From the course: Business Analytics Foundations: Descriptive, Exploratory, and Explanatory Analytics
Join today to access over 24,700 courses taught by industry experts.
EDA tools and techniques
From the course: Business Analytics Foundations: Descriptive, Exploratory, and Explanatory Analytics
EDA tools and techniques
- [Instructor] What are the tools and techniques used for exploratory data analytics? The first and most popular tool is called segmentation and profiling. In this technique, data is repeatedly grouped by different data columns, typically of text or ID type. These are called segments. These are groups of similar entities we want to divide and analyze like age group, gender, race, education, et cetera. We take a summary number and then split it by individual segment values. Then we have profiling variables. These are variables that represent facts or measurements or metrics that we want to analyze for each segment. They are usually Boolean or numeric variables that are aggregated in some fashion, like sum, average, maximum, et cetera. In the example shown, age group is the segment. We break down the grand set of patients by individual segment values, namely 20 to 40, 40 to 60 and 60 to 80. Then we profile these segment…
Practice while you learn with exercise files
Download the files the instructor uses to teach the course. Follow along and learn by watching, listening and practicing.
Download courses and learn on the go
Watch courses on your mobile device without an internet connection. Download courses using your iOS or Android LinkedIn Learning app.