It is Olympic season. Everyone I know is tracking the games and checking their country’s performance. One thing that we notice when looking at medal tally is,
A single Gold medal is worth more than any number of Silver medals. Like wise, a single Silver medal is worth more than any number of Bronze medals.
So, when you look at the ranking of countries, you see countries with single Gold medal higher up than countries with lots of Silver and Bronze medals (but no Gold).
So how do we sort our data in Olympic medal table style?
It is simpler than it looks. All you have to do is use custom sort feature in Excel.
- Select your data
- Go to Home > Sort & Filter > Custom Sort
- Now specify the sort levels and sort orders.
- Click ok and you are done!
Using SORTBY() formula to sort the table
Excel 365 introduced a new formula to sort data by multiple-levels using formulas. SORTBY
Assuming your medal data is in the table named medals you can sort with below formula.
=SORTBY(medals, medals[Gold],-1, medals[Silver], -1, medals[Bronze],-1,
medals[Team / NOC],1)The -1 parameter tells SORTBY to sort in descending order.
Learn more about SORTBY function & other new formulas in Excel 365.
What if your version of Excel does not have SORTBY
Well, there is a work around. Add an extra column in your data and calculate sort order using a formula, as shown below.
Once you calculate sort order, sort on this column in descending order and you are done.
Video – Sorting Excel data in Olympic medal table style
Watch this short & fun video to learn the sorting technique outlined in this page.
Example file – Olympics Medal Table style sorting in Excel
Please download this Excel file if you want to practice the custom sort or SORTBY() approach.
Do you use custom sort?
Custom sorting is very useful when you 2-3 levels in your data. For example, sorting all projects by department & % completed or sorting all products by region & sales volume. I use it often to understand how my data is.
What about you? Do you use custom sort? What is your experience like? Please share your tips & thoughts using comments.
More Quick Tips on Sorting & Filtering
If you find yourself constantly sorting and filtering, then check out below tips. I am sure you will learn something new.
- Sorting:
- Custom sorting in Pivot tables
- Which formula to use to check if a list is sorted?
- Formula 1 style sorting in Excel
- How to round and then sort data in Excel
- Sorting text values using formulas!
- Shuffling a list in random order in Excel
- How to sort across columns (ie change sort orientation)
- Filtering:
- Filtering values using advanced filters
- How to filter odd or even rows only?
- Right click to filter fast…
One Response to “SQL vs. Power Query – The Ultimate Comparison”
Enjoyed your SQL / Power Query podcast (A LOT). I've used SQL a little longer than Chandoo. Power Query not so much.
Today I still use SQL & VBA for my "go to" applications. While I don't pull billions of rows, I do pull millions. I agree with Chandoo about Power Query (PQ) lack of performance. I've tried to benchmark PQ to SQL and I find that a well written SQL will work much faster. Like mentioned in the podcast, my similar conclusion is that SQL is doing the filtering on the server while PQ is pulling data into the local computer and then filtering the data. I've heard about PQ query folding but I still prefer SQL.
My typical excel application will use SQL to pull data from an Enterprise DB. I load data into Structured Tables and/or Excel Power Pivot (especially if there's lot of data).
I like to have a Control Worksheet to enter parameters, display error messages and have user buttons to execute VBA. I use VBA to build/edit parameters used in the SQL. Sometimes I use parameter-based SQL. Sometimes I create a custom SQL String in a hidden worksheet that I then pull into VBA code (these may build a string of comma separated values that's used with a SQL include). Another SQL trick I like to do is tag my data with a YY-MM, YY-QTR, or YY-Week field constructed form a Transaction Date.
In an application, I like to create a dashboard(s) that may contain hyperlinks that allow the end-user to drill into data. Sometimes the hyperlink will point to worksheet and sometimes to a supporting workbook. In some cases, I use a double click VBA Macro that will pull additional data and direct the user to a supplemental worksheet or pivot table.
In recent years I like Dynamic Formulas & Lambda Functions. I find this preferable to pivot tales and slicers. I like to use a Lambda in conjunction with a cube formula to pull data from a power pivot data model. I.E. a Lambda using a cube formula to aggregate Accounting Data by a general ledger account and financial period. Rather than present info in a power pivot table, you can use this combination to easily build financial reports in a format that's familiar to Accounting Professionals.
One thing that PQ does very well is consolidating data from separate files. In the old days this was always a pain.
I've found that using SQL can be very trying (even for someone with experience). It's largely an iterative process. Start simple then use Xlookup (old days Match/Index). Once you get the relationships correct you can then use SQL joins to construct a well behaved SQL statement.
Most professional enterprise systems offer a schema that's very valuable for constructing SQL statements. For any given enterprise system there's often a community of users that will share SQL. I.E. MS Great Plains was a great source (but I haven't used them in years).
Hope this long reply has value - keep up the good work.