Cardiff School of Computer Science and Informatics Coursework Assessment Pro-forma Module Code: CMT218 Module Title: Data Visualisation Lecturer: Dr Martin Chorley Assessment Title: Data Analysis and Visualisation Creation Assessment Number: 2 Date Set: 9th March 2020 Submission Date and Time: 4th May 2020 at 9:30am Return Date: 3rd June 2020 This assignment is worth 70% of the total marks available for this module. If coursework is submitted late (and where there are no extenuating circumstances): 1 If the assessment is submitted no later than 24 hours after the deadline, the mark for the assessment will be capped at the minimum pass mark; 2 If the assessment is submitted more than 24 hours after the deadline, a mark of 0 will be given for the assessment. Your submission must include the official Coursework Submission Cover sheet, which can be found here: https://docs.cs.cf.ac.uk/downloads/coursework/Coversheet.pdf Submission Instructions The coursework submission should consist of two items: a coursework coversheet, and your submission for the coursework in your chosen format, as explained in the next section Description Type Name Cover sheet Compulsory One PDF (.pdf) file [student number].pdf Data Analysis and Visualisation Compulsory One zip archive (.zip) containing all code/outputs used to analyse and visualise data DAV_[student number].zip Process Report and Evaluation Compulsory One PDF (.pdf) or Word file (.doc or .docx) PR_[student_number] .pdf/.doc/.docx Any deviation from the submission instructions above (including the number and types of files submitted) will result a reduction in marks for that assessment or question part of 10%. Staff reserve the right to invite students to a meeting to discuss coursework submissions Assignment You are asked to carry out an analysis of a dataset(s) and to present your findings in the form of a report and visualisation(s), along with a record and evaluation of your analysis. You should find one or more freely available dataset(s) on any topic, from a reliable source. You may wish to choose something from data.gov.uk or ons.gov.uk for example. You should then carry out an analysis of this data to determine what the data tells you about its particular topic and should visualise this data in a way that allows a user to understand the data and what the data shows. You can use any language or tool you like to carry out both the analysis and the visualisation, but all code used must be submitted as part of the coursework. For example, you may wish to extract, transform and analyse the data using Python, and then create visualisations using d3.js. You should create a short (2-4 page) report of your process that includes a description of your analysis methods and the procedure used to create your visualisation. This record should show the development of the resulting visualisation(s), including any prototype or rejected visualisations/analyses. Most importantly, it should also include a reflective evaluation of your finished analysis. Important! It is expected that each student will choose a different dataset. Once you have chosen your dataset(s) for analysis, you should complete the form at http://bit.ly/cmt218- 1920-cw2 with your selection to confirm it is a unique choice. Dataset allocation will be done on a first-come, first-served basis, so do not delay, as another student may ‘claim’ the dataset first! Data selection should be completed by 20th March at 5PM. Any data redistribution as part of your submission must abide by the licence under which the data was obtained. Learning Outcomes Assessed 3. Examine and explore data to find the best way it can be visually represented 4. Access web APIs and data sources, retrieve and manipulate data 5. Create static, animated and interactive visualisations of data 6. Critically reflect upon and discuss the merits and shortcomings of their own visualisation work Criteria for assessment Credit will be awarded against the following criteria. Component & Contribution Fail Pass Merit Distinction Dataset selection and analysis (10%) No real data used, or dataset ‘fake’ No/basic analysis of data Real-world data selected Cursory high-level analysis of data Real-world data selected Data analysed in detail Multiple real- world datasets on similar theme selected Visualisation and Data Presentation (60%) None/poor visualisation of data Poor data presentation No story conveyed to user, story/findings unclear Data visualised appropriately Message/story clear to end user Multiple appropriate visualisations End user able to explore/interpret data and affect display Message/story clear Multiple appropriate visualisations with interaction and/or appropriate animation End user able to explore/interpret data and/or affect display Message/story clear Process Report and Evaluation (30%) No report/report lacking in content Little to no evaluation Analysis and visualisation process described well. Some effort at evaluation Analysis and visualisation process well documented. Reasonable evaluation Analysis and visualisation process thoroughly documented. Insightful evaluation Feedback and suggestion for future learning Feedback on your coursework will address the above criteria. Individual feedback and marks will be returned on 3rd June 2020 via email, with further cohort feedback given by video. Feedback from this assignment will be useful your dissertation. Questions Questions about the assignment can be posted to the COMSC StackOverflow site: https://stackoverflow.com/c/comsc using the tag cmt218-cw
