In these visualizations, I wanted to explore the relationship between race, gender, and birthplace and life in Albany.
The first visualization is a tree map that looks at occupation as it relates to non-white census data. I thought it was a valuable way of looking at it because you can easily distinguish the proportion of individuals working in specific fields during certain years.
The second visualization explores female occupations in Albany from 1850 to 1940.
The final visualization shows the relationship between gender, age, and birthplace in Albany during the duration of the census dataset.
You can see the remaining Tableau tasks here.
So far, this has been the most rewarding and enjoyable content of the semester. I really enjoyed being able to manipulate data on the spot, and to see how different choices made with filtering affect the way data can be seen. I think there’s a lot of opportunity using Tableau in relation to historic foodways because it is so visual–because it is creating what could almost be considered an infographic, it is widely accessible to broad audiences.