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What is Data Visualization?
Data visualization is primarily designed to communicate and communicate information clearly and effectively through graphical means.
In order to effectively convey the concept of ideas, aesthetic forms and functions need to go hand in hand to achieve insight into fairly sparse and complex data sets by visually communicating key aspects and features.
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The basic idea of Data Visualization technology?
To represent each data item in the database as a single primitive element. A large number of data sets constitute a data image, and each attribute value of the data is represented in the form of multidimensional data, which can be observed from different dimensions. Data to allow for more in-depth observation and analysis of the data.
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Tasks in Data Visualization
Task Categories Task Types Data and view specification Visualize data by choosing visual encodings
Filter out data to focus on relevant items
Sort items to expose patterns
Derive values of models from source dataView manipulation Select items to highlight, filter, or manipulate
Navigate to examine high-level patterns and low level detail
Coordinate views for linked exploration
Organize multiple windows and workspacesProcess and provenance Record analysis histories for revisitation, review, and sharing
Annotate patterns to document findings
Share views and annotations to enable collaboration
Guide users through analysis tasks or stories
The dashboard has been deployed publicly, and you can access it by scanning the QR code below.