Difference between revisions of "Manuals/calci/DGET"
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{| id="TABLE3" class="SpreadSheet blue" | {| id="TABLE3" class="SpreadSheet blue" | ||
|- class="even" | |- class="even" | ||
+ | | class="sshl_f" | | ||
+ | | class="sshl_f" | A | ||
+ | | class="sshl_f" | B | ||
+ | | class="sshl_f" | C | ||
+ | | class="sshl_f" | D | ||
+ | |- class="odd" | ||
+ | | class="sshl_f" | 1 | ||
| class="sshl_f" | '''Name''' | | class="sshl_f" | '''Name''' | ||
| class="sshl_f" | '''Age''' | | class="sshl_f" | '''Age''' | ||
| class="sshl_f" | '''Salary''' | | class="sshl_f" | '''Salary''' | ||
| class="sshl_f" | '''Age''' | | class="sshl_f" | '''Age''' | ||
− | |- class=" | + | |- class="even" |
+ | | class="sshl_f" | 2 | ||
| class="sshl_f" | | | class="sshl_f" | | ||
| class="sshl_f" | <40 | | class="sshl_f" | <40 | ||
| class="sshl_f" | >8000 | | class="sshl_f" | >8000 | ||
| class="sshl_f" | >32 | | class="sshl_f" | >32 | ||
− | |- class=" | + | |- class="odd" |
+ | | class="sshl_f" | 3 | ||
| class="sshl_f" | | | class="sshl_f" | | ||
| class="sshl_f" | >30 | | class="sshl_f" | >30 | ||
| class="sshl_f" | | | class="sshl_f" | | ||
| class="sshl_f" | | | class="sshl_f" | | ||
− | |- class=" | + | |- class="even" |
+ | | class="sshl_f" | 4 | ||
| class="sshl_f" | '''Name''' | | class="sshl_f" | '''Name''' | ||
| class="sshl_f" | '''Age''' | | class="sshl_f" | '''Age''' | ||
| class="sshl_f" | '''Salary''' | | class="sshl_f" | '''Salary''' | ||
| class="sshl_f" | | | class="sshl_f" | | ||
− | |- class=" | + | |- class="odd" |
+ | | class="sshl_f" | 5 | ||
| class="sshl_f" | John | | class="sshl_f" | John | ||
| class="sshl_f" | 34 | | class="sshl_f" | 34 | ||
| class="sshl_f" | 5500 | | class="sshl_f" | 5500 | ||
| class="sshl_f" | | | class="sshl_f" | | ||
− | |- class=" | + | |- class="even" |
+ | | class="sshl_f" | 6 | ||
| class="sshl_f" | Bill | | class="sshl_f" | Bill | ||
| class="sshl_f" | 35 | | class="sshl_f" | 35 | ||
| class="sshl_f" | 6500 | | class="sshl_f" | 6500 | ||
| class="sshl_f" | | | class="sshl_f" | | ||
− | |- class=" | + | |- class="odd" |
+ | | class="sshl_f" | 7 | ||
| class="sshl_f" | Clark | | class="sshl_f" | Clark | ||
| class="sshl_f" | 29 | | class="sshl_f" | 29 | ||
| class="sshl_f" | 7000 | | class="sshl_f" | 7000 | ||
| class="sshl_f" | | | class="sshl_f" | | ||
− | |- class=" | + | |- class="even" |
+ | | class="sshl_f" | 8 | ||
| class="sshl_f" | Bob | | class="sshl_f" | Bob | ||
| class="sshl_f" | 45 | | class="sshl_f" | 45 | ||
| class="sshl_f" | 9000 | | class="sshl_f" | 9000 | ||
| class="sshl_f" | | | class="sshl_f" | | ||
− | |- class=" | + | |- class="odd" |
+ | | class="sshl_f" | 9 | ||
| class="sshl_f" | Susan | | class="sshl_f" | Susan | ||
| class="sshl_f" | 37 | | class="sshl_f" | 37 | ||
| class="sshl_f" | 4000 | | class="sshl_f" | 4000 | ||
| class="sshl_f" | | | class="sshl_f" | | ||
− | |- class=" | + | |- class="even" |
+ | | class="sshl_f" | 10 | ||
| class="sshl_f" | Jill | | class="sshl_f" | Jill | ||
| class="sshl_f" | 45 | | class="sshl_f" | 45 | ||
Line 77: | Line 93: | ||
− | =DGET(A4:C10,"Name",C1:C2) : Extracts a single value from Name column in the range A4 to C10, for the cells with Salary>8000. '' | + | =DGET(A4:C10,"Name",C1:C2) : Extracts a single value from Name column in the range A4 to C10, for the cells with Salary>8000. <br>Returns '''Bob''' as a result. |
− | =DGET(A4:C10,2,C1:D2) : Extracts a single value from the second column (Age) in the range A4 to C10, for the cells with Salary>8000 and Age>32. '' | + | =DGET(A4:C10,2,C1:D2) : Extracts a single value from the second column (Age) in the range A4 to C10, for the cells with Salary>8000 and Age>32. <br>Returns '''45''' as a result. |
− | =DGET(A4:C10,"Salary",A1:A3) : Extracts a single value from Salary column in the range A4 to C10, for all cells from the Name column. '' | + | =DGET(A4:C10,"Salary",A1:A3) : Extracts a single value from Salary column in the range A4 to C10, for all cells from the Name column. <br>Returns '''#N/A''' error message as there are more than one matching results. |
==Related Videos== | ==Related Videos== |
Revision as of 13:16, 8 October 2015
DGET(database, field, criteria)
- Where 'database' is the range of cells that makes up the list or database
- 'field' shows which column is used in the function and
- 'criteria' is the range of cells that contains the specified criteria.
DGET() obtains a single value from the database that matches the specified criteria.
Description
DGET(database, field, criteria)
The function obtains a single value from the list or database that matches a specified condition.
- A 'field' argument can be expressed as "Salary" (a column name) or 3(position of the column).
- If no matching records are found, Calci returns an #N/A error message.
- If more than one records are matching with the given criteria, Calci returns an #N/A error message.
- Criteria can be any range on the Calci with minimum of one column and at least one row indicating the condition.
- The Criteria columns should not overlap the list of data.
Examples
A | B | C | D | |
1 | Name | Age | Salary | Age |
2 | <40 | >8000 | >32 | |
3 | >30 | |||
4 | Name | Age | Salary | |
5 | John | 34 | 5500 | |
6 | Bill | 35 | 6500 | |
7 | Clark | 29 | 7000 | |
8 | Bob | 45 | 9000 | |
9 | Susan | 37 | 4000 | |
10 | Jill | 45 | 8000 |
=DGET(A4:C10,"Name",C1:C2) : Extracts a single value from Name column in the range A4 to C10, for the cells with Salary>8000.
Returns Bob as a result.
=DGET(A4:C10,2,C1:D2) : Extracts a single value from the second column (Age) in the range A4 to C10, for the cells with Salary>8000 and Age>32.
Returns 45 as a result.
=DGET(A4:C10,"Salary",A1:A3) : Extracts a single value from Salary column in the range A4 to C10, for all cells from the Name column.
Returns #N/A error message as there are more than one matching results.