Two types
One - to -one mergeing:
combine observations from two data sets into a single
observation in a new data set:
Match- Merging:combine observations from two data sets into
a single observation in a new data set according to the
values of a variable that is specified in the BY statement:
Two types
One - to -one mergeing:
combine observations from two data sets into a single
observation in a new data set:
Match- Merging:combine observations from two data sets into
a single observation in a new data set according to the
values of a variable that is specified in the BY statement
There is 3 types of merge,
1.Equiv Join : Merge the datasets with Only matching
observations.
2.Non Equiv Join : Merge the datasets with not,greater and
less matching observations.
3.Outer Join : Merge the datasets with insufficient
observations.
This the Answer u search for - Types of MERGE
1.One to One reading.
2.Concatenating.
3.Interleaving.
4.Mach Merge.
I'll give the Explanation also, If u need.
arai uselessfelow why are you dropping these type of
answers.how can a person knows how many types of merges are
there?
please don't drop the wrong answers.
Till now, i had used 2 types of Merges...
1 More than 2 datasets having same BY variable...
eg : Adding summary statistics to the Dataset.
2 More than 2 datasets doesnt having same BY variables...
eg : adding totals to the dataset.
How would you code a merge that will write the matches of
both to one data set, the non-matches from the left-most
data set to a second data set, and the non-matches of the
right-most data set to a third data set?
How did you use the round function?give an example(don't
say it will round to the nearest intger) eg1:round(84.55,.1)
=84.6 eg2:round(92.64,.1)=92.6,How it is happening like
this tell me the logic,that is how the round function works
when we have deimal values?