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Using SQL, and Tableau, I dove into Netflix's massive dataset of 82,000 rows containing shows and movies. I simplified and analyzed the data, revealing cool insights and interesting facts about what's available on the platform. These tools helped me find patterns, uncover trends, and share a clear picture of Netflix's diverse content world

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---1)What were the top 10 movies according to IMDB score? QUERY : - SELECT title, type, imdb_score FROM titles WHERE imdb_score >= 8.0 AND type = 'MOVIE' ORDER BY imdb_score DESC LIMIT 10

---2) What were the top 10 shows according to IMDB score? QUERY :- SELECT title, type, imdb_score FROM titles WHERE imdb_score >= 8.0 AND type = 'SHOW' ORDER BY imdb_score DESC LIMIT 10

--- 3)What were the bottom 10 movies according to IMDB score? QUERY :- SELECT title, type, imdb_score FROM titles WHERE type = 'MOVIE' ORDER BY imdb_score ASC LIMIT 10

---4) What were the bottom 10 shows according to IMDB score? QUERY:- SELECT title, type, imdb_score FROM titles WHERE type = 'SHOW' ORDER BY imdb_score ASC LIMIT 10

---5) What were the average IMDB and TMDB scores for shows and movies? QUERY:- SELECT DISTINCT type, ROUND(AVG(imdb_score),2) AS avg_imdb_score, ROUND(AVG(tmdb_score),2) as avg_tmdb_score FROM titles GROUP BY type

---6) Count of movies and shows in each decade QUERY :- SELECT CONCAT(FLOOR(release_year / 10) * 10, 's') AS decade, COUNT(*) AS movies_shows_count FROM titles WHERE release_year >= 1940 GROUP BY CONCAT(FLOOR(release_year / 10) * 10, 's') ORDER BY decade;

--- 7)What were the 5 most common age certifications for movies? QUERY :- SELECT age_certification, COUNT(*) AS certification_count FROM titles WHERE type = 'Movie' AND age_certification != 'N/A' GROUP BY age_certification ORDER BY certification_count DESC LIMIT 5;

--- 8)Calculating the average runtime of movies and TV shows separately SELECT ROUND(AVG(runtime),2) AS avg_runtime_min FROM titles WHERE type = 'Movie' UNION ALL SELECT ROUND(AVG(runtime),2) AS avg_runtime_min FROM shows_movies.titles WHERE type = 'Show';

--- 9)Which shows on Netflix have the most seasons? SELECT title, SUM(seasons) AS total_seasons FROM titles WHERE type = 'Show' GROUP BY title ORDER BY total_seasons DESC LIMIT 10

---10) What are the top 3 genres? SELECT genres,COUNT(*) AS total_count FROM titles WHERE type = 'MOVIE' OR type = 'SHOW' GROUP BY genres ORDER BY total_count DESC Limit 3;

---11) Production countries with the most movies and shows? SELECT production,COUNT(*) AS total FROM titles GROUP BY production ORDER BY total DESC LIMIT 3;

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Using SQL, and Tableau, I dove into Netflix's massive dataset of 82,000 rows containing shows and movies. I simplified and analyzed the data, revealing cool insights and interesting facts about what's available on the platform. These tools helped me find patterns, uncover trends, and share a clear picture of Netflix's diverse content world

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