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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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                                      # NETFLIX-DATA-ANALYSIS

Tool used :- SQL, TABLEAU

DATASET :- https://www.kaggle.com/datasets/victorsoeiro/netflix-tv-shows-and-movies?select=titles.csv

QUESTIONS I WANT TO ANSWER FROM DATASET ARE : -

  1. What were the top 10 movies according to IMDB score?

  2. What were the top 10 shows according to IMDB score?

  3. What were the bottom 10 movies according to IMDB score?

  4. What were the bottom 10 shows according to IMDB score?

  5. What were the average IMDB and TMDB scores for shows and movies?

  6. What were the 5 most common age certifications for movies?

  7. What were the top 3 most common genres in movies and shows?

  8. Production countries with the most movies and shows?

  9. What are top 10 shows with most seasons?

  10. Calculating the average runtime of movies and TV shows

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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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