Which feature is particularly useful for highlighting the differentiation of data groups in charts?

Color coding is an effective feature for differentiating data groups in charts because it allows for the visual segmentation of multiple datasets within the same representation. By assigning distinct colors to various groups, users can easily identify and compare them at a glance, enhancing the interpretability of the data.

Using color coding facilitates the recognition of patterns and trends, making complex information much more accessible. It is particularly beneficial when presenting data with overlapping values or when comparing multiple datasets, as colors can quickly indicate which group a particular segment belongs to without needing extra annotations.

The other options, while useful in their own right, do not specifically enhance the differentiation between data groups in the same intuitive manner. For instance, chart type affects the overall representation of data but does not inherently provide a means of distinctly identifying groupings through visual elements. Data labels can convey information about specific data points but can become cluttered in charts with many datasets, detracting from clarity. Grid lines can aid in reading values accurately but do not contribute to distinguishing different groups of data visually.