How to use Excel Data Model & Relationships

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Have you ever been in a VLOOKUP hell?

Its what happens when you have to write a lot of vlookup formulas before you can start analyzing your data. Every day, millions of analysts and managers enter VLOOKUP hell and suffer. They connect table 1 with table 2 so that all the data needed for making that pivot report is on one place. If you are one of those, then you are going to love Excel’s data model & relationships feature.

Table relationships & Data model feature of Excel - cartoon

In simple words, this feature helps you connect one set of data with another set of data so that you can create combined pivot reports.

Practical Example – V(X)LOOKUP hell vs. Data Model heaven

Lets say you are looking sales data for your company. You have transaction data like below.

Example data

And you want to find out how many units you are selling by product category and customer’s gender.

Unfortunately, you only have product ID & customer ID.

With VLOOKUP Hell,

  1. You first fetch all the customer and product data and place them in separate ranges.
  2. Then write a vlookup formula to fetch product category, another to fetch customer gender.
  3. Then fill down the formulas for entire list of transactions.
  4. Now make a pivot table.

Assuming you have 30,000 transactions, you have to write 60,000 VLOOKUP formulas to create this one report!!!

With Data Model heaven,

  1. Create relationships between Sales, Products & Customer tables
  2. Create a pivot table

Creating a relationship in Excel – Step by Step tutorial

  1. Relationship feature in Excel 2013 data ribbon tab
    First set up your data as tables. To create a table, select any cell in range and press CTRL+T. Specify a name for your table from design tab. Read introduction to Excel tables to understand more.
  2. Now, go to data ribbon & click on relationships button.
  3. Click New to create a new relationship.
  4. Select Source table & column name. Map it to target table & column name. It does not matter which order you use here. Excel is smart enough to adjust the relationship.
    Creating a new relationship in Excel 2013 - how to?
  5. Add more relationships as needed.

Using relationships in Pivot reports & analysis

  1. Select any table and insert a pivot table (Insert > Pivot table, more on Pivot tables).
  2. Make sure you check the “Add this data to data model” check box.
    Adding a pivot table with data model in Excel 2013
  3. In your pivot table field list, check “ALL” instead of “ACTIVE” to see all table names.
  4. Select fields from various tables to create a combined pivot report or pivot chart

Example: Category & Gender Sales Report

  1. Add category to row labels
  2. Add gender to column labels
  3. Add quantity to values
  4. and your report is ready!
Example Pivot report made with Excel data model

Things to keep in mind when you using relationships

  • Same data types in both columns: Columns that you are connecting in both tables should have same data type (ie both numbers or dates or text etc.)
  • One to one or One to many relationships only: Excel 2013 supports only one to many or one to one relationships. That means one of the tables must have no duplicate values on the column you are linking to. (for example products table should not have duplicate product IDs).
  • You can add slicers too: You can slice these pivot tables on any field you want (just like normal pivot tables). For example, you can further slice the above report on customer’s profession or product’s SKU size.

Benefits of Data Model based Pivot Tables

Once you have a data model in spreadsheet, you will enjoy several benefits (apart from multi-table pivots that is). They are,

  • Distinct counts: This simple but often tricky to calculate number is easy to get once you have data model based pivot. Just go to value field settings and change the summary type to “Distinct count”. Here is a tip explaining how to get distinct counts in Excel pivots.
  • Measures & DAX: Once you have a Data Model, you can unleash the full Power Pivot features on your workbook. You can create measures (using DAX language) and calculate things that are otherwise impossible with regular Excel. Here is an example of percentage of something calculation with DAX & Data Model, to get started.
  • Pivots from data in other files & databases: You can combine data model with the abilities of Power Query to create pivots from data in other places. For example, you can make a pivot from sales data in SAP with customer data in CRM system. Here is an overview of what is Power Query?
  • Pivots from more than 1mn rows of data: You can connect to very large datasets and make pivots from them with the help of data model. Here is a demo of how to set up data model for 1+mn rows of data.
  • Convert Pivot Tables to formulas: Once you have a data model based pivot table, you can turn it in to a set of formulas. You can access this feature from “Analyze” ribbon. This will replace your pivot with a bunch of CUBE formulas. Here is an overview of CUBE formulas.

Drawbacks of Data Model:

Of course, its not all cup cakes and coffee with Data Model. There are a few drawbacks of data model based pivot tables.

