INT303 Assignment 1: Web Scraping & Data Analysis
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Assignment 1: Web Scraping & Data Analysis
Sep 31, 2024
In this assignment, you should work with data from
https://www.themoviedb.org/movie (Online Popular Movies Platform)
The Movie Database (TMDb) is a popular platform for movie enthusiasts, offering a vast collection of movies from all genres and regions. TMDb provides users with detailed information such as movie titles, release dates, cast, crew, genres, ratings, and more. It's ago- to source for finding information about both classic and upcoming films, as well as the latest in TV shows.
Everyone is interested in great movies, but with so many films released each year, how can we find the best ones? Scraping high-quality data from movie websites is crucial. In this project, we will utilize the skills we've learned with requests and regular expressions to scrape essential movie details from The Movie Database (TMDb) website, allowing us to build a comprehensive dataset for further analysis.
Task1. You are required to scrape 200 Movies from the website and save result into
‘your_name+id.csv ’. This file should contain data with the following columns: (40 marks)
|
Title of Movie |
5 marks |
|
Year |
5 marks |
|
User Score |
5 marks |
|
Description |
5 marks |
|
Director |
5 marks |
|
Screenplay |
5 marks |
|
Type |
5 marks |
|
Revenue |
5 marks |
You are free to explore data with more properties if needed.
Task2. You are required to do a data analysis on the data. What do you think is interesting about this data? Tell a story about some interesting thing you have discovered by looking at the data. (60 marks)
For example, which one is the best movie you might watch? Does the type of movie affect movie sales? Which category of movies sells the best?
Note: This is an open topic project. You are required to provide a novel topic and
demonstrate your hypotheses (viewpoints) with data analysis and figures illustrations.
The reports and running code (web scraping + data analysis) should be submitted using Jupter Notebook file.
Submission Checklist:
|
Yes/No |
Items |
|
|
Jupyter Notenook code |
|
|
your_name+id.csv |
Marking Guidelines
|
Marking Criteria |
|
|
Idea (5 marks) |
|
|
Discussion (30 marks) |
|
|
Organization (20 marks) |
|
|
Writing Style (5 marks) |
Strong scientific writing without grammatical errors. |
2024-10-26