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===Limitations=== # Limited use for continuous data: Bar charts are not useful for displaying continuous data, such as temperature or time. For continuous data, a line chart or scatter plot may be more appropriate. Bar charts of continuous data with error bars are sometimes referred to as dynamite plots.<ref>{{Cite report |url=http://biorxiv.org/lookup/doi/10.1101/2022.03.14.484206 |title=Replacing bar graphs of continuous data with more informative graphics: Are we making progress? |last1=Riedel |first1=Nico |last2=Schulz |first2=Robert |date=2022-03-15 |publisher=Scientific Communication and Education |doi=10.1101/2022.03.14.484206 |language=en |last3=Kazezian |first3=Vartan |last4=Weissgerber |first4=Tracey}}</ref><ref>{{Cite journal |last1=Doggett |first1=Thomas J |last2=Way |first2=Connor |date=2024-01-08 |title=Dynamite plots in surgical research over 10 years: a meta-study using machine-learning analysis |url=https://doi.org/10.1093/postmj/qgad134 |journal=Postgraduate Medical Journal |volume=100 |issue=1182 |pages=262β266 |doi=10.1093/postmj/qgad134 |pmid=38190146 |issn=0032-5473|url-access=subscription }}</ref> # Limited use for small sample sizes: Bar charts may not be useful for displaying small sample sizes, as the bars may not accurately represent the data. In such cases, a [[histogram]] or box plot may be more appropriate. # May be misleading: Bar charts can be misleading if the scale is not appropriate or if the data is presented in a way that is designed to mislead the viewer. For example, if the y-axis is truncated, the differences between the bars may appear larger than they actually are. # Limited scope for multivariate data: Bar charts can only display one or two variables at a time, making them less useful for displaying multivariate data. In such cases, a scatter plot or heat map may be more appropriate.<ref name=":0" /><ref name=":1" />
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