Overview

The Brief

You have been given a rich data set containing information about various aspects of society in London,recordedathighspatialresolutioninthe2021UKCensusofpopulation.

Youmustuseyourskillsin,andknowledgeof,visualizationto

1. explorethedatasetfindinginterestingfeaturesofsocietythatarecapturedbythedata inthepartsofLondononwhichyouhavebeenaskedtofocus;

2. communicateyourfindings through excellent data graphics that use visualization to show these features effectively and an associated commentary that supplements the visuals;

3. explainyourprocessbydocumentingdesigndecisionsandyourlearninginlightofthe theory, principles and guidelines that you have studied for informing visualization design;

You should be looking tofind differences,detect trendsandcompare placesin the part of Londonthatisyourfocus,inwaysthatcharacterisearangeofaspectsofsociety.

You will then need to design revealing graphics that communicate these findings effectively, describe and explain them and to reflect on the process.

Thismustbeachievedthroughyouruseofthesoftwarewehavebeenworkingwithduringthe modulethegraphicsmustbecreatedinandexportedfromTableauDesktopandsome structureddocumentation.Youwillbecreatingadashboardin Tableau and should use your growing knowledge of graphical design and the nature of society in London to inform the work.

TheData

The data set consists of more than 70 variables recorded in the 2021 UK Census of Population. While collected at household level, the data have been aggregated to Lower Super Output Areas (LSOA)forthisanalysisandvisualizationexercise.Londonhasjustunder5,000LSOAs,butyou havebeenallocatedanindividualfocusapersonalGeographicSubsetofthesebasedona small number of adjacent boroughs. You must focus your worksolelyon the LSOAs contained in your uniqueGeographic Subset those in the boroughs you have been allocated. Please focus on the variation across and within the areaat LSOA level by designing effective data densegraphics that show local detail and nuance rather than high-level borough-based comparisons.

IgnoretheboroughsotherthanasameansofidentifyingyourGeographicSubsetofLSOAs.

The data are available as aTableau Packaged Workbook(TWBX)on Moodle. You will need to download the workbook,filterit to show the LSOAs in the boroughs that are in yourGeographic SubsetandusethisasthebasisofyourvisualizationinTableau.Rememberthatyourexploration andyourgraphicsmustonlyinvolveandshowLSOAsthatareinyourGeographicSubset

• theregionthatyouhavebeenFocusonthedetail,theLSOAs,nottheboroughs.

TheItems

Youwillneedtosubmitthreeitemsas described below and in the formats specified :

1. DASHBOARDaSingleStaticImageofaDashboardcreatedinTableau(PNG)

This must contain your annotated graphics in a single Tableau dashboard these are yourDesigns for Visualizing Society in London. This series of annotatedstaticgraphics must present information established through your visual exploration in ways that show complexity with clarity.

Thedashboardmustbeoflandscapeorientationandsizedatexactly-1600*900pixels.

CreateaPNGofyourdashboardwithDashboard/ExportImage/PortableNetworkGraphics(*.png)Rememberthatthisisastaticimagesoitcannotrelyuponanyinteractionordynamicfeatures suchastooltips,filtering,mouseover,highlighting,etc.Imaginethatyouwillbeprintingitouton paperforuseasaposteranddesignyourdashboardwiththisconstraintinmind.

1. COMMENTARYDescription,Encodings,Decisions&Reflection(OnlineText) A short script, to be read when viewingthe Tableau dashboard. The markers will read this as they view the dashboard. The script must consist offoursections, each of no more than 250 words :

2. yourdescription in which you explain what you have discovered about society in London.It should make direct reference to the graphics and any labels and annotations that you have added to help with your visual explanation. It should comment on the important features in the graphics that support these findings. Remember that you have been askedtofinddifferences,detecttrendsandcompareplaces.Yourdescriptionshouldaddress these characteristics directly so here is where youpoint them out. Imagine you arereading this commentary out to the markers as they look through the dashboard this is your chance to describe what you have found, the narrative that you add to the graphics;

3. yourencodings in which you describe the encodings and explain how they are effective. Youmustexplicitlyselectoneofthegraphicsinyourdashboardanddrawonthe guidance given by authors such asRoth(see theVariationtest) andMunzner(remember her rankings?) in your explanations. The graphic you select must bedata denseandrelationalshowing information forall LSOAsandmorethanonevariablewhile also representingmorethanoneaspectofsociety.Sochoose,designandexplaincarefully!

