Mapping South Korea’s Total and Foreign Populations — by Municipal District

By Matt Stiles | | Topics: Demographics, South Korea

South Korea, my adopted home for almost two years, has about 50 million residents as of the last census, in 2015. Most of them are settled in the country’s urban areas. About 22 million residents, for example, live in Seoul, the capital in the country’s northwest corner, and its adjacent province, Gyeonggi.

As an experiment to create a choropleth map with D3 and NPR’s dailygraphics rig, which drives most of the visualizations here, I’ve mapped the total population by municipal districts. In this example, Seoul is outlined with red:

I am, of course, not a citizen of South Korea. I’m a “foreigner” — as we’re referred to here. This is where the 1.3 million foreigners — many of them ethnic Koreans who immigrated from China — have settled across the country. Again, Seoul is outlined with red:

And this map shows the roughly 330,000 foreigners living in Seoul proper. This time I’ve highlighted Yongsan-gu, my home district in the city center:

“Remembering Hans Rosling, The Visualization Pioneer Who Made Data Dance”

“Hans Rosling’s famous lectures combine enormous quantities of public data with a sport’s commentator’s style to reveal the story of the world’s past, present and future development.” — BBC

Professor Hans Rosling, the statistician and epidemiologist who brought dramatic flair to animated visualizations of dry public health data, has died in Finland of pancreatic cancer.

Read more at: www.washingtonpost.com

“Crafting Data-Driven Maps – Uber Design”

How Uber uses awesome tools like Mapbox, CARTO and QGIS to make its data-driven maps…

At Uber, we use maps for everything - visualizing millions of geo data points, monitoring road conditions, and advocating for policy change in cities around the world Over the last few years we have experienced immense growth. As a result, we have many teams across the organization producing map visualizations for a wide range of needs.

Read more at: medium.com

“The electoral college misrepresents every state, but not as much as you may think”

Hillary Clinton surpassed Donald Trump by more than 2 million votes, but lost the electoral college 306 to 232. In raw votes, it was the largest popular-vote lead in history for a candidate who lost the election. The nature of the results has again stirred up debate about the merits of using the electoral college system.

Read more at: www.washingtonpost.com

Four Decades of State Unemployment Rates, in Small Multiples, Part 2

By Matt Stiles | | Topics: Economy & Finance

I posted recently about how the state-by-state unemployment rate has changed during my lifetime. The result was a small multiples grid that put the states in context with one another.

Today I’ve created a new version aimed at identifying more precisely how each state has differed from the national unemployment rate during the last four decades. The lines show the percentage point difference — above (worst) or below (better) — from the national rate.

This view allows us easily to identify the most anomalous states in both directions (West Virginia, for example, had quite an unemployment spike during the 1980s; South Dakota, on the other hand, has never been worse than the national rate).

There’s plenty more to explore in this quick remix: