Author Archive

Time for a quick but very useful tip. Ever wanted to create all combinations from two (or more) lists? a la Cartesian product of both lists.

Here is a ridiculously simple way to do it.

Wellington(NZ) sure is beautiful on a clear day. There are so many cool bike tracks, walking trails and beaches to keep you busy. Today, I went cycling on my usual route towards Makara beach. At the turn off point, I thought, “This is selfish. I can’t keep all this beauty to myself. I must share it with you.” So here we go.

A quick video about data analysis while on bike

Technically, I was not on bike when recording this video.  Watch it below or on our YouTube Channel.

Finally, spring weather showed up in Wellington this week. We cashed it as much as possible by going on treks, cycling trips, more treks and of course doing laundry.

Anyways, I don’t have time to blog. I must go out and help kids with some cycling. But I want to keep you busy this weekend. So here is a fun homework problem.

Does my range have all numbers from 1 to n?

Let’s say you have a range called range (duh!).  And you want to check if range has all the numbers 1 to n (say n=5) in it, each number appearing only once (no more, no less). You can assume the named ranges range and n in your formulas.

See above examples to understand the problem.

So go ahead and post your formulas in the comments section. I will sneak in whenever I can to look at all your creative answers.

Over at Flowing Data, Nathan has published an interesting visualization about spread of obesity.

While the above chart is quite interesting, it doesn’t offer much insight in to the data. There are a few drawbacks,

• Understanding obesity trends for a given state over the years is hard due to the layout and format of the chart.
• Finding which states are experiencing most obesity growth rates is not possible
• Ironically, the chart itself is obese. It takes too much space to explain the data.

Nevertheless, the chart looks cool and can be reused with smaller data-sets (quarterly trends or just for a few years). So let’s recreate the same in Excel. While we are at it, let’s also build an alternative visualization to explore the obesity data.

Its party time! A while ago, we ran a contest asking you to visualize financial metrics data. We got 30 awesome entries. Today let’s reward the winners.

But first a quick note: Congratulations to all the entrants. I have learned a lot just by playing with your files and exploring them. Thank you so much for taking time to share your knowledge with all of us.

Over the years, we have discussed a whole heap of techniques to visualize budget vs. actual charts. Today let’s take a ride on this slope again and learn another fun, silly & awesome way to depict target vs. actual progress.

Introducing biker on a hill chart

Tada!!!

Biker on a hill!?! Don’t worry, I didn’t fall down on a descent and lose my brain. I am talking about an Excel chart to visualize target vs. actual progress on a time line with biker on a hill analogy. See the above chart, you will know.

Looks interesting? Read on to learn how to create this in Excel.

Last week, I asked you to share an analysis problem that you couldn’t solve in Excel. We got quite a few very interesting problems in comments and email. In this post, let me explain how to solve Sara’s copy shop problem using Excel.

What is Sara’s copy shop problem?
Thanks to Caroline who posted this problem.

Sara wants to open a copy shop. Each copier costs $5,000 per year to lease. The rent & other fixed costs per month are $300. There is a $0.02 variable cost per copy. Each copier can print up to 100,000 copies per year. She plans to charge $0.11 per copy from her customers. Sara estimates that the demand can be any of the 4 values – 500, 1000, 1500 or 2000 copies per day.

1. Build a model to estimate profit per given number of copiers & demand values
2. Find the mix of copiers & demand values that can make maximum profit for Sara (copiers – 1 to 6, demand – 500 to 2000)

Time for a quick show & tell.

Tell me about an analysis problem that you couldn’t solve with Excel?

It can be because you didn’t know how to solve the problem or Excel isn’t the tool for it or any other reason.

Go ahead and speak up. Post your tricky analysis problems in the comments section.

Every week, we read news about failed analysis projects. If you listen carefully, you can hear the grunts, screams and curses of thousands of analysts all over the world about their analysis nightmares.

At Chandoo.org, we talk a lot about best practices for data analytics. So today, let’s peek in to the dark side and understand the mistakes that can turn your analysis project into a nightmare.

There are 3 parts in any analysis project

To understand these worst practices in analysis world, first let’s break analysis projects in to 3 parts.

• Requirements
• Data Structure
• Tools & Construction

Let’s deep dive in to each area of the analysis projects to see what can go wrong.

Around 2 months back, I asked you to visualize multiple variable data for 4 companies using Excel.  30 of you responded to the challenge with several interesting and awesome charts, dashboards and reports to visualize the financial metric data. Today, let’s take a look at the contest entries and learn from them.

First a quick note:

I am really sorry for the delay in compiling the results for this contest. Originally I planned to announce them during last week of July. But my move to New Zealand disrupted the workflow. I know the contestants have poured in a lot of time & effort in creating these fabulous workbook and it is unfair on my part. I am sorry and I will manage future contests better.

So here is a news from strange but true department. Microsoft Excel blamed for gene study errors [bbc.com].

Microsoft’s Excel has been blamed for errors in academic papers on genomics.
Researchers trying to raise awareness of the issue claim that the spreadsheet software automatically converts the names of certain genes into dates.
Gene symbols like SEPT2 (Septin 2) were found to be altered to “September 2”.

Aah, classic!

This is what happens when you spend countless hours learning genome sequencing and very little about the software tools where your data goes. May be we need clippy back to warn people about such sticky situations.

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.

At Chandoo.org, we are big believers of keyboard shortcuts. There are several posts (1,2,3,4, more and even more) discussing useful Excel shortcuts. Today I want to introduce a new kind of keyboard shortcuts. One hand shortcuts.

One hand shortcuts – Half the work, double the fun

The idea is simple. When you can use only one hand to complete the shortcut key presses, it is called as a one hand shortcut.

So we moved to Wellington, New Zealand few weeks back (on 17th of July 2016, to be precise). After spending first 3 weeks in Jeff’s house and a hotel, we moved in to our rental home over the weekend (on 6th of August). Around the same time, the worst of Wellington winter waved welcome to us. We quickly learned how to stay warm indoors (layers, hot water bottles, rugs and more layers). Kids started going to school few days back and they are loving it. I bought a bike and managed to go out on few rides on the hilly roads of Wellington and found a strange for sale sign too.

Anyhow, Since we didn’t have internet connection until today, I thought I will start by sharing a few Excel links with you. Check them out to get your fix of spreadsheets.

Read on…

First a little back story:

Last Friday (on 29th of July), we (Jo, kids & I) went on a day walk to Red Rocks. It is a rugged coastal walk near Owhiro bay in Wellington. It was a windy & cold day. So why did we brave the elements of nature on this 10km walk? To see seals of course. And we did find a few of them. We also caught glimpses of snowy peaks in Southern Island of New Zealand.

3 Seals Excel Puzzle

Now I can’t take you on the same walk thru internet. There is no Excel function that can teleport you from your office (or home) to Owhiro bay. So I made the next best thing.

An Excel puzzle with 3 hidden seals.