Assignment 2 : Data Visualisation with Tableau
https://canvas.lms.unimelb.edu.au/courses/89108/assignments/119454[2020/9/10 16:20:08]
GEOM90007_2020_SM2 Assignments Assignment 2 : Data Visualisation with Tableau

Assignment 2 : Data Visualisation with
Tableau

Due Sunday by 22:00 Points 100 Submitting a file upload
File Types twbx, pdf, and txt
Available Aug 21 at 8:00 - Sep 13 at 23:59 24 days
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View the Assignment 2 introduction video
Clarifications/corrections are highlighted in blue. Please also check the
Assignment 2 discussion forum for additional clarifications.
Objective
1. To produce an interactive dashboard with Tableau to enable interaction
with data that supports your clear and valid data story;
2. To use the techniques, principles and software learned during the subject
and lab sessions;
3. To show your ability to think broadly and get information from a big data
set using visualization techniques.

In a nutshell...
Imagine you started working in VicRoads as a data visualization expert.
Your manager shares the following data set with you and asks you to
visualize this data set and let us know what we need to do to reduce the
number (social cost) of crashes. Think broadly about various scenarios and
implement one of them in Tableau. Innovative and interesting results will get
bonus. Please note this is an individual assignment.

Context
Your task is to design and produce an interactive dashboard that tells a story
about a public data set of crashes in the last five years in Melbourne from
VicRoads, available here: https://discover.data.vic.gov.au/dataset/crashes-
last-five-years
It seems there are some problem with the link above. You could use the
following links to download the data in different formats:
GeoJSON: Crashes_Last_Five_Years.geojson
CSV: A2_Crashes_Last_Five_Years.csv
Shapefile (ZIP): A2_Crashes_Last_Five_Years.zip
You need to explore the content of the data set and display the data
graphically using the core principles of interaction design, data graphics and
cartography you have learned during the subject. Your dashboard should
contain at least one graphical representation (e.g. a map, graph, chart,...)
that fills the screen space and has some form of interaction. The dashboard
must communicate a clear message about your data to help VicRoads
reduce the number (social cost) of crash.
This is your based on your creativity to bring the story and what can be
achieved. For complex, you may need to combine more data sets. We
brought some ideas here to give you some hints. You can consider these or
bring your own idea to process and visualize the data set:
Who are the most vulnerable drivers? and what is the relation of the
location of these crashes with the median price of houses?
2020 Semester 2
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Assignment 2 : Data Visualisation with Tableau
https://canvas.lms.unimelb.edu.au/courses/89108/assignments/119454[2020/9/10 16:20:08]
The relation of these crashes with the location of liquor shops?
The relation of casualties with the location of hospitals?
In which seasons we have more crashes? You might be able to receive
data from Bureau of Meteorology and integrate that with this data set to
identify the relationship of crashes with different weather conditions.
Analyse the cost of injury and fatality (social cost of crash) and in which
areas these are higher and why?
In which areas VicRoads need to invest further to reduce the social cost
of crash? What is the recommendation for VicRoads or the government?
Is it related to a specific location like a junction? or training is required for
drivers?
Integrating information about rest areas and if rest areas can help reduce
the risk of accidents specially for heavy vehicles?
Integrating datasets from Australian Bureau of Statistics regarding
unlicensed and hit and run accidents with this data set and analyse the
relation?
Where VicRoads does need to improve the routes to avoid bicycle
accidents and injuries by including bicycle routes and bicycle accidents
and injuries?
Find a data set for heavy vehicle restricted areas and identify the relation
of this data set with heavy vehicle accidents?

Note, the focus of this assignment is to create an interface (dashboard) to
present the data set in your chosen method. You are not expected to perform
any in-depth data modelling, although data selection will be an important part
of the design process to ensure that only relevant data is available to the
user.

Details
This exercise is to be completed individually in your own time.
Refer to the available online resources and build upon these to design and
create your interface. For help with Tableau use the links provided in Lab 4.
Remember to assess your data graphic critically with reference to the
principles of interaction design, as well as cartography and data graphics
learned in the course, and iteratively redesign your map to improve it.
The assessment is worth 20% of your final subject mark.
You must submit through Canvas:
A Tableau Packaged Workbook (.twbx) file exported from Tableau
using the File > Export Packaged Workbook command, containing
one dashboard, zero stories, and any number of worksheets as
required;
A PDF file containing the following:
A one-page summary of your design,
An appendix that clearly describes all of the sources used in your
design.
The degree to which your interface ranges from presentation to exploration of
the data set is up to you. This is addressed in terms of technical and design
innovation in the Assessment Criteria below.
In your one-page summary, you are free to provide extra information about
your design to highlight any background work, or to assist the user in
understanding and/or using your interface.

