Visualization:

Visualization or visualisation (see spelling differences) is any technique for creating images,  diagrams, or animations to communicate a message. Visualization through visual imagery has been an  effective way to communicate both abstract and concrete ideas since the dawn of humanity.

Application:

As a subject in computer science, scientific visualization is the use of interactive, sensory  representations, typically visual, of abstract data to reinforce cognition, hypothesis building, and  reasoning. Data visualization is a related subcategory of visualization dealing with statistical graphics and  geographic or spatial data (as in thematic cartography) that is abstracted in schematic form.

Techniques:

1.) It activates your creative subconscious which will start generating creative ideas to achieve  your goal.

2.) It programs your brain to more readily perceive and recognize the resources you will need  to achieve your dreams.

3.) It activates the law of attraction, thereby drawing into your life the people, resources, and  circumstances you will need to achieve your goals.

4.) It builds your internal motivation to take the necessary actions to achieve your dreams.

Benefits:

1. Faster Action

The human brain tends to process visual information far more easily than written information.  Use of a chart or graph to summarize complex data ensures faster comprehension of relationships than  cluttered reports or spreadsheets.

2. Understand Connections Between Operations and Results

One benefit of big data visualization is that it allows users to track connections between  operations and overall business performance. Finding a correlation between business functions and  market performance is essential in a competitive environment.

3.Interact With Data

A chief benefit of data visualization is that it brings exposes changes in a timely manner. But unlike static  charts, interactive data visualizations encourage users to explore and even manipulate the data to  uncover other factors. This creates a better attitude for use of analytics.

Why visualization is important?

We need data visualization because a visual summary of information makes it easier to identify  patterns and trends than looking through thousands of rows on a spreadsheet. It's the way the human  brain works. ... Charts and graphs make communicating data findings easier even if you can identify the  patterns without them.


Visualization : Visualization or visualisation ( see spelling differences ) is any technique for creating images , diagrams , or animations to communicate a message . Visualization through visual imagery has been an effective way to communicate both abstract and concrete ideas since the dawn of humanity . Application : As a subject in computer science , scientific visualization is the use of interactive , sensory representations , typically visual , of abstract data to reinforce cognition , hypothesis building , and reasoning . Data visualization is a related subcategory of visualization dealing with statistical graphics and geographic or spatial data ( as in thematic cartography ) that is abstracted in schematic form . Techniques : 1 . ) It activates your creative subconscious which will start generating creative ideas to achieve your goal . 2 . ) It programs your brain to more readily perceive and recognize the resources you will need to achieve your dreams . 3 . ) It activates the law of attraction , thereby drawing into your life the people , resources , and circumstances you will need to achieve your goals . 4 . ) It builds your internal motivation to take the necessary actions to achieve your dreams . Benefits : 1 . Faster Action The human brain tends to process visual information far more easily than written information . Use of a chart or graph to summarize complex data ensures faster comprehension of relationships than cluttered reports or spreadsheets . 2 . Understand Connections Between Operations and Results One benefit of big data visualization is that it allows users to track connections between operations and overall business performance . Finding a correlation between business functions and market performance is essential in a competitive environment . 3.Interact With Data A chief benefit of data visualization is that it brings exposes changes in a timely manner . But unlike static charts , interactive data visualizations encourage users to explore and even manipulate the data to uncover other factors . This creates a better attitude for use of analytics . Why visualization is important ? We need data visualization because a visual summary of information makes it easier to identify patterns and trends than looking through thousands of rows on a spreadsheet . It 's the way the human brain works . ... Charts and graphs make communicating data findings easier even if you can identify the patterns without them .