tree
A graph is an abstract data type that can effectively represent many-to-many relationships. In a graph, nodes (or vertices) represent entities, while edges represent the connections or relationships between them, allowing for multiple connections between different nodes. This structure is ideal for modeling complex relationships, such as social networks or collaborative systems, where numerous entities interact with one another in various ways.
Many to many relationship in DBMS is usually a mirror of the real-life relationship between objects that tables represent.
A 232-bit data structure contains 4,294,967,296 bits.
Entity Relationship Diagrams (ERD's) are a way of diagrammatically showing entities in an organisations and how they relate to each other. ERD's show detailed representations of the information that is used in a system and how it relates to other data. There are a number of symbols that represent the entities and the relationships between them; the relationship can be a one to many relationship, many to many or one to one.
tree
Table is where the data is stored and in a well designed schema a table represents some real world object such as CUSTOMER, ORDER, etc., Now the real world objects have relationships. For example, a CUSTOMER has many ORDERS. To represent this relationship a database relationship was invented.
A complete data bus structure is responsible to do this
There are many such systems of diagrams used to aid program design (e.g. data flow diagrams, entity relationship diagrams, control flow diagrams, flowcharts).
how many numbers your data is away from your mean
That is done in a many to many relationship.
How many apples are used in fruit.
There are many structure activity relationship studies of Aspirin. Some of them are one to things, while others have found a great deal of knowledge.