Digital Identity
Alin Sung
start
Data Analysis
Clinck on different categories and check it out
Top
About me
Visual
NEW
Trend
Categories
Reflection
About me
My name is Alin Sung, and I am a pre-dental student at the University of Rochester. On campus, I have served as the publicity chair for both the University of Rochester Fencing Club and the Pre-Dental Club. In these roles, I gained experience in digital branding and web development by designing and managing club websites to enhance visibility and engagement.
I am also a clinical research assistant at the Eastman Institute of Oral Health, where I collect saliva samples from pediatric participants and process them for laboratory analysis. Outside of academics and research, I enjoy creative media production, particularly photography and video editing. Each year, I produce a compilation video for my high school friends that captures our shared memories through photos and footage from the year.
Much of my creative inspiration comes from my Pinterest boards, which serve as a visual resource for aesthetics and design concepts. I use these as references when planning photoshoots, developing product and visual designs, creating media content, and building websites. My collections reflect a variety of categories that well represent my digital identity. Therefore, this project uses my Pinterest board as a dataset to analyze my digital identity and aesthetic preferences. Through this analysis, I aim to better understand how visual inspiration shapes the way I design, curate, and present myself in digital spaces.
Visual Aesthetics
Click on each button for figure analysis
Figure I
Figure II
Figure III
This section of my Pinterest board that is to provide visual context to support the figures and their interpretations.
Categories
What the Visualization Reveales:
- The visual distribution clarified patterns beyond intuition, revealing a strong concentration in the idea category. Indicates a focus on conceptual reference over aesthetic enjoyment.
- The data challenged my assumptions about what inspires me most. Even though I believed I was drawn mainly to music or decor, the evidence shows I naturally gravitate toward collecting ideas.
Trend & visibility
The largest proportion of images falls within the 101–500 like range (30 images), followed closely by the 11–50 like range (29 images). Overall, The distribution suggests a right-skewed pattern in which most content receives moderate engagement, while highly viral images are rare.
The engagement distribution suggests that my visual selections tend to align with moderately popular content rather than highly viral images. This pattern may reflect a preference for curated or niche aesthetic trends that are socially validated but not widely saturated. However, because highly viral content is relatively rare overall, this pattern may also reflect the broader distribution of engagement on the platform rather than a strictly intentional selection preference.
Reflection
For this project, I chose to visualize my Pinterest board, where I save images that catch my interest. I wanted to better understand what I am drawn to in the digital world and explore patterns in my online behavior. To collect the data, I used Google Sheets, manually recording information by taking screenshots of my board and labeling each image. I made sure to reference the same image consistently while identifying its dominant color and assigning it to a category. I then used formulas in Google Sheets to automatically count how many images fell into each category or color group, which allowed me to analyze trends systematically.When it came to visualization, I used both simplistic and maximal approaches to highlight different aspects of the data. For examining color distribution and comparing quantities, I found that bar charts were most effective, as they clearly showed differences in frequency and allowed me to identify potential relationships between color preferences. To understand my interests at a higher level, I categorized each image and used a tree map chart to visualize the distribution across categories. This gave me a sense of proportion and made it easier to see which types of content dominate my saved inspirations. By combining these visualization methods, I could convey both detailed quantitative information and broader trends, supporting my message for an audience interested in understanding digital identity through visual habits. Through this project, I was able to further understand my digital identity. I already knew that I liked minimalistic styles and neutral colors, but I discovered that I actually save many more images related to creative ideas than vinyls or decorative items. I thought I am drawn to decorations such as a sofa pillow shaped like a food preservative package, a soap dispenser made from a Jack Daniel’s bottle, or jewelry made from watch parts. And I enjoy vinyls for their design, shapes, and packaging, the majority of my saved images reflect ideas I could recreate or incorporate into my own life. But it was a surprising discovery to see that I was drawn to photography photos that I can recreate. If I had more time, I would include additional layers of analysis, such as tracking how my preferences change over time compared to other boards in my account to see more patterns being reinforced or change in interest over time. Overall, this project allowed me to reflect on how my digital behavior aligns with my interests and creativity, providing insights I would not have recognized without systematic visualization.
My Previous Works
Here are some examples
Fencing club merchandise website: https://urfencingclub.wixsite.com/urfc
Pre-dental website: https://urpredental.wixsite.com/ur-pre-dental-club
Instagram page: @ur_fencing & @urpredental
Background Color
The background color was defined as the dominant color in the image. If there were multiple colors, the color that looked like the background in the context was selected. For example, the image on the top will be classified as red for background color.
Item Color
Iteam color was also defined as the dominant color of the object. If there were multiple colors, the color that's is used to catch the attention was selected as the color and if it's unable to be determined then it is labed as mix. For example, the image on the dottom will be classified as white for the iteam color.
Featured items showed greater color variation. Grey remained the most common featured item color, but mixed or multi-colored items were nearly as prevalent.
Overall, the data indicate a consistent pattern in which neutral backgrounds are paired with more visually varied or expressive focal elements.
Background colors were strongly dominated by neutral tones.
- Grey: 67 images (52.8%)
- Black: 20 images (15.7%)
Followed by my favorite color blue.
This analysis shows that the background color is largely neutral color that matches with my minimal aestheic preference. Therefore, one of the reason that I have saved these image may due to its neutral and minimal colors in the background that draw my attention.
Comparison of Background and Featured Item Color Distributions
This suggest subject of the image carries more color variation and visual emphasis. Moreovoer, it demonstrates an overall aesthetic pattern of minimal / neutral setting with visually distinct focal object. It also reflects my unconscious preference of aesthetic for visual contrast, where simple or muted environments highlight more expressive focal elements. The pattern reflects a minimalist design orientation that emphasizes clarity, hierarchy, and attention to the subject.
