# data[].attributes.headline
There are very little experienced employees(those who joined very early in the years) as compared to new employees(those who joined much later) in the company and some may retire soon. Moreover, seeing the ages of the experienced employees, some of them may retire.

# data[].attributes.subject
There are very little experienced employees(those who joined very early in the years) as compared to new employees(those who joined much later) in the company and some may retire soon. Moreover, seeing the ages of the experienced employees, some of them may retire.

# data[].attributes.headline
What is the one focus area you have identified?

# data[].attributes.subject
What is the one focus area you have identified?

# data[].attributes.headline
which year has the most number of employees joining the company

# data[].attributes.subject
which year has the most number of employees joining the company

# data[].attributes.body
Which age group has the most employee

# data[].attributes.body
distribution of age of employees

# data[].attributes.body
how long they have worked for the company

# data[].attributes.body
effect of gender on salary over age in company

# data[].attributes.body
salary

# data[].attributes.body
Balance

# data[].attributes.body
withdrawal & description

# data[].attributes.headline
Let's share what are the field in the file that are usable in data analysis

# data[].attributes.subject
Let's share what are the field in the file that are usable in data analysis

# data[].attributes.body
Gender

# data[].attributes.body
Age in Years