All articles with 'array formulas' Tag
Let’s say you have data like this in a spreadsheet. Don’t roll your eyes, I am 102% sure, right at this moment, someone is (ab)using Excel to create similar messy data.
How do you reshape it to one column?
You could use formulas, VBA or Power Query. Let’s examine all these methods to see what is best. All these methods assume your data is in a range aptly named myrange.Continue »
Game for some charting awesomeness?
Off late, I have been doing a lot of data analysis and visualization on performance ratings, salary hike, gender pay equality etc. Today let me share you an awesome way to visualize massive amounts of data.
Scenario: Your organization of 3,686 people recently went thru annual performance ratings & review process. At the end of it, everyone was offered some salary increase (from $0 to $24,000 per year). You have 7 business groups. How do you tell the story of all these salary hikes in one chart?
How about the one above?
Ready to know how to create this in Excel? Read on.Continue »
Let’s say you have some employee data in employee name, manager name format. But the data is all in one column, with odd rows containing employee names & even rows containing manager names. Something like above.
And you want to find out who is the boss for a given employee. Say, “Andrea Nichols”.
Your regular MATCH() formula for Andrea over the data range returns wrong answer as it will find first occurrence of Andrea (which in this case happens to be on even row, hence a manager record).
So how would you write the lookup formula?Continue »
First a quick personal update: There has been a magnitude 7.8 earth quake in NZ on 14th November 2016 early morning. It is centered in Kaikoura, which is about 250 km away from Wellington. We did feel several shakes and after shocks. It has been an interesting and often scary experience. But my family is safe. I feel very sad for the all the damage and the loss for families in NZ. If you suffered from this quake, My prayers and thoughts are with you.
Yesterday, a friend asked me an interesting question. He has school distance data, like above. He wants to know which is the closest school for each school.
There are a few ways to answer this question. Let’s examine two approaches – formulas & pivot tables and see the merits of both.Continue »
Imagine you work at MI5 as a HR officer. You want to find all agents who have license to kill (licence 7). Your data looks like above.
How would you go about it?
If you filter the list or use FIND() or SEARCH() formulas, you will end up with agents who also have licenses 77, 17 or not7. So how would you solve this problem?
Of course, you do what any smart person does. You summon Excel and ask it nicely by using some wicked pattern matching logic.Continue »
Over the weekend, I got an email from Mr. E, one of my students. Mr. E works at a police department in California and as part of his work, he was looking at calls received by police. Whenever police get a call for help, multiple teams can respond to the call and go to the location. All of these dispatches are recorded. So a single call can have several such dispatches. And Mr. E wanted to findout which team responded the first. The problem?
Finding the first responded team is tricky.
Today let’s take up this problem as a case study and understand various methods to solve it. We are going to learn about writing better lookups, pivot tables, power pivot and optimization. Put on your helmets, cause this is going to be mind blowingly awesome.Continue »
Okay, this is an extension of the Neither “A” Nor “B” sum problem we discussed few days back.
Imagine you have a table named mydata with a few columns and a stop list named stop.list as shown above.
How would you calculate,
- Sum of Hours for all activities excluding those in stop list?
- Sum of all Regular hours for activities not in stop list?
So go ahead and post your answers in the comments.Continue »
Today is Friday the 13th. If you are a raging friggatriskaidekaphobiac, I suggest you to stop reading this post. For the rest of you, I have something fun.
Given a year in cell C3, let’s find out all the months with Friday the 13th. Something like above.Continue »
Okay, time for another challenge.
Imagine you have some data like this. Each cell contains 3 numbers separated by line break – CHAR(10) and you need to extract the number that is 10 digits long.
Go ahead and solve this riddle.Continue »
This is the final part of our series on how to analyze half a million customer complaints. Click below links to read part 1 & 2.
Customer satisfaction scorecard
In the previous parts of this case study, we understood what kind of complaints were made and where they came from (states). For the customer satisfaction scorecard, let’s focus on individual companies.Continue »
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.Continue »
We all know that VLOOKUP (and its cousins MATCH, HLOOKUP and LOOKUP) are great for finding information you want. But they are helpless when you want to do a case-sensitive lookup.
So how do we write case sensitive VLOOKUP formulas?
Simple. We can use EXACT formula.Continue »
It looks up the first occurrence and returns corresponding data.
What if you want to find the last value?
Say, for example, you are looking at a task assignment list and want to know what is the last task assigned to employee Emp13?
We want to extract the task “Make amazing workbook”. Of course our good old VLOOKUP stops once it finds Emp13 and returns the answer as “Create intuitive workbook”.Continue »
Analyzing top n (or bottom m) items is an important part of any data analysis exercise. In this article, we are going to learn Excel formulas to help you with that.
Let’s say you are the lead analyst at a large retail chain in Ohio, USA. You are looking at the latest sales data for all the 300 stores. You want to calculate the total sales of top 10 stores. Read on to learn the techniques.Continue »
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.
- Who is the best seller?
- Who is the most active seller?
- Who is the most consistent seller?
- Which seller has fewest invoices?
Let’s go ahead and answer these using Excel. Shall we?Continue »