exhibit-selector

Choosing the right chart type requires analyzing underlying data relationships like comparison, composition, change over time, distribution, correlation, flow, or process. This analysis guides whether a chart, framework, or table best conveys your intended message.

Selecting a visual exhibit for a slide involves evaluating your core message against data relationships. Identifying whether your data shows composition, distribution, or flow dictates the most effective exhibit type, streamlining the communication process before you begin design.

Determining whether to use a table or a chart depends on the specific data relationship you need to highlight. By analyzing whether your data illustrates a comparison, change over time, or a process, you can select the exhibit type that most effectively communicates your message.

Yes, you can use exhibit selection for data visualization design preparation. It analyzes your dataset's relationships to recommend the most appropriate visual or textual representation, ensuring your presentation design effectively conveys the intended message before you build the final graphic.

Before exhibit selection, you need to identify data relationships such as comparison, composition, change over time, distribution, correlation, flow, or process. Recognizing these specific relationships allows you to pinpoint the exact exhibit type that matches your communication goal.