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