Overview

We will discuss about the data art phenomenon and its world practices and trends. Then we will focus on the basics of data visualization.

• What is Data Art? Examples, Best practices
• The process of creating a data art project
• Classification of Data Art
• The Basics of Data Visualization: Gestalt principles and visual attributes
• Different types of charts and their limitations

This module is devoted to the different types of data art techniques, examples, and features of working with them. We will pay attention to sketching and collecting personal data as well as to the analysis of tools and the stages of creating projects.

• Material and analog data art techniques and tools
• Sketching
• Personal data collecting
• Digital data art techniques
• Statics and Interactivity
• Analysis of digital tools

In this module, we will focus on choosing a project topic, collecting data, and also begin sketching and prototyping. I will show you the basics of Tableau and RAWGraphs software. We will work more closely on project structure and data encoding methods.

• Choosing a project topic & collecting the data
• Finding inspiration
• Sketching and prototyping
• Basics of working with the tools: Tableau, RawGraphs, Figma
• Creating project structures and choosing data encoding methods