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📺 Anime Watchers Dataset (1960–2025)
📦 Dataset Size: 10,000 Records
📄 Format: CSV
📜 License: CC-BY-4.0
📖 Overview
This dataset contains 10,000 synthetic profiles of anime watchers, spanning from the Classic Era (1960s–1989) to the Modern Era (2010–2025).
It is designed for:
- Data Analysis
- Machine Learning
- Recommendation Systems
- Trend Prediction in anime consumption.
📂 Features
Each record represents an individual anime watcher with detailed attributes:
- Demographics:
Age,Gender,Country,Year of Birth - Anime Preferences:
Favorite Genre,Most Watched Title,Top 3 Anime List - Viewing Habits:
Start Year Watching,Average Weekly Watch Hours,Anime Era Preference - Platforms & Devices:
Primary Platform (TV, Netflix, Crunchyroll, etc.),Device Used - Engagement:
Manga Reading,Online Community Participation,Merchandise Spending - Language Preference:
Subbed,Dubbed, orRegional Languages
📊 Generational Patterns
- Classic Era Fans (1960–1989): Prefer Mecha, watched via TV/VHS, low online activity
- Golden Era Fans (1990–2009): Popular titles like Dragon Ball Z, Naruto, Evangelion
- Modern Era Fans (2010–2025): Stream via Crunchyroll/Netflix, binge-watch, active in online communities
✅ Example Usage in Python
from datasets import load_dataset
# Load the dataset
dataset = load_dataset("Mikey-TraceGod/Anime-Viewers-Data")
# Access first example
print(dataset['train'][0])
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