I chose the article about demographic shift chaning the world (https://www.nytimes.com/interactive/2023/07/16/world/world-demographics.html). Across the world populations in developed and rich countries are having a higher proportion of 65 and older residents. This would lead to problems with an overextended pension system and a smaller working class. All of these changes could influence global economic dynamics and geopolitical power balances. There is a map that shows average population age as time increases by a year which showed a very clear and understandable storyline. Something compelling about this text was how it framed the problem as a global issue. The visual describing largest working-age share of population visualization is labled well and is straightforward to understand. One idea we could use is use the density ridges plot to compare the cancer risk of different pollutants.
I choose the article titled “The Changing Nature of Middle-Class Jobs. Here is the link: https://www.nytimes.com/interactive/2015/02/23/business/economy/the-changing-nature-of-middle-class-jobs.html. The article discusses the type of Middle-Class jobs, classified as paying between $40,000 and $80,000 dollars per year, which have changed from 1980 to 2012. The article also does a breakdown of jobs by gender, and the data shows occupations that have gained share are held by mostly women, while occupations that have lost share are held by mostly men. The visualizations show jobs held by women in red and jobs held by men in blue, which allows you to compare jobs that are gained and lost. The data is also grouped by occupation type, which allows you to compare how different industries are doing. The text was very clear with no more than 3 sentences per paragraph. The final graph showing jobs by industry. The description of the graph is very clear and tells you the most important conclusions. It also colors the lines red or blue so you can see the gender breakdown at the same time. The graph tells you a lot of information. The only thing missing from the description would be a more detailed breakdown of jobs by industry, but maybe thats not the question they are interested in. I would love to add cool graphs that look similar to the ones in this article.
We are aiming to explore the relationship between hazardous air polutants in the United States and cancer risk. This is a very interesing and important question to answer both from a public health and environmental justice perspective because people cannot control whether or not they are exposed to air pollution. We aim to explore what groups are most vulnerable to this increased risk. Two examples of possible analysis are urban versus rural communities, or different states.
The data comes from the EPA and uses data from monitor station in order to analyse a national cancer risk. The EPA collected the data through their air quality monitorin stations across the United States. They looked at a 5-year average from 2013-2017 and the population levels and demographics whithin 1 mile of the monitoring staion. We will be focusing on the different types of pollutatnts that each station monitored as well as the linked risk for cancer around these spots.