![]() I can do the same thing with Excel’s Search and Replace’. Customer XYZ sometimes is listed as XY&Z.We’ll use right-click-column to fix inconsistent customer names. That doesn’t even include the additional transformation powers of ‘Group By,’ ‘Add Column From Examples’ and ‘Add as New Query.’Ī whole lot of something is going on here. I count 42 data cleaning possibilities just from what’s visible. Select a data cleaning function Let’s take a look. You need the ‘power’ of Power Query to turn night into day.ĭid you know that Power Query’s most potent data cleanups are just a right-click away? Let me share the secret. It doesn’t suit your needs right out of the box. It’s just that the data does not fit yourview of the world. If you’re like me, you get crappy data from your source systems. Doug Burke shares with us how easy Power Query makes it to do powerful cleaning with a click of the mouse. To enter our formula, select the gear to the right of Inserted Trimmed Text in your Applied Steps to edit the formula.As a ‘water cooler’ of sorts for this community, we meet some amazing people. This will automatically create a new column named “Trim”. ![]() Step 1: Under the Add Column tab, select Format > Trim To remove trailing slashes, we’ll use a formula that will trim any URLs with a trailing slash and leave any URLs without a trailing slash alone. Trimming trailing slashes is a must but you can’t use split by delimiter here - if there isn’t a trailing slash on the URL you’ll just lop off the last path. Step 1: Use the Split by Delimiter function and split using a “?” to create a column holding your parameters and a canonical version of the URL. We can remove parameters by canonicalizing the way search bots would, but this method won’t take into account the difference between parameters for unique URLs vs tracking URLs.
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