No Exact Match? How to Match Similar Data Tables in Excel with Fuzzy Lookup
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A % estimate of how similar the datas are. The Fuzzy Lookup Addin is great when the values between the two lists may be different, for example ABC Co and ABC Company.
While the default configuration works well for a wide variety of textual data, such as product names or customer addresses, the matching may also be customized for specific domains or languages. With Excel, there will be a constraint that we cannot perform the fuzzy lookup if the number of records are more.
No Exact Match? How to Match Similar Data Tables in Excel with Fuzzy Lookup - I do have a tough question which I have not been able to find answered on the site.
I have a number of names that are not an exact match but are close enough to be considered matched examples below. Do you have any ideas of how I can improve the number of automated matches? I am already eliminating middle initials from the match criteria. From MS site: Overview The Fuzzy Lookup Add-In for Excel was developed by Microsoft Research and performs fuzzy matching of textual data in Microsoft Excel. It can be used to identify fuzzy duplicate rows within a single table or to fuzzy join similar rows between two different tables. While the default configuration works well for a wide variety of textual data, such as product names or customer addresses, the matching may also be customized for specific domains or languages. I would look into using list English section only to help weed out the common shortenings. The following code came from and thanks to. I would try to keep this number low and last names should be exact. I have a long formula that you can use. It's not as well honed as those above — and only works for surname, rather than a full name — but you might find it useful. So if you have a header row and want to compare A2 with B2, place this in any other cell on that row e. As I say a bit rough and ready, but hopefully gets you in roughly the right ball-park. Was searching for something similar. I found the code below. You can make it case-sensitive or not. There a reference page at. But it works pretty well for comparing text in column A against column B. This code scan column a and column b , if it finds any similarity in both column it shows in yellow. You can use color filter to get the final value. I have not added that part into code.
Next, any value lower than the first value in the lookup array will return NA. I have an article which discusses how to perform such list comparisons here: Hope it helps. FYI the effectivedate, name and rate column key in by user. Next, we have words to be fuzzy match excel. The built-in capabilities of Excel are great for doing exact matches, but, as you know, not good at this type of match. Use Fuzzy Duplicate Finder to find and fix typos and misprints in your Excel files. I would look into using list English section only to help weed out the common shortenings. So hopefully it'll make a little more sense. As a final step, let's now remove the row numbers from the match ID and company ID values. However, an approach which is more manual the first period but quick in subsequent periods is to store the values in a lookup table.
