Data Handling and Visualisation

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Assignment details 7PAM2004-0206-2021 – Data Handling and Visualisation
– Click on Jupyter notebook menu item “Kernel”, then “Restart & Run All”
– Check if all Python code cells were executed without any error messages
– You will only be awarded marks for those parts of your submission that work after restarting the kernel and re-running your notebook.
Please complete this assignment by 6pm, Thursday, 5 May 2022 (extended deadline). You need to upload:
– Your ipynb notebook and its pdf copy (to make a pdf copy, download your ipynb as an html document, then print it as pdf).
– Your dashboard-infographics visualisation in pdf format.
You must submit your ipynb and both pdf files to get your work graded. You will get 0 points otherwise.
This assignment counts 25% towards your overall mark for the module. Feedback will be given via comments on pdf files of your submission, returned via canvas.
This is an individual assignment and must be your original work. Regulations governing assessment offences including Plagiarism and Collusion are available from here. (UPR AS14).
Please note that late submission of coursework will typically attract a lateness penalty. For each day or part day for up to five days after the published deadline, coursework submitted late will have the numeric grade reduced by 10% until the numeric grade reaches a bare pass (i.e. 50% for graduate modules). If the numeric grade awarded for the assessment is already less than 50%, no lateness penalty will be applied. Coursework submitted later than five days after the published deadline will be awarded a grade of zero.
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