LIS 4930 - Visual Analytics

    This week we learned of Edward Tufte and followed his instructions on how to create a dot-dash plot. I chose to create one in ggplot2 and it turned out pretty well. Once I installed all the packages and ran them in the background, I was able to plug in the code and run it smoothly. Below is an image depicting the code, the packages running in the background, and the final design.

   This week we worked with coding in R to create a time series graph. We were given multiple examples and we could either replicate the examples or create our own. Since I am still getting used to how R works, I just decided to copy the code from the very first example.  Here is the code for reference:  >hotdogs <- read_csv("http://datasets.flowingdata.com/hot-dog-contest-winners.csv") >head(hotdogs) >(library("ggplot2")) >colors <- ifelse(hotdogs$New.record == 1, "darkred", "grey") barplot(hotdogs$Dogs.eaten, names.arg = hotdogs$Year, col=colors, border=NA, main = "Nathan's Hot Dog Eating Contest Results, 1980-2010",  xlab="Year", ylab="Hot dogs and buns (HDBs) eaten")     The reason I chose this example was because I feel it represented what a time series graph is supposed to be very well. The red represents a year when a new record was put into place and it shows the progression of t...

    The data I chose to represent was whether or not there was a correlation between the height of men and their self esteem. The height was measured in inches and the self esteem was based on an average of 10 on a 1-to-5 grading scale determined by the person being interviewed. Following Fews' advice on creating the graph, I determined to follow the principle of making the graph have distinguished colors to give it more of a visual appeal.     As you can see, from this specific survey of 20 males, there seems to be a correlation between the height of a man and his self esteem. As the height of a male increases, so does the rating of self esteem. Now this may not be the case if a larger survey was taken, but this is just a visual representation of the data at hand.