Exploratory data analysis using R Language on imdb dataset

[Tejaswi-Kumar]

Description of the project, you want to add.

IMDB is a popular website for rating films and series. Everyone always goes there if they want to watch something new and many users trust its rankings. The data is about the most popular 7k Films and series on IMDB with rates, the data is ideal for Exploratory Data Analysis and we also thought of using regression to predict rates. It contains the following columns: name, year of release, votes, rating, duration, genre, certificates, and type of content such as violence, profanity, alcohol, etc. its

Mention if this feature is for any specific Working Environment (e.g. operating system, browser, device, N/A)

R language and Rstudios preferably as it will be an Rmd file.

Please add some pictorial references to the prooject, if applicable (Drag & Drop your ss below)

What will be your aprroach to add this project?

The methodology that I am thinking of is to use the Divide and Conquer approach. I will try the best algorithms to identify the tasks that could be divided into independent tasks that could be worked upon by me in parallel. As there are many parameters, I would need to work on different parameters and plots regarding the analysis in order to get useful information. Also, the working methodology will be to build models like linear regression to see the trends for the dataset. Through this analysis, more research work could be pushed for future use. Will then fork the repo and add the project as well as the dataset used (from Kaggle).

Any other context you have, to add here regarding this project.

Mostly this project will revolve around EDA and a little portion of ML would be involved.

[Anubhavdevv]

Great Idea🙌 Go Ahead Assigned to You 🚀

[Tejaswi-Kumar]

Raised a pull request #56 . Please review and approve if everything is in order.

Thanks and Regards!