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Data and information visualization (data viz/vis or info viz/vis) [2] is the practice of designing and creating easy-to-communicate and easy-to-understand graphic or visual representations of a large amount [3] of complex quantitative and qualitative data and information with the help of static, dynamic or interactive visual items.
Data visualization is a related subcategory of visualization dealing with statistical graphics and geospatial data (as in thematic cartography) that is abstracted in schematic form. [ 7 ] Information visualization concentrates on the use of computer-supported tools to explore large amount of abstract data.
Visualization or visualisation may refer to: Visualization (graphics), the physical or imagining creation of images, diagrams, or animations to communicate a message; Data and information visualization, the practice of creating visual representations of complex data and information; Music visualization, animated imagery based on a piece of music
Data visualization uses information displays (graphics such as, tables and charts) to help communicate key messages contained in the data. [46] Tables are a valuable tool by enabling the ability of a user to query and focus on specific numbers; while charts (e.g., bar charts or line charts), may help explain the quantitative messages contained ...
To Tufte, good data visualizations represent every data point accurately and enable a viewer to see trends and patterns in the data. Tufte's contribution to the field of data visualization and infographics is considered immense, and his design principles can be seen in many websites, magazines, and newspapers today.
In addition, the choice of appropriate statistical graphics can provide a convincing means of communicating the underlying message that is present in the data to others. [1] Graphical statistical methods have four objectives: [2] The exploration of the content of a data set; The use to find structure in data; Checking assumptions in statistical ...
Exploratory data analysis is an analysis technique to analyze and investigate the data set and summarize the main characteristics of the dataset. Main advantage of EDA is providing the data visualization of data after conducting the analysis.
Dashboards serve as a visual representation for a company to monitor progress and trends, not only among themselves but against other companies as well. Dashboards and visualizations contain data that is updated in real time. For example, if the underlying data in an Excel spreadsheet were to change, so would the visualization.