MIS 609 - Transforming Public Data Visual Analysis Assignment

Assignment Task

In groups, apply data analysis and visualisation skills, and create meaningful data visualisations for a public dataset. Then, create a 10-15minutes presentation as a short video explaining the findings of your visual analysis.

Context

In Module 1 and 2, you learnt about Data Visualisation and the associated tool. You have also explored what are the quality issues related to data are. This group presentation gives you the opportunity to select publicly available datasets, transform, perform analysis on it using an industry standard tool, creating visualisations that can enable you to get meaningful insight into what selected data has to offer.

Instructions

Step 1: Form groups of two members each. You may seek help from your learning facilitator.

Step 2: Select a publicly available dataset from the internet.

Step 3: Find out the issues that the selected data has and apply suitable steps to handle the issues.

Step 4: Formulate 4-5 investigative questions that you can answer using your chosen dataset. For example, if you are exploring a sales dataset, your questions may be: - Which product made the most profit in a particular month? Or which region made most sales of a particular product sub- category in a given year?

Step 4: Analyse selected data using the selected tool and try creating meaningful visualizations that answer the above questions and provide visual insights into the data.

Step 5: Based on your analysis using visualisations, identify important finding about that data.

Step 6: Carefully identify your limitations.

Step 7: Now create a Microsoft PowerPoint presentation having the following sections: Section1: Selected Dataset:

• Provide a link to
• Explain why you selected this
• Explain how you handled data
• Describe your data with key variables and their data

Section 2: Aims and objectives:

• List your aims and the investigative questions (see step 4 above) that you answered by analysing your chosen dataset.

Section 3: Visualisations (Diagrams):

• On every PowerPoint slide, copy a diagram (visualisation) and above every diagram state the objective and beneath every diagram briefly explain what information/knowledge you obtained from the chart. Make as many PowerPoint slides as you want to.
• The visualisation should include dashboard(s) with multiple charts, conveying
• In the video recording, it is expected that students show the functionality of the charts and dashboards from the visualisation tool window rather than just adding screenshots in the presentation .

Section 4: Findings and Limitations:

• Explain what your findings are about the selected data as a result of data analysis (/ visualisation) that you have performed.
• Enlist your

Section 5: Group Work Distribution:

• Categorically explain how work was distributed between group

Using the PowerPoint, create a video presentation in which your facilitator should be able to see you as well as the PowerPoint slides in the video. Please note that this 10-15-minutes video is like an online presentation. Both members of the group should take part in the video equally.

This It Computer Science have been solved by our PhD Experts at My Uni Paper. Our Assignment Writing Experts are efficient in providing a fresh solution to this question. We are serving more than 10000+ Students in Australia, the UK, and the US by helping them to score HD in their academics. Our Experts are well-trained to follow all marking rubrics and referencing styles.
Be it a used or new solution, the quality of the work submitted by our assignment experts remains unhampered. You may continue to expect the same or even better quality with the used and new assignment solution files respectively. There’s one thing to be noticed you could choose one between the two and acquire an HD either way. You could choose a new assignment solution file to get yourself an exclusive, plagiarism (with free Turnitin file), expert quality assignment or order an old solution file that was considered worthy of the highest distinction.