Data Visualization in Excel: A Guide for Beginners, Intermediates, and Wonks 1st Edition By Jonathan Schwabish ISBN-13: 978-1032343266
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- Pages
- 401
- File size
- 3.48 MB
- Format
- Digital PDF
- Course
- Microsoft Excel skills
- Category
- eBook[PDF]
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About this ebook
Data Visualization in Excel: A Guide for Beginners, Intermediates, and Wonks by Jonathan Schwabish is a step-by-step guide designed to bypass standard Excel limitations. It provides comprehensive tutorials on how to build custom, professional, and highly advanced charts within Microsoft Excel without requiring programming languages. [1, 2, 3]
The topics and chart types covered in the book include: [1]
Foundational Principles & Setup
- The Philosophy of Data Visualization in Excel: Understanding graphic literacy and how to break out of boring defaults.
- Introduction to Making Graphs in Excel: The absolute basics of the Excel charting engine.
- Fundamental Formulas: Key calculations needed to restructure data so Excel can render custom chart structures.
- Custom Color Palettes: Designing and installing non-standard color themes directly in Excel. [1, 2]
Advanced Chart Types & Visualizations
The core of the book outlines specific, step-by-step technical blueprints for building advanced charts, ranging from basic enhancements to highly complex figures: [1, 2]
- Grid & Cell-Based Visuals: Sparklines, Heatmaps, Stripe Charts, and Waffle Charts.
- Project & Strategy Graphics: Gantt Charts, Bullet Charts, and Tile Grid Maps.
- Distribution & Frequency Models: Histograms, Strip Charts, and Raincloud Plots.
- Advanced Bar & Column Structures: Broken Stacked Bar Charts, Diverging Bar Charts, and Lollipop Charts.
- Specialized High-Level Analyses: Slope Charts, Dot Plots, Cycle Plots, and complex Marimekko Charts.
- Data Annotations & Custom Layouts: Overlaid Gridlines, Block Shading (for both same and different frequencies), and techniques to Mark an Event with a Line. [1, 2]
Formatting, Table Design & Production
- Making Better Tables: Restructuring text and numbers into clean, scannable data layouts.
- Exporting Graphs from Excel: Best practices for extracting high-resolution visuals to use in reports, presentations, and websites.
- Redesigns and Examples: Real-world makeovers that apply the book's design principles to messy, default-heavy charts. [1, 2]
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3.48 MB