Data analysis of a movies dataset containing 10000 movie

# TMDB-Movie-Dataset

In this project I will be investigating and do analysis and making visualization to 10000 movie data set to answer some questions every step is illustrated in the notebook , after every step I did there are a markdown cell

This data set contains information

about 10,000 movies collected and cleaned from

The Movie Database (TMDb)

Source kaggle

url : https://www.kaggle.com/da...

including user ratings and revenue.

● Certain columns, like ‘cast’

and ‘genres’, contain multiple

values separated by pipe (|)

characters.

● There are some odd characters

in the ‘cast’ column. Don’t worry

about cleaning them.

● The final two columns ending

with “_adj” show the budget and

revenue of the associated movie

in terms of 2010 dollars,accounting f

Some question that will be answerd :

what kind of properties are accociated with movies that have large or high profit ?

Find important relation among some variables in addition to Which year has the most popular movies?

Find which movie is most favoured by people ?

and more question will be answered inside the notebook.