辅导OMM2501、辅导C++，Java编程
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Assessment 2: Critical analysis of the efficacy of data visualisations
Assessment instructions and rubric
Task
Find an example of data visualisation of your choice to analyse on the basis of its ability to communicate data insights.
You may choose any data visualisation form, be it a static graph, real time data dashboard, interactive online
visualisation, immersive visualisation or digital or print infographic. Your selected example should be accessible easily to
the marker and should not take more than a few minutes to explore or navigate through the various visuals.?
In this assessment we will be paying particular attention to aspects of user experience and the principles of producing an
engaging visualisation that can be used to communicate a clear message.
Instructions
Write a critical analysis of the data visualisation covering the following core concepts:
1. Briefly describe the data set interrogated in the visualisation and your motivation to select this data
visualisation.
2. Identify the analytical methods employed, e.g. type of data visualisation, statistics presented.
3. Describe and critique the data story presented and the insights they provide: identify the core conclusions of the
visualisation, and analyse how the mode of visualisation, its structure, design and any interactivity employed
present these arguments.
4. Describe any shortcomings of useability or legibility in the visualisation.
5. Conclude with recommendations for possible improvements to the visualisation: What analytical methods may
have been better employed? What aspects of user experience design, including information hierarchy, colour,
interactive methods, values to stakeholders, etc. could be improved upon to aid data legibility, and how? What
evaluative frameworks might be employed to assess the usability of this visualisation?
6. Support your arguments with citations where appropriate.
7. This is an individual work.
See also the assessment rubric below.
This assessment is supported by the following:
1. UX tutorials modules 1-4
2. Data storytelling, modules 1-2
3. Wireframe tutorial, module 4
4. UX evaluation case studies, module 4
Submission guidelines
Note the following requirements:
Provide a title page with the complete reference to the data object you are analysing along with clear
instructions for accessing the visualisation, along with your name and student number.
If analysing a static image, you must include it in your text with appropriate caption and citation. Provide
screenshots of the visuals where appropriate.
COMM2501/5501 Assessment 2, T3 2
Length: 1000 words?(excluding tables and figure captions?– text within tables counts).
References should be in Harvard style, with full bibliography.
Submit your assessment via the Turnitin link on the Moodle course webpage in Assessments section. See below more
information on the Turnitin submission in page 3.
Workload
1.5 hour per module (modules 1-4, total 6 hours)
Assessment criteria
This assignment will be assessed based on the following guidelines
1. Research: choice of data visualisation, justifications, and identification of sources (see also instruction 1)
2. Analysis of visualisation methodologies: analysis and critical thinking (see also instructions 2-4)
3. Conclusion and recommendations (see also instruction 5)
Assessment 2: Critical analysis of the efficacy of data visualisations
Assessment instructions and rubric
Task
Find an example of data visualisation of your choice to analyse on the basis of its ability to communicate data insights.
You may choose any data visualisation form, be it a static graph, real time data dashboard, interactive online
visualisation, immersive visualisation or digital or print infographic. Your selected example should be accessible easily to
the marker and should not take more than a few minutes to explore or navigate through the various visuals.?
In this assessment we will be paying particular attention to aspects of user experience and the principles of producing an
engaging visualisation that can be used to communicate a clear message.
Instructions
Write a critical analysis of the data visualisation covering the following core concepts:
1. Briefly describe the data set interrogated in the visualisation and your motivation to select this data
visualisation.
2. Identify the analytical methods employed, e.g. type of data visualisation, statistics presented.
3. Describe and critique the data story presented and the insights they provide: identify the core conclusions of the
visualisation, and analyse how the mode of visualisation, its structure, design and any interactivity employed
present these arguments.
4. Describe any shortcomings of useability or legibility in the visualisation.
5. Conclude with recommendations for possible improvements to the visualisation: What analytical methods may
have been better employed? What aspects of user experience design, including information hierarchy, colour,
interactive methods, values to stakeholders, etc. could be improved upon to aid data legibility, and how? What
evaluative frameworks might be employed to assess the usability of this visualisation?
6. Support your arguments with citations where appropriate.
7. This is an individual work.
See also the assessment rubric below.
This assessment is supported by the following:
1. UX tutorials modules 1-4
2. Data storytelling, modules 1-2
3. Wireframe tutorial, module 4
4. UX evaluation case studies, module 4
Submission guidelines
Note the following requirements:
Provide a title page with the complete reference to the data object you are analysing along with clear
instructions for accessing the visualisation, along with your name and student number.
If analysing a static image, you must include it in your text with appropriate caption and citation. Provide
screenshots of the visuals where appropriate.
COMM2501/5501 Assessment 2, T3 2
Length: 1000 words?(excluding tables and figure captions?– text within tables counts).
References should be in Harvard style, with full bibliography.
Submit your assessment via the Turnitin link on the Moodle course webpage in Assessments section. See below more
information on the Turnitin submission in page 3.
Workload
1.5 hour per module (modules 1-4, total 6 hours)
Assessment criteria
This assignment will be assessed based on the following guidelines
1. Research: choice of data visualisation, justifications, and identification of sources (see also instruction 1)
2. Analysis of visualisation methodologies: analysis and critical thinking (see also instructions 2-4)
3. Conclusion and recommendations (see also instruction 5)