【INF4000】Data Visualisation

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 18th January 2024 at 2:00pm via the Turnitin link found in the Blackboard page of module INF4000 Data visualisation.
2. Report format
In the report, you will include the composite visualisation right after the cover page, followed by five sections.
• The cover page should contain module code (i.e., INF4000), word count, your registration
number and your topic.
• The composite visualisation should contain at least 4 charts, which belong to the same topic
and contribute extra information that you want to communicate.
• The five sections are (1) knowledge building, (2) theoretical frameworks, (3) accessibility, (4)
visualisation choice and (5) implications and improvements. The details of each section are
given below.
3. Dataset
You should only use secondary data and choose dataset(s) that can contribute to the topic you select.
The dataset should be fully anonymised and do not contain any personally identifiable information.
4. Sections of the report
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.
• Sections 2 -- 5 should each mainly focus on a different chart in the composite visualisation. You
can choose which chart to discuss in which section, but you have to state it clearly in the
sections.
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. You will also need to 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 framework

    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 INF4000 Data Visualisation Coursework Brief
    3
  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 at least two possible alternatives. You will need to emphasize both 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)

    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 will need to 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 will need to 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.
    5. Information School Coursework Submission
    Requirements
    Information School Student Handbook > PGT Assessment > Submitting your work
    Last submission penalties: 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 2pm 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 2pm to 2pm. 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.
    Word count penalties: Your assignment has a 3,000 word 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.
    If you encounter any problems during the electronic submission of your coursework, you should
    immediately contact the module coordinator and the Information School student support team (inf
    student-support@sheffield.ac.uk). This does not negate your responsibilities to submit your coursework
    on time and correctly.
相关推荐
杨荧14 分钟前
【JAVA毕业设计】基于Vue和SpringBoot的服装商城系统学科竞赛管理系统
java·开发语言·vue.js·spring boot·spring cloud·java-ee·kafka
白子寰20 分钟前
【C++打怪之路Lv14】- “多态“篇
开发语言·c++
王俊山IT32 分钟前
C++学习笔记----10、模块、头文件及各种主题(一)---- 模块(5)
开发语言·c++·笔记·学习
为将者,自当识天晓地。34 分钟前
c++多线程
java·开发语言
小政爱学习!36 分钟前
封装axios、环境变量、api解耦、解决跨域、全局组件注入
开发语言·前端·javascript
k09331 小时前
sourceTree回滚版本到某次提交
开发语言·前端·javascript
神奇夜光杯1 小时前
Python酷库之旅-第三方库Pandas(202)
开发语言·人工智能·python·excel·pandas·标准库及第三方库·学习与成长
Themberfue1 小时前
Java多线程详解⑤(全程干货!!!)线程安全问题 || 锁 || synchronized
java·开发语言·线程·多线程·synchronized·
plmm烟酒僧1 小时前
Windows下QT调用MinGW编译的OpenCV
开发语言·windows·qt·opencv
测试界的酸菜鱼1 小时前
Python 大数据展示屏实例
大数据·开发语言·python