Situation
Not always we want to lookup values based on one search parameter. For eg. Imagine you have data like below and you want to find how much sales Joseph made in January 2007 in North region for product “Fast car”?
Data:
Solution
Simple, use your index finger to scan the list and find the match 😉
Of course, that wouldn’t be scalable. Plus, you may want to put your index finger to better use, like typing . So, lets come up with some formulas that do this for us.
You can extract items from a table that match multiple criteria in multiple ways. See the examples to understand the techniques:
| Using SUMIFS Formula [help] | |
| Formula | =SUMIFS(lstSales, lstSalesman,valSalesman, lstMonths,valMonth, lstRegion,valRegion, lstProduct,valProduct) |
| Result | 1592 |
| Using SUMPRODUCT Formula [help] | |
| Formula | =SUMPRODUCT(lstSales,(lstSalesman=valSalesman)*(lstMonths=valMonth)*(lstRegion=valRegion)* (lstProduct=valProduct)) |
| Result | 1592 |
| Using INDEX & Match Formulas (Array Formula) [help] | |
| Formula | {=INDEX(lstSales,MATCH(valSalesman&valMonth&valRegion&valProduct, lstSalesman&lstMonths&lstRegion&lstProduct,0))} |
| Result | 1592 |
| Using VLOOKUP Formula [help] | |
| Formula | =VLOOKUP(valMonth&valSalesman&valRegion&valProduct,tblData2,7,FALSE) |
| Result | 1592 |
| Conditions: | A helper column that concatenates month, salesman, region & product in the left most column of tblData2 |
| Using SUM (Array Formula) [help] | |
| Formula | {=SUM(lstSales*(lstSalesman=valSalesman)*(lstMonths=valMonth)* (lstRegion=valRegion)*(lstProduct=valProduct))} |
| Result | 1592 |
Sample File
Download Example File – Looking up Based on More than One Value
Go ahead and download the file. It also has some homework for you to practice these formula tricks.
Also checkout the examples Vinod has prepared.
Special Thanks to
Rohit1409, dan l, John, Godzilla, Vinod
Similar Tips
- Excel SUMIFS Formula – What is it, how to use it & examples
- Excel SUMPRODUCT Formula – What is it, how to use it & examples
One Response to “Easily Convert JSON to Excel – Step by Step Tutorial”
Great guide! You mentioned that "Power Query in Excel offers a quick, easy and straightforward way to convert JSON to Excel." This is very true for simple structures. For those dealing with deeply nested JSON that Power Query struggles with, I've found a few tips helpful: 1) Flatten the JSON structure before importing if possible, 2) Use Python for more complex transformations as you suggested.