A project management team uses an app to monitor different projects. • Projects may have co-dependent tasks and processes • Some projects include…

A network chart is the ideal visualization for this scenario. It is specifically designed to represent entities (nodes) and the relationships between them (links or edges). In this case, the project tasks and subtasks are the nodes, and their co-dependencies are the links. The network chart allows for complex, non-hierarchical relationships, which is crucial for co-dependent tasks. Furthermore, it supports customizing the visual properties of the nodes, such as coloring the boxes based on the project or task status, directly fulfilling all the business analyst's requirements.

A. Sankey chart: This chart visualizes the magnitude of flow between nodes, not the structural relationships or co-dependencies of tasks in a project workflow.

B. Grid chart: This is a matrix-based visualization that uses color to represent values across two dimensions. It cannot show connections or dependencies between items.

C. Org chart: This chart is designed for strict, top-down hierarchical structures and cannot represent the complex, many-to-many dependencies common in project tasks.

1. Qlik Sense for Windows Help, "Network chart" section: "The network chart displays a diagram of nodes and links to show relationships in data... You can set the size and color of the nodes, and the thickness and color of the links, based on measures." This directly supports using a network chart to represent tasks (nodes) and their relationships (links) and coloring them by status (a measure).

2. Qlik Sense for Windows Help, "When to use an organization chart" section: "The organization chart is used to show hierarchical structures, such as a company's organization or a family tree." This confirms its unsuitability for non-hierarchical, co-dependent tasks.

3. Qlik Sense for Windows Help, "When to use a Sankey chart" section: "The Sankey chart is used to visualize the magnitude of flow between nodes in a network." This highlights its focus on flow quantity rather than structural dependency.

4. Healy, K. (2019). Data Visualization: A Practical Introduction. Princeton University Press. Chapter 6, "Draw a network": This chapter describes network graphs (or charts) as the standard method for visualizing entities and their connections, which is the core requirement of the question. It distinguishes them from hierarchical charts like tree diagrams (or org charts). (Note: While a general academic source, its principles are directly applicable and foundational to the visualization capabilities in tools like Qlik).