程序代写 PDOC2012/254&RendNum=0) .

Assignment 1
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Details Context
This assessment will examine the student¡¯s understanding of the data types and the fundamentals of Data Visualization. In particular, students are asked to write a short report (up to 8 pages using this template (https://edstem.org/au/courses/16881/resources?download=18112) ) on ¡°How would you visualize your data?¡±
Topic: How would you visualize your data? Preparation:
To start your assignment, you first need to select the data you wish to visualize. These data might be from your previous studies, data from your work, any research project or some data you’ve obtained from elsewhere as long as your data contain at least 5 attributes (columns) with at least 3 different data types.
In your report, you are asked to describe and argue with appropriate references:
1. The nature of the data: what do those data represent/describe? how were they originally collected? (This is not asking where ‘you’ obtained this dataset from.)
2. Who are the consumers of such data? Why did they need this dataset? How are they using this dataset?
3. How are those data typically depicted or conveyed to those audiences? Present your explanation/argument with respect to data types and why the
data needed to be visually represented in a certain way.
4. What sort of questions are asked and answered through such typical visualization you¡¯ve mentioned in #3?
5. What might be typical mistakes people make in depicting those data?
6. How would YOU visualise those data differently? Using the symbolic representations from Semiology of Graphics, describe and explain how you
would define the imposition of your visualisation, and how you would assign each data type to various visual variables.
7. Provide a sample of your visualization derived from the symbolic representation from #6. (You can use any visualization tool to create your
visualization or you can provide hand sketches).
8. Explain how you derived your visualisation in #7 from the symbolic representation in #6.
9. Derive an equivalent but different symbolic representation of your answer from #6, and explain the equivalency. Simply reallocating different data
elements to the different axis/visual variables within the same symbolic representation will not attract any marks.
10. Provide an example of your alternative visualization derived from the symbolic representation from #9, and describe/explain how you assigned
each data type to be used for the axes and various visual variables. (You can use any visualization tool to create your visualization or you can provide hand sketches).
Academic Integrity:
This is an individually assessed assignment and you are not allowed to collaborate with your colleagues. If you use any external sources (journals, books, articles on the internet, etc) other than the material provided in the course, you must provide adequate/appropriate references/citations. For more details on Academic Integrity, please refer to the week 1 lecture. Your submission will be checked for plagiarism against external materials, and other students¡¯ assignments (including past assignments) using TurnItIn).
The use of Generative AI tools:
The use of Generative AI tools to create any content included in your report is prohibited. The use of digital tools including Generative AI tools is permitted for the purpose of improving your English or proofreading. If you used any digital tools including Generative AI tools, you must provide appropriate citations/references describing the source and how it was used. You also need to keep records of the prompts you have used and the output you received from the digital tools. You may be asked to provide such records to validate the attribution of your work. Failing to provide the required record may result in being reported to the academic integrity case and facing potential disciplinary actions.

Submission:
Write your report (up to 8 pages) using this template (https://edstem.org/au/courses/16881/resources?download=18112) . We use this format and set the maximum page number in order to make the amount of work presented and processed by the markers consistent across all students. Not complying with the provided template will result in a reduction of 5 marks.
Use this Canvas site to submit your report in the form of a PDF file, so that it can be checked using Turnitin.
The due is 13 Sep 2024 23:59.
Academic integrity
While the University is aware that the vast majority of students and staff act ethically and honestly, it is opposed to and will not tolerate academic integrity breaches and will treat all allegations seriously.
Further information on academic integrity, and the resources available to all students can be found on the academic integrity pages on the current students website: https://sydney.edu.au/students/academic-integrity.html (https://sydney.edu.au/students/academic-integrity.html) .
You may only use generative artificial intelligence (AI) and automated writing tools in assessment tasks if you are permitted to by your unit coordinator. If you do use these tools, you must acknowledge this in your work, either in a footnote or an acknowledgement section. For information on acknowledging AI please refer to the guidance in the AI in Education Canvas site (https://canvas.sydney.edu.au/courses/51655/pages/acknowledging-and-referencing- the-use-of-ai?module_item_id=2027096) .
We use Turnitin, which includes AI detection, to detect potential instances of plagiarism or other forms of academic integrity breach. If such matches indicate evidence of plagiarism or other forms of academic integrity breaches, your teacher is required to report your work for further investigation.
Further information for on research integrity and ethics for postgraduate research students and students undertaking research-focussed coursework such as Honours and capstone research projects can be also be found on the current students website: https://sydney.edu.au/students/research- integrity-ethics.html (https://sydney.edu.au/students/research-integrity-ethics.html) .
Compliance statement
In submitting this work, I acknowledge I have understood the following:
I have read and understood the University of Sydney’s Academic Integrity Policy (https://sydney.edu.au/policies/showdoc.aspx? recnum=PDOC2012/254&RendNum=0) .
The work is substantially my own and, where any parts of this work are not my own, I have indicated this by acknowledging the source of those parts of the work and clearly indicated any quoted text by quotation marks or indentation according to accepted style standards.
I have acknowledged any assistance provided in preparing the work including the use of copy-editing, proof-reading, and automated writing and drawing tools (including artificial intelligence (AI), reference generators, translation software, grammar checkers, but not spell checkers).
The work has not previously been submitted in part or in full for assessment in another unit unless I have been given permission by my unit of study coordinator to do so.
The work will be submitted to similarity detection software (Turnitin) and a copy of the work will be retained in Turnitin’s paper repository for future similarity checking.
Engaging in plagiarism or academic dishonesty in coursework will, if detected, lead to the University commencing proceedings under the Academic Integrity Policy. (https://sydney.edu.au/policies/showdoc.aspx?recnum=PDOC2012/254&RendNum=0) and the Academic Integrity Procedures (http://sydney.edu.au/policies/default.aspx?mode=glossary&word=Academic+honesty) .
Engaging in plagiarism or academic dishonesty in research-focussed work will lead to the University commencing proceedings under the Research Code of Conduct (https://sydney.edu.au/policies/showdoc.aspx?recnum=PDOC2013/321&RendNum=0) and the Academic Integrity Procedures (http://sydney.edu.au/policies/default.aspx?mode=glossary&word=Academic+honesty) .
Engaging another person to complete part or all of the submitted work will, if detected, lead to the University commencing proceedings against me for potential student misconduct under the University of Sydney (Student Discipline) Rule (http://sydney.edu.au/policies/showdoc.aspx? recnum=PDOC2017/441&RendNum=0) .
You are advised to keep copies of your assignment submission, drafts and any other research materials as evidence of your research and writing process. If you have used AI in the completion of your assignment, you should keep copies of the AI outputs.
View Rubric
Understanding Data Types and Semiology of Graphics
Criteria Ratings Pts

Understanding Data Types and Semiology of Graphics
Criteria Ratings Pts
1. Understanding Data
view longer description
2. Understanding Audience
view longer description
3. Understanding Data Types
view longer description
4. Understanding Visualisation
and Associated Questions / 1 pts view longer description
5. Understanding Bad
Visualisation. / 1 pts view longer description
6. Understanding and using
the Semiology of Graphics / 4 pts view longer description
7. Implementation of
Visualisation / 2 pts view longer description
8. Implementation of symbolic
representations / 3 pts view longer description
9. Using the Semiology of
Graphics / 3 pts view longer description
10. Application of the
Semiology of Graphics / 3 pts view longer description
Total Points: 0
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