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Creating my first chart with Tableau

For my data visualization class, we have been interacting and analyzing different methods to make creative visualizations with data sets; drawing, reorganizing data, using sticky notes, crayons, and other materials. Until recently, we started to move to digital methods; hence, we are learning to build charts with Tableau. The data set I am currently working on for my first chart is about community greenhouse gas emissions. But this data set does not have much detailed information; there are no geographical locations, for instance, to picture a more concrete idea for people of the geographical range these emissions have. However, other essential data helped me to arrange the dimensions; the yearly reports from 2005 to 2017, sectors and sources to measure the sum of GHM emissions, and the count of community greenhouse gas. The first try to arrange and organize all the data was a collaboration with my classmate Petra who guided me through the basics of dimension and measure. Yet, we came out with a line-discrete chart that was well distributed and visually appealing for readers.


Despite the visual harmony, I was still curious about how I could organize the data set. So I set the data similarly to the line-discrete chart with the only difference of omitting the protocol axis next to the sum of GHM emissions and the count of community greenhouse gas. Then, a scatter plot came out:

Both charts are attractive; however, the scatter plot does not work as well as the line-discrete chart. The visual organization of the scatter plot would work out if we could make it an interactive graph for a digital platform, for example, where people can scroll aside and click for extra information. Yet, the line-discrete chart would be much better for a steady format visual medium because the audience can access all the data within the image and chart distribution.

For all intents and purposes, I wonder if there would be any other practical form to adapt the scatter plot to a rehashed data arrangement? For example, would a geo-dimensional map be more helpful for people to outline this type of environmental information? Or, can we accommodate this comprehensive and undetailed information to tell a story?


 

Previously posted in Medium by Sara Valentina Alvarez Echavarria:



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