Hello, Namaste & Kia Ora. Welcome to Chandoo.org.
My name is Chandoo. My mission is to make you awesome in your work. I do this by sharing Excel & Power BI tutorials, examples, tips, videos and articles on this website. I live in Wellington, New Zealand with my beautiful wife Jo & our twins Nishanth & Nakshatra. Take a minute to browse various topics of the site to see how I can help you.
Thank you and welcome once again.
Last Friday, I asked you to analyze “sick leave entitlement vs. usage” data and answer homework questions. We got several interesting responses to that. Today, let me share a quick video highlighting how to analyze such data with Power Query.
This is part of our Power Mondays series, where every Monday you will learn something new & useful about Power BI, Power Query and Power Pivot.
Imagine you are the HR analyst at BigLargeCompany. You are asked to find out whether staff at BLC (BigLargeCompany you silly) use up their full sick leave entitlement.
You have two tables – emps & leaves as illustrated below.
Your mission is to find out answers to below questions.
Use either Power Query, Excel formulas or any other technique to answer the questions.
We all know VLOOKUP (or INDEX+MATCH) as an indispensable tool in our Excel toolbox. But what if you want the lookups to be a little gentler, nicer and relaxed?
Let’s say you want to lookup the amount $330.50 against a list of payments. There is no exact match, but if we look 50 cents in either direction, then we can find a match. Here is a demo of what I mean.
Unfortunately, you can’t convince VLOOKUP to act nice.
Hey VLOOKUP, I know you are awesome and all, but can you cut me some slack here?
VLOOKUP is tough, reliable and has a cold heart. Or is it?
In this post, let’s learn how to do lenient lookups.
Power BI allows you to create rich, interactive and informative reports. But it is also a massive pain to create beautiful yet functional reports with Power BI. Over the last 12 months of heavy usage, I have picked up a few tricks to speed up my Power BI report design time. In this post, let me share my top Power BI design tips for creating pretty reports.
Do you work with accounting or finance data? You are going to love, no scratch that, adore Power Query. It can save you precious time, make you look like a hero in-front of clients and keep you sane.
In this masterclass, learn all about Power Query for accountants (and other kinds of finance people) & 5 tips.
Why Power Query?
Power Query is a data processing software. Using Power Query, you can create process driven programs (queries) to collect data, clean or reshape it, calculate things and publish final output as a table. Once you create a query in PQ, when the underlying data changes, you just refresh the query and brand new data will be fetched, cleaned and published for you.
For example, you can use Power Query to combine ledger files from various accounts to one master file with Power Query. No more VBA or manual copy pasting. Just one query and you are done.
Psst. Hey you, yeah, you there… have time for a quick date? A date with Excel that is.
If so, take up this homework problem and post your answers in comments.
Assuming you have an input date in cell A1,
Post your answers in comments
Learn to how perform Maths on Tables of Numbers in Microsoft Word.
In this installment of Power Mondays, let’s go the very basics of it all.
What is Power BI?
Power BI is a software to create and publish interactive, web-enabled reports & visualizations for your audience. You can use Power BI on a PC or web to create things. Once you publish a report (or few visuals), your audience can consume them by using any device – PCs, Macs, Web browsers, Apps on cell phone / tablets etc.
BeginnerTables & Structural Referencing
Cell referencing
Excel operators
IF
IntermediateSUMIFS, COUNTIFS
VLOOKUP
INDEX + MATCH lookups
AdvancedMulti-condition lookups
Array Formulas
OFFSET
INDEX
Lists100+ Excel Formulas list
Top 10 formulas
15 Everyday formulas
Challenges & Home workExcel Homework
BeginnerExcel Pivot Table Tutorial
Multi-table pivots with data model
AdvancedDistinct count in Pivots
Ranking values in Pivots
GETPIVOTDATA
How to use slicers
Lists35 shortcuts & tricks for data analysis
Top 10 pivot table tricks
15 quick & powerful ways to analyze business data
ResourcePivot Tables Page
BasicsHow to pick right charts
Why bar charts should start at 0
Add a line to column chart
Correlation vs. Causation
ExamplesHand-drawn charts
Budget vs. Actual chart
Interactive charts
Chart typesHistograms & Pareto charts
Forecasting with charts
Gantt chart
Funnel chart
5 star chart
Indexed charts
Panel charts - Small multiples
AdvancedTarget vs. Actual progress - Biker on a hill chart
Stacked chart with indicators
Cropped chart - when some values are too big
Jitter plot
Joy plot
Step chart
Dynamic chart with check boxes
Lists & TricksCharting shortcuts & tricks
Using shapes in charts
Awesome chart titles with this trick
Use chart themes and styles
Use selection pane to work with charts faster
If you are new to Excel or have never used it, use below links to come up to speed.
Have been using Excel for a while? Check out these tutorials to learn more and become awesome.
Work with Excel a lot and know your game well? We have some very-advanced topics for you too. Check out:
Power BI is the most exciting thing to happen for your data since spreadsheets. If you are looking for a new skill to learn this year, I highly recommend Power BI. Check out below tutorials and get started today.
Introduction to Power BI – your first tutorial
Power BI Example – Commonwealth games tracker
Power Mondays – Learn all about Power BI, Power Query & Power Pivot
Learn how to work with data, make calculations, pivots, create amazing charts and powerful dashboards from scratch using Excel School + Dashboards program. Suitable for analysts, managers or professionals who need to use Excel often.
Use VBA to automate your tasks and build powerful spreadsheet based apps. In this course, learn all about how to program with VBA, how to use the language and object model to your advantage. Suitable for people who build a lot of things with Excel.
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