Inspiration
We were excited to try out several software such as Seaborn, Pandas and RStudio to help us understand more about data analysis.
What it does
(EUFS) - We have analysed the differences between ADS and ADAS cars in terms of safety and overall quality by taking the data given by EUFS and used Seaborn, Pandas and RStudio to translate the data into graphs.
(Hackiest Hack - Hackathons UK) - We have made a GUI using Tkinter and Python that can be used for businesses to retrieve information from their customer such as email address, phone number and name.
Other than that, admins or business owners can access the data of their customers by accessing the "View User Details" button. The user details can only be accessed by entering the correct password, which is "Ada2024".
There is also a button at the bottom page of the GUI that says "Our Website" which redirects the user to a website of the company. (in order to load the website, you must execute the website file first before executing the GUI file).
How we built it
(EUFS) WE used Seaborn, Pandas and RStudio to analyse the data.
(Hackiest Hack) We used Python, Tkinter and Pillow to run the GUI. Flask was used to run the website.
Challenges we ran into
Running into errors when importing data from an excel file into a graph.
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