{"repo":"PopcornData/popcorn-data-website","free":true,"listed":false,"github":"https://github.com/PopcornData/popcorn-data-website","clone":"git clone https://github.com/PopcornData/popcorn-data-website.git","description":"Exploring Singapore's movie trends using data","language":"JavaScript","stars":20,"topics":["data-science","data-visualization","python","flask","singapore","movies","google-data-studio","seat-map","seat-chart","theatres"],"license":null,"category":"scrapers-browser-automation","readme_excerpt":"PopcornData A project to analyse and visualise cinema seating patterns Website · Medium Article About PopcornData is a website made to analyse movie trends in Singapore — from which seats people prefer to the way they like to watch different movies. The data used was scraped from the website of Shaw Theatres, one of the biggest cinema chains in Singapore, using a webscraper we built with Python and Selenium (shaw-scraper) The data scraped was for January 2020 and using it we were able to build interesting visualisations about how people watched different movies, at different halls, theatres and timings! Some unique visualisations include: Heat maps to show the most popular seats Animations to show the order in which seats were bought Medium Articles We documented our project journey in these articles: Obtaining the Data https://medium.com/@noelmathewisaac/popcorn-data-analysing-cinema-seating-patterns-part-1-a0b2a5c2c19a Analysing and Visualising the Data https://medium.com/analytics-vidhya/popcorn-data-analysing-cinema-seating-patterns-part-ii-987fbde9d363 Deployment Deployed on Vercel Built With Bootstrap Flask Google Data Studio jQuery jQuery Seat Charts MongoDB Atlas Installation 1. Clone the repo and navigate to the correct folder 2. Create a virtual environment 3. Activate the virtual environment 4. Install the project requirements 5. Start the Flask app 6. Go to localhost:5000 on your browser to view the webapp Team Noel Mathew Isaac Vanshiqa Agrawal Acknowledgements B","default_branch":null,"files":null,"tree":[],"storefront":"/r/PopcornData","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/PopcornData/popcorn-data-website/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}