TED-Ed Dataset Acquired Via YouTube API
TED-Ed Unleashed: Unraveling Wisdom Through the Lens of Data
@kaggle.hadilhagar_ted_ed_dataset_acquired_via_youtube_api
TED-Ed Unleashed: Unraveling Wisdom Through the Lens of Data
@kaggle.hadilhagar_ted_ed_dataset_acquired_via_youtube_api
As fan of TED-Ed, mycuriosity led me to explore what makes their videos unique. Employing the Google YouTubeData API (version 3.0), I collected the metadata associated with their videos. This dataset, consisting of two CSV files, one for video details and the other for the comments of the videos. The two have video_id as a common primary key.
video_df File:
** comment_df File: **
CREATE TABLE comments_df1 (
"video_id" VARCHAR,
"comments" VARCHAR
);CREATE TABLE video_df (
"video_id" VARCHAR,
"channeltitle" VARCHAR,
"title" VARCHAR,
"description" VARCHAR,
"tags" VARCHAR,
"publishedat" TIMESTAMP,
"viewcount" BIGINT,
"likecount" DOUBLE,
"favouritecount" VARCHAR,
"commentcount" DOUBLE,
"duration" VARCHAR,
"definition" VARCHAR,
"caption" BOOLEAN,
"publishdayname" VARCHAR,
"durationsecs" BIGINT,
"tagscount" BIGINT,
"likeratio" DOUBLE,
"commentratio" DOUBLE,
"titlelength" BIGINT,
"durationminutes" DOUBLE,
"title_no_stopwords" VARCHAR
);Anyone who has the link will be able to view this.