This project use the Movie dataset from Kaggle. And proceed the data using Python with Pandas package. And visualize the data for Exploratory Data Analysis (EDA) using Matplotlib + Seaborn package. This dataset is collcted for the movie relased on or before July 2017 there are multiple file in this dataset like Cast, Crew, Movies Metadata etc. Which hold information for movie and revenue and rating from the user collect from GroupLens.
In this project I aim to load and clean the data. Find any intesting fact and trend in the movie produce.
To reproduce this you will need Kaggle account and API Key
1.Go to Kaggle and create an account
2.Go to Setting and scoll down you will see a API section select Create New Token
3.Once the file is downloaded create a .kaggle folder in your profile folder and paste the file there ~/.kaggle/kaggle.json
4.Install Kaggle CLI
pip install Kaggle
You will also need the below package.
Clone this project
git clone https://github.com/Chalermdej-l/PortfolioProject
Access the clone directory
cd PortfolioProject
Intall the require package by
pip install -r requirements.txt
Download the data from keggle
kaggle datasets download -d rounakbanik/the-movies-dataset -p data --unzip –force
Once the package is install please access the file and run the code.