# data[].attributes.body
1.title
2.diagram
3.author
4.paragraphs
5.bold words
6.connect back to the text

# data[].attributes.body
-Diagrams
-labels
-examples
-pictures
-captions
-bold letters
-title
-scientific words
-specific words
-description
-subtitle
-hook
-reasoning
-evidence
-detil

# data[].attributes.body
-pictures
-labels
-specific words
-caption
-title
-examples
-diagram:P
-bold words
-subtitle
description
-bold letters

# data[].attributes.body
->examples
->title
->pictures
-> captions
-> author
-> labels
-> science words

# data[].attributes.body
-labels
-pictures
-labels on pictures
-captions
-described words
-title
-name of author

# data[].attributes.body
-title
-pictures
-labels
-examples
-diagram
-

# data[].attributes.body
~ Title
~ Captions
~ Scientific words
~ Pictures
~ Examples
~ Subtitles
~ Labels
~ Evendance
~ Hook
~ Specific detail

# data[].attributes.body
title
labels
science words
examples
subtitles
diagrams

# data[].attributes.body
-Description
-Subtitles
-Pictures
-Title and name
-Captions
-Diagram
-Examples
-Labels

# data[].attributes.body
> scientific words
> pictures
> captions
> headings that support the text
>Name, title
> labels

# data[].attributes.body
pichers
scientific words
ladles

# data[].attributes.body
1. diagram
2. Titles and name
3. Pictures
4. scientific words
5. boiled letters
6. labels
7. examples

# data[].attributes.body
-Pictures
-Description
-Title and name
-Captions
-Diagram
-Subtitles
-Examples
-Labels
-Scientific language

# data[].attributes.body
1. Picture and diagram
2. Scientific Words
3. Name and Good title name
4. Examples
5. labels

# data[].attributes.body
1. captions and pictures
2. scientific words
3. examples
4. titles
5. if there is a tricky word explain what it means.

# data[].attributes.body
1. diagram for researched topic
2. labels
3. scientific words to show thinking

# data[].attributes.body
1. 1. A picture with a caption, or diagram
2. At least three subtitles in the form of a question
3. Title and name