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Data Visualisation and Interpretation Must use the Harvard Referencing method

Computer Science

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Data Visualisation and Interpretation

Must use the Harvard Referencing method.

Part 1 - Poster Presentation

Maximum word count: 3,500 words equivalent (excludes numerical data in tables, figures, diagrams, footnotes, reference list and appendices).

In this assessment, you will have the opportunity to present the data from a given dataset in the form of an A0 poster and a written presentation deck (with speakers notes).

You should submit the following:

• A0 Poster - The template for the poster should be a PowerPoint slide set to A0 size (841 x 1189mm). All the required information should be displayed on the slide and once the presentation has been completed it will require exporting to PDF.
• Presentation with speakers notes - You could use the slides’ notes to write your written presentation Deck or even use Word document format.

You are required to upload the poster and the written presentation deck (with speakers notes) as one document.

Question:

A large group of education providers wish to improve the way that they use email. A survey has been undertaken to understand the email usage habits within the group. You have been tasked with creating a poster presentation for senior management to help justify the development of a new training plan to improve email use.

Prepare an A0 poster for the dataset “Emailsurvey.sav” in Excell. You will then be required to present your poster during a 10-minute Adobe presentation to highlight the key points of your poster.

 

Part 2 – Critique

Maximum word count: 1,500 words

The communication of data through visual means is a subjective process. It is up to the presenter to help the audience to fully understand what is being shown, especially where they are not subject specialists. In this assessment, you will have the opportunity to critique the data presentation of another student to demonstrate your understanding of how to effectively communicate data.

Question:

You will be provided with a copy of the poster along with either a recorded data presentation or a presentation deck, of another student on the programme. Applying the theory that you have learnt, evaluate the methods used in terms of how well they communicate the data within the given context and evaluate the effectiveness of the data visualisation choices.

The evaluation of the work of others is not based upon your own preferences. Wherever you offer praise or constructive criticism you must support your points effectively with established theory. You are being assessed on your ability to evaluate the data presentation and your critique will not affect the grade allocated to the student whose work you are evaluating. The quality of your evaluation will contribute only to your own work.