Data:
You must use the Crashes_Last_Five_Years data as your primary data set,
which can be downloaded from Data Vic Gov page, refer to links below:
https://discover.data.vic.gov.au/dataset/crashes-last-five-years
You may incorporate additional datasets if they suitably support the
Assignment 2 : Data Visualisation with Tableau
https://canvas.lms.unimelb.edu.au/courses/89108/assignments/119454[2020/9/10 16:20:08]
interface's purpose.

Deadline:
The submission deadline is on Sunday 13 Sep 2020 at 10:00 pm sharp. No
late submissions will be accepted. This means submissions after the
stated deadline will not be marked and will receive a mark of zero.

Assessment Criteria
The key assessment criteria are (out of 100%):
Submission and design summary (10%):
The submission conforms with all the submission criteria above,
the Tableau interface works when run on the marker’s machine,
and
the design summary effectively summarises the interface and
explains design choices, and is itself well-designed.
Basic design (40%):
The interface conforms to fundamental design, data graphics and
interface design principles (and cartographic principles if relevant)
covered in lectures/practicals, and
is well-presented with evidence of care and attention to detail.
Technical challenge (25%): Thinking beyond the tutorial, i.e.,
the interface relies on new or different Tableau techniques not
encountered in class;
uses data that required new techniques to use or additional effort
to resource; and/or
demonstrates clear evidence of advanced and independent work.
Design innovation (25%):
The interface involves design elements that are innovative (i.e.,
beyond standard elements that were covered in class);
reveals interesting or meaningful patterns;
is notably aesthetically pleasing or striking;
demonstrates independent background research into the research
literature;
and/or existing demonstrates clear evidence of original thinking
and advanced understanding of graphic design principles.
As a guide to grade-related criteria:
<50: Inadequate work that in one or more respects fails to meet basic
technical standards or apply basic design principles.
50-60: Satisfactory work that is a correctly submitted basic interface to the
data for presentation purposes using basic visual variables.
60-70: Good work that involves marginal additional technical challenge
such as increased interactivity (e.g. displaying multiple data layers),
marginal design innovation and moderate levels of design quality.
70-80: Excellent work that involves clear additional technical challenge
such as greater interactivity (e.g., tools allowing the user to explore the
data set) or design innovation, and high levels of design quality.
>80: Outstanding work that demonstrates substantial additional technical
challenge, substantial design innovation, flawless design, and involves
work that clearly goes beyond that normally expected in class.

Hints
Think carefully about your use of visual variables. These have been key
discussion points in many lectures.
Be sure to use necessary elements in your interface design.
Review Tableau examples to help with your interface.
Your summary and interface must be carefully designed. If your interface
Assignment 2 : Data Visualisation with Tableau
https://canvas.lms.unimelb.edu.au/courses/89108/assignments/119454[2020/9/10 16:20:08]
Assignment 2 Rubric 2020
Criteria Ratings Pts
requires a page of dense text to explain, it is unlikely that the interface
itself is well-designed and intuitive. Thus, it is not recommended that you
use the design summary for more than the briefest explanation of how to
use your interface.
Note, your design summary will be assessed in part based on its
own design. You should take care to ensure the design summary is
carefully presented with attention to detail. For example, you may prefer
to simply have a diagram as your design summary, instead of text.
It is recommended to visualize only selected attributes from your data, not
the whole data set.
Note, there are many options to visualize the given data set. You are
welcome to reuse existing ideas (with adequate acknowledgments, see
the section on Plagiarism below). However, the highest marks for this
assessment can only be accessed if your interface demonstrates
significant design innovation.
Spelling and grammar are part of the assessment. Your design summary
and interface should exhibit attention to detail, and should be free of
errors.
There are many Tableau examples and resources available online. You
can see some of them here for your information.

Plagiarism
Plagiarism is copying and use of another’s work without proper
acknowledgment. The university has a clear policy prohibiting any form of
plagiarism. Further information can be found
at: https://academicintegrity.unimelb.edu.au/
Note that it is acceptable to reuse ideas you have found on the web as long
as the source is clearly acknowledged, and that use is permitted by any
license restrictions. If properly acknowledged, using other people's code and
ideas can count as independent background research (see grade related
criteria above). If not properly acknowledged, using other people's code and
ideas is plagiarism and will result in a mark of zero for this assessment. In
serious case of plagiarism may also result in failure of the entire subject and
further University disciplinary action.
In short: you must clearly acknowledge any material that you used in
your submission within your appendix.

