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 COLLECTION AND PROCESSING
| 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 |
I used webscraping to gather fragrance, advertising, and historical datasets, then cleaned and standardized the data to resolve inconsistencies. With ChatGPT Vision, I automated visual analysis of vintage perfume ads, and applied machine learning to classify and detect patterns. These tools formed an integrated pipeline for creating a clean, research-ready dataset.