A look through my updated visualizations
Network
https://public.tableau.com/app/profile/michaela.jackson/viz/SocialNetworks_17151396180080/Dashboard1
Please click the link to see the accurate version of this visualization! For this visualization, I analyzed user migration patterns between different social media platforms and identified which platforms share the largest segments of their user bases. The network diagram at the center of the visualization specifically examines how users utilize multiple social media platforms within certain predefined categories. The analysis aims to uncover patterns in how different social media platforms are used together, providing insights into the interconnected nature of online social behavior.
This investigation provided valuable insights into the sample size of participants who responded to my poll. Notably, platforms like Facebook, Instagram, and Twitter demonstrated significant audience overlap, suggesting that users often engage with these networks concurrently. This overlap indicates a strong complementarity in the content and functionality of these platforms, which primarily cater to sharing pictures and status updates.
Following user feedback on the network graph, I enhanced the legend by adding descriptions that clarify the meanings of the line colors and thicknesses (not depicted above, please view on Tableau). This update helps users more easily understand the relationships and data represented in the graph. In the version I created on Gephi, users could hover to filter each node’s edges. However, this did not transfer well in the screenshot I took for Tableau. Ideally, there would be a way to have my interactive elements transfer to Tableau.
I also created an interactive radial network graph on Flourish to explore different visualization possibilities. I decided to try this approach after recognizing the benefits of incorporating brand logos alongside their names. In this graph, social media platforms are grouped into categories, which are indicated by the color of their names. This color coding helps distinguish the groups visually.
Map and Stats
I created an interactive scrollytelling experience in Tableau to explore the Great American Coffee Taste Test, orchestrated by prominent YouTuber James Hoffman. This event involved thousands of participants who blindly sampled four types of coffee, yielding a rich dataset with anonymized responses from over 4,000 individuals. This dataset includes demographic details, coffee preferences, and behaviors.
While previous analyses predominantly focused on the majority male participants, my project specifically aims to highlight the often-overlooked perspectives of women and nonbinary individuals. Through detailed analysis, we delve into their unique coffee preferences, spending habits, and lifestyles, uncovering valuable insights that were previously underrepresented.
The interactive experience allows users to dynamically filter the data by categories of their choice, facilitating a personalized exploration of the participants’ traits. At the conclusion of the narrative, I present three personas, each constructed from the data to represent distinct patterns and trends identified during the analysis.
I plan to continue my work on the projects above during the summer.