A practical example
We can analyze this example to get a sense of how it works.
The Compare tab in a listing for Airbnbs in Madrid.
The price difference is quite apparent
Data Exploration
The Compare tab
Explore your data in a massively parallel way
The Compare section offers you a fine grained view of your variables, particularly focusing in how each one
of their values work in relation to other variable’s values.
Essentially, you can compare how all the possible values from a column relate to any other column’s values, allowing you
to spot potentially interesting relationships.
This dataset holds data on ~20K Airbnb listings in Madrid. We have information about the listing’s location, price,
neighbourhood, reviews, information related to the owner and more.
We can see the variable Neighbourhood selected, and two of its values compared: Casa de Campo and Sol. This allows us
to compare the two neighbourhoods very quickly.
You can see how the different aspects of the review process differ between listings in one neighbourhood and the other.
Or, more interestingly, how the price between the two differs, in the leftmost chart:
You can hover your mouse over any point in any chart to reveal more information about it:
We can see that 41% of all the listings between 50 to 100€ per night are located in Casa de Campo, whereas Sol
holds only ~29% of those in the same price range, making it clear that Sol is a quite more expensive neighbourhood.