Data visualisation VISL

Facilitating understanding of data by displaying concepts, ideas, and facts using graphical representations.

Guidance notes

Activities may include — but are not limited to:

  • condensing and encapsulating data characteristics, making it easier to surface opportunities, identify risks, analyse trends, and drive effective decision-making
  • presenting findings and data insights in creative ways to facilitate the understanding of data across a range of technical and non-technical audiences.

The skill is typically put into practice by using specialist analytics tools.  Specialisation in this skill implies a requirement to use more than just standard office software to create graphical representations of simple data.

Data visualisation: Level 3

Uses a visualisation product, as guided, to design and create data visuals.

Selects appropriate visualisation techniques from the options available.

Engages with the target user to prototype and refine specified visualisations.

Data visualisation: Level 4

Applies a variety of visualisation techniques and designs the content and appearance of data visuals.

Operationalises and automates activities for efficient and timely production of data visuals.

Selects appropriate visualisation approaches from a range of applicable options.

Contributes to exploration and experimentation in data visualisation.

Data visualisation: Level 5

Leads exploration of new approaches for data visualisation.

Establishes the purpose and parameters of the data visualisation. Provides overall control to ensure the appropriate use of data visualisation tools and techniques.

Formats and communicates results using textual, numeric, graphical and other visualisation methods appropriate to the target audience.

Advises on the appropriate use of data visualisation for different purposes and contexts to satisfy requirements. Develops plans showing how the identified user needs will be met.