INF4000 Data Visualisation
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INF4000 Data Visualisation
Coursework brief
1. General information
The assessment of the module tests not only your ability to create informative visualisation but also the knowledge you have gained throughout the semester on important visualisation topics and how much you have engaged with the visualisation literature. The assessment will consist of a document (written in Word or similar document writing software) consisting of a composite visualisation and related reflections. The reflections need to be your individual take on the topics discussed in the seminars and lectures. Those reflections need to be put in a wider context using relevant literature sources. Keep in mind that visualisations that are not your work cannot be used in this assessment.
The assessment should be 3,000 word long, divided into five sections of approximate equal length. This assessment will account for 100% of the mark of INF4000 Data visualisation. A mark of 50 is required to pass the module. The deadline for the assessment is Wednesday, 25th January 2023 at 10:00am via the Turnitin link found in the Blackboard page of module INF4000 Data visualisation.
2. Sections of the report
The composite visualisation should contain at least 4 charts, which belong to the same topic and contribute extra information that you want to communicate. In the report, you will include the visualisations right after the cover page, followed by five sections. You should consider all sections equally important and devote around 600 words to each section, for a total of 3,000 words. You need to cover the entire composite visualisation in section 1. You can choose to focus on one or more than one chart in section 2 – 5.
Dataset sources:
You should choose datasets from reliable data sources that can contribute to the topic you select. Note that you should not use the datasets for module INF6027. It is your responsibility to ensure that the dataset does not contain any personally identifiable data and is made available as anonymised data. If the selected dataset(s) fail to meet these requirements, an automatic fail will be granted to the submission. Here is a list of pre-approved data sources that you can use:
● CDRC (excluding the Index of Multiple Deprivation dataset):
https://data.cdrc.ac.uk/search/type/dataset
● OWiD (excluding the covid- 19 dataset):https://ourworldindata.org/
● WDI:https://databank.worldbank.org/source/world-development-indicators
● ONS:https://www.ons.gov.uk/
● UBDC:https://www.ubdc.ac.uk/
● London:https://data.london.gov.uk/
● New York City Taxi data: https://www.nyc.gov/site/tlc/about/tlc-trip-record-data.page
Any dataset(s) that you choose that don't belong to this list, you would need to declare them using this Form by 10 am on 9th December (Week 11). We will go through the dataset that you have declared and will approve them if they meet this criteria by 14th December (mid-Week 12). If you use a dataset out of the approved list above without declaring them by the deadline, your work will be graded an automatic fail.
The five sections are:
1. Knowledge building – Describe how the visualisation provides new knowledge on a specific topic. You will need to briefly explain the topic you want to address, and why it is important. In addition, you should explain how you found the dataset(s), why you chose it (them) and correctly reference the dataset(s). You will need to explain what the visualisation is showing and what new knowledge it provides about the topic you chose. It might help to think about the ‘A’ in ASSERT and describe what question the visualisation is trying to answer. You should link your discussion of the visualisation to literature sources that might concur or conflict with your discussion.
Examples of what we will be looking for:
● Clearly state the topic and explain why the topic is important
● Explain how the dataset is found, why you chose it and correctly reference the dataset
● Explain what the visualisation is showing and what new knowledge it provides about the topic
● Good literature sources
● Sufficient discussion
2. Theoretical frameworks - Describe your visualisation and the way you created it using theoretical frameworks. You will need to refer to both the ASSERT framework and the grammar of graphics. You will need to explain how you followed each stage of the ASSERT framework to create the visualisation and explain the elements of your visualisation using the grammar of graphics elements (e.g. geometries, aesthetics, coordinate systems).
Examples of what we will be looking for:
● Clearly state the question to answer
● Detailed description for six stages in the ASSERT
● Discussion using grammar of graphics (multiple occasions)
● Good literature sources
3. Accessibility – Describe what accessibility means in visualisation and whether the visualisation you developed is accessible. You will need to explain how issues with accessibility can make it impossible for certain people to properly analyse a visualisation. You will also need to critique your visualisation with regards to accessibility, discussing whether it is accessible and what design choices you made helped or hindered accessibility.
Examples of what we will be looking for:
● Describe what accessibility means in visualisation
● Discussion on whether the visualisation is accessible and what design choices you made helped or hindered accessibility
● Good literature sources
● Sufficient discussion
4. Visualisation choice – Describe and justify your choice of visualisation type based on the goal of the visualisation. You will need to describe and justify why you chose the type of visualisation and discuss possible alternatives. You will need to emphasise the positive and negative aspects of each type of visualisation mentioned and show an awareness of when each visualisation is appropriate based on the data shown and the goal of the visualisation. You can refer to visualisation taxonomies to support your discussion.
Examples of what we will be looking for:
● Justify why you chose the type of visualisation
● Discuss possible alternatives (at least two items)
● Good literature sources
● Sufficient discussion related to the goal of the visualisation
5. Implications and Improvements - Describe the ethical implications of using the visualisation in the topic you identified. You could discuss how visualisations could be used to (mis)inform the public, or arrive at (in)accurate conclusions. You could also discuss relevant (preferably on your topic) examples where this has happened in the past, with links to the literature. You should propose changes to justify how the visualisation could be improved. You do not need to provide an improved visualisation, but should provide ideas on datasets, visual design, accessibility.
Examples of what we will be looking for:
● Discussion and reflection on visualisations in the topic you choose
● References to examples or discussions (news, literature)
● Propose improvements on the visualisation you created
Each section should demonstrate that you engaged with relevant literature. That means you are expected to have citations to relevant articles in the literature of visualisation that support or provide context to your reflections in each section. Each section of the assessment will be explained and covered throughout the module in lectures and seminars. Engaging in these will help you produce a good assessment.
3. Information School Coursework Submission Requirements
It is the student’s responsibility to ensure no aspect of their work is plagiarised or the result of other unfair means. The University’s and Information School’s Advice on unfair means can be found in your Student Handbook, available via http://www.sheffield.ac.uk/is/current .
Your assignment has a word count limit. A deduction of 3 marks will be applied for coursework that is 10% or more above or below the word count as specified above or that does not state the word count.
It is your responsibility to ensure your coursework is correctly submitted before the deadline. It is highly recommended that you submit well before the deadline. Coursework submitted after 10am on the stated submission date will result in a deduction of 5% of the mark awarded for each working day after the submission date/time up to a maximum of 5 working days, where ‘working day’ includes Monday to Friday (excluding public holidays) and runs from 10am to 10am. Coursework submitted after the maximum period will receive zero marks. Work submitted electronically, including through Turnitin, should be reviewed to ensure it appears as you intended.
Before the submission deadline, you can submit coursework to Turnitin numerous times. Each submission will overwrite the previous submission. Only your most recent submission will be assessed. However, after the submission deadline, the coursework can only be submitted once.
During your first Semester at the School, when submitting a piece of work through Turnitin, you will only be able to view a ‘similarity report’ when submitting your Test Essay. You can then edit and resubmit your Test Essay. For other coursework you will not be able to view a Turnitin ‘similarity report’ . Details about the submission of work via Turnitin can be found at:
If you encounter any problems during the electronic submission of your coursework, you should immediately contact the module coordinator and the Information School teaching support team is-teaching- [email protected]). This does not negate your responsibilities to submit your coursework on time and correctly.
2023-03-09