# data[].attributes.body
internet (3pts)
food (2 pts)
dog Leo (1p)

# data[].attributes.body
family (3pts)
happiness (2pts)
money (1pt)

# data[].attributes.body
jasmin

# data[].attributes.body
1. Happiness (3pts)
2. Family  (2pts)
3. Money (1pt)

# data[].attributes.body
family
food
happiness

# data[].attributes.body
Jasmin
Family
Money

# data[].attributes.body
drop out of school

# data[].attributes.body
chloe
my mum
my dad

# data[].attributes.body
3pts Money
2pts Sleep
1pt Family

# data[].attributes.body
3 money
2 food
1 family (love)

# data[].attributes.body
1. Family/Friends
2. Food
3. Job/Money

# data[].attributes.body
Mitchell
Vittoria
Milo

# data[].attributes.body
1) Money/ Career (3pt)
2) Food (2pt)
3) Sleep (1pt)

# data[].attributes.body
1. Money
2. Social life
3. Family

visiting Elizabeth shops like once a week

# data[].attributes.body
1. Family 3 points
2. House 1 point
3. Career/job 2 points

# data[].attributes.body
1. Family (2pts)
2. Food (1pt)
3. Career (3pt)

# data[].attributes.body
1. Food/ Water (3 pt)
2. Family (2 pt)
3. Friends (1 pt)

# data[].attributes.body
1. Money (3pt)
2. Family (2pt)
3. House (1pt)

# data[].attributes.body
1. FAMILY (3pt)
2. HOUSE (1pt)
3. CAREER (2pt)

# data[].attributes.body
1. Economy (i.e. money, banks, jobs) 3pt
2. Workers and Educated Citizens 2pt
4. Farms and Water Plants 1pt

# data[].attributes.body
1.  Food (2pt)
2. Friends (3pt)
3. Family (1pt)