- September 11, 2020
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 Submit Assignment 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 Home Announcements Subject Overview Modules Assignments Discussions Grades Zoom Lecture Capture Enrolment Change Log Media Gallery My Media External User Tool Account Dashboard Subjects Groups Calendar Inbox LMS support Communities Library Study skills 38 unread messages.38 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).