This exercise involves you working with a dataset of your choosing. Visit the ( website, browse through the options and find a dataset of interest, then follow the simple instructions to download it. With acquisition completed, work through the remaining key steps of examining, transforming and exploring your data to develop a robust familiarisation with its potential offering:

Examination: Thoroughly examine the physical properties (type, size, condition) of your dataset, noting down useful observations or descriptions where relevant.


Q1. What could you do/would you need to do to clean or modify the existing data to create new values to work with?

Q2. What other data could you imagine would be valuable to consolidate the existing data?

Exploration: Using a tool of your choice (such as Excel, Tableau, R) to visually explore the dataset in order to deepen your appreciation of the physical properties and their discoverable qualities (insights) to help you cement your understanding of their respective value. If you don’t have scope or time to use a tool,

Q3.use your imagination to consider what angles of analysis you might explore if you had the opportunity?

Q4. What piques your interest about this subject?

Note: Please make sure to write 100 words for (Q1 -Q4) in APA format.

According to Kirk (2016), The essence of “Formulating Your Brief” is to “identify the context in which your work will be undertaken and then define its aims: it is the who, what, where, when and how.” It could be formal or informal as any project you think you must make it. This phase is where you create a vision or plan for your work (p.63). Kirk, A. (2016). Data Visualisation: A Handbook for Data Driven Design. Thousand Oaks, CA: Sage Publications, Ltd.

Q5. Why is it so important to formulate your brief for a data presentation? Discuss some ways/things you would do to formulate an effective brief. What are some advantages to your methods? What are some disadvantages?

Note: Please make sure to write 200 words in APA format with atleast 2 in text citations.