# data[].attributes.body
1.- France
2.- Italian
3.- Colombian
4.- Peru
5.- Germany
6.- Argentinian
7,- Nicaragua
8.- Guatemalan
9.- Chinese
10.- Japanese

# data[].attributes.body
1 France
2 Italian
3 Colombian
4 Perú
5 Germany
6 Argentian
7 Nicaragua
8 Guatemalan
9 Chinese
10 Japanese

# data[].attributes.body
1. France
2. Italian
3. Colombian
4. Peru
5. Germany
6. Argentinian
7. Nicaragua
8. Guatemalan
9. Chinese
10. Japanese

# data[].attributes.body
9 chinese
10Japanese

# data[].attributes.body
1.- france
2.-italian

3.-colombia
4.- peru
5.-alemania
6.-argentine
7.-nicaragua
8.-guatemalan
9.-chinese
10.-japanese

# data[].attributes.body
Wilian
1. France
2. Italian
3. Colombian
4. Peru
5. Germany
6. Argentine.
7. Nicaragua
8. Guatemalan
9. Chinese.
10. Japanese

# data[].attributes.body
france- french

# data[].attributes.body
1) _______________ - FRENCH
2) ITALY - _______________
3) COLOMBIA - _______________
4) _______________ - PERUVIAN
5) _______________ - GERMAN
6) ARGENTINA - _______________
7) _______________ - NICARAGUAN
8) GUATEMALA - _______________
9) CHINA - _______________
10) JAPAN - _______________

# data[].attributes.body
5 germany
6 Argentine
7Nicaragua
8 guatemalan

# data[].attributes.body
1. France
2. Italian
3. colombian
4.peru
5.germany
6. angentinan
7. nicaragua
8.guatemalan
9. chinese
10. japanese

# data[].attributes.body
1. FRANCE
2. ITALIAN
3. COLOMBIAN
4. PERU
5. GERMANY
6. ARGENTINE
7.NICARAGUAN
8.  GUATEMALAN
9. CHINESE
10. JAPANESE

# data[].attributes.body
argentine- argentinean

# data[].attributes.body
1.France 2.Italian 3.Colombian 4.Perú 5.Germany 6.Argentinian 7.Nicaragua 8.Guatemalan 9.Chinese 10.Japanese

# data[].attributes.body
germany_german

# data[].attributes.body
1. France
2. Italian
3. Colombian
4. Peru
5. Germany
6. Argentinian
7. Nicaraguan
8. Guatemalan
9. Chinese
10. Japanese

# data[].attributes.body
3 colombian
4 Peru
5 Germany

# data[].attributes.body
1- France, 2- Italian, 3- Colombian,4-
Perú, 5- Germany, 6- Argentini, 7- Nicaragua, 8- Guatemalan, 9- Chinese , 10- Japanese

# data[].attributes.body
1. France
2. Italian
3. Colombian
4. Peru
5. Germany
6. Argentine
7. Nicaragua
8. Guatemalan
9. Chinese
10. Japanese

# data[].attributes.body
peru-peruvian

# data[].attributes.body
1 france
2 italian

# data[].attributes.body
1. FRANCE
2. ITALIAN
3.-COLOMBIAN
4. PERU
5-GERMANY
6. ARGENTINE
7- NICARAGUA
8. GUATEMALAN
9.CHINESE
10. JAPANESE

# data[].attributes.body
Argentinian

# data[].attributes.body
ITALY- ITALIAN

# data[].attributes.body
GUATEMALAN

# data[].attributes.body
1. France
2. Italian
3. Colombian
4. Peru
5. Germany
6. Argentinian
7. Nicaragua
8. Guatemalan
9. Chinese
10. Japanese