March 2024
Intermediate to advanced
814 pages
22h 10m
English
Content preview from Extending Power BI with Python and R - Second Edition
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13
Calculating Columns Using Complex Algorithms: Fuzzy Matching
In the previous chapter, we discussed the importance of distance measures in estimating the dissimilarity between two distinct strings. Continuing our exploration of data analysis techniques, this chapter delves into the world of fuzzy matching, a technique used to determine logical similarities and identity mismatches in duplicates. Unfortunately, finding a dissimilarity metric in string values can be challenging. However, Power BI comes with a complex, reliable, and scalable fuzzy matching algorithm implemented by the Microsoft Research team based on the Jaccard distance. Although this algorithm performs well enough for typical fuzzy matching problems, it’s worth noting that there ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.