assignment

orangepink
Week01aIntroduction.pptx

Agenda:

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Welcome

An introduction to Data Visualisation

An overview of the course: BUSMGT 708

Preparation for next session

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200 Countries, 200 Years

Source: http://youtu.be/jbkSRLYSojo

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Welcome

An introduction to Data Visualisation

An overview of the course: BUSMGT 708

Preparation for next session

Learning outcomes:

By the end of this session you should be able to:

Define what a data visualisation is

Articulate why we use data visualisations

Outline the 3 main views on data visualisations

Have an understanding of the purpose and structure of the course

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What is Data Visualisation?

Andy Kirk in Data Visualization: A Successful Design Process (2012)

The representation and presentation of data that exploits our visual perception abilities in order to amplify cognition.

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What is a Data Visualisation?

Tamara, Munzner in A Nested Model for Visualization Design and Validation (2009)

Visual representations of datasets designed to help people carry out tasks more effectively.

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Reasons for creating data visualisations

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Almagest

Claudius Ptolemy

150 CE

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Leonardo Da Vinci

1505

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Map of Paris

1575

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Map of Paris

2019

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William Playfair

1786

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John Snow

1854

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Florence Nightingale

1856

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Joseph Minard

1861

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Source:

Edward Tufte

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Why don’t we just use numbers?

https://en.wikipedia.org/wiki/Anscombe%27s_quartet

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Anscombes Quartet

https://en.wikipedia.org/wiki/Anscombe%27s_quartet

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https://journals.plos.org/plosbiology/article?id=10.1371/journal.pbio.1002128

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The Datasaurus Dozen

https://www.autodesk.com/research/publications/same-stats-different-graphs

Reasons for creating data visualisations

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Record information

Explore data

Prove hypotheses

Communicate ideas

Views on Visualisation

Visualization

Real World

Source: van Wijk (2005)

Tech perspective

aim for provable effectiveness and efficiency

Science perspective:

aim for generic laws with predictive power

Art perspective

aim for elegance and beauty

Technology

Science

Art

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Welcome

An introduction to Data Visualisation

An overview of the course: BUSMGT 708

Preparation for next session

Course Goal

This course will equip you with the ability to utilise data visualisation tools and techniques in crafting and adapting data communication strategies for different types of audiences. It will enable you to offer critical evaluation of the presentation of data and to understand the implications of these for ethical communication.

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The ability to take data – to be able to understand it, to process it, to extract value from it, to visualize it, to communicate it’s going to be a hugely important skill in the next decades…

I do think those skills – of being able to access, understand, and communicate the insights you get from data analysis – are going to be extremely important. Managers need to be able to access and understand the data themselves.

Hal Varian, The McKinsey Quarterly, January 2009

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“Communication is the most important skill any leader can possess…”

Richard Branson, Forbes, 2016

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Course Learning Outcomes:

By the end of this course it is expected that you will be able to:

Create a data visualisation, from a provided dataset, that delivers a compelling narrative to a specified audience.

Create data visualisations in a data visualisation tool.

Evaluate, critique, and suggest improvements to, visual representations of data.

Identify, and suggest improvements to, unethical uses of data visualisations in business settings.

Design, and deliver effective, engaging presentations to an audience that carefully consider the audience's perspective and address their needs.

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