I thought this visualization was so cool with the tabs at the top. I additionally thought it was very thoughtful of you in their organization, from state population to amount of COVID19 tests administered per state to those tests per 1000 people.
I thought your ordering of those tabs provided a great example of the powers of aggregation and de-aggregation that we’ve been discussing. I think this applies in the sense of not only viewing total numbers but then per 1000 so that we can “compare” states, but also de-aggregating positive and negative COVID tests from the total administered in the population.
I think that one way this graph could be interpreted is not in the sense of “rising” COVID cases indicating increased testing, but looking at the testing availability that we now have; I remember at the beginning of the pandemic there was great worry over the accessibility of testing and who would be allowed to be tested. On the other hand, like we talked about with the pixelated person, pixelations of states into statistics “per 1000” are more of value because of their ability for comparison. The animated aspect of your viz demonstrates this; as the viewer cycles through the tabs, they watch states flip from the right side of the chart to the left. This change is enabled by our ability to now “compare.”
Hi Anna,
I thought this visualization was so cool with the tabs at the top. I additionally thought it was very thoughtful of you in their organization, from state population to amount of COVID19 tests administered per state to those tests per 1000 people.
I thought your ordering of those tabs provided a great example of the powers of aggregation and de-aggregation that we’ve been discussing. I think this applies in the sense of not only viewing total numbers but then per 1000 so that we can “compare” states, but also de-aggregating positive and negative COVID tests from the total administered in the population.
I think that one way this graph could be interpreted is not in the sense of “rising” COVID cases indicating increased testing, but looking at the testing availability that we now have; I remember at the beginning of the pandemic there was great worry over the accessibility of testing and who would be allowed to be tested. On the other hand, like we talked about with the pixelated person, pixelations of states into statistics “per 1000” are more of value because of their ability for comparison. The animated aspect of your viz demonstrates this; as the viewer cycles through the tabs, they watch states flip from the right side of the chart to the left. This change is enabled by our ability to now “compare.”