Graph objective

The Graph Objective is the defining rule of the Graph Workflow.

Enforcing clarity in the Graph Objective from the outset helps determine the specific data requirements, focuses data management and reduces complexity in design.

The Graph Objective is specified by addressing three key questions:

As an example, consider the analysis on the Taiji Cove drive hunt. As I explain in that analysis, the graph objective is to document the “Evolution of kills and captures” during 2001-2018.

The use of the word “Evolution” alludes immediately to a temporal statistical context (question 1). The time frequency is annual, and the target variables are the number of kills and number of captures, which are on the quantitative interval-ratio level (question 2). The intended audience is widespread distribution so the graph must be constructed using a form that is easy to understand even for the uninitiated (question 3).

To learn more about how to specify the graph objective follow links on statistical context, data properties, and intended audience.

Back to False pretences ⟵ ⟶ Continue to Statistical context

Demetris Christodoulou