4. yourdecisions in which you identifythreeof theDesign Tests for Data Visualization theHeurVIStics- and explain whether they have been achieved in your graphics. You must explainhowifthetestsarepassed,andwhynotiftheyareSelectoneortwoof your graphics as examples to show that the tests can be usefully passed to help visualize society, but also that there are circumstances when effective design involves failing them, for good reason. Your considered selections of the tests and the graphics will be key to doing well here. This is a great place to show your knowledge of the complexity of design and that you are aware of this and can still make informed and effective design decisions.

5. yourreflectioninwhichyouexplainhowyouhavevisualizedsocietyin It should outline your approach to visualization and discuss the most important principles, decisions and challenges involved in the exploration and design and how these have shaped your work and your knowledge:Whatwasstraightforward?Whatwaschallenging?Whathaveyoulearned?Where did the theory help? Where was the theory difficult to apply? Here is where you show your knowledge of visualization for exploration & communication. You may decide to focus on specific graphics in the dashboard and must comment on any difficulties, solutions and learning achieved. This is the place to show how your knowledge informed, and was informed by, your experience. Be sure to relate the theory that youhave learned to your practical experience of visualizing society in light of your understanding of the data as it developed;

6. Create the text for your commentary in a word processor or text editor. Complete a thorough spelling and grammar check, then copy and paste the text into the online text box in the Moodle submissionarea.Besuretoaddspacesafterallfullstops.Useblanklinestoseparateparagraphs, with two blank lines separating each of the four sections. Do not use any other formatting such as tables, indentation,bullets, emboldened text or italics this will not be captured. Markers will usea screen-reader to automatically read the script aloud as they consider the dashboard.

The dashboard (that we see) and the commentary (that we hear) should match up, with the commentary provided in the online text referring to annotated graphics and specific features in the dashboard. When writing the text, imagine that you are describing the dashboard to the marker in a presentation the label on the left shows, the cluster by the river suggests.

3. PDFReferences(PDF)

A one-page document that contains full references to any work cited in the submission. This document must be in PDF format, with a minimum font size of 10pt and must only contain references no additional text. Anything other than references will be ignored1. Please provide full references to all cited sources using Harvard, APA or an appropriate established alternative.

1 No title or contents pages please, unless you have been diagnosed with a Specific Learning Difference by Learning Success at City University. In this case, please add an additional title page with a yellow sticker that informs markers of your condition and any allowances. In such cases, we will accept a 2-page PDF submission rather than the single page.

TheSubmission

All items must be submitted via Moodle before the deadline specified in the submission area. Check the time and date on Moodle this is definitive!

Latesubmissionswillnotbemarked.A mark of zero will be returned in such cases other than where the Universitys procedures for reporting extenuating circumstances have been followed andtheBoardofAssessmenthasacceptedanysuchcircumstances.Youarestronglyadvisedto checkthesubmissiondeadlineonMoodleimmediatelyandtosubmityourworkwellbeforeit.

You may submit work well in advance of the deadline and update this subsequently with revised submissions as you improve upon your work through reflection and redesign before the deadline. This is an effective way to develop your submission and is often regarded as good practice.

We will only see and mark the final submission. So, submit a banker early on, then build on this.

Work is only considered submitted if a readable digital copy has been completely uploaded through Moodle before the submission area closes, using the appropriate assignment mechanism. Neither paper submissions nor files sent by e-mail are accepted.

AllsubmittedworkwillbeanalysedusingtheTurnitinplagiarismdetectionservice. Where academic misconduct is deemed to have occurred a mark of zero will be returned.

Wherepooracademicconductisdeemedtohaveoccurredmarkswillbereducedaccordingly.

Submissions will not be marked if they are late or in a format other than that stated here.

IndividualWork

This is an individual piece of work and you are each working on different regions of London as listed in theGeographic Subseton Moodle in the Task 2 assessment area.

You are welcome, and even encouraged, to support each other with general help in thinking about graphics, data, the reading that you complete to inform your approach and theDesign Tests for Data Visualization. However, you must not share yoursolutionswith other students.

So please discuss concepts, ideas and graphics in broad terms rather than in relation to the specificsolutionsthatyouaredevelopingforyourcoursework.Youeachhaveseparatedatasets with separate patterns, and we expect a variety of very different solutions to be submitted.

Accusations of academic misconduct (collusion) may arise if individual solutions or submitted work are discussed or shared.

Marking

The exercise is intended to allow you to show that you have achieved the intended module learningoutcomesasdescribedintheModuleOverviewonthemodulehomepage.

Youshouldcheckthesecarefullyandregularlywhenplanningandworkingonthisexercise.

Marks will be awarded according to the rubric provided on Moodle look for this icon. Be sure to check the criteria and levels of achievement expected for the different grades. This should inform you in developing your solutions and planning your work.