  • Compatibility: Data model & relationship feature is available only in Excel 2013 or above. This means, you cannot create or share such pivot reports with people using older versions of Excel.
  • Not able to group data: In regular Pivot Tables, you can group numeric, data or text fields. But with data model pivot tables, you can no longer group data. You must create another table with the group mapping and use it as a relationship.

Download Example File

Click here to download Excel data model demo file. It contains 3 different tables and a combined pivot report (with slicer) to show you what is possible.

Do you use relationships?

Ever since discovering PowerPivot, I kind of stopped using VLOOKUP (or XLOOKUP) for most of my own analysis. Now that relationships are part of main Excel functionality, I am using them even more.

What about you? Are you using relationships & data model in Excel? What cool things are you doing with it? Share your tips with us using comments.

Want even more? Try PowerPivot

If you want even more out of your reports, then try PowerPivot. It is a new feature in Excel 2013 (available as add-in in Excel 2010) that can let you do lots of powerful analysis on massive amounts of data. Here is an introduction to PowerPivot.

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30 Responses to “Rescue oddly shaped data – Battle between Formulas, VBA and Power Query”

  1. MF says:

    Nice use of Power Query! Power Query is simply awesome! But somehow a lot of people are punishing themselves by not using it (not learning it).

    An imperfect 4th approach for consideration... no codes at all...
    Select myrange.
    Go to Special --> Blank
    Delete Cell --> Shift cell left
    90% done... now we just need to move the data of 2nd column to the bottom of 1st column
    Of course... Power Query is the best.
    Cheers,

  2. There is another way but it involves multiple steps:
    Copy the values in column E, move the cursor to F5, Paste Special with Skip Blanks, OK
    Copy the values in column D, move the cursor to F8, Paste Special with Skip Blanks, OK
    And so on.
    This works perfectly, albeit a little clumsily apart from the values in B17 and C16, which can be moved with simple copy and paste

  3. Robson says:

    Power Query Forever! I do not know how I survived for so long without knowing and using this tool, I can not recommend it to my colleagues, but by the way they prefer to suffer to learn.

    My congratulations here from Brazil.

  4. Haz says:

    I rolled my eyes when I saw that data

    Using decimal places is a nice trick to order data, thanks for that

    And tweaking the first formula a bit, you can use OFFSET instead of INDIRECT

    =OFFSET($A$1, MIN(IF(myrange, ROW(myrange)), ROWS(A$1:A1))-1, RIGHT(TEXT(MIN(IF(myrange, ROW(myrange) + COLUMN(myrange)*0.00001), ROWS(A$1:A1)), ".00000"), 5)-1)

    • Michael Connor says:

      Tried the above formula with the downloaded oddly shaped data file and I could not get it to work. I get #value without ctrl+shift+enter, and #ref with ctrl+shift+enter.

      • Haz says:

        Sorry, it was SMALL, not MIN.
        Add with CTRL+SHIFT+ENTER.

        • Michael Connor says:

          Thank you for your formula. Like the indirect formula I tested this one in older versions of EXCEL and it worked without ALTERATION in EXCEL 95. Very impressive.

  5. Bertie Hechter says:

    Too complicated

    Use =Sum to summarize all the sells to the left and Bobs Your Uncle

  6. Michael Connor says:

    I tested this formula in versions of Excel all the way back to Excel 95

    =IF(ISERROR(INDIRECT("R"&SUBSTITUTE(TEXT(SMALL(IF(MyRange"",ROW(MyRange)+COLUMN(MyRange)*0.00001),ROWS(A$1:A9)),"00000.00000"),".","C"),FALSE)),"",(INDIRECT("R"&SUBSTITUTE(TEXT(SMALL(IF(MyRange"",ROW(MyRange)+COLUMN(MyRange)*0.00001),ROWS(A$1:A9)),"00000.00000"),".","C"),FALSE)))

    So there are multiple ways of cleaning up messy data by formulas.

    • Chandoo says:

      Wow.. Excel 95. Who knew people still use that. But as you have shown, Excel has all these beautiful and powerful functions for 23 years. It has data sciency stuff before DS was even a thing.

      • Michael Connor says:

        I had a problem with pasting the formula in the original post.
        Formula should be: =IF(ISERROR(INDIRECT("R"&SUBSTITUTE(TEXT(SMALL(IF(myrange"",ROW(myrange)+COLUMN(myrange)*0.00001),ROWS(A$1:A1)),"00000.00000"),".","C"),FALSE)),"",(INDIRECT("R"&SUBSTITUTE(TEXT(SMALL(IF(myrange"",ROW(myrange)+COLUMN(myrange)*0.00001),ROWS(A$1:A1)),"00000.00000"),".","C"),FALSE)))

        EXCEL even in a 16 bit version, is a very robust and capable program.

