Data & Information Visualisation
I read this week’s article on Lev Manovich to understand that information visualisation is of great value to modern information dissemination. The key to information visualisation is how to convert data into visual representation so that information could be communicate effectively, correctly, and with an artistic design.
How to design information visualisation should take into account font, colour, grid, information simplification, visual attribute selection, and grasp good visualised works that could learn from, it is also necessary to consider the connection with the content to be expressed.
Font
When design a visualisation better use no more than one typeface of font, with only a few variations in size or style.

Colour
If did not accept professionally trained before, could use the colour palette and colour palette generator on website. The colour use should relative with the content of information designed.

Grid
Grid is very important on combine more than one visualisations together in a single design.


Information Simplification
Less is more. Just catch the main content of information.

Visual Attribute Selection
Every information visualisation design has a variety of visual attributes. Common attributes include point, colours, line widths, font family, font sizes, locations of text blocks, etc. The most important design principle is to use only a few options for each attribute. For instance, for lines, use only maximum of two line widths. For font size, similarly use only two sizes, one for the title, one for the labels (for example). For colour, use a palette of three or four colours, etc.

Grasp good visualised works that could learn from, and consider the connection with the content to be expressed.

Making visible the invisible: data in art and design
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Making visible the invisible
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Data in art and design
What is data?
Data: Simple facts lacking context.
Information: Data put within context.
Knowledge: Information that has been justified true and believed.
1. Data is ubiquitous.
‘Data could drive pretty much everything, found in everything that you do…’
2. Data is diverse.
‘Since it is everywhere, you can find it in sorts of different things.’
3. Data is important as well


Reference list:
Lev Manovich. 2012, ‘5 Minute Guide: Graphic Design Principles for Information Visualisation’,[Online] https://docs.google.com/document/d/1CVbRgxAby5AdS6ERCmAde69v7_gXSWoK-YcJZzs-KKY/
Popovich, N. and Pearce, A. 2017. It’s Not Your Imagination. Summers Are Getting Hotter.[Online] Nytimes.com. Available at: https://www.nytimes.com/interactive/2017/07/28/climate/more-frequent-extreme-summer-heat.html [Accessed 4 Feb. 2018].
Aaeron S. 2013, ‘Making Visible the Invisible’, [Video] https://vimeo.com/52832102