Robert Dees LIS4273

 For this assignment I created a histogram in R using the built in mtcars dataset to show the distribution of miles per gallon (mpg). The visualization makes it easy to see that most cars fall between about 15 and 25 mpg, with only a few vehicles above 30 mpg. This fits with Few’s and Yau’s discussion on basic descriptive visualization because it focuses on clarity and simplicity rather than decoration. The chart communicates one clear message about the spread of the data and avoids unnecessary visual elements. Overall, it works well as a basic example of descriptive analysis in R.

 I used the provided dataset with Average Position and Time to apply both Ranking and Part to Whole design frameworks. I created an ordered bar chart to rank the Average Position values, which makes it easy to see differences and compare performance across time points. Then I used a donut chart to show how each time value contributes to the total. The ranking chart clearly shows order and comparison, while the Part to Whole chart shows overall distribution. One limitation of the donut chart is that smaller segments are harder to compare when there are many categories. Overall, the two frameworks highlight different insights from the same data. I preferred the bar chart because I thought it was easier to read.