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| "The Changing Nature of Middle-Class Jobs annotated" |
As one piece this graph does a poor job of explaining the data that it references. This chart gives a rough idea of how job trends have changed for certain fields over time. The graph has two different colors that signify male and female.
This graphic does not correctly show data at first glance. It's hard to make out the scale that the system is using. Also, it's not clear on the bottom of the +/- on the data. I find that the graph's scale could be more scaled. This is pointed out where its a major gap in the data, and one goes higher than the other. I also find it hard to ask a simple question, such as "What major changes were observed from 1980 till 2012".
Below are some things that could make this graph be more clear:
- In annotation "A", it shows the number of job changes as a single number, while the scale goes by 1000, so for example 20 means 20,000. Also since each section has multiple lines, it's unclear now which profession has got an increase in jobs.
- Annotation "B" shows both a -/+ under the job info, I find this confusing as the graph goes up and down in each category. I wish they had used a more clear indication that the graph was going up or down in that section.
- Lastly, annotation "C" uses a scale to indicate "red" being female(s) and "blue" is for male(s). The part in the middle of the legend is not clear if it is showing the split between female and male. I wish that this was more clear, so if someone was looking at this graph, they would find it hard to figure.

Hi Sunny,
ReplyDeleteWow, that visualization is really something.
I think you had a good overall analysis of the visualization, and the points for your annotations made sense.
One improvement could be to try to have more visible annotations on the visualization. With all the noise in your chosen visualization, your annotations seem to blend in at first glance.
Hi Sunny,
ReplyDeleteI think you picked an interesting data visualization, and I liked your analysis of it. You touched on the benefit of the interactive nature, as well as the visually pleasing nature of this visualization while discussing its problems with the scale and the gap in the data. The only thing I can suggest is that it would have been nice to have a zoomed-in screenshot on the parts of the image you annotated as they are hard to make out.
Hi Sunny! I agree with you that it's pretty hard to wrap your head around the split between male and female workers and the colours, that's a great point. You clearly have a lot to say about this visualization and I would have loved to see more, maybe more images so you could have pointed out each of your focuses on a new image. Since the visualization is interactive as you pointed out I'm a little more open to not fully understanding the data at first glance, but I think you did a great job of pointing out why and how they could improve it to make it more readable.
ReplyDeleteHi Sunny,
ReplyDeleteI agree that the data visualization does need to be structured better in order to understand what information is being discussed. I also liked that you pointed out the colors in men and women, the middle color is not clear and it's hard to understand. Overall, I think you did a great job at explaining the pros and cons of the data visualization. One thing I would suggest is hyperlinking the visualization in order for us to take a look as well.
Hi Sunny,
ReplyDeleteThis is definitely an interesting data visualization to analyze. It was a litle overwhelming at first glance, but a lot of your points helped to clear things up. I'm glad you mentioned the interactive nature of the visualization, as I wouldn't have known, but it would be nice to have the original one hyperlinked somewhere so I could interact with it on my own. Overall, good job!