Final answer:
Groups in data visualization are created using 'grouping' or 'binning' tools within visualization software to categorize data points based on shared characteristics, making the visualization simpler and more comprehensible.
Step-by-step explanation:
To define groups in a visualization that combine multiple items into a single item, you would typically utilize features within the data visualization software you are working with. These features are often referred to as 'grouping' or 'binning' tools. Grouping is a way to categorize individual data points into larger segments based on shared characteristics or criteria. For example, in a graph showing sales data, you might group sales by region to see regional trends more clearly. This act of grouping helps in simplifying complex data by reducing the number of visual elements in a chart or graph, making the visualization easier to understand and analyze.
In technical terms, this could involve writing a formula or selecting options in your visualization tool that instructs the software to treat all items meeting certain criteria as a single entity. Depending on the software, you might drag and drop fields into a 'group' area or manually define the ranges for numeric data that should be binned together. Successful grouping ultimately results in a cleaner, more comprehensible data visualization that communicates the desired information effectively.