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This Shorthand story is the final, publicly accessible version of my data narrative:
https://preview.shorthand.com/DhJjJXdjBpeBzNAI
After completing Part II, I refined the narrative to make the final story clearer and more focused. Several elements from Part II were simplified or removed, including some early sketches, extra genre deep-dives, and the playlist challenge. These changes helped streamline the pacing and avoid visual overload in Shorthand.
One important change was adding a clear explanation of valence early in the story, since user feedback showed that people did not understand the term. I introduced it in simple language (“valence = how happy or sad a song sounds”) to ensure readers could follow the emotional analysis without confusion.
The final story now revolves around four core insights:
1) emotional narrowing over time,
2) the rise of emotionally neutral music,
3) cross-language differences, and
4) the happiness–music paradox.
This restructuring made the message more cohesive and easier for readers to follow. I also redesigned visuals to create a consistent aesthetic and rewrote several text sections to improve clarity and accessibility. The final version uses a simpler hierarchy: image → insight → explanation, which reads more smoothly than the more complex structure in Part II.
I built this story for people who are curious about how music reflects cultural identity — especially students of music, culture, media studies, and global behavioral trends. During informal conversations, I noticed that these audiences were the ones most surprised by cross-language emotional patterns and the idea that algorithms might be shaping global listening habits.
Because of this, I shaped the tone to emphasize clarity and interpretation rather than technical depth. Charts were redesigned to be digestible at a glance, and the narrative begins with a relatable human entry point before gradually introducing data. My goal was to make sure the story felt intuitive and meaningful to readers who appreciate the emotional and cultural side of music just as much as the analytical side.
I used a unified visual approach inspired by Spotify’s style — a combination of green highlights, clean typography, and dark backgrounds where appropriate. This created visual consistency and helped reinforce the theme of algorithmic influence.
I avoided cluttered or overly complex visuals. Instead, I chose layouts that prioritize clarity: clearly ordered bars, intuitive color meanings, and generous spacing around charts. Each visual was designed to stand alone but also connect smoothly with the narrative around it. In Shorthand, I used a rhythm of image → insight → explanation to keep the reader engaged. The pacing moves gradually from global trends to cultural differences and finishes with a philosophical contrast. Overall, the design direction focused on making data emotionally resonant and visually accessible.
All source references are included directly in the Shorthand story under the “Sources & References” section.
No additional references were used in this Part III write-up.
I used AI tools (ChatGPT) within course guidelines to support specific parts of the project — including refining narrative structure, debugging code, generating design alternatives, and improving readability. All analysis decisions, interpretations, and final edits were made by me.
GitHub Repository Link
https://abdulhad-eng.github.io/Visualizing-With-Hadi/
Notes on Linking Parts I and II
All components of the project (Part I, Part II, and Part III) are fully linked through the navigation bar at the top of each page.
This project pushed me to combine data, storytelling, design, and cultural insight in a single narrative. It required balancing analytical accuracy with emotional clarity, and I learned how important sequencing and pacing are when telling a data-driven story. If I had more time, I would explore lyrical sentiment and additional audio features such as tempo or key signature to deepen the cultural perspective. What I enjoyed most was discovering how differently languages express emotion through music — and how modern platforms shape those expressions in subtle ways.