Should the y-axis always go to 0? Is the answer different for line charts and bar charts? 
A newly published article by at @Meta_Psy by @JessiWittPhD collected empirical evidence about y-axis scaling in #dataviz #datavis. https://open.lnu.se/index.php/metapsychology/article/view/895/2084
1/">https://open.lnu.se/index.php...
                    
                                    
                    A newly published article by at @Meta_Psy by @JessiWittPhD collected empirical evidence about y-axis scaling in #dataviz #datavis. https://open.lnu.se/index.php/metapsychology/article/view/895/2084
1/">https://open.lnu.se/index.php...
                        
                        
                        A common belief is that bar charts communicate more accurately if the y-axis goes to zero but that y-axes can be cropped for line charts. 2/
                        
                        
                        
                        
                                                
                        
                                                
                    
                    
                                    
                    
                        
                        
                        This article suggest that both assumptions are wrong⊠or at least incomplete. The experiments asked subjects to report an effect size (difference over standard deviation) between two values displayed as bars or a line and with different y-axis scales. 3/
                        
                        
                        
                        
                                                
                    
                    
                                    
                    
                        
                        
                        The results showed that for a y-axis with a wide range (âfullâ condition), people reported a smaller effect size. When the y-axis had a narrow range (âminimalâ condition), people reported a larger effect size. Different responses despite showing the same data. 4/
                        
                        
                        
                        
                                                
                        
                                                
                    
                    
                                    
                    
                        
                        
                        And this bias was present no matter what graph type was used. Bar chart. Line chart. Error bars. No error bars. Always a response bias⊠despite effect size not even making sense without error bars! 5/
                        
                        
                        
                        
                                                
                        
                                                
                    
                    
                                    
                    
                        
                        
                        So when estimating the difference and variance between aggregated values, people can be biased in either direction by the scale of the y-axis. 6/
                        
                        
                        
                        
                                                
                        
                                                
                    
                    
                                    
                    
                        
                        
                        Meta-Psychology requires open practices for all submissions.
Data and materials: https://osf.io/hw2ac
Reviews">https://osf.io/hw2ac&quo... and decision letters: https://osf.io/hxk2u ">https://osf.io/hxk2u&quo...
All reviewers (including me!) are named in the decision letters and in the header of the article for accountability. 7/
                    
                                    
                    Data and materials: https://osf.io/hw2ac
Reviews">https://osf.io/hw2ac&quo... and decision letters: https://osf.io/hxk2u ">https://osf.io/hxk2u&quo...
All reviewers (including me!) are named in the decision letters and in the header of the article for accountability. 7/
                        
                        
                        Last, but not least, this articleâs analyses underwent a reproducibility check by  @tobiasmueh. So reported results were recomputed and verified. 8/8
                        
                        
                        
                        
                                                
                    
                    
                
                 
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