Boxplot what do the dots represent?
Question:
I am learning datascience for data analysis I am using seaborn and doing a box plot which resulted in below plot
I understood the whiskers which represting quantiles and the dots on top at 45 and 52 are max values. what I don’t understand is what do the dots in between represent and what are they called
Answers:
In box plots, dots are outliers. This is not particular to Seaborn or any other tool; it is generical to visualization in statistics.
The outliers are points that stay out of the interval [Q1-1.5*IQR; Q3+1.5*IQR]
, with:
Q1 = Quartile 1 (25th percentile)
Q3 = Quartile 3 (75th percentile)
IQR = Interquartile range from Q1 to Q3
I think you will understand that better if you plot the histograms matching those box plots 🙂
Please, read this post, it is quite good 🙂
I am learning datascience for data analysis I am using seaborn and doing a box plot which resulted in below plot
I understood the whiskers which represting quantiles and the dots on top at 45 and 52 are max values. what I don’t understand is what do the dots in between represent and what are they called
In box plots, dots are outliers. This is not particular to Seaborn or any other tool; it is generical to visualization in statistics.
The outliers are points that stay out of the interval [Q1-1.5*IQR; Q3+1.5*IQR]
, with:
Q1 = Quartile 1 (25th percentile)
Q3 = Quartile 3 (75th percentile)
IQR = Interquartile range from Q1 to Q3
I think you will understand that better if you plot the histograms matching those box plots 🙂
Please, read this post, it is quite good 🙂