Pretty simple dataset but datavisualization can do wonders in pointing out the outliers and getting audiences focus in areas the dataviz author wants to. Here is the original viz.
I like the original viz because it’s neat and gets the message accross by comparing the ticket prices w.r.t to how many weeks ahead they were bought. So the data is a comparison of the variance of Plane and Train ticket prices for different source and destinations.
I had been itching to create a viz using Jump plot, that I have learnt after reverse engineering @NilsM09 and @MarkBradbourne vizes. This data was pretty apt for that. Had to do some dataprep using Alteryx.
In the viz, the x axis signifies the % difference between ticket prices of Train and Plane. While the hieght of the jump plot signifies the Train tickets price. The outcome is quite surprising, given that sometimes the Train ticket prices are higher than flight prices, although it’s not often.
DataVisalytics 