Print Visualizations at Data Stories 2025
                The COVID-19 Impact on Food Consumption Patterns
            
            
                
                    
                    
                        
                            
                                Author:
                                                                                                 
                                Matej Petković, Barbara Koroušić Seljak, Dragi Kocev                                                                
                                                                                            
                            By analyzing a large corpus of recipes using an information extraction method for extracting ingredients, we discovered interesting eating patterns that change during the COVID-19 pandemic. The users increased relatively the consumption of "Legumes and their fruits”, "Pancakes and tortillas", "Soups", "Dough", "Stone fruit", "Cakes” and "Beef” during the first lockdown. On the contrary, the users decreased the consumption of "Perch (red fish)", "Cereals, flakes and seeds", "Viticulture" and for those annotated "Citrus", "Pork", "Water" and "Seafood". Results showed that we had more time during the pandemic to prepare homemade dishes, which are mostly less salted and sweetened than industrial products.