Dataset: Anime Dataset 2023 Filtered

About this Dataset

Anime Dataset 2023 Filtered

📊 Anime Dataset - Data Visualization and Distribution

📌 Overview

This dataset provides a comprehensive collection of anime-related information, including ratings, genres, producers, and audience engagement metrics. It is designed for data visualization, distribution analysis, and machine learning applications.

Whether you're exploring trends in anime popularity, analyzing viewership patterns, or applying statistical techniques, this dataset offers rich insights.

🔍 How This Dataset Can Be Used

📈 Anime Trends Analysis – Explore trends in popular genres, studios, and production years.

🎯 Viewer Engagement Insights – Identify completion rates vs. drop rates for various anime.

📊 Visualization & Statistical Analysis – Apply histograms, boxplots, and regression models.

🤖 Machine Learning Applications – Build models to predict popularity based on ratings, studios, and type.

Tables

Anime Dataset 2023 Filtered

@kaggle.gowrinair02_anime_dataset_2023_filtered.anime_dataset_2023_filtered

5.2 MB
14952 rows
25 columns


CREATE TABLE anime_dataset_2023_filtered (
  "anime_id" BIGINT,
  "name" VARCHAR,
  "score" DOUBLE,
  "genres" VARCHAR,
  "english_name" VARCHAR,
  "japanese_name" VARCHAR,
  "sypnopsis" VARCHAR,
  "type" VARCHAR,
  "episodes" VARCHAR,
  "aired" VARCHAR,
  "premiered" VARCHAR,
  "producers" VARCHAR,
  "licensors" VARCHAR,
  "studios" VARCHAR,
  "source" VARCHAR,
  "duration" VARCHAR,
  "rating" VARCHAR,
  "ranked" DOUBLE,
  "popularity" BIGINT,
  "members" BIGINT,
  "favorites" BIGINT,
  "watching" BIGINT,
  "completed" BIGINT,
  "on_hold" BIGINT,
  "dropped" BIGINT
);