Data visualisation VISL

(modified)

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

Guidance notes

(new)

Activities may include - but are not limited to...

  • condensing and encapsulating the characteristics of data, making it easier to surface opportunities, identify risks, analyse trends, to 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 more than the use of standard office software to create graphical representations of simple data.

Data visualisation: Level 5

(unchanged)

Establishes the purpose and parameters of the data visualisation. Provides overall control, to ensure 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 appropriate use of data visualisation for different purposes and contexts to enable requirements to be satisfied. Develops plans showing how the identified user needs will be met. Leads exploration of new approaches for data visualisation.

Data visualisation: Level 4

(unchanged)

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 approach from a range of applicable options. Contributes to exploration and experimentation in data visualisation.

Data visualisation: Level 3

(new)

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.