Task

This iterative portfolio task will encourage you to build a professional portfolio of data visualisations using storytelling methods critical to contemporary data visualisation practice. You will explore a chosen data    set using analytical techniques learned from the labs to produce data insights. You will refine your              visualisations into a data story, which will be presented in a professional blog format.

In this assessment you will gradually build a data story using techniques in data analysis and visualisation that you have learned through the term.

By the completion of the assessment you should have a professional portfolio to present to colleagues and potential employers.

This is a thematic task, in which you will be assessed for your ability to create a compelling data story. You will be asked to choose your theme and dataset by the end of week 6.

Theme selection is as follows:

• You may use the provided theme and data sets suggested on the A3: Datasets examples page on Moodle in Assessments section.

• Or, you may choose a theme and data set of your own devising, provided that you have chosen and explored the dataset by the end of week 6 (you need to make sure that the dataset you want to choose is not too complicated/dirty; you are responsible for the cleaning of the dataset; you    should not underestimate the amount of extra work it could be to deal with messy data).

You should apply analytical and visual techniques learned from the labs and UX design modules to progressively explore your dataset. Your data story may not reveal itself until you have spent a      considerable amount of time analysing data through numerous techniques.

Instructions

1. Your final assessment must be presented as a Powerpoint (PPT) as if you were presenting the   findings to your manager at work. The slides should be stand alone and tell a story about the data and insights you have learned.

2. The visualisations describe a data story on your chosen theme.

3. There is no set number of visualisations you must use, but you must employ enough methods to compellingly illustrate your data story.

4. You may use any analytical methods available to you but must be guided by the principles of data story telling.

5. You must cite your sources, use your own words and/or make explicit what is not your own work (e.g. you can include images if this could support your work but cite the sources).

6. This is individual work.

See also the assessment rubric below.

Supporting resources

The successful completion of this assessment task is supported by the required weekly training in R and Tableau labs. This assessment evaluates your understanding of these platforms and your           competency with them. The required labs provide comprehensive training necessary to complete   the task. You can choose to R or Tableau to create your data visualisations. If you choose to use       Tableau for your data visualisations, you will have to do extra research in order to incorporate your Tableau data visualisations.

The following (non-exhaustive) listed supporting activities provide direct training for the production of data visualisations. Completion of these supporting activities will comprehensively prepare you   for the task.

Supporting activities:

1. R labs

2. Tableau labs

3. Wireframe tutorial

4. UX design tutorials

Submission guidelines

Submit your assessment via the Turnitin link as per the submission template available on the Moodle course page in Assessments section. See below more information on the Turnitin submission.

Workload

1-2 hours per week (up to a total of 20 hours)

Assessment criteria

This assignment will be assessed on the following guidelines:

• Data analysis: data description, data interrogation and methodological curiosity

• Data storytelling: ability to weave a narrative based on data

• Design: effectiveness, simplicity and useability of visualisation to convey message

Assessment rubrics

See rubric below.