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Data Modeling with Microsoft Excel

You're reading from  Data Modeling with Microsoft Excel

Product type Book
Published in Nov 2023
Publisher Packt
ISBN-13 9781803240282
Pages 316 pages
Edition 1st Edition
Languages
Author (1):
Bernard Obeng Boateng Bernard Obeng Boateng
Profile icon Bernard Obeng Boateng

Table of Contents (16) Chapters

Preface 1. Part 1: Overview and Introduction to Data Modeling in Microsoft Excel
2. Chapter 1: Getting Started with Data Modeling – Overview and Importance 3. Chapter 2: Data Structuring for Data Models – What’s the best way to layout your data? 4. Chapter 3: Preparing Your Data for the Data Model – Cleaning and Transforming Your Data Using Power Query 5. Chapter 4: Data Modeling with Power Pivot – Understanding How to Combine and Analyze Multiple Tables Using the Data Model 6. Part 2: Creating Insightful Calculations from your Data Model using DAX and Cube Functions
7. Chapter 5: Creating DAX Calculations from Your Data Model – Introduction to Measures and Calculated Columns 8. Chapter 6: Creating Cube Functions from Your Data Model – a Flexible Alternative to Calculations in Your Data Model 9. Part 3: Putting it all together with a Dashboard
10. Chapter 7: Communicating Insights from Your Data Model Using Dashboards – Overview and Uses 11. Chapter 8: Visualization Elements for Your Dashboard – Slicers, PivotCharts, Conditional Formatting, and Shapes 12. Chapter 9: Choosing the Right Design Themes – Less Is More with Colors 13. Chapter 10: Publication and Deployment – Sharing with Report Users 14. Index 15. Other Books You May Enjoy

How to reduce noise in your presentation

A well-designed dashboard should direct the user’s attention to the most critical data without overwhelming them with too much information.

Here are some ideas to help in this objective:

  • Limit the number of colors: Too many colors can make a dashboard look chaotic. Limit your primary colors and use shades of these colors to maintain consistency while distinguishing data points.
  • Use neutral backgrounds: A neutral background allows your data to stand out. Avoid using bright colors that can distract from the data.
  • Consistent fonts: Just as with colors, limit the number of fonts you use. Stick to one or two fonts to maintain a clean look.
  • Whitespace is your friend: Allow some space between visual elements. This gives your dashboard a clean look and helps users focus on the data.
  • Skill 2 practice: Identify any areas where there might be too many “noisy” or redundant elements and adjust these elements...
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