-Latin word nomen– pertaining to names
it consists of names categories
inherently un-ordered, e.g dairy & fruit do not have higher greater mathematical value than each other.
It can be counted, but you can’t take the average of nominal data.
When there is only 2 categories available, it is referred to as dichotomas , so either yes or no answer.
Numbers are assigned to make the data analysis easier.
Assignments of numbers are orbitry.
You can count it & use it calculate percentages.
It is numeric
0 doesn’t = the absence of anything, e.g 00am doesn’t mean there is not time.
Difference between 11:00 – 11:30
It is numeric, it has meaning full data
0 = absence of product
Using the correct data type is very important for designers, to collect & communicate data in the most effective manner. Ordinal – consecutive numbers are used to represent different categories. Qualitative data is descriptive information, whereas quantitative data is numerical information.
Week 2 Lecture Pod. (2018). Retrieved from https://vimeo.com/176274669
Introduction to Data Visualisation
- It is a mass medium
- Essential part of communication process
- “23 Exabytes* of information was recorded & replicated in 2002. We now record & transfer that much information every 7 days.” – How much information? 2003
- everyday people generate so much data, just from facebook , social media etc
- we live in a complex data economy
- What is Data? – data values quantity, can visualised using graphs & Infographs.
- “Data on its own carries no meaning, it must be interpreted & take on a meaning to become information.”
- Data is measurement
- It involves creation & study of data which has been schematically formed.
- Primary goal of Data vis – is to communicate information clearly, using statistical graphics & Infographs.
- Difference between Infographs & Data Vis? – “not all information visualisations are based on data, but all data visualisations are information visualisations”
- ‘it makes complex data more accessible, understandable & usable.’
- ‘Users may have particular analytical tasks such as making comparisons.’
- Designers engage with forms of data to make them for digestible, the scope of data is rapidly increasing, we live in a “tsunami of data”, everyday people create a massive trail of personal data. Infographs can appear as data visualisations, however, they can be inaccurate/ non-meaning-full representations. ‘Effective visualization helps users analyse & reason about data & evidence’
- It is both an art & a science
- Presents ethical & analytical challenged to designers.
The 4X4 Model for Winning Knowledge Content.
Bill Shander of Beehive Media at KA Connect 2014
Summary graphic of the model:
Shedroff, N. (2014). Information interaction design a unified field theory of design.Retrieved from http://nathan.com/information-interaction-design-a-unified-field-theory-of-design/
Waterson, S. (2016). DataVis POD01 – What is Data Vis? [Lecture Pod]. Retrieved from https://vimeo.com/175177926