Most mobile applications make use of a grid, even when this structure is not consciously noticed by the user. Buttons are aligned neatly, text blocks are evenly spaced, and icons follow a predictable pattern. This is not incidental; it is one of the most fundamental principles of effective app design. However, there is one area where this principle frequently breaks down: charts and data visualization. This post considers why that occurs.
Also,most applications rely on a grid because predictability supports usability. A user opening a banking app expects the navigation menu to remain in approximately the same position each time. A user opening a shopping app expects product images to be arranged in consistent, even rows. This predictability is not simply a matter of appearance; it genuinely allows users to navigate an interface more quickly and with less cognitive effort. Major companies formalize these expectations explicitly. IBM’s Carbon Design System, for example, defines a strict 12-column grid combined with spacing based on multiples of 8 pixels, ensuring that every margin, padding value, and gap across IBM’s digital products follows the same underlying structure, regardless of which team developed it.
Data visualization presents a different challenge. A chart depicting seasonal change, or a network diagram representing relationships between many individuals, often does not correspond naturally to rectangular, grid-based structures. A circular chart may represent a yearly cycle more effectively than a bar chart. A flowing timeline may represent a process more clearly than a series of rectangular boxes. A network graph, composed of multiple interconnected points, frequently needs to depart entirely from a rectangular structure in order to represent relationships accurately.
This creates a subtle tension within many digital products. The application’s overall structure favors a clean, predictable grid, while the underlying data sometimes resists that structure, because the relationships being represented are not inherently grid-shaped. Designers cannot force every type of information into uniform rectangular units without occasionally sacrificing clarity or accuracy.
This issue relates to ideas developed by Edward Tufte, a prominent figure in data visualization. Tufte has long argued that a chart should employ the minimum number of visual elements necessary to communicate its underlying data clearly, an approach he describes as maximizing “data-ink” by removing anything that does not directly contribute to understanding. From this perspective, forcing a chart into a rigid grid simply because the surrounding interface follows one can undermine the goal of clear communication. The shape of a visualization should follow the shape of its data, rather than the reverse.
It likely explains why many well-designed applications adopt a layered approach. The overall structure, including navigation, buttons, text, and spacing, typically follows a strict grid, since users require this consistency to navigate efficiently. Within that structure, however, individual charts or visualizations are often granted greater flexibility to adopt whatever form best represents the underlying data, even when that form departs from the surrounding grid.
This does not imply that grids and data visualization are inherently opposed. Many charts continue to rely on grid lines in the background, the small horizontal and vertical lines that allow accurate comparison of values. The distinction is that these internal grid lines exist to support data comprehension, rather than to dictate the overall shape of the visualization itself.This relationship between grids and data visualization illustrates a broader principle in design more generally. Structure is valuable because it produces comfort and consistency. However, structure should never take precedence over clarity. Effective designers understand when to adhere closely to the grid, and when to allow data to depart from it, since the clearest way to present information is sometimes precisely the one that does not conform to a rectangular structure.
