Books to Read

On this page, I catalog and recommend books about data visualization and Power BI. I write only about books from my bookshelf and post only honest, non-sponsored reviews.

A few of these books are specifically tailored to the needs of Power BI developers, covering topics such as Power Query and M language, dimensional data modeling, and DAX. However, most of these books are tool-agnostic, meaning they do not focus on Power BI or any specific data visualization tool. If you’re seeking books with tool-specific step-by-step instructions, like “click File then click Open,” this may not be the right place for you.

The selection here primarily features books that enhance your understanding, shift your perspective, and assist in creating and presenting better charts, dashboards, and reports, although some offer extremely practical recommendations on how to start making better charts right away.

P.S. There is a long list of books I’ve read but have not yet written a review for. However, I’ll try to update this page with more reviews soon.

Book Sets I Recommend

My Book Reviews

Other Books on my Bookshelf (incomplete list)

Star Schema The Complete Reference

by Christopher Adamson

DAX Patterns: Second Edition

by Marco Russo, Alberto Ferrari

Storytelling with Data: Let’s Practice!

by Cole Nussbaumer Knaflic

The Visual Display of Quantitative Information

by Edward R. Tufte

Functional Art, The: An introduction to information graphics and visualization

by Alberto Cairo

Truthful Art, The: Data, Charts, and Maps for Communication

by Alberto Cairo

How Charts Lie: Getting Smarter about Visual Information

by Alberto Cairo

Show Me the Numbers: Designing Tables and Graphs to Enlighten

by Stephen Few

Now You See It: Simple Visualization Techniques for Quantitative Analysis

by Stephen Few

Signal: Understanding What Matters in a World of Noise

by Stephen Few

Information Visualization: Perception for Design

by Colin Ware

Data Visualisation: A Handbook for Data Driven Design

by Andy Kirk

#MakeoverMonday: Improving How We Visualize and Analyze Data, One Chart at a Time

by Eva Murray, Andy Kriebel

The elements of graphing data

by William S. Cleveland

Visualizing Data

by William S. Cleveland

Semiology of Graphics: Diagrams, Networks, Maps

by Jacques Bertin

Playfair’s Commercial and Political Atlas and Statistical Breviary

by William Playfair

Solid, outlined, hatched: How visual consistency helps better understand reports, presentations and dashboards

Authors: Rolf Hichert, Jürgen Faisst

Questions in Dataviz: A Design-Driven Process for Data Visualisation

Author: Neil Richards

100 Things Every Designer Needs to Know About People

Author: Susan M. Weinschenk

Don’t Make Me Think, Revisited: A Common Sense Approach to Web Usability (Voices That Matter)

Author: Krug Steve

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