Data Visualization Analysis - Alexis Nguyen

 baser ggplot2 This is a bar chart: each bar shows how many hot dogs were eaten that year, and the color indicates whether a new record was set. The chart is simple and easy to read, as you can tell from the colored bars that, as years have gone by, a new record is being set. The headline is accurate, as it tells viewers what the chart is about. No, the visualization does not lie; it is consistent and shows how many hot dogs were eaten that year. There are no distractions on the graph, it's clean and uses a single bold color to indicate when records are being set. I like this graph because it's simple and easy to read. This style is a time-series line chart that shows the unemployment rate over time in the US. The graph looks clean, and it is easier to understand and read. There is no headline, but the chart is about unemployment over time. The line shows patterns and cycles in the unemployment rate. The visualization is accurate. The data uses a color scale to show the unempl...

  I used the Iris, which has many flowers and includes details on sepal length and width, as well as petal length and width. I used this dataset because it measures different flower types, such as setosa, versicolor, and virginica.  My visualization measures sepal length and compares it across the three species of iris flowers. The boxplot shows that setosa has the smallest sepal length, virginica has the largest, and versicolor is in between. This visualization helps tell the differences and similarities.  Yes, the boxplot is a multivariate visualization because it compares sepal length across three species. Making it easy to compare them side by side.  In my boxplot, I used alignment by keeping everything easy to read and compare. I also used contrast by using a gray background with red boxes so the boxplots would stand out, and I used balance by spacing the boxplots evenly so the chart looks neat and easier to read and understand. 

  I used the mtcars set to make a bar chart to showcase how many cars have either 4, 6, or 8 cylinders. A bar plot helps compare groups clearly, so I decided to use it to compare how many cylinders cars have. The chart shows that most cars have 8 cylinders, while fewer have 4. Matching Few's recommendations, I took in note to make the visuals colorful and easy to understand and not too crowded. I also added the title and labels to let readers know what they are looking at, so they do not have to assume which cylinder is which. I agree with Few's recommendations because if I were to read a visual distribution, I would like to know what I am looking at, rather than having little to nothing that explains what it is about, and so much information that I cannot comprehend what is going on.

  What I noticed is that the dark blue boxes show a strong negative correlation, and the very light blue boxes show a strong positive correlation. I noticed that mpg has a strong negative relationship with weight, horsepower, and cylinders, which is shown by the darker shaded boxes. I also saw a strong positive relationship between displacement, horsepower, and cylinders, showing that bigger engines usually have more power. The grid layout made it easy to compare all the variables at once. Each square showed a different relationship, and the colors made it simple to see which ones were strong or weak. It helped me notice patterns faster without the chart looking messy or hard to read. Few’s recommendations helped because they made me understand that keeping the visual clean and simple with clear labels and colors makes it less chaotic and easier to understand.

  I made a pie chart that shows how many people own different pets. It shows that dogs take up most of the pie, followed by cats, while fish, bird, and hamster have the smallest amount. The chart is colorful and simple, making it easy to see and understand the portions. The hardest part was making the labels and creating it as it is my first time using a pie chart. My chart aligns with what Few and Yau discuss because it is clear and not too cluttered with details. I made a bar chart that shows how many people own different pets. It shows that dogs and cats have higher averages, while fish, birds, and hamsters have lower averages . The chart is simple and clear, which makes it easy to compare. The hardest part was figuring out how to add the red line for the average. My chart does match what Few and Yau mention, as it is easy and simple to read.