Visualization with Python Part 4: Create Box Plot With Seaborn Library | Dexlab Analytics

Welcome to another Dexlab Analytics tutorial session on visualization series with Python programming language. This is the 4th part of the series, if you have been following the tutorial sessions closely, then you are aware of the fact that in the 3rd part we introduced you to the Seaborn Library in Python which covered the basics. So, we are continuing from where we left off in the previous part and in this 4th segment of the visualization series we will be taking you further into the Seaborn Library. This particular video tutorial aims to teach you to create box plot using Seaborn Library. The Seaborn Library comes with a list of pre-defined methods which includes. boxplot() method. A box plot is basically created with the purpose of visualizing numerical data distribution and skewness through displaying the data quartiles and median. So, keep on watching this tutorial that explains the process.

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