# data[].attributes.headline
I can conclude that the temperature is getting colder because it's becoming fall!

# data[].attributes.subject
I can conclude that the temperature is getting colder because it's becoming fall!

# data[].attributes.body
I think a line graph is the best representation for this data because it shows change in temperature or anything like that. It's easy to tell if this was a drop in something or if it rises.

# data[].attributes.headline
i think it is the best because then you can easlly see the  data when you have days to graph. 

# data[].attributes.subject
i think it is the best because then you can easlly see the  data when you have days to graph. 

# data[].attributes.headline
I think a line graph  is the best representation for this data because you can see the line that changes a lot depending on the weather.

# data[].attributes.subject
I think a line graph  is the best representation for this data because you can see the line that changes a lot depending on the weather.

# data[].attributes.body
-patrick

# data[].attributes.headline
I think a line graph is the best representation for this data as it vividly shows what is happening as the weather gets cooler/warmer.

# data[].attributes.subject
I think a line graph is the best representation for this data as it vividly shows what is happening as the weather gets cooler/warmer.

# data[].attributes.body
-Christian

# data[].attributes.headline
I think the line graph is the best graph for this data because it is easy to do a line and show the different time periods. Caroline

# data[].attributes.subject
I think the line graph is the best graph for this data because it is easy to do a line and show the different time periods. Caroline

# data[].attributes.body
i think a line graph is best for this data because a line graph goes up and when making one you connect the dots and makes a shape or something
Laurent

# data[].attributes.headline
I think this is the best representation 

# data[].attributes.subject
I think this is the best representation 

# data[].attributes.body
i think it's the best because its easy to tell if it's going up and down

# data[].attributes.headline
you can conclude that you can read the line gragh better than others and you can see if the data has changed or has stayed the same

# data[].attributes.subject
you can conclude that you can read the line gragh better than others and you can see if the data has changed or has stayed the same

# data[].attributes.headline
Juandiego I think this is the best repersentation because you can see the temperure better 

# data[].attributes.subject
Juandiego I think this is the best repersentation because you can see the temperure better 

# data[].attributes.headline
It needs to be on the x axis and not the y axis because x comes before y. Caroline

# data[].attributes.subject
It needs to be on the x axis and not the y axis because x comes before y. Caroline

# data[].attributes.body
I can conclude that there was a huge drop in weather if doing temperature graphing, or any.

# data[].attributes.body
Because it's the line graph so the numbers have to be on the y axis

# data[].attributes.headline
this is is good because you can see the tempeure better troutgh

# data[].attributes.subject
this is is good because you can see the tempeure better troutgh

# data[].attributes.body
that it is helpful becuse it make us understand what the teacher said

# data[].attributes.body
The reason the day data needs to be on the x-axis is because if it was on the y-axis that is data that doesn't change over time but days do so it would have to be on the x-axis.

# data[].attributes.body
y needs to be after x axis because i do not think it would work perfectly

# data[].attributes.headline
because it easier and you can connect the dots and seee

# data[].attributes.subject
because it easier and you can connect the dots and seee

# data[].attributes.body
I think a line graph is best for respresentation because