All articles with 'sumifs' Tag

Road Trip Planner Template [Excel Downloads]

Published on Feb 1, 2017 in Learn Excel
Road Trip Planner Template [Excel Downloads]

We recently went on a road trip around parts of New Zealand’s north island. We have been to Taupo, Rotorua, East Cape and Napier. It took us 2 weeks, we drove more than 2,000 km and spent almost NZ $3,000 on the trip. Of course, being a data nerd, I made a plan of the trip in Excel and that helped us budget for this.

After getting back to home, I thought it would be fun to polish the planner workbook and share it with you all so you too can plan a fabulous road trip. So here we go.

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Sum up neither “A” nor “B” values – How to use DSUM function in Excel [video]

Published on Jun 8, 2016 in Excel Howtos, Learn Excel
Sum up neither “A” nor “B” values – How to use DSUM function in Excel [video]

We know how to use SUMIFS function to answer questions like, “What is the sum of values for ‘A’?”  But how would you answer questions like,

  • What is the sum of values that are neither “A” nor “B”?

We can still use SUMIFS, but it will get awfully long. So let’s turn our attention to other functions in Excel.

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Analyzing half a million customer complaints – Regional Trends [Part 2 of 3]

Analyzing half a million customer complaints – Regional Trends [Part 2 of 3]

This is part two of our three part series on how to analyze half a million customer complaints. Read part 1 here.

Analyzing Regional Trends

As introduced in part 1, our complaints dataset has geographical information too. We know the state & zip code for each complaint. Please note that zip codes are partial or missing for a 10% of the data.

In this article, let’s explore three ways to analyze regional trends.

  1. Regional trends by state, product & issue
  2. Complaints per million by state
  3. Complaints by zip code
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Formula Forensics 040 – Apportioning Sales by Criteria

Published on Feb 15, 2016 in Excel Howtos, Formula Forensics, Huis, Posts by Hui
Formula Forensics 040 – Apportioning Sales by Criteria

Lets look at how to apportion sales according to multiple criteria

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Pricing Tier Lookup formula

Published on Dec 1, 2015 in Excel Howtos, Learn Excel
Pricing Tier Lookup formula

Here is an interesting twist on the good old VLOOKUP. How to find the pricing applicable for given quantity of a product?

Something like above.

Looks interesting? Then read on…

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Employee training tracker & calendar – tutorial & download

Published on Nov 4, 2015 in Charts and Graphs, Learn Excel
Employee training tracker & calendar – tutorial & download

Imagine you are the head of training department at ACME Inc. You arrange training programs round the year to empower your team. It is hard work, coordinating between employees, trainers, department heads, venues and coffee machines. What if there is something to help you keep track of all this? I am not talking about getting you a shiny new iPad, you silly. I am talking about a tracker & calendar built in Excel that ties everything together (well, almost everything, you still have to fill the coffee machine.)

We are going to build a training program tracker & calendar using Excel.

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CP030: Detecting fraud in data using Excel – 5 techniques for you

Published on Feb 19, 2015 in Analytics, Podcast Sessions

In the 30th session of podcast, let’s learn how to uncover fraud in data.

How to detect fraud in data - 5 techniques for you - CP030 - podcast

What is in this session?

In the wake of hedge fund scams, accounting frauds and globalization, We, analysts are constantly second guessing every source of data. So how do you answer a simple question like, “am I being lied to?” while looking at a set of numbers your supplier has sent you.

That is our topic for this podcast session.

In this podcast, you will learn

  • Quick announcements about 50 ways & 200k BRM
  • Introduction to fraud detection
  • 5 techniques for detecting fraud
    • Benford’s law
    • Auto correlation
    • Discontinuity at zero
    • Analysis of distribution
    • Learning systems & decision trees
  • Implementing these techniques in Excel
  • A word of caution
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Who is the most consistent seller? [BYOD]

Published on Feb 18, 2015 in Analytics, Excel Howtos, Pivot Tables & Charts
Who is the most consistent seller? [BYOD]

Who is the most consistent of all?

Imagine you are a category manager at a large e-commerce company. Your site offers various products, but you don’t really make these products. You list products made by other vendors on your site. Every day, these vendors would send you invoices for the amount of product they have sold. Above is a snapshot of such invoices.

Looking at this list, you have a few questions.

  1. Who is the best seller?
  2. Who is the most active seller?
  3. Who is the most consistent seller?
  4. Which seller has fewest invoices?

Let’s go ahead and answer these using Excel. Shall we?

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Looking up when the data won’t co-operate (case study)

Published on Nov 4, 2014 in Excel Challenges, Excel Howtos
Looking up when the data won’t co-operate (case study)

Occasionally we deal with data that is so uncooperative that we might as well give up and go back to calculators & ledger books.

Recently I found myself in such a situation and learned something new.

