• This repository has been archived on 17/Mar/2023
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    Python
  • Created over 3 years ago
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Repository Details

Data visualization guide for presentations, reports, and dashboards

Data Visualization Guide for Presentations, Reports, and Dashboards

Based on International Business Communication Standards 1.1 by IBCS Association, licensed under CC BY-SA 4.0. Adapted for the web and other formats by Anton Zhiyanov.

This is a highly practical and example-based guide on visually representing data in reports and dashboards. It is based on the work of authors such as Barbara Minto, Edward Tufte, and Stephen Few.

Chart Sample

The guide consists of seven chapters:

  1. Convey a message
  2. Organize content
  3. Choose proper visualization
  4. Avoid clutter
  5. Increase information density
  6. Ensure visual integrity
  7. Apply semantic notation

Applied together, they will help you to design concise, clear, and actionable reports.

The guide is also available as EPUB and PDF.

Follow @ohmypy on Twitter for updates 🚀

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