All articles in 'Power Query' Category
Ever wondered how to undo in Power Query. If you try to press CTRL+Z or look for undo icon in Power Query (either in Excel or Power BI), you will not find it. The reason is simple. There is no undo in Power Query. So how to undo ?Continue »
So you have decided to up your game with Excel and / or Power BI this year and now ravenously looking for books to read. You have come to the right place. Here is my list of recommended best Excel books, and books on Power BI, visualization, dashboards, VBA, Macros and analytics.
Use below links to navigate the relevant section of this page:Continue »
FIFA world cup 2018 is around the corner. I love soccer, I love Excel, Let’s marry them. Here is an awesome, free FIFA world cup Excel Tracker to help you follow this year’s games in Russia.
What you can do with this FIFA world cup Tracker Excel?
You can use this tracker to,
- View schedules in your local time for group and knockout stages
- View summary and detailed points table
- Refresh live points table. When you refresh, the tracker show updated points based on latest results (You need Excel 2016, Office 365 or older versions of Excel with Power Query)
- View knockout stage matches as a bracket
- See timeline of the matches
We all know that Pivot Tables are best thing since avocado on toast. But they can’t slice text values and spread them in a table with Pivots. So how to take a large blob of text and turn it in to something meaningful like above?
Simple, we use Power Query.Continue »
Commonwealth games 2018 have ended in the weekend. Let’s take a look at the games data thru Power BI to understand how various countries performed.
Here is my viz online or you can see a snapshot above.
Looks good, isn’t it? Well, read on to know how it is put together.Continue »
The 2018 edition of Commonwealth games are on for a week now. Both of my homes – India and New Zealand have been doing so well. Naturally, I wanted to gather games data and make something fun and creative from it. Here is my attempt to amuse you on this Friday.
Looks interesting? Want to know how to make something like this on your own? Then read on…Continue »
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 »
Let’s take a whirlwind trip to coolest little capital – Wellington. It is a windy place, so hold on to your hats and spreadsheets.
Almost everyone who spends more than 2 days in Wellington would agree that it is a windy place. But how windy is Welly? In this two part series, we will use Power Query, Excel charts and coffee to answer that question.
But, first let’s start with a joke.
What happens when you throw a boomerang in Frank Kitts Park?
You will have to buy another one, coz you are not getting that one back.Continue »
Before we begin:
Today is the last day for enrolling in our Power BI Play Date. Don’t miss out on this amazing opportunity to learn, use and benefit from Power BI at your work. Check out my online class and sign up before the doors close at midnight. Click here.
Let’s get our Simpsons on then.
D’oh, How often Homer says his favorite things?
Here is the visualization to explore Homer’s (and other character’s) favorite sayings in 27 years worth of Simpsons episode. Click on the image to play.Continue »
Introducing Data from Hell:
Watch out, its data from hell. In this new video series, we are going to examine some nutty, frustrating and fun data reshaping challenges and solve them using Excel. We will use Power Query, Formulas, VBA or other features as needed to free this data from damnation.
For our first installment, let’s reshape unevenly spaced list of values to a table.Continue »
Yesterday we saw a beautiful example of panel charts with R. Today let me show you how to create the same (or even better) with Power BI & R. What you need: Power BI Desktop and R Raw data set – rem-data.csv Creating Panel Charts in Power BI with R Load CSV data in to […]Continue »
Let’s say you got some text values and want to extract the amounts from them. Something like above.
How to go about it?
We could use a variety of techniques to extract the values.
- Formulas – not easy given the unstructured nature of data. But almost possible. See this for an example.
- VBA – possible, read this forum discussion few ways to do it.
- Power Query – at first glance it might seem tricky, but PQ makes this all too easy. Read on.
When faced with tough problems I react in one of three ways
- Come up with ingenious solutions
- See if a simpler cheat solution is possible
- Sit back and ignore
For most problems, I choose 3rd reaction. Occasionally, I rely on 2nd option and very rarely the first one.
When faced with a tricky time sheet summary problem (as outlined above), after initial lethargy I wanted to solve it.Continue »
Let’s say you are the people manager at ACME Inc. You are looking staff list for the months – January and February 2017. You see that we had 4,000 employees in Jan and 4,200 employees in Feb. So what is the churn?
- Is it just 200?
- Or is it the sum of people who left and who joined?
- What if you want to find out how many people moved to new designations / departments or groups?
You see, churn is tricky to figure out.
So why not invite the pros? ie Power Query.Continue »
Or more appropriately titled, the one where Power Query solves the problem in less time than it takes you to say Get & Transform Data.
Recently, one of my students Mr. K, sent me a pivot table problem.
Today my boss asked me “how much we paid to staff since the inception of our business with their respective date of joining?” He wanted to know, level wise summary of the last 16 years (on Quarterly / Year wise basis).
The records appended from the database month wise. Have a look to the file and give your ideas.
Mr. K’s data looked like above.Continue »