Power BI: Analyze Feature

Power BI, short for Power Business Intelligence, is a powerful data analytics tool that helps you visualize your data in the form of reports and dashboards. Its primary goal is to turn raw data into meaningful, easy-to-understand, and interactive visualizations. The Analyze feature in Power BI is a handy tool that uses advanced analytics and […]

Power BI: Clustering

Clustering techniques in Power BI can be applied when there is a need to group similar data points together based on their characteristics or attributes. Clustering is an unsupervised machine-learning technique that can be used to explore data and identify patterns, relationships, and anomalies. Here are some scenarios in which clustering techniques can be applied […]

Power BI: Group and Bin Data

What is grouping? Grouping allows you to combine data points based on a common characteristic. For example, if you have sales data for different products, you can group them by product category to see which category generates the most revenue. Suppose you have a dataset with information on sales revenue, product type, and region. You […]

Power BI: Q&A Visuals

Q&A visuals are an incredible feature that allows you to explore your data in a more interactive and intuitive way. By simply asking questions in natural language, you can uncover insights and trends that would have been difficult to find otherwise. Popular use cases for Q&A visuals in Power BI: Exploratory analysis: The Q&A feature […]

Power BI: Top N Analysis

  Top N analysis is a common business technique that involves sorting data to view a specific category’s top or bottom values. For example, you might want to identify the top 5 products sold, the top 10 revenue-generating clients, or the bottom three regions in terms of sales. With this skill, you’ll be able to […]

Power BI: Decomposition Tree

The decomposition tree enables us to visualize the hierarchical data within our measures and breaks it down into its constituent parts, and identify the key drivers of a particular metric or outcome. For example, if you are analyzing sales data, you might find that the most important variables are the product category, geographic region, and […]