📺 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, or Regional 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])