TMDb-movie-data-analysis

From this dataset we could try to solve many different questions such as :

1- Which genres are most popular from year to year?

2- What kinds of properties are associated with movies that have high revenues?

3- Who are the actors that have participated in more movies?

4- What is the most 10 popular genres all over the time?

5- Is there a relation between a movie runtime and the vote average?

6- Is there an improvement in the quality of movies from year to year?

7- Who are the top 5 directors according to high revenues?

8- What kinds of properties are associated with movies that have high revenues?

9- Is the number of movies increase from year to year?

For the analysis included in the notebook I have chosen to look at the following 6 questions :

1- What is the most 10 popular genres all over the time?

2- Is there a relation between a movie runtime and the vote average?

3- Is there an improvement in the quality of movies from year to year?

4- Who are the top 5 directors according to high revenues?

5- What kinds of properties are associated with movies that have high revenues?

6- Is the number of movies increase from year to year?