Visualizing Outliers with Python A very helpful way of detecting outliers is by visualizing them. The best type of graph for visualizing outliers is the box plot. But, before visualizing anything let’s load a data set: Scikit-learn’s California housing data set ...
As we now have the IQR scores, it’s time to get hold on outliers. The below code will give an output with some true and false values. The data point where we have False that means these values are valid whereas True indicates presence of an outlier. print(boston_df_o1 < (Q1 - 1....
The whiskers (top and bottom) comprise values within 1.5 times the interquartile range (IQR). The outliers are indicated by black dots. Statistical differences were analyzed by one-way ANOVA with Tukey’s HSD test (P < 0.001) and were indicated by the lower-case letters. Representative ...