Netflix Movies and TV Shows Data Analysis using PostgreSQL

OBJECTIVE

• Analyze the distribution of content types (movies vs TV shows).
• Identify the most common ratings for movies and TV shows.
• List and analyze content based on release years, countries, and durations.
• Explore and categorize content based on specific criteria and keywords

Dataset

The data for this project is sourced from the Kaggle dataset:

• Dataset Link: Movies Dataset

Schema

DROP TABLE IF EXISTS netflix;

CREATE TABLE netflix

(

    show_id      VARCHAR(5),

    type         VARCHAR(10),

    title        VARCHAR(250),

    director     VARCHAR(550),

    casts        VARCHAR(1050),

    country      VARCHAR(550),

    date_added   VARCHAR(55),

    release_year INT,

    rating       VARCHAR(15),

    duration     VARCHAR(15),

    listed_in    VARCHAR(250),

    description  VARCHAR(550)

);

Business Problems and Solutions

1. Count the Number of Movies vs TV Shows

SELECT 

    type,

    COUNT(*)

FROM netflix

GROUP BY 1;

Objective: Determine the distribution of content types on Netflix.

2. Find the Most Common Rating for Movies and TV Shows

WITH RatingCounts AS (

    SELECT 

        type,

        rating,

        COUNT(*) AS rating_count

    FROM netflix

    GROUP BY type, rating

),

RankedRatings AS (

    SELECT 

        type,

        rating,

        rating_count,

        RANK() OVER (PARTITION BY type ORDER BY rating_count DESC) AS rank

    FROM RatingCounts

)

SELECT 

    type,

    rating AS most_frequent_rating

FROM RankedRatings

WHERE rank = 1;

Objective: Identify the most frequently occurring rating for each type of content.

3. List All Movies Released in a Specific Year (e.g., 2020)

SELECT * 

FROM netflix

WHERE release_year = 2020;

Objective: Retrieve all movies released in a specific year.

4. Find the Top 5 Countries with the Most Content on Netflix

SELECT * 

FROM

(

    SELECT 

        UNNEST(STRING_TO_ARRAY(country, ',')) AS country,

        COUNT(*) AS total_content

    FROM netflix

    GROUP BY 1

) AS t1

WHERE country IS NOT NULL

ORDER BY total_content DESC

LIMIT 5;

Objective: Identify the top 5 countries with the highest number of content items.

5. Identify the Longest Movie

SELECT 

    *

FROM netflix

WHERE type = 'Movie'

ORDER BY SPLIT_PART(duration, ' ', 1)::INT DESC;

Objective: Find the movie with the longest duration.

6. Find Content Added in the Last 5 Years

SELECT *

FROM netflix

WHERE TO_DATE(date_added, 'Month DD, YYYY') >= CURRENT_DATE - INTERVAL '5 years';

Objective: Retrieve content added to Netflix in the last 5 years.

7. Find All Movies/TV Shows by Director 'Rajiv Chilaka'

SELECT *

FROM (

    SELECT 

        *,

        UNNEST(STRING_TO_ARRAY(director, ',')) AS director_name

    FROM netflix

) AS t

WHERE director_name = 'Rajiv Chilaka';

Objective: List all content directed by 'Rajiv Chilaka'.

8. List All TV Shows with More Than 5 Seasons

SELECT *

FROM netflix

WHERE type = 'TV Show'

  AND SPLIT_PART(duration, ' ', 1)::INT > 5;

Objective: Identify TV shows with more than 5 seasons.

9. Count the Number of Content Items in Each Genre

SELECT 

    UNNEST(STRING_TO_ARRAY(listed_in, ',')) AS genre,

    COUNT(*) AS total_content

FROM netflix

GROUP BY 1;

Objective: Count the number of content items in each genre.

10.Find each year and the average numbers of content release in India on netflix.

return top 5 year with highest avg content release!

SELECT 

    country,

    release_year,

    COUNT(show_id) AS total_release,

    ROUND(

        COUNT(show_id)::numeric /

        (SELECT COUNT(show_id) FROM netflix WHERE country = 'India')::numeric * 100, 2

    ) AS avg_release

FROM netflix

WHERE country = 'India'

GROUP BY country, release_year

ORDER BY avg_release DESC

LIMIT 5;

Objective: Calculate and rank years by the average number of content releases by India.

11. List All Movies that are Documentaries

SELECT * 

FROM netflix

WHERE listed_in LIKE '%Documentaries';

Objective: Retrieve all movies classified as documentaries.

12. Find All Content Without a Director

SELECT * 

FROM netflix

WHERE director IS NULL;

Objective: List content that does not have a director.

13. Find How Many Movies Actor 'Salman Khan' Appeared in the Last 10 Years

SELECT * 

FROM netflix

WHERE casts LIKE '%Salman Khan%'

  AND release_year > EXTRACT(YEAR FROM CURRENT_DATE) - 10;

Objective: Count the number of movies featuring 'Salman Khan' in the last 10 years.

14. Find the Top 10 Actors Who Have Appeared in the Highest Number of Movies Produced in India

SELECT 

    UNNEST(STRING_TO_ARRAY(casts, ',')) AS actor,

    COUNT(*)

FROM netflix

WHERE country = 'India'

GROUP BY actor

ORDER BY COUNT(*) DESC

LIMIT 10;

Objective: Identify the top 10 actors with the most appearances in Indian-produced movies.

15. Categorize Content Based on the Presence of 'Kill' and 'Violence' Keywords

SELECT 

    category,

    COUNT(*) AS content_count

FROM (

    SELECT 

        CASE 

            WHEN description ILIKE '%kill%' OR description ILIKE '%violence%' THEN 'Bad'

            ELSE 'Good'

        END AS category

    FROM netflix

) AS categorized_content

GROUP BY category;

Objective: Categorize content as 'Bad' if it contains 'kill' or 'violence' and 'Good' otherwise. Count the number of items in each category.

Findings and Conclusion

• Content Distribution: The dataset contains a diverse range of movies and TV shows with varying ratings and genres.

• Common Ratings: Insights into the most common ratings provide an understanding of the content's target audience.

• Geographical Insights: The top countries and the average content releases by India highlight regional content distribution.

• Content Categorization: Categorizing content based on specific keywords helps in understanding the nature of content available on Netflix.

This analysis provides a comprehensive view of Netflix's content and can help inform content strategy and decision-making.