assignment
orangepink
Week01aIntroduction.pptxAgenda:
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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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Some more modern visualisations
https://public.tableau.com/en-us/s/gallery
https://public.tableau.com/en-us/s/blog/2022/01/look-back-some-great-data-visualizations-2021
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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