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<speak> Now, let's visualize the data frame.<break strength="x-strong"/> Now, let's compare one column with another column. <break strength="x-strong"/> Now, let's plot a boxen plot, between price and Airline.<break strength="x-strong"/> What is boxen plot?<break strength="x-strong"/> Boxen plot is enhanced box plot for larger datasets.<break strength="x-strong"/> It plots different quartile values.<break strength="x-strong"/> So, here y is price and x is Airline.<break strength="x-strong"/> And here we are taking train_ df.sort values with Price and ascending is false.<break strength="x-strong"/> And the type of plot is the boxen plot, and the height is 8 and aspect= 3. <break strength="x-strong"/> Let's run the cell.<break strength="x-strong"/> So, first in terms of price Jet Airways business has height price.<break strength="x-strong"/> I mean the ticket for this flight is very costly. <break strength="x-strong"/> And then we have Jet Airways and these are the out layers. <break strength="x-strong"/> <break strength="x-strong"/>The boxen plot is very similar to the box plot except for the fact that it plots different quartile values. <break strength="x-strong"/>We can understand the shape of the distribution. <break strength="x-strong"/>Particularly in the head and tail. <break strength="x-strong"/>Here we can see that, so these are all the out layers for all the airline services. <break strength="x-strong"/> So most of the price for Jet Airways ranges between this. <break strength="x-strong"/>And here which is approximately 30000 rupees and nearly starts from 1700 rupees. <break strength="x-strong"/> Now let's create a plot between price and source. <break strength="x-strong"/> We will compare how the price differs from source and destination.<break strength="x-strong"/> So here y is Price, x is Source and we are sorting values as per the price.<break strength="x-strong"/> And ascending is false.<break strength="x-strong"/> <break strength="x-strong"/> </speak>