#1 Analyzation of two visual stories
COURSE: Visual Journalism
This data comes from a large number of interviews conducted online by the global data and survey firm Dynata at the request of The New York Times. The firm asked a question about mask use to obtain 250,000 survey responses between July 2 and July 14, enough data to provide estimates more detailed than the state level. (Several states have imposed new mask requirements since the completion of these interviews.)
Specifically, each participant was asked: How often do you wear a mask in public when you expect to be within six feet of another person?
This survey was conducted a single time, and at this point we have no plans to update the data or conduct the survey again.
To transform raw survey responses into county-level estimates, the survey data was weighted by age and gender, and survey respondents’ locations were approximated from their ZIP codes. Then estimates of mask-wearing were made for each census tract by taking a weighted average of the 200 nearest responses, with closer responses getting more weight in the average. These tract-level estimates were then rolled up to the county level according to each tract’s total population.
By rolling the estimates up to counties, it reduces a lot of the random noise that is seen at the tract level. In addition, the shapes in the map are constructed from census tracts that have been merged together — this helps in displaying a detailed map, but is less useful than county-level in analyzing the data.
Analyzing who is wearing masks in USA and what might affect them wearing or not.
Mask use is high/Mask use is often partisan/Mask use is related to Covid risk.
The Washington Post
The data sets considered were from NASA, NOAA, Berkeley Earth and the scholars Kevin Cowtan and Robert Way (because their data set includes more extensive coverage of the Arctic than the U.K. Hadley Center's data set). In addition, Karsten Haustein of Oxford University created an additional data set at our request that averages together Berkeley Earth, NASA, and Cowtan and Way from 1850 to the present. We used this data set as well. Data from Berkeley Earth was downloaded on April 16; Karsten Haustein on April 25; NASA on June 14; NOAA on Aug. 1 and Cowtan & Way on Aug. 26.
Each data set divides the globe into a grid of cells and provides a series of monthly temperature observations for each, going back to the 19th century.
The Post analyzed four global temperature data sets to determine how much of the globe has already warmed above 2 degrees Celsius. The use of temperature data, demonstrating that extreme climate change is already a life-altering reality across 10 percent of the Earth’s surface.
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