# data[].attributes.body
1. go dancing
2. go running
3. go shopping
4. go swimming
5. go walking
6. cooking
7. riding bike
8. play soccer
9. lift weight
10. do yoga X
11. play golf
12. sleeping
13. take a shower
14. look up dictionary X
15. talk on the phone
16. play volleyball X
17. clean the house
18. watching TV
8.5/10

# data[].attributes.body
Dancing
Go Running
Shopping
Go Swimming
Go Walking
Cooking
Go bike riding
Playing Soccer
lift weight
Aerobic
Paly Golf x
Sleeping
Take a Shower
study english
take on the phone x
play basketball
clean the house
watch tv
9/10

# data[].attributes.body
1. Dance
2. go running
3.Supermarket X
4.go swimming
5. Walk
6. Cook
7. Ride a bike
8. Football
9. lift weights
10.do Aerobic
11.phay Golf
12. Sleep
13.Take a shower
14.Study english
15. Listen
16. phay Basketball
17. Clean house
18. Watch TV
9.5/10

# data[].attributes.body
1. dancing - go dancing
2. running  - go running
3. shopping - go shopping
4. swimming - go swimming
5. walking - go walking
6. cooking
7. Riding X -go bike riding
8. playing soccer
9. lift weights
10. do aerobic - do aerobics
11. playing golf
12. sleeping
13. take a shower
14. learning - study English
15. calling
16. play basketball
17. clean the house
18. Watching TV
9.5

# data[].attributes.body
1:go dancing
2:go running
3: go shopping
4: swimming X
5: go walking
6: cooking
7:ride a bike
8: study english
9: play soccer
10: lift weights
11: do aerobics
12:golf X
13. sleep
14. take a shower
15: talk on the phone
16.play basketball
17. clean the house
18. watch tv
9.5/10

# data[].attributes.body
1. go dancing
2.go running
3.go shopping
4.go swimming
5.go walking
6.cooking
7.go bike riding
8.play soccer
9.Lift weights
10.do aerobics
11.Play golf
12.Sleep
13.take a shower
14.study English
15.talk on the phone
16.play basketball
17.clean the house
18.watch TV
10/10

# data[].attributes.body
12/18 6,6
1. ballet

2. run
3.  grocery shopping
4. diving
5. attend
6. fry eggs
7. cycling
8. play soccer
9. weightlifting
10. aeobics
11. golf
12. sleep
13. take a shower
14. revise
15. call
16. basketball
17. cleaning
18. watch tv

# data[].attributes.body
1.a park
2.a gym
3.a track
4.a pool
5. a athletic - An athletic field
6.a golf course
7.a tennis course - A tennis court
8/10

# data[].attributes.body
7
1. A park
2. A gym

3. a track

4. a pool
5.
6.
7.

# data[].attributes.body
1. a park

2. A Gym
3. A track
3. A tennis x
4. a pool
5. a golf course x
6. A athletice field x
6. a tennis court
7/10

# data[].attributes.body
1. park

2. gym

3. truck X

4. pool

5. ,,

7. teninis court

7/10

# data[].attributes.body
1. a park
2. a gym
3. a track
4. a pool
5. an athletic field
6. a golf course
7. a tennis court
10/10
--------------------------------------

# data[].attributes.body
1 a park
2 a gym
3 a track
4 a pool
5 an athletic field
6 a golf X
7 a  tennis court
9/10

# data[].attributes.body
1:a park
2: a gym
3. a track
4. a pool
5. an athletic field
6. a golf course
7. a tennis course
9/10
1:  athletic field
2:  gym
3: court - course
4: pool
5: track
10/10

# data[].attributes.body
1. athletic field
2. gym
3. court - course
4. pool
5. track
10/10

# data[].attributes.body
1 athletic
2 gym
3 court/course
4 pool
5 track
9/10

# data[].attributes.body
1.  athletic field
2.gym
3.court - course
4.pool
5.track
10/10

# data[].attributes.body
10/10
1. athletic field
2. gym
3. court - course
4. pool
5. track

# data[].attributes.body
1. athletic field

2. gym

3. court / course

4. pool

5. track

10/10

# data[].attributes.body
1. Athletic filed
2. Gym
3. Court - course
4. Pool
5. Track
10/10

# data[].attributes.body
1. a good body X
2. obesity X
3. grass court X
4. vegetables
5. sweets - desert X
6. oil foods X
7. weight gain X
8. don't drink water X
9.confident
10. tired
3/10

# data[].attributes.body
8/10
1. a nice body
2. out of shape, overweight
3. an athletic field
4. vegetables, fruits
5. junk food
6. fatty food
7. upsize
8. don't drink enough to water
9. confident
10. tired

# data[].attributes.body
1 a nice body
2 lose weitht x
3 stadium
4 vegetable/ fruit
5 snack x
6 avoid fatty foods
7 increase weight x
8 don't drinks enough water
9 confident
10 tired
7/10

# data[].attributes.body
1. beauty body X

2. out shape X

3. athletic fied X

4. vegetable X

5. snack X

6. ... X

7. over weigth X

8. dont drink water enougth X

9. confident

10. tired
2/10

# data[].attributes.body
1.  a nice body
2.  out of shape
3.  athletic field
4. vegetable, fruit
5. junk food
6. fatty good
7.  over shape x
8. don't enough drink water x
9. confident
10. tired
8/10

# data[].attributes.body
1. a nice body
2.lose weight X - overweig
3. an athletic field
4. vegetables & fruits
5.snacks X - junk food
6.food many béo X -fatty food
7. don't drink  enough waters
9.confident
10.tired
7/10

# data[].attributes.body
1.Nice body
2. out of shape
3.an athelitic X
4.fruits & vegetables
5.X
6. fatty food
7.Hight wieghts X
8.don't drink enough water
9. confident
10.Tired
8/10