If you haven't seen the tool, it is a graph which allows you to plot five variables (one of which is "time") and then set the graph in motion. It can give you a very powerful look at the interaction between different factors. Gapminder does provide a desktop format you can use to view some of their selected visualizations.
You will need to organize your data in a specific way. First of all, you must include some sort of time period. This means that your main category, such as the name of a school district, will appear multiple times. The time period does not have to be a year---it can be any length of time you specify. In this example, however, testing is done annually. Next, you need at least three additional columns of data. The motion graph will plot up to four. The graphic at the right does not show all of the points I included, but here's a list:
- Number Tested: Number of Grade 5 students tested for that year
- % Met Standard: Percent of Grade 5 students who "passed" the test
- % Level 1, % Level 2, % Level 3, % Level 4: Percent of students who scored in each of the four evaluation categories (Below Basic, Basic, Proficient, Advanced). Levels 3 and 4 should equal the percent who met the standard
- Enrollment: Total number of students in the district
- % Non-white, % White
- % Male, % Female
- % SPED: Percent of students (district-wide) receiving special education services
- % F/R Lunch: Percent of students receiving free or reduced lunch; used as a measure of poverty
- % Teachers Post-bac: Percent of teachers (district-wide) with a masters degree (or higher)
You can choose to place the chart on the same page as the spreadsheet or on its own page. Now, you're ready to rock and roll. Here is one configuration:
All of the circles you see represent school districts in Washington state. Not every district is shown. Some districts have such a small enrollment that it violates privacy laws to publicly report their data. But most districts---ones with a consistent enrollment of ~150 students---are plotted. On the x-axis, we have the variable for meeting the standard on the Grade 5 science test. On the y-axis, we see the % of students in each district qualifying for free or reduced price meals. Already, we don't see a lot of surprises. The "richer" the population, the better they perform on the test. The colour of the circle relates to the percent of non-white students. Here again, not too many surprises: districts with a fewer minority students do better. The size of the circle relates to enrollment. In the sample above, I've hovered over Seattle, the largest district in the state. Note that the figures associated with each variable also appear: 32.8% met the standard; 41% F/R Lunch; 59% non-white; 47,546 students enrolled.
When I press the play button, I can watch the graph change over time. What do things look like in 2011?
First of all, we're a little more spread out in terms of scores, but most districts are performing better. Seattle is about the same size with the same % F/R Lunch, but has increased its percent of non-white students. In fact, you could make that same comment about ethnicity changes for most of the state.
Motion graphs can be very interesting tools, especially for data sets that need a big picture. This isn't to say that it wouldn't be intriguing to plot student grades in one, but some of the organization required means it's not an everyday tool.
But hey, why don't you play with one for yourself? Use this link to go directly to the Google Spreadsheet with this motion graph (then make a copy to your own account, if you'd like to edit it). Or, use the embedded version below (not available via RSS).