¤Virtual University Of Pakistan Network¤
slam plz koi hlp kr dy or mth ki gdb ka solution dy deay
Discuss the “Importance of graphs in data representation”.
MTH001 GDB IDEA SOLUTION
Graphs are a useful way of conveying information very quickly
and briefly. With the same ease and efficiency, they help in comparing data over
time and space. They are visual aids and have a powerful impact on the people.
It is often said, "a picture is worth a thousand words". They attract a reader's
attention to what they are supposed to convey about the data. Further, they may
help us to estimate some values at a glance, and serve as a pictorial check on
the accuracy of our solutions.
However, graphical presentation of data, although use in different ways mentioned
above, is only one method of describing data. T ' s cannot and is not a substitute
for other forms of presentation as well as farther statistical analysis. In the following,
we discuss some of the graphical methods of presentation
Graphs are used to plot data, so it is useful to look at types of data first. There
are two main types of variables: categorical / qualitative and numeric /
Within these types are sub-categories that run along something of a continuum.
Categories can be pure and unordered, e.g. species present at a sample site;
complementary, e.g. male / female; or they can be in an ordered sequence, e.g.
chick / juvenile / adult.
By contrast, numbers can have continuous values (e.g. for height or time) or
discrete values (such as counts).
The vast majority of these mining and
retrieval methods rely on data represented as a set of independent entities and
their attributes. However, this approach does not consider a relevant part of
the information in the underlying data, viz. the relationships between different
entities. Graphs, which are in fact one of the most general forms of data representation,
are able to represent not only the values of an entity, but can be used
to explicitly model structural relations that may exist between different parts of
an object .This crucial benefit of graphs recently led to an emerging interest
in graph based data mining.