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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16
Adding Statistical Insights: Outliers and Missing Values
In the previous chapter, we explored a range of statistical functions in Power BI, including calculating correlations between variables. Now, we will continue to extend the data enrichment possibilities in Power BI through statistical functions by focusing on methodologies to detect univariate and multivariate outliers in your dataset. Additionally, we will explore advanced techniques to impute possible missing values in datasets and time series.
In this chapter, we will delve into what outliers are, highlight their impact on analysis accuracy, and provide strategies for dealing with them in Power BI. Furthermore, missing values can cause significant issues during data analysis and ...
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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.