Baselight

BTS Youtube Channel Dataset (+ Thumnails Img)

classification problem

@kaggle.kukuroo3_bts_youtube_channel_dataset_thumnails_img

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About this Dataset

BTS Youtube Channel Dataset (+ Thumnails Img)

Context

BTS (a seven-member South Korean boy band debuted in 2013-06-13) started YOUTUBE channel at 2012-12-17.
Until 2021-09-21 , They published 1,368 YOUTUBE videos on the channel. Using YOUTUBE API, scrap video's data.

Content

The tabular data contains 16 columns

  • kind : video kind ( youtube api parameter)
  • etag : video etag ( youtube api parameter)
  • items : video items (api return values)
  • pageInfo :video pageInfo ( youtube api parameter)
  • pub : video publish Time ( utc + 9:00 Asis/Seoul)
  • id : video id (orgin_url : https://www.youtube.com/watch?v={id})
  • title : video title.
  • description : video description.
  • thumbnails : thumbnais url
  • tags : video tags
  • duration: video duration time
  • viewCount : viewcount of video (at 2021-09-21)
  • likeCount : likeCount of video (at 2021-09-21)
  • dislikeCount : dislikeCount of video (at 2021-09-21)
  • commentCount : commentCount of video (at 2021-09-21)
  • image_path : thumbnails image_path
  • category : BB : bangtan bomb , CG : choreography , RV : review , EP : episode, vlog : daily vlog , FESTA :FESTA , NA : else

Additional information

category column is createed by my standards.

Data Source

rawa data from channel by YOUTUBE AP

Tables

Bts Data Yt

@kaggle.kukuroo3_bts_youtube_channel_dataset_thumnails_img.bts_data_yt
  • 620.12 KB
  • 1368 rows
  • 17 columns
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CREATE TABLE bts_data_yt (
  "kind" VARCHAR,
  "etag" VARCHAR,
  "items" VARCHAR,
  "pageinfo" VARCHAR,
  "pub" VARCHAR,
  "id" VARCHAR,
  "title" VARCHAR,
  "description" VARCHAR,
  "thumbnails" VARCHAR,
  "tags" VARCHAR,
  "duration" VARCHAR,
  "viewcount" BIGINT,
  "likecount" DOUBLE,
  "dislikecount" DOUBLE,
  "commentcount" BIGINT,
  "image_path" VARCHAR,
  "category" VARCHAR
);

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