Dataset: Netflix "Top 10" TV Shows And Films

About this Dataset

Netflix "Top 10" TV Shows And Films

Every Tuesday, Netflix publishes four global Top 10 lists for films and TV: Film (English), TV (English), Film (Non-English), and TV (Non-English). These lists rank titles based on weekly hours viewed: the total number of hours that members around the world watched each title from Monday to Sunday of the previous week.

Each season of a series and each film is considered on their own, so you might see both Stranger Things seasons 2 and 3 in the Top 10. Because titles sometimes move in and out of the Top 10, there is also the total number of weeks that a season of a series or film has spent on the list.

Netflix also publishes Top 10 lists for nearly 100 countries and territories (the same locations where there are Top 10 rows on Netflix). Country lists are also ranked based on hours viewed but don’t show country-level viewing directly.

Finally, Netflix provides a list of the Top 10 most popular Netflix films and TV (branded Netflix in any country) in each of the four categories based on the hours that each title was viewed during its first 28 days.

Tables

All Weeks Countries

@kaggle.dhruvildave_netflix_top_10_tv_shows_and_films.all_weeks_countries

404.93 KB
112300 rows
8 columns


CREATE TABLE all_weeks_countries (
  "country_name" VARCHAR,
  "country_iso2" VARCHAR,
  "week" TIMESTAMP,
  "category" VARCHAR,
  "weekly_rank" BIGINT,
  "show_title" VARCHAR,
  "season_title" VARCHAR,
  "cumulative_weeks_in_top_10" BIGINT
);

All Weeks Global

@kaggle.dhruvildave_netflix_top_10_tv_shows_and_films.all_weeks_global

42.88 KB
2400 rows
7 columns


CREATE TABLE all_weeks_global (
  "week" TIMESTAMP,
  "category" VARCHAR,
  "weekly_rank" BIGINT,
  "show_title" VARCHAR,
  "season_title" VARCHAR,
  "weekly_hours_viewed" BIGINT,
  "cumulative_weeks_in_top_10" BIGINT
);

Most Popular

@kaggle.dhruvildave_netflix_top_10_tv_shows_and_films.most_popular

5.52 KB
40 rows
5 columns


CREATE TABLE most_popular (
  "category" VARCHAR,
  "rank" BIGINT,
  "show_title" VARCHAR,
  "season_title" VARCHAR,
  "hours_viewed_first_28_days" BIGINT
);