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How To Convert Continuous Data Into Categorical In Power BI Using Python

Knowing how to convert continuous data into categorical data in Power BI using Python is important because it allows for better visualization and analysis of data through grouping and summarizing data by categories, providing more meaningful insights and enabling better decision-making. It also helps to simplify complex data and makes it easier to communicate insights to stakeholders.

In this tutorial, Gaelim is going to explore several ways on how you can convert continuous data into categorical data using some Python code that you can easily apply in Power BI.

*****Video Details*****
00:00 Introduction
00:43 Overview of the different methods
01:50 Dataset
02:35 Source
03:12 Categorizing the data
03:35 Binning
04:41 Labels
05:02 Equal splitting
05:45 Clustering
07:48 Visualization
09:13 Analysis

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Further Help

I offer limited consulting services to potentially assist you with data challenges, whether it's designing a complex Excel formula, writing a macro or building a whole new process for data capture, modeling and analysis.  Contact me if you have a need.