Box plots help visualize the distribution of quantitative values in a field and allow us to see a number of different things in the data series more deeply. They are also valuable for comparisons across different categorical variables or identifying outliers, clusters of data points, different volume of data points between series and similar insights that we might not get from a summary statistics. In this video, Gaelim is going to demonstrate how you can make enhanced box plots in Power BI using Python code.

***** Video Details *****
00:00 Introduction
00:48 Importing packages
02:13 Data set
02:47 Box plot
04:17 Seaborn box plot
06:59 Swarm plot
11:12 Boxenplot
12:27 Color coding
13:37 Importing in Power BI

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