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This project focuses on scraping all the service locations across Australia & New Zealand and their associated attributes from "Suez" website; performing necessary transformations on the scraped data and then analyzing & visualizing it using Jupyter Notebook and Power BI.
This project focuses on scraping data related to video games from the GameRevolution website; performing necessary transformations on the scraped data and then analyzing & visualizing it using Jupyter Notebook and Power BI.
Place Deputy pay slips in a folder and get everything organized into a pdfs, by week and type of shift as well as the hours and some nice graphs and other tools
This project focuses on scraping data related to cafes and coffee shops in London, England from the Yellow Pages (Yell.com) website; performing necessary transformations on the scraped data and then analyzing & visualizing it using Jupyter Notebook and Power BI.
This project aims to scrape all product data from the Tiki website in June 2023 and store it in a MongoDB database. The collected data can then be analyzed and used for various purposes 🕸️
This project focuses on scraping all the quotes and their related data from the "Quotes To Scrape" website; performing necessary transformations on the scraped data and then analyzing & visualizing it using Jupyter Notebook and Power BI.
This project focuses on scraping data related to Japanese Whiskey from the Whiskey Exchange website; performing necessary transformations on the scraped data and then analyzing & visualizing it using Jupyter Notebook and Power BI.
This project focuses on scraping student properties related data from the UK Student Accommodation website; performing necessary transformations on the scraped data and then analyzing & visualizing it using Jupyter Notebook and Power BI.
A web application developed for the data collection team at the University of the Free State. The app, named MARS combines weekly attendance register files into a single bulk/aggregated attendance file.