The content is organized into three parts:
Posted: Sun Jan 19, 2025 5:30 am
Companies: Identification of the main sales regions and areas that need improvement.
Financial Analysts: Identifying top contributors to earnings and underperformers.
New book: Data visualization with Microsoft Power BI
The penultimate of the Power BI releases for November is the book 'Data Visualization with Microsoft Power BI' by Alex Kolokolov and Maxim Zelensky. This book is a gem for those looking to master DataViz best practices in Power BI.
The book is divided into 25 chapters covering a wide range of charts, from the most basic to the most advanced. It includes 40 visual elements, both default and advanced from the AppSource bahamas telegram database gallery, all in 400 full-color pages of exceptional quality. It is ideal for both non-technical professionals and experienced data analysts.
Classic Visuals: Learn how to select the right charts for basic analysis and avoid common pitfalls. You'll also learn how to set up interactions and organize visuals on a dashboard.
Advanced Reliable Visuals: This section covers more complex charts such as waterfall, bullet, Gantt, tornado, funnel, and Sankey, detailing the options and data requirements for each.
Advanced and risky graphics: Flashy graphics that may be confusing to the average user are presented, with explanations of use cases and simpler alternatives.
Financial Analysts: Identifying top contributors to earnings and underperformers.
New book: Data visualization with Microsoft Power BI
The penultimate of the Power BI releases for November is the book 'Data Visualization with Microsoft Power BI' by Alex Kolokolov and Maxim Zelensky. This book is a gem for those looking to master DataViz best practices in Power BI.
The book is divided into 25 chapters covering a wide range of charts, from the most basic to the most advanced. It includes 40 visual elements, both default and advanced from the AppSource bahamas telegram database gallery, all in 400 full-color pages of exceptional quality. It is ideal for both non-technical professionals and experienced data analysts.
Classic Visuals: Learn how to select the right charts for basic analysis and avoid common pitfalls. You'll also learn how to set up interactions and organize visuals on a dashboard.
Advanced Reliable Visuals: This section covers more complex charts such as waterfall, bullet, Gantt, tornado, funnel, and Sankey, detailing the options and data requirements for each.
Advanced and risky graphics: Flashy graphics that may be confusing to the average user are presented, with explanations of use cases and simpler alternatives.