The Data Visualisation Catalogue
A handy guide and library of different data visualization techniques, tools, and a learning resource for data visualization.
The Data Visualization Catalogue is a comprehensive resource designed to help individuals find the right visualization method for their data. It serves as a reference to explore various types of data visualizations, offering detailed descriptions, use cases, and examples to aid in the selection process. The site is particularly useful for data analysts, designers, and anyone interested in presenting data in a visually appealing and understandable manner.
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Domain Rating
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Domain Authority
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Citation Level
2013
English, etc
Website Key Features
Extensive Visualization Library
A vast collection of different data visualization methods, each with detailed explanations and examples.
Search Functionality
Allows users to search for visualizations based on keywords, making it easier to find the right method.
Filter by Function
Users can filter visualization methods by their intended function, such as comparison, distribution, or relationship.
Detailed Descriptions
Each visualization method comes with a comprehensive description, including when to use it and its advantages.
Examples
Real-world examples are provided for most visualization methods to illustrate their application.
Educational Content
The site includes articles and guides on data visualization principles and best practices.
Interactive Elements
Some visualizations include interactive elements to better demonstrate their functionality.
Additional information
Creator
The Data Visualization Catalogue was created by Severino Ribecca, a freelance information designer.
Purpose
To bridge the gap between data and design by providing a resource that helps users choose the most effective visualization method for their data.
Updates
The catalogue is periodically updated with new visualization methods and improved content.
Accessibility
The site is designed to be accessible to a wide range of users, from beginners to professionals in data visualization.
Community Contribution
Users can suggest new visualization methods or improvements to existing ones, fostering a collaborative environment.
HTTP headers
Security headers report is a very important part of user data protection. Learn more about http headers for datavizcatalogue.com