Different methods of data classification can be used to emphasize different features within a map. For example, in the map provided above, the housing affordability for the cities of Ottawa and Vancouver are compared. There are many different ways in which to define the breaks between intervals of affordability, but this map uses manual breaks to show the lack of affordable houses in Vancouver compared to Ottawa. If the breaks were defined using a different method such as standard deviation, the map would not effectively communicate the alarming scarcity of affordable houses in Vancouver, as the data distribution would be normalized.