Data Visualization
Data Visualization demonstrates awareness of community and cultural patterns in communication with Autism and how the data is presented to those with preconceived notions of Autism. I learned skills in the understanding of legal and ethical uses of information and technology by applying several layers of research and data on the beliefs about Autism. I was also able to adapt to new technology in the use of niche data visualization tools and techniques.
Tableu: A first time for everything.
The first time I took a data-centric class, I cried.
I cried because it was something extremely outside my realm and I was unsure how to function. However, as time passed by in my Data Visualization Tools and Techniques class, I learned the importance of normalizing data and why something so nuanced is necessary.
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I also learned how beneficial it is to exist outside my realm of knowledge and explore media that are not familiar to me.
Previously, I had no experience with Tableau for data visualization and solemnly relied on data being given to me and processing it through Adobe InDesign. In my introduction to Tableau, I decided to normalize the data for Autism rates around the world and how they compare to the United States. From there, I broke it down into how it goes by state and found that, with normalization, it varied, but most of the states had similar rates.
I created my Data Visualization chat to be interactive and informative on some of the misconceptions of Autism and possible theories scientists have on mental disorders. I chose a blue color theme because psychologically, the color blue is very closely associated with the medical field. By using the color blue, I feel like a topic as understudied as Autism would be seen as scientific data rather than just presenting facts to the average person.