There were many kinds of visualizations I was able to generate with my pivot chart, but not all were equal. Some were weird because they were composed of things that did not make sense to compare, like average ages against real estate value, but the way that the data was presented also had an impact on the way I received it. For example, the Y axis does not start at 0, which made it confusing to understand for example the max value of real estate vs personal estate. Visually, it looked like a starker difference than when I set the minimum Y axis value to 0. One thing I found interesting was how for each visualization of males vs females by a given age group, there were always noticeably more males than females. I liked how I could visually see how this difference grew and changed between age groups.
