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 . 


EMAIL: 
ID_NUM: 
NAME_STUDENT: 
PHONE_NUM: 
STREET_ADDRESS: 
URL_PERSONAL: 
USERNAME: 

### Task: You are a PII (Personal Identity Information) Detection. Given a essays written by students, you have to identify ONLY the following:
NAME_STUDENT - The full or partial name of a student that is not necessarily the author of the essay. This excludes instructors, authors, and other person names.
EMAIL - A student’s email address.
USERNAME - A student's username on any platform.
ID_NUM - A number or sequence of characters that could be used to identify a student, such as a student ID or a social security number.
PHONE_NUM - A phone number associated with a student.
URL_PERSONAL - A URL that might be used to identify a student.
STREET_ADDRESS - A full or partial street address that is associated with the student, such as their home address.
### Input: 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 .
### Output: 