Mon 5th Nov |
1400-1530 |
Lecture : Visualization Fundamentals |
1530-1545 |
Break |
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1545-1630 |
Lecture : Visualization Guidelines |
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Tue 6th Nov |
0930-1230 |
Lab : GIS, RBDM, Env Water Consultancy, Centre for Doctoral Training (CDT) |
Wed 7th Nov |
0930-1230 |
Lab : CAMS 1 |
1330-1630 |
Lab : CAMS2, SSP, Data Science & Analytics |
Visualization is fundamental to meeting the unprecedented challenges and exploiting the wonderful opportunities of the ever-expanding deluge of data confronting virtually every field.
Nowadays visualization is one of the key ways in which scientific discoveries and advances in collective understanding are made. Therefore, those scientists, researchers, data explorers, and analysts who rely in their everyday work on producing visualizations and generating images should have some acquaintance with the most rudimentary ABC of good design practice.
Independent Designer
This week’s session covers the fundamentals of Data Visualization, arguably the core and fastest growing sub-discipline of Data Science. The materials introduce some key research from cognitive science, computer science and the geo-sciences that will help you interpret and create information-rich data graphics.
By the end of the session, you will:
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Appreciate core principles of data visualization design
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Be able to employ these principles when critiquing graphics
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Create effective data visualizations using software built on these principles
Before the lecture, it would be beneficial to:
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Watch Mariah Meyer’s Tedx Talk on Information Visualization for Scientific Discovery
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Skim read Jeff Heer et al’s A Tour through the Visualization Zoo
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Glance through the Resources page
Before the lab, you should:
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Work through the Tableau page
Content by Roger Beecham | 2018 | Licensed under Creative Commons BY 4.0.