# data[].attributes.headline
Click on the image. How are the tables the same. How are they different. 

# data[].attributes.subject
Click on the image. How are the tables the same. How are they different. 

# data[].attributes.body
they both have decimals in the input but only one has decimals in the output

# data[].attributes.body
some of the numbers in the x input are the same but the last one is not

# data[].attributes.body
Both inputs are the same except for the last one but their outputs are different the first one is increasing while the second table's output is decreasing

# data[].attributes.body
3 values on the input side are the same and the one on the right has larger values on the output than the one on the left

# data[].attributes.body
they are the same, because they both have decimals under x and regular numbers under y .

# data[].attributes.body
they have the same domains but not the same range.

# data[].attributes.body
They are the same because the first 3 x inputs are the same and the differences is the rest of the numbers don't match the outputs

# data[].attributes.body
They're different. because the slopes are clearly different. In the left table, It's a gradual increase, but in the right right, it's a gradual DECREASE. The only similarity is that both share the same domain, except for 1.5 and 2.0.

# data[].attributes.body
Both contain x and y coordinates. Both have different outputs. You need to multiple in the input to different numbers for both sides.

# data[].attributes.body
There the same by having the same x input and different from y output

# data[].attributes.body
Their x-values are all the same, however, their y-values differ.

# data[].attributes.body
Both are the same because they have the same decimals in both x axis's.

# data[].attributes.body
the x values seem the same but their slopes aren't