Skip to content

Data Analysis and visualization on IMDB Database to answer the most asked questions on movies using Python, Pandas, Matplotlib, Seaborn, NumPy, and Jupiter Notebook.

Notifications You must be signed in to change notification settings

MahmoudElMahdi/IMDB-DA

Repository files navigation

In this analysis, we will know important information about movies and movies production companies from the IMDB dataset and answer some important questions like:

1-Is there a relation between the rates and years? And What is it lead to?

2-What is the most rate is given to the movies? And What is it?

3-Is there any relation between movie production and years? And What is it lead to?

4-Is there any relation between the revenue and the years? And What is it lead to?

5-Is the movie production companies spend more budgets over the years? And What is it lead to?

6-What are the top 5 movies made a profit? And What is the highest one?

7-What is the highest genre?

8-What are the top 10 Directors by rate? And What is the highest one?

9-What are the Top 10 directors by Total revenue for the movies they directed?

10-What are the Top 10 directors by Average revenue for the movies they directed?

For the analysis included in the notebook we will take look at all the abouve questions.

About

Data Analysis and visualization on IMDB Database to answer the most asked questions on movies using Python, Pandas, Matplotlib, Seaborn, NumPy, and Jupiter Notebook.

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published