We presented our final presentation last night! We want to thanks the following people for making this project possible:
- Wine World & Spirits
- A special thanks to Ella Nakamura, a Wine Expert at Wine World.
- John Boyer, Senior Instructor, Department of Geography, Virginia Tech
- Cecelia Aragon, Associate Professor, Human Centered Design and Engineering, University of Washington
- Taylor Scott, Teacher Assistant, Human Centered Design and Engineering, University of Washington
Our visualization can be viewed at this link. Please be aware that at this time we only have 400 wines available, which is nowhere close to the 9,700 wines that are made in the state of Washington. We would love to expand this research further and a complete dataset so we can see the full potential of this visualization.
Features of our Visualization
The initial dashboard looks like this when the user first opens the wine visualization. There are numerous features available and fit on one page. As users begin using the filters, they discover that the interactive visualization changes to show content that might interest them.
On the upper right, there is a set of icons that shows flavors to explore of wines. If the user is unfamiliar with a flavor category, they can hover over the icon (figure 3) and view a tooltip that provides information. Users select one or more flavors to filter the visualization.
There is a drop down for detailed fruit flavors (figure 4) and a search bar (figure 5) on the upper left side of the visualization. These are other opportunities for users for filtering through the available data.
The first view is a bar graph named, “Number of wines by varietal.” The bar graph displays the total number of wines by wine varietal (figure 7). The bar graph changes when users select a specific flavor(s) and shows how many wine varietals are within that flavor category.
All three views have a question mark icon next to the title. If the user is confused by a certain view, they can hover over the question icon to get information about what the view is intended to display.
The next view is a scatterplot that compares wine bottle price to a rating. Users can filter by star rating or price by using the dropdown or price slider in the upper right corner of the view. When a user hovers over a specific point in this view, a tooltip appears (figure 10) showing information about that specific wine.
The third and final view is a map of Washington. It shows the location of the wineries. Users can hover over a point (figure 12) to see the name and address of a particular winery.
The following is an example of how a user could potentially find a bottle of wine by user the interactive visualization. The first step of exploration involves selecting a flavor. The user in this example selects “floral.” The entire visualization changes when the floral filter icon in selected (figure 13).
The user decides to look at the first view. She is interested in Riesling and decides to select it. This changes the second view by only displaying floral Rieslings (figure 15).
After looking at the different options available, the user selects a point. The lower right side of the visualization updates to show the wine label and information about that particular wine. The third view (figure 17) also updates and displays the exact location of where this wine comes from.
There is no exact way to use our visualization. Many of our test users demonstrated different ways to find a wine they were interested in. Our tool offers a great exploratory approach to learning about wine and finding wine you might like.
Thanks for following and have a great holiday season!