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Students should publish a Tableau Dashboard on Tableau Public The end-product must be a Story

INSTRUCTIONS TO CANDIDATES
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Description

Dear Participants,

Please find the project details:

Final view:

Students should publish a Tableau Dashboard on Tableau Public The end-product must be a Story

There is no maximum limit on the number of pages or a combination of dashboards pages used for the story if it is relevant to the story

Submission:

 

Present an executive summary in the form of a presentation and use it to showcase key findings

Add the URL to the Tableau Dashboard (on Tableau Public) at the end of this executive summary.

To learn how to publish your tableau file on Tableau Public, you can refer to this and this. Please use the following dataset- Car_Claims_Insurance

Note: The URL you submit under Website URL should start with public.tableau.com. (Any URL starting with online.tableau.com will not be graded as the evaluator will be unable to access such links without your personal tableau credentials)

 

Any assignment found copied/ plagiarized with another person will not be graded and marked as zero.

Please ensure timely submission as a post-deadline assignment will not be accepted. Upon clicking the URL, please ensure the first page of the story appears as the default view

Additional things to note about the project-

 

This DVT project falls into the bucket of open-ended problems and a specific problem statement has not been given intentionally. It is expected of students to explore the data and come up with good insights. There is no right and wrong answer here. There should a clear logical story which should come out of their submission.

Grading Criteria

 

1. Insights/Findings (25%)- Clear set of insights from the analysis and the corresponding business recommendations towards business objectives

2. Story layout (25%)- A clear storyline from the analysis, which is structured, logical and, addresses a specific purpose and audience.

 

3. Usability/Elimination of Visual Clutter (25%) - Do ensure your visualizations are interactive (Use of filters Parameters, Actions etc) and the overall view contains minimal clutter (Appropriate selection of Colours, size, tooltips, emphasis more on data-ink vs non-data ink).

4. Appropriate chart / Table selection (25%) - Your selection of charts needs to aid in cognition. It should be easy for a consumer to understand the insights from them.

 

(5/5)
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