Introducing … data that won’t play nice

Drum roll please. Here is a data-set that I got from somewhere.

The problem – build a lookup formula

And the problem. Oh, simple. Write a lookup formula to find how many customer walk-ins we have on any given day.

But how?

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The ultimate VLOOKUP trick – Multi-condition Lookup

Published on Oct 28, 2014 in Learn Excel
The ultimate VLOOKUP trick – Multi-condition Lookup

This is a guest post by Sohail Anwar.

Let’s not bore you with an intro. You are about to learn a VLOOKUP trick that Lucifer himself would not want you to know. It’s so absurdly powerful that it was developed in a lab and had to be tested on Rocky’s arch nemesis Ivan Drago.

Presenting the Multiple criteria VLOOKUP!

…boring…pass, we’ve seen it.

Oh, have you? Not like this you haven’t. This will change the way you work with Excel.

Let me start with an easy example. Here’s some data and we would love to know what Bb and Dd is.

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A better chart to visualize “Best places to live” – Top 100 cities comparison Excel chart

Recently, I saw this chart on Economist website.

It is trying to depict how various cities rank on livability index and how they compare to previous ranking (2014 vs 2009).

Best cities to live - Chart from

As you can see, this chart is not the best way to visualize “Best places to live”.

Few reasons why,

  • The segregated views (blue, gray & red) make it hard to look for a specific city or region
  • The zig-zag lines look good, but incredibly hard to understand % changes (or absolute changes)
  • Labels are all over the place, thus making data interpretation hard.
  • Some points have no labels (or ambiguous labels) leading to further confusion.

After examining the chart long & hard, I got thinking.

Its no fun criticizing someones work. Creating a better chart from this data, now thats awesome.

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Story of my first ever 200KM bike ride (plus an Excel dashboard with ride stats)

Story of my first ever 200KM bike ride (plus an Excel dashboard with ride stats)

Ok people. Let me tell you that this post is almost not about Excel. It is about how one Excel blogger’s (yours truly) dream of long distance cycling came true. So sit back, grab your favorite drink and read between sips.

So what is this all about?

Last Sunday (27th July) & Monday (28th), I finished my first ever 200KM bicycle ride. I rode for a little more than 12 hours, burned 5,179 calories & rode 206 kilometers.

It is definitely one of the most memorable, tiresome & uplifting experiences in my life. So naturally, I want to share the story with you.

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Matching transactions using formulas [Accounting]

Published on Jun 6, 2014 in Excel Howtos, Learn Excel
Matching transactions using formulas [Accounting]

Imagine you are the head of Accounts Receivable department at a large company. Drab, I know, But humor me and imagine.

Now, every month you get a transaction report.

And you want to know which numbers are matching up.

i.e, if your company gave Vendor-0002 $872.34 on 1st of April, 2014 and your received below payments from them subsequently,

  • $427.77 on 1st April
  • $152.88 on 2nd April
  • $291.69 on 2nd April

Then you consider the account matched since the total received is same as total payable.(427.77 + 152.88 + 291.69 = 872.34).

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CP007: aweSUM() – Overview of SUM functions in Excel

Published on May 1, 2014 in Podcast Sessions, Learn Excel
CP007: aweSUM() – Overview of SUM functions in Excel

In the 7th session of podcast, lets make you aweSUM().

Imagine for a second that Excel cannot add up numbers. And no it cant subtract them either. What would that look like?

A glorified Notepad. That’s right. Excel’s ability to add up numbers, along with features like formulas, charts, pivot tables & BHATTEXT() are what make it such a lovely software. May be not the BHATTEXT(), but we all agree that Excel is so versatile and useful because it can add up numbers (and perform other calculations) with ease.

But how well do you know the SUM formulas of Excel?

In this podcast, you will learn,

  • Special personal fruit announcement 😛
  • + operator
  • Status bar & total rows in tables
  • Auto Sum feature
  • SUM() function
  • SUMIFS function
  • Special cases of SUMIFS function
  • SUBTOTAL & AGGREGATE functions
  • Other summing functions – SUMPRODUCT etc.
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Introduction to Structural References

Published on Jun 26, 2013 in Learn Excel

Ever seen a formula like =SUMIFS(Sheet1!B2:B3923, Sheet1!C2:C3923, A1, Sheet1!D2:D3923, A2) and wondered what it is really doing?!?

If so, you are not alone.

Formulas written with cell references tend to look complicated and clunky. What if we could write formulas in plain English?

That is what Structural References do. When using structural references in formulas, your focus will be on your data, not on which cell ranges the data takes up.

For example, you can write formulas like these:
1) SUM(mySales[no. of customers]) to find how many customers we had.
2) SUMIFS(mySales[no. of customers], mySales[product], “FastCar”) to find how many customers bought “FastCar”

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