Skip to main content

Vlookup to the Left with Index and Match function


What if your lookup value is to the right of the information that you want VLOOKUP to return? Conventional wisdom says VLOOKUP cannot handle a negative column number in order to go left of the key.

You are looking up names and want the department. But the lookup table has Department on the left and Name on the Right. It would be nice if you could =VLOOKUP(A2,Table,-1,False) but you can not specify -1 as the column to return.

One solution is =VLOOKUP(I7,CHOOSE({1,2},G1:G5,F1:F5),2,0). However, I prefer to use MATCH to find where the name is located and then use INDEX to return the correct value.

The solution is to use INDEX and MATCH. =INDEX($D$4:$D$11,MATCH(A2,$E$4:$E$11,0)).

Labels:

Comments

Post a Comment

Popular posts from this blog

20 Time Intelligence Dax Measures

20 Time Intelligence DAX measures in Power BI with examples: Year-to-Date Sales: css Copy code YTD Sales = TOTALYTD( [Total Sales] , Calendar [Date] ) Month-to-Date Sales: css Copy code MTD Sales = TOTALMTD( [Total Sales] , Calendar [Date] ) Quarter-to-Date Sales: css Copy code QTD Sales = TOTALQTD( [Total Sales] , Calendar [Date] ) Previous Year Sales: mathematica Copy code Previous Year Sales = CALCULATE ( [ Total Sales ] , SAMEPERIODLASTYEAR ( Calendar [ Date ] ) ) Year-over-Year Growth: css Copy code YoY Growth = DIVIDE( [Total Sales] - [Previous Year Sales] , [Previous Year Sales] ) Rolling 3-Month Average Sales: sql Copy code 3 M Rolling Avg Sales = AVERAGEX(DATESINPERIOD(Calendar[ Date ], MAX (Calendar[ Date ]), -3 , MONTH ), [Total Sales]) Cumulative Sales: scss Copy code Cumulative Sales = SUMX (FILTER(ALL(Calendar), Calendar [Date] <= MAX (Calendar[Date])), [Total Sales] ) Running Total Sales: scss Copy code Running Total Sales = SUMX (FILTER(ALL(Calendar), Calen...
Post a Comment
Read more

40 Power Query Editor features in Power BI

40 Power Query Editor features in Power BI along with examples: 1. Filter Rows: Remove rows based on conditions. Example: Remove rows with a null value in the "CustomerName" column. 2. Remove Duplicates: Eliminate duplicate rows. Example: Remove duplicate entries based on the "OrderID" column. 3. Sort Rows: Arrange rows in ascending or descending order. Example: Sort data by "Date" column in descending order. 4. Replace Values: Substitute one value with another. Example: Replace "N/A" with "Unknown" in the "Status" column. 5. Split Columns: Divide a column into multiple columns. Example: Split "FullName" into "FirstName" and "LastName." 6. Merge Queries: Combine data from multiple sources. Example: Merge customer and order data based on the "CustomerID." 7. Group By: Aggregate data based on a specific column. Example: Group sales data by "ProductCategory" and calculate the sum ...
Post a Comment
Read more

Data Cleaning Functions in Excel

  The CLEAN function Using the CLEAN function removes nonprintable characters text. For example, if the text labels shown in a column are using crazy nonprintable characters that end up showing as solid blocks or goofy symbols, you can use the CLEAN function to clean up this text. The cleaned‐up text can be stored in another column. You can then work with the cleaned text column. The CLEAN function uses the following syntax: CLEAN(text) The text argument is the text string or a reference to the cell holding the text string that you want to clean. For example, to clean the text stored in Cell A1, use the following syntax: CLEAN(A1) The CONCATENATE function The CONCATENATE function combines, or joins, chunks of text into a single text string. The CONCATENATE function uses the following syntax: CONCATENATE(text1,text2,text3,...) The text1, text2, text3, and so on arguments are the chunks of text that you want to combine into a single string. For example, if the city, state, and ZIP co...
Post a Comment
Read more