Assignment 3

While Voyant and Jigsaw serve as excellent methods of visualizing large amounts of transcription, the two platforms are unable to organize large amounts of statistical data. For this, one may choose to utilize Google Fusion or Palladio to depict datasets with multiple variables.


The following dataset was collected from NASA’s Socioeconomic Data and Applications center. It depicts population exposure estimates in proximity to nuclear power plants and provides approximations of total, urban and rural population in proximity to these plants. This importance of this dataset is illustrated in the fact the nuclear plants serve as a source of sustainable energy, while also posing much harm to society and the environment such as a nuclear waste and spills, and the establishment of nuclear weapons.


Google Fusions constructed the visualization below. Though the visualization is static, I prefer it to Palladio’s version, as it is more aesthetically pleasing. In Johanna’s terms, this visualization would serve as a representation rather than knowledge generators. The dots on the countries symbolize a nuclear plant being present.


Screen Shot 2015-10-06 at 7.44.30 PM

According to the graph, aside from a single plant in South Africa, no other African nations are home to nuclear plants. As a result, they lack any legitimate sources of accessible and renewable energy. On the contrary, Westernized countries are home to many nuclear plants, illustrating their development and endeavor towards being more environmentally friendly. As evident below, developed countries seem to have the resources to sustain multiple reactors within their country.Screen Shot 2015-10-06 at 5.11.29 PM


Though I enjoyed the graphical visualization, one of my favorite features of Google Fusions was the table element. It very simply organized the information, and rather than having to meticulously search through the excel document, I could easily scroll or search to see the organized dataset I am curious about.


Screen Shot 2015-10-07 at 9.55.11 AM


The visualizations constructed below in Palladio illustrate the number of nuclear plants present in each continent. They serve as representations as well.



Screen Shot EUROPE


Europe & Africa:

Screen Shot AFIRCA


North America:

Screen Shot Noerh AMERICA


As a result of North America having a number of nuclear plants, a significant amount of people are estimated to be recipients of renewable energy, and exposed to potential harms of the nuclear plant. Below is a depiction of the number of people exposed to nuclear plants in correspondence with the visualization above.


Screen Shot 2015-10-07 at 12.09.55 AM


Though Google Fusions and Palladio are both extremely useful platforms of organizing statistical data, both serve merely as representations rather than knowledge generators. It is not the labels or numbers that are of great importance in the visualization, but the lines and connecting nodes. The lines and nodes can be argued to be knowledge generators as they create a sense of understanding of the visualization, and show the importance of utilizing both platforms. Overall, I still find illustrating data via Google Fusions and Palladio to be helpful as they are very simple, yet informative visualizations.


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