Here are a few examples where a histogram would be more useful than a bar chart for large frequency distribution data:
- Test score results for a large class - showing the distribution across ranges of scores rather than individual scores
- Monthly website visitor durations - showing distribution of visit times across duration ranges
- Employee salary ranges across a large company - showing frequency of salaries within pay brackets
The key is that histograms are better for continuous data divided into ranges, especially for large data sets, as they can show the overall shape and distribution more clearly than individual bars. Bar charts are better for discrete categorical comparisons.