The right visualisation will stand on its own as a communication tool. from www.shutterstock.com
They say a picture is worth a thousand words.
But how much data can a picture capture? Or, more interestingly, how can a picture tell a story that’s hiding in data?
Our eyes can process vast amounts of information rapidly, and we can take advantage of that to make the most of our data.
This is good, because big data is producing more data than ever before. Data analytics are being deployed in many domains and for applications that did not exist even a couple of decades ago.
More than just a simple picture, visualisation helps humans explore and understand data, and to communicate that understanding to others. Here are a few examples.
A human genomic data set includes thousands of genes from individual patients with a variety of health conditions and diseases.
Simply presenting this information as a heat map of the entire genomic information from hundreds of people gives a result that is too crowded to comprehend.
A cropped view of a heat-map visualisation of gene expression values. Author provided
But there are other ways to present genomic data that focus on the relevant information by synergising the automated analysis with visualisation and interaction.
The initial data analysis process presents similarities among members of the population. The closeness of the items indicates greater similarity in their genes. Without the burden of seeing all the genomics data, we can then drill down to the genes of interest for the selected persons. Author provided
Likewise, a social circle from Facebook includes thousands of people, and hundreds of thousands of connections. The image below shows a “hairball” view of a highly connected network. It is far too complex to comprehend at this level.
An incomprehensible visualisation of a large network. Author provided
But here is another kind of visualisation that highlights interesting groupings of relationships. In this case, it’s a social network of 1,000+ friends that illustrates the context of the various social connections, and also displays the compactness of the interconnections. The different colours are used to show socioeconomic backgrounds.
A visualisation of a social network of 1,000+ friends that illustrates the different socioeconomic backgrounds via the compactness of the groups of friend interconnections and the colours. Kimo Quaintance
A good visualisation should embrace the complexity of information, while presenting it in a comprehensible and meaningful form. Simplicity and authentic presentation also help with perception and interpretation of the information.
Diagrammatic visualisation is an approach that uses the simplicity and familiarity of diagrams and symbols to represent complex information.
Presented below is an example of diagrammatic visualisation used to represent logistics operations and trends in productivity for both the land side and the wharf side at Port Botany in Sydney from September 2000 until December 2010.
Our challenge was to include the following information in our visualisations:
· Land-side activities, including truck turnaround time, total number of trucks, total number of containers and slots available and used
· Wharf-side activities, including crane rate, ship rate, crane time not worked, stevedoring variability, throughput per berth meter (PBM), ships handled, vessel working rate, and total number of containers.
The most important aspects to cover were container loading and unloading times, truck turnaround times, and other factors that convey information on performance, labour productivity and efficiency.
We followed the visual information-seeking mantra of “overview first, filter and zoom, details on demand”, to provide an illustration of the Sydney ports’ performance.