The tale of three graphs: Why right “right” visualization matters? If you can not say the conclusions of a graph with in a minute after you see the graph, the purpose of visualization is lost.
Take a look at the graph: (Image via the Georgetown University Center on Education and the Workforce analysis of U.S. Census Bureau, American …). This compares median salaries of specialization major by experience. Use legends at the bottom of this graph.
Now see same information from, http://chronicle.com/article/Median-Earnings-by-Major-and/127604/ , though i have a screen shot below.
Now, consider the following.
As a third example, consider the third graph, which again bringing it here for quick lesson. But I encourage you to go to the above link to see yourselves, for another set of rich information that I am bringing out in the end.
I want you to compare “Alphabetical order” and “Median Salary” where ranking of the median salary level is the basis, basically ranking the subjects by median salary.
Among all the three which one passes 1 minute understanding of the story.
See the link in chronicle.com above to understand why I see there is deeper considerations for visualization and identify it. Key word is “context sensitive”, and “mouse over”.
Of course, so far, we talked about beauty of information. Now, information is deeper, and there are social justice, entrepreneurial interests, and market equilibrium issues, and so you can see the following, for politics of salary ranges, that goes beyond all the above interesting facts are given in http://www.bloomberg.com/news/articles/2011-05-24/engineering-undergrads-reap-top-salaries-among-college-majors
This tells the full story by going over the details.
Well geek in me is not satisfied and me wants to take a look at detailed data. Here it is. http://online.wsj.com/public/resources/documents/info-Salaries_for_Colleges_by_Type-sort.html
There could be time differences between this and the data that are depicted in the above graphs. But the idea is clear… that some people want to see more data, and long list of rows of data excites such people.