Netflix 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

DROPTABLE IF EXISTS netflix;
CREATETABLEnetflix
(
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 BY1;

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 BY1
) AS t1
WHERE country IS NOT NULLORDER BY total_content DESCLIMIT5;

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)::INTDESC;

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 BY1;

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/
(SELECTCOUNT(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 DESCLIMIT5;

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 FROMCURRENT_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 BYCOUNT(*) DESCLIMIT10;

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.

Author - AKSHAT SHARMA

This project is part of my portfolio, showcasing the SQL skills essential for data analyst roles. If you have any questions, feedback, or would like to collaborate, feel free to get in touch!