Interpreting statistical graphs is a crucial component of the 21st-century skillset known as statistical literacy. Despite their importance for statistical literacy, research reports that systematic errors often occur in the interpretation. As no consolidated overview of these errors existed to date, a systematic literature review was conducted. This review identified systematic errors in the interpretation of graphical representations of the distribution of one variable, such as histograms, dotplots, boxplots, and casevalue plots. These errors were then categorized into four overarching themes, to provide a structured framework for understanding and addressing them.