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日期：2021-11-25 09:59

Coursework 1: Design case study

(worth 25% of your final module grade)

Introduction

This coursework based on Stage 5 of the Five Design Sheet methodology for designing visualizations. The objective is to assess your ability to analyse data and create effective visualizations.

You must do the coursework individually – consultation is acceptable, but plagiarism is not!

Your audience wants to understand the behaviour Netflix’s audience. A copy of the dataset is provided on Minerva with this coursework. Details about the data are available from https://www.kaggle.com/vodclickstream/netflix-audience-behaviour-uk-movies.

ItemChecklist

OverallTitle, structure, layout

GraphicsDoes each chart have a caption, and only one caption!

Is the chart type appropriate?

Are the axes are labelled?

Is the visual encoding appropriate?

Is the colour/contrast good, and appropriate for a general audience?

Should there be a legend?

Text & labels11pt font (or larger)

Have you checked the spelling & grammar?

Clarity of exposition

Table 1: Technical correctness checklist.

Task A: Mini ideas [12 marks]

Sketch four “mini ideas” that show overviews of the dataset. The mini ideas may be neatly hand-drawn or created with a visualization tool, and do not have to contain real data.

?The mini ideas must be numbered 1 – 4.

?The mini ideas must be shown together on a single, landscape-format A4 page.

?Each mini idea must:

oUse a different type of chart type, map (see “Types of visualization, data and chart” lecture) or network layout (see “Network visualization” lecture).

oHave a caption that makes it obvious how the mini idea relates to the data and provides an overview that aids your audience’s understanding.

oIs technically correct (see Table 1).

Task B: Dashboard [13 marks]

Create an A4, landscape-format dashboard that provides detailed insights into Netflix’s audience behaviour, placed in context via an overview. You may use any software packages to create the dashboard, which must be camera-ready (i.e., polished, with attention paid to all details). You must use real data from the dataset. Marks will be awarded for:

?The insights the dashboard provides, though visualizations and textual annotations [8 marks].

?Technical correctness (see Table 1) [5 marks].

Submission procedure & deadline

Your submission should comprise a coursework header sheet and only 2 other pages (one for each task). The submission deadline is 10am on Friday 26th Nov 2021. Late submissions will be penalised in accordance with departmental guidelines.

Roy Ruddle, October 2021