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<\/p>\nFor this week’s blog post, I decided to use our project data and create a visualization that would help understand our assigned data better. For our final project, we have been assigned the Marvel and DC database of superheroes. However, for this visualization I only used the DC database. I created an alluvial diagram on RAM to show the correlation between the genders of superheroes and their eye color.<\/p>\n
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We notice how the distribution of eye color between both genders is pretty similar. The affinity for blue eyes is high in both male and female characters. We also notice many varied colors that we would normally not think of eye colors, such as violet, amber and pink. This visualization is also interactive, that is, if you hover over any of the relations it tells you exactly how many heroes in that gender have that specific eye color.\u00a0Additionally we notice the sheer difference in the number of male characters as compared to female or genderless or transgender characters.<\/p>\n
Creating this simple visualization really helped me look at my data in a different way. It even helped me realize that there were discrepancies in my data, and gave me direction to clean and filter it. For example, I noticed there is a segment of auburn hair in the eye color column, which means some data must have been entered in the wrong column by error. Although, the purpose of this visualization was not to find discrepancies in your data, rather to provide further insight. I think it really helped me understand my data better as a person with no prior knowledge handling data or any visualizations, especially in such large quantities.<\/p>\n
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