VISUALIZATION 

 Challenge & Selection 

 I intended to write some scripts on Revenue Assurance , I made use of the tool of visualization . Firstly , I   projected the result I intend to achieve , the goals of the scripting and the value adding preposition to   the organization . 

 I analyzed the breakdown of source data to use and optimization of various tables to achieve the goal . 

 Necessary permission was to be sought . Filtering and segmentation of Big data was put into   consideration . 

 Application 

 I started by stating the requirement for each script and necessary tools were deployed to get the work   done . I started extracting data from applicable table , formatting and manipulating the data together to   achieve results . 

 Insight & Approach 

 I approach the process with an open mind . The lesson learnt during this process was taken into account   and will be improved upon . 


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 

 Challenge & Selection 

 I intended to write some scripts on Revenue Assurance , I made use of the tool of visualization . Firstly , I   projected the result I intend to achieve , the goals of the scripting and the value adding preposition to   the organization . 

 I analyzed the breakdown of source data to use and optimization of various tables to achieve the goal . 

 Necessary permission was to be sought . Filtering and segmentation of Big data was put into   consideration . 

 Application 

 I started by stating the requirement for each script and necessary tools were deployed to get the work   done . I started extracting data from applicable table , formatting and manipulating the data together to   achieve results . 

 Insight & Approach 

 I approach the process with an open mind . The lesson learnt during this process was taken into account   and will be improved upon .
### Output: 