Hash Maps: Conceptual

A data structure’s main utility is allowing for data to be represented in a way that resembles the way people will use that data. In some cases, the primary function of that data is that it will be sequenced through like a list and so we use a data structure that allows for easier iteration, like a linked list. In others, the usefulness comes from specifying interrelationships within the data.

In the case of tabular data there is a relationship between the elements of a row. Each column corresponds to a different feature of the row. Let’s consider the following table:

State State Flower
Alabama Camellia
Hawaii Hibiscus
Mississippi Magnolia
New York Rose
West Virginia Rhododendron

Each State on the left corresponds to a specific State Flower given on the right. For instance, “New York” corresponds to “Rose”. This kind of table, with only two columns, represents a special relationship that mathematicians would call a “map”. This table maps states to state flowers, but many other relationships can be modeled with maps.


What are some other maps you can define? How is an address book like a map? A list of congresspeople with the counties they represent? A map of dogs to their breed?

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