Data Visualization Analysis - Alexis Nguyen

  1.)  I decided on a bar chart to show its ranking. As you can see it going from least to greatest. This makes it easier to look at first glance. For example, looking at 20, I see it has the largest time. Ranking      makes it easy to compare in this case average position and time. 2.) I chose a pie chart to show a part-to-whole relationship. The slices represent the numbers and how much the make up making it easier for viewers to see which part had the most. This design shows similarities and differences in size.  3.) Part to whole shows each piece and the differences while creating a whole which can make it easier to see. But if there were too many pieces, it can be difficult to compare. Ranking with bar char is great because you can see the least to greatest or vice versa, but it doesn't show how each part adds up to a whole part to a whole does.

  1.) I chose these six variables because I wanted to capture the amount of people using transit (ridership) and the level of service being provided (vehicle revenue miles and hours). I also included the collisions (with motor vehicles and with persons) since people using these services can be involved in accidents. And because this is a time series, I needed to include year to see how things change over time. 2.) What I noticed from the time series is hat after 2018, it kept on declining. Ridership declined so it makes sense that there would be less services and collisions because of this.

  1.) This is actually my first time using Illustrator. I know it is not the best, but it gives readers more insight into what they are looking at rather than a map with colors. I included a radiant bar to explain to the viewer what it means so they are not confused. 2.) I added a paw print so it can correlate to the graph and reinforce the pet-friendly theme. It's decorative but connects to the subject. I added color blocks for a visual key, as well as text titles and labels, so it is clear to the reader what it is about. 3.) How Gestalt principles guided me was first contrast. I definitely wanted the background to be lighter than what I am trying to point out, hence the red title with shadows, as well as hierarchy, since the title is so big it is noticed first. 

  I used the Florida Disaster dataset on Pet-Friendly Shelters, and here is access to the dataset. https://usfedu-my.sharepoint.com/:x:/g/personal/alexisnguyen_usf_edu/ERn45dKXkSRLpTL16np3yNwBBMEczJfCNMhRs33tYIbQSg?e=fbDcdx 1. Challenges I faced were figuring out if I wanted to cover cities or counties. I decided on counties, so it will be easier for users to view, as using cities would make it more complicated. I also had trouble creating the map, as its my first time using Tableau.  2.) Yes, point size or color scale helps because it guides users. The darker shaded regions show areas that have more shelters, while the lighter ones show fewer. This makes it easy to quickly see which counties in Florida have the most shelters. 3.) Yes, adding tooltips and text labels will help viewers because they can hover over the county and see the exact name. This makes the map easier to read. 4.) Proximity and similar group patterns are helpful because the color scale shows how areas are ...