How can you analyze 1mn+ rows data – Excel Interview Question – 02

Share

Facebook
Twitter
LinkedIn
How-to handle more than million rows in Excel

As part of our Excel Interview Questions series, today let’s look at another interesting challenge. How-to handle more than million rows in Excel?

You may know that Excel has a physical limit of 1 million rows (well, its 1,048,576 rows). But that doesn’t mean you can’t analyze more than a million rows in Excel.

The trick is to use Data Model.

Excel data model can hold any amount of data

Introduced in Excel 2013, Excel Data Model allows you to store and analyze data without having to look at it all the time. Think of Data Model as a black box where you can store data and Excel can quickly provide answers to you.

Because Data Model is held in your computer memory rather than spreadsheet cells, it doesn’t have one million row limitation. You can store any volume of data in the model. The speed and performance of this just depends on your computer processor and memory.

How-to load large data sets in to Model?

Let’s say you have a large data-set that you want to load in to Excel.

If you don’t have something handy, here is a list of 18 million random numbers, split into 6 columns, 3 million rows.

Step 1 – Connect to your data thru Power Query

Go to Data ribbon and click on “Get Data”. Point to the source where your data is (CSV file / SQL Query / SSAS Cube etc.)

Get data > Get & Transform Data options

Step 2 – Load data to Data Model

In Power Query Editor, do any transformations if needed. Once you are ready to load, click on “Close & Load To..” button.

Close & Load to... options in Power Query

Tell Power Query that you want to make a connection, but load data to model.

Load data to Data Model in Excel

Now, your data model is buzzing with more than million cells.

Step 3 – Analyze the data with Pivot Tables

Go and insert a pivot table (Insert > Pivot Table)

Excel automatically picks Workbook Data Model. You can now see all the fields in your data and analyze by calculating totals / averages etc.

You can also build measures (thru Power Pivot, another powerful feature of Excel) too.

How to view & manage the data model

Once you have a data model setup, you can use,

  • Data > Queries & Connections: to view and adjust connection settings
  • Relationships: to set up and manage relationships between multiple tables in your data model
  • Manage Data Model: to manage the data model using Power Pivot
How to manage Data model in Excel - various options

Alternative answer – Can I not use Excel…

Of course, Excel is not built for analyzing such large volumes of data. So, if possible, you should try to analyze such data with tools like Power BI [What is Power BI?] This gives you more flexibility, processing power and options.

Watch the answer & demo of Excel Data Model

I made a video explaining the interview question, answer and a quick demo of Excel data model with 2 million rows. Check it out below or on my YouTube Channel.

Resources to learn about Excel Data Model

How do you analyze large volumes of data in Excel?

What about you? Do you use the data model option to analyze large volumes of data? What other methods do you rely on? Please post your tips & ideas in the comments section.

Facebook
Twitter
LinkedIn

Share this tip with your colleagues

Excel and Power BI tips - Chandoo.org Newsletter

Get FREE Excel + Power BI Tips

Simple, fun and useful emails, once per week.

Learn & be awesome.

Welcome to Chandoo.org

Thank you so much for visiting. My aim is to make you awesome in Excel & Power BI. I do this by sharing videos, tips, examples and downloads on this website. There are more than 1,000 pages with all things Excel, Power BI, Dashboards & VBA here. Go ahead and spend few minutes to be AWESOME.

Read my storyFREE Excel tips book

Overall I learned a lot and I thought you did a great job of explaining how to do things. This will definitely elevate my reporting in the future.
Rebekah S
Reporting Analyst
Excel formula list - 100+ examples and howto guide for you

From simple to complex, there is a formula for every occasion. Check out the list now.

Calendars, invoices, trackers and much more. All free, fun and fantastic.

Advanced Pivot Table tricks

Power Query, Data model, DAX, Filters, Slicers, Conditional formats and beautiful charts. It's all here.

Still on fence about Power BI? In this getting started guide, learn what is Power BI, how to get it and how to create your first report from scratch.

13 Responses to “Using pivot tables to find out non performing customers”

  1. David Onder says:

    To avoid the helper column and the macro, I would transpose the data into the format shown above (Name, Year, Sales).  Now I can show more than one year, I can summarize - I can do many more things with it.  ASAP Utilities (http://www.asap-utilities.com) has a new experimental feature that can easily transpose the table into the correct format.  Much easier in my opinion.

    David 

    • Chandoo says:

      Of course with alternative data structure, we can easily setup a slicer based solution so that everything works like clockwork with even less work.

  2. Martin says:

    David, I was just about to post the same!
    In Contextures site, I remember there's a post on how to do that. Clearly, the way data is layed out on the very beginning is critical to get the best results, and even you may thinkg the original layout is the best way, it is clearly not. And that kind of mistakes are the ones I love ! because it teaches and trains you to avoid them, and how to think on the data structure the next time.
     
    Eventually, you get to that place when you "see" the structure on the moment the client tells you the request, and then, you realized you had an ephiphany, that glorious moment when data is no longer a mistery to you!!!
     
    Rgds,

  3. JMarc says:

    Chandoo,
    If the goal is to see the list of customers who have not business from yearX, I would change the helper column formula to :  =IF(selYear="all",sum(C4:M4),sum(offset(C4:M4,,selyear-2002,1,columns(C4:M4)-selyear+2002)))
     This formula will sum the sales from Selected Year to 2012.

    JMarc

  4. Elias says:

    If you are already using a helper column and the combox box runs a macro after it changes, why not just adjust the macro and filter the source data?
     
    Regards

  5. RichW says:

    I gotta say, it seems like you are giving 10 answers to 10 questions when your client REALLY wants to know is: "What is the last year "this" customer row had a non-zero Sales QTY?... You're missing the forest for the trees...
    Change the helper column to:
    =IFERROR(INDEX(tblSales[[#Headers],[Customer name]:[Sales 2012]],0,MATCH(9.99999999999999E+307,tblSales[[#This Row],[Customer name]:[Sales 2012]],1)),"NO SALES")
    And yes, since I'm matching off of them for value, I would change the headers to straight "2002" instead of "Sales 2002" but you sort the table on the helper column and then and there you can answer all of your questions.

  6. Kevin says:

    Hi thanks for this. Just can't figure out how you get the combo box to control the pivot table. Can you please advise?
     
    Cheers

  7. Kevin says:

    Thanks Chandoo. But I know how to insert a combobox, I was more referring to how does in control the year in the pivot table? Or is this obvious?  I note that if I select the Selected Year from the PivotTable Field List it says "the field has no itens" whereas this would normally allow you to change the year??
     
    Thanks again

  8. Kevin says:

     
    worked it out thanks...
    when =data!Q2 changes it changes the value in column N:N and then when you do a refreshall the pivottable vlaues get updated 
     
    Still not sure why PivotTable Field List says “the field has no itens"?? I created my own pivot table and could not repeat that.

  9. Bermir says:

    Hi, I put the sales data in range(F5:P19) and added a column D with the title 'Last sales in year'. After that, in column D for each customer, the simple formula

    =2000+MATCH(1000000,E5:P5)

    will provide the last year in which that particular customer had any sales, which can than easily be managed by autofilter.

    • Bermir says:

      Somewhat longer but perhaps a bit more solid (with the column titles in row 4):

      =RIGHT(INDEX($F$4:$P$19,1,MATCH(1000000,F5:P5)),4)

Leave a Reply