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encourage the eye to compare different pieces of data. reveal the data at several levels of detail, from a broad overview to the fine structure. serve a reasonably clear purpose: description, exploration, tabulation, or decoration. be closely integrated with the statistical and verbal descriptions of a data set.
Data visualization refers to the techniques used to communicate data or information by encoding it as visual objects (e.g., points, lines, or bars) contained in graphics. The goal is to communicate information clearly and efficiently to users. It is one of the steps in data analysis or data science. According to Vitaly Friedman (2008) the "main ...
google.com /slides. Google Slides is a presentation program and part of the free, web-based Google Docs suite offered by Google. Google Slides is available as a web application, mobile app for: Android, iOS, and as a desktop application on Google's ChromeOS. The app is compatible with Microsoft PowerPoint file formats. [5]
Visualises computational grids, scalar/vector/tensor data. Texture & ray-cast mappers. A visual programming data-flow software suite with widgets for statistical data analysis, interactive data visualization, data mining, and machine learning. Multi-layer 2D, 3D and statistical graphs for science and engineering.
Visualization (graphics) Visualization of how a car deforms in an asymmetrical crash using finite element analysis. Visualization (or visualisation (see spelling differences)), also known as Graphics Visualization, is any technique for creating images, diagrams, or animations to communicate a message.
In computing, a presentation program (also called presentation software) is a software package used to display information in the form of a slide show. It has three major functions: [1] an editor that allows text to be inserted and formatted. a method for inserting and manipulating graphic images and media clips.