| Line 25: |
Line 25: |
| | {| 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="odd" | + | |- 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="even" | + | |- 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="odd" | + | |- 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="even" | + | |- 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="odd" | + | |- 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="even" | + | |- 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="odd" | + | |- 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="even" | + | |- 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="odd" | + | |- 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. ''Returns 'Bob''' as a result. | + | =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. ''Returns '45''' 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. <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. ''Returns '#N/A''' error message as there are more than one matching results. | + | =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== |