Skip to content
Free Excel Tutorials
  • Home
  • Excel For Beginners
  • Excel Intermediate
  • Advanced Excel For Experts

Data Analysis

  • Conflicting Multiple Conditional Formatting Rules in Excel
  • Understanding Anova in Excel
  • How to Create One and Two Variable Data Tables in Excel
  • Conditional Formatting Color Scales Examples in Excel
  • How to Create Area Chart in Excel

References

  • Left Lookup in Excel
  • Two-way lookup with VLOOKUP in Excel
  • Basic INDEX MATCH approximate in Excel
  • How to use Excel ROW Function
  • CHOOSE function: Description, Usage, Syntax, Examples and Explanation

Data Validations

  • Excel Data validation must begin with
  • Excel Data validation allow weekday only
  • Excel Data validation must not contain
  • Data validation must not exist in list
  • How To Create Drop-down List in Excel

Extract data with helper column in Excel

by

This tutorial shows how to Extract data with helper column in Excel using the example below;

Formula

=IF(rowcheck,INDEX(data,MATCH(rownum,helper,0),column),"")

Explanation

One way to extract data in Excel is to use INDEX and MATCH with a helper column that marks matching data. This avoids the complexity of a more advanced array formula.

In the example shown, the formula in H6 is:

=IF($G6<=ct,INDEX(data,MATCH($G6,helper,0),1),"")

How this formula works

The challenge with extraction formulas is managing duplicates (i.e. multiple matches). Lookup formulas like VLOOKUP and INDEX + MATCH can easily find the first match, but it’s much harder to lookup “all matches” when criteria select more than one match.

This formula deals with this challenge by using a helper column that returns a numeric value that can be used to easily extract multiple matches.

The formula in the helper column looks like this:

=SUM(E2,AND(C3=$I$3,D3=$J$3))

The helper column tests each row in the data to see if the Department in column C matches the value in I3 and the Building in column D matches the value in J3. Both logical tests must return TRUE in order for AND to return TRUE.

For each row, the result of AND is added to the “value above” in the helper column to generate a count. The practical effect of this formula is an incrementing counter that only changes when a (new) match is found. Then the value remains the same until the next match is found. This works because the TRUE/FALSE results return by AND are coerced to 1/0 values as part of the sum operation. FALSE results add nothing, and TRUE results add 1.

Back in the extraction area, the lookup formula for Name in column H looks like this:

=IF($G6<=ct,INDEX(data,MATCH($G6,helper,0),1),"")

Working from the inside out, the INDEX MATCH part of the formula looks up the name for the first match found, using the row number in column G as the match value:

INDEX(data,MATCH($G6,helper,0),1)

INDEX receives all 3 columns of data as the array (named range “data”), and MATCH is configured to match the row number inside the helper column (the named range “helper”) in exact match mode (3rd argument set to zero).

This is where the cleverness of the formula becomes apparent. The helper column obviously contains duplicates, but it doesn’t matter, because MATCH will match only the first value. By design, each “first value” corresponds to the correct row in the data table.

The formulas in columns I and J are the same as H, except for the column number, which is increased in each case by one.

The IF statement that wraps the INDEX/MATCH formula performs a simple function — it checks each row number in the extraction area to see if the row number is less than or equal to the value in G3 (named range “ct”), which is the total count of all matching records. If so, the INDEX/MATCH logic is run. If not, IF outputs an empty string (“”).

The formula in G3 (named range “ct”) is simple:

=MAX(helper)

Since the maximum value in the helper column is the same as the total match count, the MAX function is all we need.

Note: the extraction area needs to be manually configured to handle as much data as needed (i.e. 5 rows, 10 rows, 20 rows, etc.). In this example, it is limited to 5 rows only to keep the worksheet compact.

Post navigation

Previous Post:

COSH function: Description, Usage, Syntax, Examples and Explanation

Next Post:

Excel Data validation require unique number

Leave a Reply Cancel reply

Your email address will not be published. Required fields are marked *

Learn Basic Excel

Ribbon
Workbook
Worksheets
Format Cells
Find & Select
Sort & Filter
Templates
Print
Share
Protect
Keyboard Shortcuts

Categories

  • Charts
  • Data Analysis
  • Data Validation
  • Excel Functions
    • Cube Functions
    • Database Functions
    • Date and Time Functions
    • Engineering Functions
    • Financial Functions
    • Information Functions
    • Logical Functions
    • Lookup and Reference Functions
    • Math and Trig Functions
    • Statistical Functions
    • Text Functions
    • Web Functions
  • Excel VBA
  • Excel Video Tutorials
  • Formatting
  • Grouping
  • Others

Logical Functions

  • How to use Excel XOR Function
  • IF with wildcards in Excel
  • TRUE function: Description, Usage, Syntax, Examples and Explanation
  • IFNA function: Description, Usage, Syntax, Examples and Explanation
  • How to use Excel NOT Function

Date Time

  • How to calculate next scheduled event in Excel
  • EOMONTH function: Description, Usage, Syntax, Examples and Explanation
  • How to Calculate Age in Excel
  • Convert date string to date time in Excel
  • Convert Excel time to decimal seconds

Grouping

  • Group arbitrary text values in Excel
  • Group times into unequal buckets in Excel
  • Calculate conditional mode with criteria in Excel
  • Map text to numbers in Excel
  • Group times into 3 hour buckets in Excel

General

  • 44 Practical Excel IF function Examples
  • How to calculate profit margin percentage in Excel
  • Check if multiple cells have same value with case sensitive in Excel
  • Create dynamic workbook reference to another workbook in Excel
  • Sum by group in Excel
© 2025 xlsoffice . All Right Reserved. | Teal Smiles | Abbreviations And Their Meaning