Lets explore the graphs above with the following questions:
1. From the top graph above, hover over the line graph to see the difference in percentage from of homeownership from 1940 to 1960. Does it show there was an increase of homeowership? Can you find the time period where there was a drop in homeownership?
2. What are the top 10 occupations for the years 1940 and 1960? To view different years, at the top of the visualization under "Choose a year," there is a slide bar where you can drag the circle at the right of the bar and click and drag to the left for the respective year (you can also click on the left or right arrow button to the right of the bar slider). Hover over the graphics below the bar to see what the occupations are. Does 1940 and 1960 have similar top 10 occupations?
3. From the bottom graph, choose four different occupations in engineering. Does all four occupations follow an uphill trend? Between the four, which has a higher percentage in home ownership?
4. From the visual, go back to the top 10 occupations for 2012. Choose 4 occupations from the top ten. Then use the four drop down menus to compare them on a graph. From the 4, which had the highest homeowner percentage?
Evaluation:
The author
created a visual that was user friendly. In her visual, she broke it down into
two components. The top part of the visual she showed the top 10 occupations of
every two years starting from 1900 to 2012. She used colorful symbols to
represent the occupations. The use of interactive data for end users such
filters and visuals help users be engaged with the data. The author also included a
line graph side by side next to a picture of a house filled with color up to
the percentage of that respective year. The line graph shares the effect of the
rise in home ownership for most occupations during the coming years. The use of
color filling up the house makes it an easy way to understand the data she was
trying to convey.
The bottom part of the visual compares four different occupations from four drop down menus and
comparing it all onto one single line graph with bright color coded lines. The author
also added grey lines to the same graph (which can be omitted) to also be
compared with all the other occupations of the timeline. However, the author provides an overwhelming list of occupations to choose from. It may cause the user to be overwhelmed. It was clear to notice
that the data was on an up climbing thread.
The visualization was able to connect to the end user's learning by displaying on the graph a steady
increase boom of ownership between 1940 and 1960. It also shows a slight decline in 2010. These observations can show the end user about the economy during those times, whether it be a rise in the economy where people were able to get more jobs and afford a mortgage, or when the economy and job market was on a decline and people could not afford to own a house.
