Understanding The Basics Of Data Visualization

Data visualization is a present day technique of visual communication; it has its own unique way of presenting the data with the help of schematic diagrams, graphs, charts, correlations and many more. Information is presented by showing important details and figures with the uses of attributes and variables which represent unit of data.

Understanding The Basics Of Data Visualization

The main behind using this type of technique was to present the information clearly and specific to the point as does the statistical graph, information graphics, plots and many others using same form of presentation. Also there is a use of indicators or symbols like dots, line, dash and bars to help communicate the quantitative message precisely. With the proper implementation of visual representation of data units helps users to question the agenda thoroughly on the facts and evidence presented to them in a particular scenario.

Sometimes data visualization helps make the complex data easier to understand for the user by making them aware of the analytical tasks, comparison  of fields, understanding of casualties, the designing principle used in the formation of the data representation. According to the general use different data visualization techniques are used such as charts are used for differentiating different types of data and variables, tables for specific measurements or figures.

Data visualizations is combination of both art and science as it depicts various analytical figures which are simplified and presented in a visual design which is easy to understand, with the help of these many companies can shorten the time for the debriefing and convey the information must faster and in return save a lot of time. The co-employees can cross-question the facts and understand it better to provide with optimum results to get over the existing scenario.

The rate at which data is being generated and used to find hidden patterns and sensitive information has increased a lot with the increasing internet usage and technology such as sensor based data, for example satellites. This data in the collective form is known as BIG DATA, which in present scenarios is very widely used technology. To work on this big data it has to be processed, analyzed and thus getting a result out of it which takes a lot of ethical and analytical expertise and produces challenge for the data visualization.

Things to remember while creating effective graphical displays:

Clarity, precision and efficiency being the agenda

  • Display of data.
  • Indulge user in the data provided, rather than the methods or technology behind it.
  • No manipulation with the data (correct presentation).
  • Making the user differentiate pieces of data presented.
  • Revealing the data with different levels of details.
  • To be descriptive, creative and decorative all in the same implementation.

There are various subjects which fall under Data visualization:

  • Mind maps.
  • Displaying active data.
  • Displaying live news.
  • Displaying live connections.
  • Articles and resources and more.

DPA (Data Presentation Architecture) is a skill set which makes a user present an impactful data by identifying, locating, manipulating and formatting from collection of data.

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R Smith

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