power comes great responsibility.
related talks
43mBehind the Scenes at Gapminder: A Story about Data and Visualizations
38mStorytelling with your data
01h 55mUse your data to tell stories
01h 01mVisualizing and Analyzing Data in 3D
47mData, Design, Code
12mVisualizing Disparity
42mData Sketches: A Year of Exotic Data Visualisations
47mData Sketches: a year of exotic data visualizations
