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Despite the rising popularity of automated visualization tools, existingsystems tend to provide direct results which do not always fit the input dataor meet visualization requirements. Therefore, additional specificationadjustments are still required in real-world use cases. However, manualadjustments are difficult since most users do not necessarily possess adequateskills or visualization knowledge. Even experienced users might createimperfect visualizations that involve chart construction errors. We present aframework, VizLinter, to help users detect flaws and rectify already-built butdefective visualizations. The framework consists of two components, (1) avisualization linter, which applies well-recognized principles to inspect thelegitimacy of rendered visualizations, and (2) a visualization fixer, whichautomatically corrects the detected violations according to the linter. Weimplement the framework into an online editor prototype based on Vega-Litespecifications. To further evaluate the system, we conduct an in-lab userstudy. The results prove its effectiveness and efficiency in identifying andfixing errors for data visualizations.

VizLinter: A Linter and Fixer Framework for Data Visualization