Digital Identity - Alin Sung
Alin Sung
Created on February 15, 2026
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Transcript
Digital Identity
Alin Sung
start
Data Analysis
Clinck on different categories and check it out
Top
About me
Visual
NEW
Trend
Categories
Reflection
About me
My name is Alin Sung, and I am a pre-dental student at the University of Rochester. On campus, I have served as the publicity chair for both the University of Rochester Fencing Club and the Pre-Dental Club. In these roles, I gained experience in digital branding and web development by designing and managing club websites to enhance visibility and engagement.
I am also a clinical research assistant at the Eastman Institute of Oral Health, where I collect saliva samples from pediatric participants and process them for laboratory analysis. Outside of academics and research, I enjoy creative media production, particularly photography and video editing. Each year, I produce a compilation video for my high school friends that captures our shared memories through photos and footage from the year.
Much of my creative inspiration comes from my Pinterest boards, which serve as a visual resource for aesthetics and design concepts. I use these as references when planning photoshoots, developing product and visual designs, creating media content, and building websites. My collections reflect a variety of categories that well represent my digital identity. Therefore, this project uses my Pinterest board as a dataset to analyze my digital identity and aesthetic preferences. Through this analysis, I aim to better understand how visual inspiration shapes the way I design, curate, and present myself in digital spaces.
Visual Aesthetics
Click on each button for figure analysis
Figure I
Figure II
Figure III
This section of my Pinterest board that is to provide visual context to support the figures and their interpretations.
Categories
What the Visualization Reveales:
Trend & visibility
The largest proportion of images falls within the 101–500 like range (30 images), followed closely by the 11–50 like range (29 images). Overall, The distribution suggests a right-skewed pattern in which most content receives moderate engagement, while highly viral images are rare.
The engagement distribution suggests that my visual selections tend to align with moderately popular content rather than highly viral images. This pattern may reflect a preference for curated or niche aesthetic trends that are socially validated but not widely saturated. However, because highly viral content is relatively rare overall, this pattern may also reflect the broader distribution of engagement on the platform rather than a strictly intentional selection preference.
Reflection
For this project, I chose to visualize my Pinterest board, where I save images that catch my interest. I wanted to better understand what I am drawn to in the digital world and explore patterns in my online behavior. To collect the data, I used Google Sheets, manually recording information by taking screenshots of my board and labeling each image. I made sure to reference the same image consistently while identifying its dominant color and assigning it to a category. I then used formulas in Google Sheets to automatically count how many images fell into each category or color group, which allowed me to analyze trends systematically.When it came to visualization, I used both simplistic and maximal approaches to highlight different aspects of the data. For examining color distribution and comparing quantities, I found that bar charts were most effective, as they clearly showed differences in frequency and allowed me to identify potential relationships between color preferences. To understand my interests at a higher level, I categorized each image and used a tree map chart to visualize the distribution across categories. This gave me a sense of proportion and made it easier to see which types of content dominate my saved inspirations. By combining these visualization methods, I could convey both detailed quantitative information and broader trends, supporting my message for an audience interested in understanding digital identity through visual habits. Through this project, I was able to further understand my digital identity. I already knew that I liked minimalistic styles and neutral colors, but I discovered that I actually save many more images related to creative ideas than vinyls or decorative items. I thought I am drawn to decorations such as a sofa pillow shaped like a food preservative package, a soap dispenser made from a Jack Daniel’s bottle, or jewelry made from watch parts. And I enjoy vinyls for their design, shapes, and packaging, the majority of my saved images reflect ideas I could recreate or incorporate into my own life. But it was a surprising discovery to see that I was drawn to photography photos that I can recreate. If I had more time, I would include additional layers of analysis, such as tracking how my preferences change over time compared to other boards in my account to see more patterns being reinforced or change in interest over time. Overall, this project allowed me to reflect on how my digital behavior aligns with my interests and creativity, providing insights I would not have recognized without systematic visualization.
My Previous Works
Here are some examples
Fencing club merchandise website: https://urfencingclub.wixsite.com/urfc
Pre-dental website: https://urpredental.wixsite.com/ur-pre-dental-club
Instagram page: @ur_fencing & @urpredental
Background Color
The background color was defined as the dominant color in the image. If there were multiple colors, the color that looked like the background in the context was selected. For example, the image on the top will be classified as red for background color.
Item Color
Iteam color was also defined as the dominant color of the object. If there were multiple colors, the color that's is used to catch the attention was selected as the color and if it's unable to be determined then it is labed as mix. For example, the image on the dottom will be classified as white for the iteam color.
Featured items showed greater color variation. Grey remained the most common featured item color, but mixed or multi-colored items were nearly as prevalent.
Overall, the data indicate a consistent pattern in which neutral backgrounds are paired with more visually varied or expressive focal elements.
Background colors were strongly dominated by neutral tones.
- Grey: 67 images (52.8%)
- Black: 20 images (15.7%)
Followed by my favorite color blue.- Blue: 4 images (11.0%)
This analysis shows that the background color is largely neutral color that matches with my minimal aestheic preference. Therefore, one of the reason that I have saved these image may due to its neutral and minimal colors in the background that draw my attention.Comparison of Background and Featured Item Color Distributions
This suggest subject of the image carries more color variation and visual emphasis. Moreovoer, it demonstrates an overall aesthetic pattern of minimal / neutral setting with visually distinct focal object. It also reflects my unconscious preference of aesthetic for visual contrast, where simple or muted environments highlight more expressive focal elements. The pattern reflects a minimalist design orientation that emphasizes clarity, hierarchy, and attention to the subject.