Microsoft Power BI is a business intelligence platform that provides tools for aggregating, analyzing, displaying, and sharing data with nontechnical business users.
Exploratory Data Analysis(EDA) in Power BI can help you improve your reports. To begin, we’ll take you through the use of descriptive statistics to discover outliers, locate missing data, and fill in any gaps in your dataset with imputation techniques. Then we’ll see how EDA in Power BI may help you identify links between categorical and continuous variables. You’ll also discover how to analyze time series, visualize data, and recognize trends. Finally, you’ll learn how to use Power BI’s decomposition trees and key influencers to figure out which variables have the biggest impact on the target variable.