Neflix Movies and TV Shows Data Analysis using SQL

Overview

This project involves a comprehensive analysis of Netflix's movies and TV shows data using SQL. The goal is to extract valuable insights and answer various business questions based on the dataset. The following README provides a detailed account of the project's objectives, business problems, solutions, findings, and conclusions.

Objectives

• 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

select 
    type,
    rating
from 
(
   select
        type,
        rating,
        count(*),
        rank() over (partition by type order by count(*) desc) as ranking
   from netflix
   group by 1, 2
) as t1
where 
    ranking = 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 type = 'Movie'
      AND
	  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 
   unnest(string_to_array(country, ',')) as new_country,
   count(*) as most_content
from netflix
group by 1
order by 2 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'
      AND
	  duration = (select max(duration) from netflix);

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 netflix
where 
    director like '%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)::numeric > 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(show_id) 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
     extract(year from to_date(date_added, 'Month DD, YYYY')) as year,
	 count(*) as yearly_content,
	 round(count(*)::numeric/(select count(*) from netflix where country = 'India')::numeric * 
	 100,2) as avg_content_per_year
from netflix
where country = 'India'
group by 1
order by avg_content_per_year 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 
    type = 'Movie'
	AND
	listed_in ILIKE '%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 ILIKE '%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 actors,
	 count(*) as total_content
from netflix
where 
     country ILIKE '%India%'
group by 1
order by 2 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

with new_table as(
select 
    *,
	case 
	when 
	    description ILIKE '%kill%' or
	    description ILIKE '%voilence%' then 'bad_content'
	    else 'good_content'
    end	category
from netflix     
)
select
    category,
	count(*) as total_content
from new_table
group by 1
order by 2 desc;

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.