If a chart has too many categories and appears crowded, what is a practical step to improve readability without discarding data?

• A. Increase the chart size to fit more labels.
• B. Group categories into regional or broader groups and switch to a stacked chart.
• C. Remove the chart title.
• D. Convert to a scatter plot.

Answer: (B)

When a chart has too many categories, readability drops because there are too many axis labels to scan. A practical approach is to group the categories into broader, regional, or overall groups and switch to a stacked chart. Aggregating the categories reduces the number of distinct groups shown, making the axis easier to read. At the same time, the stacked visualization preserves the data by showing the total for each group and how that total is composed by its subcategories. This lets you compare overall group totals quickly while still understanding the contribution of each subgroup within the group.

Keep in mind that this works best when the broader groups are meaningful and the goal is to see both totals and composition. If you need precise values for every subcategory, other chart formats or a different layout might be more appropriate. Increasing chart size can help a bit but doesn’t solve the underlying clutter, removing the chart title doesn’t improve readability, and changing to a scatter plot isn’t suitable for presenting categorical totals.