Hi, I’m Annie! →
I’m a narrative-driven designer specialized in data visualization and branding.
I turn complex information into stories that are clear, engaging, and visually bold.
Hi, I’m Annie! →
I’m a narrative-driven designer specialized in data visualization and branding.
I turn complex information into stories that are clear, engaging, and visually bold.
Data was collected through web scraping and cleaned for consistency across fragrance, advertising, and historical sources. Machine learning and computer vision, including ChatGPT Vision, were used to explore patterns in vintage perfume advertising and prepare a research-ready dataset.
| Data | Description | Access |
|---|---|---|
| Fragrantica Dataset | Over 24,000 entries with notes, ratings, accords, perfumers, etc. | Link |
| Parfumo Year of Release | Counts of discontinued/current perfumes; “popular fragrance of the era”. | Link |
| Fragrantica Notes | Scraped notes + images for mapping. | Link |
| Ad*Access (Duke) | 7,000+ US/Canada print ads (1911–1955), beauty & hygiene. | Link |
| All Ads | A collection of vintage archives and recent social media posts. | Link |
| Advertising Archives UK | The advertisements are arranged by decade and can be searched by product. Many American advertisements are included. | Link |
| GPT Vision | Automate visual analysis of vintage perfume ads using ChatGPT Vision - test.py file in github | Link |
| Key Gender Milestones | Compiled list of key gender milestones from 1900 to 2025 by aggregating information from multiple web sources, including historical archives, academic databases, and cultural timelines. | Link |