  7. Michael Connor says:

    I don't like the VBA code. If you have a blank row in MyRange, the last entry in the range is doubled up in the paste.here range.

    • Chandoo says:

      Not really. The macro is writing one cell at a time from paste.here. You have to clean the range before, which I was too lazy to write. But a line like Range(range("paste.here"), range("paste.here").end(xldown)).clearcontents should do the trick.

      • Michael Connor says:

        Adding Range(range("paste.here"), range("paste.here").end(xldown)).clearcontents fixed the problem.

  8. A Rakesh Patro says:

    for step split column by delimiter i am not getting option of split into rows or columns. Can you help me in this

  9. Marc says:

    Thanks Chandoo for promoting Power Query.

    To simplify further, you can "Unpivot Columns" instead of right click on the newly created column and split it by comma in to rows in step 3 of Power Query.

  10. johan says:

    i used

    =LOOKUP(10000,B5:F5)

    and got the answers. I just plagiarized this formula somewhere and use it, maybe you can explain why it works.
    Regards

    • Chandoo says:

      @Johan... I am not sure if the formula works correctly. When I tested it with the sample data in this post, it showed #N/As in two cells. Essentially, it will only give first value in each row. So if a row has multiple values, then subsequent values are missed. LOOKUP() function goes thru a list and finds the first value that is less than or equal to the input - in this case 10000 in B5:F5.

  11. Ben says:

    I have the need to convert pdf's to excel on occasion and they often come out a mess like this. I have used:

    Cell G2 =COUNT(myrange)
    Cell G3 =IFERROR(IF(G2-1<1,"",G2-1),"") copied down to G100
    Cell H2 =IFERROR(LARGE(myrange,G2),"") copied down to H100

  12. Patrick says:

    Waouw...

    =IFERROR(INDIRECT("R" & SUBSTITUTE(TEXT(SMALL(IF(myrange "", ROW(myrange) + COLUMN(myrange)*0.00001),
    ROWS(A$1:A1)), "00000.00000"), ".", "C"), FALSE), "")

    but CTRL Shift Enter with {} before and after 🙂 😀

  13. Peter B says:

    Another possibility.
    This assumes that you have a row index 'k' to use in the SMALL function and a column index 'h' to identify the columns of 'myRange'.
    If you define 'coord' to refer to
    =k+h/10 [assuming h<10]
    then it will be possible to recover values later based upon location within 'myRange'. The formula 'nb' that identifies non-blanks by coordinates is given by
    = SMALL( IF(myRange"", coord), k )
    Finally, to unpick the pieces
    = INDEX( myRange, INT(nb), 10*MOD(nb, 1) )

  14. Peter B says:

    Whilst I am here and making trouble the PQ solution is also a tad over-complicated. All that is needed is to unpivot the entire table and remove the Attribute column.

    The advanced editor would show
    let
    Source = Excel.CurrentWorkbook(){[Name="myRange"]}[Content],
    #"Unpivoted Columns" = Table.UnpivotOtherColumns(Source, {}, "Attribute", "Value"),
    #"Removed Columns" = Table.RemoveColumns(#"Unpivoted Columns",{"Attribute"})
    in
    #"Removed Columns"

  15. vivian.liu says:

    1.fill the blank cells with 0
    2.the requested column value=sum of those mess number column
    but this can be used in only one column has value

  16. Juan Carlos Barreto says:

    Chandoo

    And if we use the formula SEARCH (100000000, B5: F5)

    JC

  17. Daniel Dion says:

    Another approach with Power Query, it will still work if the number of columns changed:
    let
    Source = Excel.CurrentWorkbook(){[Name="myrange"]}[Content],
    #"Added Custom" = Table.AddColumn(Source, "List", each Record.ToList(_)),
    #"Removed Other Columns" = Table.SelectColumns(#"Added Custom",{"List"}),
    #"Expanded LIst" = Table.ExpandListColumn(#"Removed Other Columns", "List"),
    #"Filtered Rows" = Table.SelectRows(#"Expanded LIst", each ([List] null))
    in
    #"Filtered Rows"

  18. Bob says:

    Nowadays, you can just use TOCOL on Excel 2024, MS 365, and Web Excel. It has a parameter to ignore blanks/errors/both.

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