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.
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.
1. Homeownership increased from 38% in 1940 to 61% in 1960. The only notable drop was between 1930 to 1940 where homeownership dropped from 42% to 38%. There are slight dips after 1980, but don’t appear major.
ReplyDelete2. Between 1940 and 1960, only 4 occupations remained in the top 10; Veterinarian, Postmaster, Locomotive Engineer, and Dentists. Homeownership for the top 10 occupations in 1940 was 66%, while in 1960 the top 10 occupations had 82% homeownership. For the 4 occupations that remained in the top 10 during that time period, homeownership went from 71% in 1940 to 85% in 1960.
3. I chose industrial, chemical, electrical, and civil engineering. While the numbers differ slightly from the trend shown in the top graph, the pattern is very similar, with low homeownership up to 1940, followed by a large increase in homeownership in 1960, and that staying rather steady afterwards.
4. I like the line graph representation, however some of the careers seem to have a lack of data in some time periods, notable between 1900 and 1930, but that seems expected. I also like how all of the lines are present in the chart, with the careers not being selected having their lines become gray. It allows for a better visual comparison between how 4 specific careers compare to the rest of the careers overall. It would be nice if the line showing homeownership for all occupations combined could be overlaid on the bottom chart.
1. Yes, there was an increase from 38% to 61% and from 1930 to 1940 there was a drop from 42% to 38%.
ReplyDelete2. In 1940 the top 10 occupations are: veterinarian, postmaster, mail carriers, locomotive engineers, conductors, surgeons, dentists, real estate agents, lawyers, and express messengers.
In 1960 the top 10 are: postmasters, dentists, locomotive engineers, osteopaths, heaters, blacksmiths, veterinarians, buyers and shippers, chiropractors, and millwrights.
So the ones in common are: veterinarian, postmaster, dentist, and locomotive engineers. For only a 20 year difference, the top 10 jobs changed a fair amount.
3. The pattern is remarkably similar which I did not expect.
4. Once I picked my 4 occupations, I noticed that none of them had data starting at the beginning (1990) so due to the differences in data available in time periods, certain occupations are difficult to compare. I do find that using a line chart is helpful because there is so much data and having the thin lines in different colors makes it easy to read