Data Visualisation involves the act of collecting statistics, research and evidence into a visual. A data visual should communicate attributes of perhaps the frequency and topic of the graph. They are basically the ‘modern equivalent of visual representation of data’.
Basically,
“Information that has been abstracted in some schematic form, including attributes or variables for the units of information”
as stated by Michael Friendly (2008).
Infographics vs. Data Visualisation:
- “Not all information visualisations are based on data, but all data visualisations are information visualisations”
- Quantitative labels
- Processed visualisations are not data visualisations
- The infographic process is way different from the opposing
- All data visualisations are information visualisations
- Design principle of graphics are different
- Data visualisations are based on real sourced statistical information e.g. ABS
- Infographics are more image based to get the point of the information across to the reader whereas data visualisation is often more graphic based
Reflection:
The insight that I have gained from learning about data visualisation is that it is a whole different entity from what I am used to- infographics. There is still a lot to learn about this topic as it requires a lot of meticulous details in data processing and to effectively portray this data source.
melsdata 