Data Visualization Analysis

I recreated the two visuals provided for this assignment and improved upon them.  I incorporated a purple theme and improved the labels.  Using ggplot2 allowed me to have cleaner and more visually appealing graphs.  I used the hot dog data to create bar charts and the economics data to do a time series. Time series are good to visualize because you can identify patterns and trends over time, instead of having to analyze raw data .  Graphs allow you to easily see how the unemployment rate and duration change. Overall,  ggplot2 has great functionality for creating clear and effective visualizations.  This bar chart shows the number of hot dogs eaten each year. I used purple to highlight the record-breaking performances In this version, I used ggplot2 to improve the styling and make the visualization clearer and easier to understand.  The stacked bar chart displays multiple categories in one single graph, showing how these values combine over time, a...

For this assignment, I again used the reliable mtcars dataset in RStudio. This data set is one I have previously used and I am familiar with. It contains information about different car models, and their perormances and also contains information such as mpg, weight, horsepower, and number os cylinders. I chose this dataset as it is one packed with good information that can help us make a good visualization.  In this visulaization I explored the relationship between car weight, mpg, while also adding horsepower and number of cylinders. I chose the x-axis to represent the weight and the y-axis to represent mpg, to represent the cylinder amount of decide to go with different colors, and horsepower is represented by the size of the point. This visualization does a great job at helping us see trends and patterns like heavier cars tend to have lower fuel efficiency, and cars with more cylinders have higher horsepower. Multivariate visualization allowed me to show different relationships ...