# data[].attributes.body
1.Elevator mechanic
2.Urban Planner
3.Social Worker

# data[].attributes.body
scenario 1 elevator installer

scenario 2  urban planner

scenario 3 social workout

# data[].attributes.body
1- elevator installers
2- urban planner
3- social worker/ human services

# data[].attributes.body
1.for scenario one we got manufacturing and the job is auto body repairs. for scenario two
2. for scenario 2 we got urban planner and that's under government and public administration.
3.we got social workers and that's under human service's

# data[].attributes.body
1-elevator installer or mechanic
2-urban planner
3- Social worker

# data[].attributes.body
Scenario 1: Elevator Repair Man (manufacturing)
Scenario 2: Urban Planner (gov. and public administration)
Scenario 3: Social Worker (human services)

# data[].attributes.body
antonio and sama

scenario 1 is  Elevator installer and repair (manufaturing)
scenario 2 is urban planner (Government and Public Administration)
scenario 3 is Social worker-Human services

# data[].attributes.body
1- Elevator installers and repairers (manufacturing cluster)
2- Urban planner (government/public administration cluster)
3- Social Worker- (human services cluster)

# data[].attributes.body
1.elevator mechanic
2.urban planner
3.social worker

# data[].attributes.body
scenario 1: elevator mechanic, manufacturing
scenario 2: government and public administration, urban planner
scenario 3: social worker, education and training

# data[].attributes.body
1, urban planner
2,pubic relations
3,social worker

# data[].attributes.body
1-Elevator mechanic-manufacturing cluster
2-Urban planner-government and public administration
3-Social worker-Human services

# data[].attributes.body
1. Elevator installer and repair (manufaturing)
2. urban planner (government and public administration)
3. Social worker (human services)

# data[].attributes.body
1. Manufacturing/Elevator installer and repair
2.Goverment and Public Administration/Urban Planner
3. Human Services/Social Worker

# data[].attributes.headline
Scenario 3: This worker deals primarily with kids and young adults. They may work in a school or in a clinic. They track and record data. They help with adjustments to life changes and serve as a support network for personal goals. 

# data[].attributes.subject
Scenario 3: This worker deals primarily with kids and young adults. They may work in a school or in a clinic. They track and record data. They help with adjustments to life changes and serve as a support network for personal goals. 

# data[].attributes.headline
Scenario 2: This worker spends 50% of time in office and other 50% going to physical sites. They meet with public officials and the public themselves. They inspect sites for issues or safety hazards. They prepare approval documents. They accommodate population growth. 

# data[].attributes.subject
Scenario 2: This worker spends 50% of time in office and other 50% going to physical sites. They meet with public officials and the public themselves. They inspect sites for issues or safety hazards. They prepare approval documents. They accommodate population growth. 

# data[].attributes.headline
Scenario 1: This worker works with their hands. They need to be comfortable in tight spaces. They handle maintenance, installation, and repair of complex machines. These machines stop on every floor. 

# data[].attributes.subject
Scenario 1: This worker works with their hands. They need to be comfortable in tight spaces. They handle maintenance, installation, and repair of complex machines. These machines stop on every floor. 