Fundamentals of Data Visualization
A guide to making visualizations that accurately reflect the data, tell a story, and look professional.
2b: Data Visualization & Reporting
Introducing the 3-30-300 rule for better reports - SQLBI
This article describes a simple approach that you can apply to improve your reports and dashboards. Effective reports and dashboards should enable users to
Chapter 11 Data visualization principles | Introduction to Data Science
This book introduces concepts and skills that can help you tackle real-world data analysis challenges. It covers concepts from probability, statistical inference, linear regression and machine learning and helps you develop skills such as R programming, data wrangling with dplyr, data visualization with ggplot2, file organization with UNIX/Linux shell, version control with GitHub, and reproducible document preparation with R markdown.
A Brief Guide to the Python Dataviz Landscape
When, where, and what packages for data visualization in python
Power Query How - Home of the M Language
Unlock the Power Query M Language: Explore syntax, data types and language specifics, to help you master data transformation.