Data visualisation

“5 Minute Guide: Graphic Design Principles for Information Visuallisation”

After collecting a large amount of valid data, a more flexible visual display of the data is necessary. Lev Manovich’s book outlines some basic visualization principles to aid in the design of beautiful data visualizations.

First of all, the essential thing for data visualization is colour. It is best not to use more than four colours in the same picture. The overall colour selection is based on uniform comfort. If it is a non-professional design life, you can consider colour assistance website for the colour selected. Unless you are a professional, we should avoid choosing a colour palette ourselves. For fonts, it’s best to use only two sizes. Otherwise, it will make viewers feel challenging to read.

Second, in data visualization storytelling, each different visualization option must indicate a different type of content. Don’t just add a lot of beautification of data understanding just for the sake of vision.

Finally, conducting research and finding references is also one of the ways to effectively improve data visualization.

Making Visible the Invisible

Aaron Siegel ’s video tells a lot of examples to understand better Making Visible the Invisible through these examples.

First of all, data is ubiquitous. Everyday food, food type, calories, etc. can become data. At the same time, data can also be the cover of magazines, population changes over time, etc.

Secondly, reasonable collection of valid data and analysis of data can better understand and modify the data.It is necessary to eliminate invalid data and interference data, so that the data can be more effectively displayed.

Finally, with the development of science and technology, dynamic data has gradually moved into the public eye. This display method not only has a certain degree of landscaping on the data display, but also allows viewers to understand the changes and trends of the data faster.

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