For some reason, I cannot get the embedded link to work. Here is a link to the website. If you cannot see it send me an email and I will happily get it to you somehow.
My Expiercne Building the Visualization: I had a good time building this visualization. I thought it was cool using flourish again. My major, data science, has a heavy dose of data visualization so it was cool to incorporate my prior knowledge for this project. Doing data visualization in flourish is a much different experience than in my major. We have to code a visualization (sounds more complicated than it is) in R or Python.
Deciding on a Topic:
When starting this visualization, I really did not know what I wanted to do. All I knew was that I wanted to use Census Data from 1840. After playing around in flourish I decided that I would visualize a male slave’s age based on the state where they were from. I thought this was a good topic because it would show the states that had the most slaves and the age distribution of slaves.
The choice of Visualization:
Originally I was going to use the standard line graph but it did not look as good as I hoped, then I switched the plot or a grid of charts, which looked better but not great. I was then scrolling through the types of charts and I clicked on column chart and thought it looked perfect for what I was trying to show. The final graph I decided on was a Column Chart (stacked0 with a grid of charts. The main issue with the line graph was that there would be a line even for a value of 0, and I did not like that, the column chart fixed that.
Reflection on Visualization
I thought the visualization that I created was pretty cool. The first thing that I noticed after the creation was that the state with the most slaves (by far) was South Carolina. This was surprising to me because I thought the state that had the most slaves would have been Georgia or Louisiana. The next thing that I notice, was that sadly, the ages increase to decrease based on age. Meaning that most slaves were aged under 10 to 23. The last thing that I noticed was that there were not very many slaves aged 55-90. I just assumed that it would be higher.