Abstract This paper proposes a visualization recommender system for tabular data given intents (e.g., “population trends in Italy” and “smartphone market share”). The proposed method predicts the most suitable type line, pie, or bar chart) visualized columns (columns used visualization) based on statistical features extracted from as well semantic derived intent. To predict appropriate type, we...