This project focuses on conducting exploratory data analysis and data visualization of films produced between 1980-2020. The project aims to analyze and explore the relationships between various features of the films, such as the genre, rating, budget, gross, director, writer, and runtime.
By conducting exploratory data analysis, we can identify trends, patterns, and relationships within the dataset, which can then be visualized using various data visualization techniques such as bar charts, scatter plots, and histograms. This will help to better understand the characteristics of the films produced during this period, and enable us to make predictions about future films.
Dataset is from Kaggle
Data Collector's answer :
First of all, the data was automatically scraped using a Python script, using IMDb's advanced search tool. Here's an example query using just the year and type of content (feature film):
https://www.imdb.com/search/title?title_type=feature&release_date=1980-01-01,1980-12-31&count=100
This returns 100 films from the year 1980, ordered by popularity. The script simply selects all those films, one by one, from top to bottom.
That's the only criteria really, popularity.
How is the distribution of movie releases across years? Is there an increase or decrease in specific genres during a particular period?
What are the director-star pairs that have collaborated the most, have the highest average IMDb score, and have earned the most revenue together?
How many films were released in each season? How did the revenues of the films vary by the season they were released in?
