CST 383 Week 3
Reflection This was our third week in CST383 - Data Science. This week we learned about visualizating data and graphs using pandas , matplotlib , and scpipy . We focused on definitions of various types of graphs, functions to create them, and various parameters we can use to alter them. Like with the array functions and operations from week one, I was surprised at how robust these libraries are, and also by how easy their basic uses are to learn. In very little time, I was able to start making nice looking graphs, and with more research I could quickly make professinal quality ones. In previous weeks, I found half of the material to be relatively straightforward (namely 1D arrays and Series), and the rest of it to be more difficult (2D arrays and Data Frames). This week felt a little different, with all of the different types of graphs and parameters feeling about as advanced an complicated as each other. If one thing felt more difficult, it would be using the plt.subplot...