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cleaningdata

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This repository contains files for a project that had real world data set and it was wrangled and analysed.Real-world data rarely comes clean. Using Python and its libraries, I have gathered data from a variety of sources and in a variety of formats, assessed its quality and tidiness, then clean it. This is called data wrangling.

  • Updated Nov 23, 2022
  • HTML

football match data from the YallaKora website. It collects match schedules and deep statistics (like red cards, offsides, corner kicks, etc.) for each team per match.The scraped data is structured and stored in a table format, making it suitable for analysis or integration with a data warehouse for further use in analytics, dashboards, or reports.

  • Updated Sep 8, 2025
  • Jupyter Notebook

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