Data Visualisation

Data visualisation and aggregation from one or multiple sources

What We Do

Data is the best way to explain your organisation’s story or cause through analytical data . Often just throwing numbers at people doesn’t mean a lot, but by showing a relationship alongside other data examples it gives a clear picture, when represented in an appealing way.

Data visualisation is a specialisim that deals with the graphical representation of data. It is a particularly efficient way of communicating when the data is numerous as for example, for showing changes of behaviour over a period of time. From an academic point of view, this representation can be considered as a mapping between the original data (usually numerical) and graphic elements (for example, lines or points in a chart). The mapping determines how the attributes of these elements vary according to the data. In this light, a bar chart is a mapping of the length of a bar to a magnitude of a variable. Since the graphic design of the mapping can adversely affect the readability of a chart, mapping is a core competency of Data visualisation.

By taking data from multiple sources by using something such as GraphQL we are able to display information that tells a better story and take advantage of multiple bodies of research, as well as your own information.