How to interpret a boxplot graph? In a boxplot graph, the box represents the data’s interquartile range (IQR), which is the 50 percent of data points above the first quartile and below the third quartile. Each whisker (line) on the side of a boxplot represents the top and bottom 25...
In this article, I showed what are the violin plots, how to interpret them and what their advantages are over the boxplots. One last remark worth making is that the boxplots don’t adapt as long as the quartiles stay the same. We can modify the data in a way that the quartiles ...
forms in multimedia, sensors, financial logs, various instruments and so on. It is beyond the work of simple BI tools to process this large quantity of data in such varieties. This is the reason more complex as well as advanced and modern tools of analysis are required for understanding ...
Boxplot The seaborn library is available to show you Boxplot which performs to summarize a range and give more statistical details from a large volume of data. It will split each class of records into representing in three ways of quartiles denoted by Q1, Q2, and Q3 quartiles respectiv...
5. Box plot: # Generate some sample data x = np.random.randn(100) Create a box plot sns.boxplot(x) Show the plot plt.show() 6. Heat map: import seaborn as sns import numpy as np Generate some sample data x = np.random.randn(100, 10) ...
PyOD is an awesome outlier detection library. In this article learn what is outlier and how to use PyOD library for outlier detection in Python.