~/ data_stories

Explorations, analysis and tales burried within the datas.

Cover: # AOL Leak : Deep-diving into hundreds of thousands of users' personal search histories

# AOL Leak : Deep-diving into hundreds of thousands of users' personal search histories

> published: 2026-04-12
> read_time: 20 minutes

In 2006, the internet witnessed one of its first great data scandals. It wasn't a hack, but a colossal corporate mistake: AOL publicly released a "research dataset" exposing the private search histories of roughly 660,000 users. While our first instinct as data analysts is to aggregate this information to find broad trends, I will show you why that approach misses the point entirely. The real truth of this leak lies in the raw, sometimes heavy stories buried within individual logs.

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Cover: Google Maps ranking factors: An exploratory statistical analysis

Google Maps ranking factors: An exploratory statistical analysis

> published: 2024-06-15
> read_time: 30 minutes

What forces might be shaping the Google Maps algorithm? Moving beyond simple intuition, this exploratory statistical analysis looks for verifiable trends in Google Business Profile rankings. By analyzing over 30,000 local results, this study attempts to separate solid leads from statistical noise regarding the weight of reviews and keywords, while highlighting a surprising, largely undocumented phenomenon: position rotation. A first step into exploring the chaotic mechanics of local SEO.

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