Project 1 and 2

For this assignment I decided to measure the frequency between the organization types and the end date of their time using the program. As you can see I've used a scatter plot to display the data. From analyzing it I can now say with certainty that private use of the programs had the most longevity-they ended decades after other groups had. This graph also tells me that most of the program use generally ends shortly after 2010-while a few private buyers are still around the vast majority of usage stops there.

I chose this analysis because I thought it was one of the more coherent ways to make sense of a large set of data and might be something someone would potentially want to know-what kind of organizations were using the programs for the longest. I also chose a scatter plot because I thought it would work best to illustrate general trends for a large set of data-while the result does have its drawbacks it's at least very clean looking and easy to read.

Assignment 12

This is a cleaned-up and improved version of the graph I did for Assignment 10. I liked Evergreen and Emery's strategies and thought they were well-reasoned and helpful. Their tips make graphs as easy to read as possible. I especially liked their points about color and especially the one about visualizations being accessible for people with color-blindness (I've known several people with that condition and think about them often when I see various designs).

Assignment 11

My animation was a graph building itself off of the results of a coin toss. I was inspired by a blog I found that talks about how to use R efficiently and had code on this kind of animation. I changed some of the numbers around and watched it form. The code was much more complicated than anything I had seen before. It was very rewarding to watch the sequence animate itself however, and to realize the hard work coders put into relatively simplistic designs like these. I see animated GIFS all over the internet so it's very interesting to know some of the coding that goes into making them.

Assignment 10

Unfortunately I couldn't get ggplot2 to install into R. I made another bar plot anyway, with made up data surrounding which presidential candidate students might want to vote for the democrat primary elections. I'm eager to look at my peers work to see what they came up with, and what ggplot2 can offer.