Dataset: Finding The Right Choices Get On The Right Path

About this Dataset

Finding The Right Choices Get On The Right Path

Greetings and welcome to the SOFABED data analysis case study! Throughout this case study, you will engage in a variety of real-world tasks as a junior data analyst. Your role will involve envisioning yourself as part of the team at SOFABED, a recently established streaming company that is in the process of developing its business plan and production strategies. To address essential business inquiries, you will be following the data analysis process, encompassing the key stages of asking, preparing, processing, analyzing, sharing, and acting. Along your journey, the Case Study Roadmap tables will be your valuable companions, providing guiding questions and essential tasks to ensure you remain on the right track. Let's embark on this exciting data analysis adventure together!

Tables

Amazon Movies

@kaggle.jaymesantosneto_finding_the_right_choices_get_on_the_right_path.amazon_movies

148.07 KB
3266 rows
13 columns


CREATE TABLE amazon_movies (
  "id" VARCHAR,
  "title" VARCHAR,
  "type" VARCHAR,
  "year" BIGINT,
  "runtime" BIGINT,
  "genres" VARCHAR,
  "production_countries" VARCHAR,
  "seasons" VARCHAR,
  "imdb_id" VARCHAR,
  "imdb_score" DOUBLE,
  "imdb_votes" BIGINT,
  "tmdb_popularity" DOUBLE,
  "tmdb_score" DOUBLE
);

Amazon Series

@kaggle.jaymesantosneto_finding_the_right_choices_get_on_the_right_path.amazon_series

41.51 KB
616 rows
13 columns


CREATE TABLE amazon_series (
  "id" VARCHAR,
  "title" VARCHAR,
  "type" VARCHAR,
  "year" BIGINT,
  "runtime" BIGINT,
  "genres" VARCHAR,
  "production_countries" VARCHAR,
  "seasons" BIGINT,
  "imdb_id" VARCHAR,
  "imdb_score" DOUBLE,
  "imdb_votes" BIGINT,
  "tmdb_popularity" DOUBLE,
  "tmdb_score" DOUBLE
);

Netflix Movies

@kaggle.jaymesantosneto_finding_the_right_choices_get_on_the_right_path.netflix_movies

125 KB
2438 rows
13 columns


CREATE TABLE netflix_movies (
  "id" VARCHAR,
  "title" VARCHAR,
  "type" VARCHAR,
  "year" BIGINT,
  "runtime" BIGINT,
  "genres" VARCHAR,
  "production_countries" VARCHAR,
  "seasons" VARCHAR,
  "imdb_id" VARCHAR,
  "imdb_score" DOUBLE,
  "imdb_votes" BIGINT,
  "tmdb_popularity" DOUBLE,
  "tmdb_score" DOUBLE
);

Netflix Series

@kaggle.jaymesantosneto_finding_the_right_choices_get_on_the_right_path.netflix_series

83.2 KB
1564 rows
13 columns


CREATE TABLE netflix_series (
  "id" VARCHAR,
  "title" VARCHAR,
  "type" VARCHAR,
  "year" BIGINT,
  "runtime" BIGINT,
  "genres" VARCHAR,
  "production_countries" VARCHAR,
  "seasons" BIGINT,
  "imdb_id" VARCHAR,
  "imdb_score" DOUBLE,
  "imdb_votes" BIGINT,
  "tmdb_popularity" DOUBLE,
  "tmdb_score" DOUBLE
);