Coda
Created by Davood Shojaei, based on earlier work by Matt Duckham.
Licensed under a Creative Commons Attribution 3.0 Unported License .

Plagiarism declaration
By submitting work for assessment I hereby declare that I understand the
University’s policy on academic integrity and that the work submitted is
original and solely my work, and that I have not been assisted by any other
person (collusion) apart from where the submitted work is for a designated
collaborative task, in which case the individual contributions are indicated. I
also declare that I have not used any sources without proper
acknowledgment (plagiarism). Where the submitted work is a computer
program or code, I further declare that any copied code is declared in
comments identifying the source at the start of the program or in a header
file, that comments inline identify the start and end of the copied code, and
that any modifications to code sources elsewhere are commented upon as to
the nature of the modification.
Assignment 2 : Data Visualisation with Tableau
https://canvas.lms.unimelb.edu.au/courses/89108/assignments/119454[2020/9/10 16:20:08]
Total Points: 100.0
10.0 pts
40.0 pts
25.0 pts
25.0 pts
Submission
and design
summary
10.0 to >8.0 pts
Correct
Submitted perfectly.
The design summary
effectively explains
design choices, and is
itself well-designed.
8.0 to >6.5 pts
Mostly Correct
Small issues in
submission. The design
summary explains most
design choices, and is
adequately designed.
6.5 to >4.99 pts
Some Issues
The submission is mostly done
correctly. The design summary
has issues (e.g. too brief,
restates the obvious) and/or is
not well designed.
4.99 to >0 pts
Major Issues
Submission
incomplete.
The design
summary is
very poor or
absent.
Basic
design
40.0 to >32.0 pts
Excellent
Design is
especially neat
and well-
presented.
Interface is
extremely clear. It
is an excellent
example of a
Tableau
dashboard.
32.0 to >26.0 pts
Correct
Conforms to
design, data
graphics and
interface design
principles. All
necessary
elements are
present. Interface
is clear.
26.0 to >19.99 pts
Mostly Correct
Follows essential
design principles
with room for
improvement. A
few elements may
be missing. The
interface's purpose
can be understood
but the interface
may be unclear in
more than one
aspect.
19.99 to >10.0 pts
Flawed
Attempts to adhere
to design principles
but has many
flaws. Key
elements may be
missing. Interface
is confusing.
10.0 to >0 pts
Inadequate
Fails to respect
basic design
conventions or
has severe data
integrity flaws.
Interface is
incomprehensible.
Technical
challenge
25.0 to >20.0 pts
Strong
Challenge
Excellent work.
The interface
uses new or
different Tableau
techniques and
additional data
sources are used
masterfully. Clear
evidence of
advanced
thinking.
20.0 to >16.25 pts
Developing
Challenge
Very good technical
challenge. The
interface uses new
Tableau techniques
and additional data
that adapt to the
needs of the
graphic.
16.25 to >12.49 pts
Minor Challenge
Minor technical
challenge. Some
use of additional
data or new Tableau
techniques, which
are mostly effective.
12.49 to >6.25 pts
Limited Challenge
Limited use of
additional data
sources or new
Tableau
techniques.
6.25 to >0 pts
No Challenge
No technical
challenge.
May be similar
to Lab 4 work.
Design
innovation
25.0 to >20.0 pts
Strong
Innovation
Excellent work.
Design is fresh
and creative yet
highly effective;
interface reveals
interesting or
meaningful
patterns; is
notably
aesthetically
pleasing or
striking;
demonstrates
independent
background
research.
20.0 to >16.25 pts
Developing
Innovation
Good design
innovation. The
interface presents
data quite
creatively and
effectively, and
interesting patterns
are apparent, but
the interface may
need more work to
be totally effective
(for example,
removing non-data-
ink).
16.25 to >12.49 pts
Minor Innovation
Minor design
innovation. Interface
uses design
elements that are
beyond standard
elements that were
covered in class.
12.49 to >6.25 pts
Limited
Innovation
Some rudimentary
design innovation
is apparent, or
attempts at
innovation are not
effective.
6.25 to >0 pts
No
Innovation
No design
innovation.
Default
settings are
used (or so it
appears when
looking at the
interface).