# data[].attributes.body
E1
1, Organization B's spending on building was 1.7 billion euros
2, 1.7 billion euros was spent on building by organization B
3, Building received a 1.7 billion euros investment from organization B
4, The amount of money spent by organization B on building was 1.7 billion euros

E2
1, Organization A and B both spend a great amount of money on staff training, 1 billion euros for the former and 1.5 billion euros for the latter

2, Organization A and B spend 1 billion euros and 1.5 billion euros on staff training, respectively.

3, Staff training received investment from organization A and B, with respective figure being 1 billion euros and 1.5 billion euros

4, Organization A spend 1 billion euros on staff training as against/as opposed to/ compared to organization B's 1.5 billion euros investment.

5. Organization B spend 1.5 billion euros on staff training whereas the amount of money for A was 1 billion euros

E3
In terms of machinery, organization B spent 1.3 billion, followed by organization A (0.8 billion) and organization C (0.7 billion)
1. Regarding machinery spending, organization B spend 1.3 billion euros whereas the spending by organization A and C was 0.8 billion euros and 0.7 billion euros, respectively.
2.

# data[].attributes.body
Regarding building, organization B spent 1.7 billion euros on this area.

-> Organization B's spending on building was 1.7 billion euros

-> 1.7 billion euros was spent on building by organization B

-> Building received 1.7 billion euros from organization B

-> The amount of money was spent on building from organization B was 1.7 billion euros

Staff training cost organization A 1 billion euros, which was 0.5 billion smaller than that of organization B.

-> (for the former/ for the latter)Staff training cost organization A 1 billion euros for the former, and organization B 1.5 billion euros for the latter.

-> (respectively)Staff training cost organization A and B 1 and 1.5 billion euros respectively.

-> (with respective figures)Staff training cost organization A and B with respective figures of 1 and 1.5 billion euros

-> (as against) Staff training cost organization A 1 billion euros as against organization B with 1.5 billion

-> (as opposed to)Staff training cost organization A 1 billion euros  as opposed to organization B with 1.5 billion

-> (compared to) Staff training cost organization A 1 billion euros which was 0.5 billion smaller compared to organization B

-> (whereas) Staff training cost organization A billion euros whereas it cost organization B 1.5 billion euros.

In terms of machinery, organization B spent 1.3 billion, followed by organization A (0.8 billion) and organization C (0.7 billion)

-> (whereas) In terms of machinery, organization B spent 1.3 billion whereas organization A spent 0.8 billion and organization C spent 0.7 billion

-> (compared to)In terms of machinery, organization B spent 1.3 billion which compared to

-> (as opposed to)

-> (in comparison to)

-> (as against)

-> (far exceeded)

-> (respectively)

-> (with respective figures)

-> (nearly doubled)

-> (While)

# data[].attributes.body
Regarding building, organization B spent 1.7 billion euros on this area.

-> Organization B's spending inject 1.7billion euros in this area.

-> 1.7 billion euros was spent on buildings by organization B

-> Building received an investment of 1.7 billion euros by organization B

-> The amount of money organization B invested in was 1.7 billion euros.

Staff training cost organization A 1 billion euros, which was 0.5 billion smaller than that of organization B.

-> The investment of org A and org B on staff training were 1 billion euros for the former and 1.5 billion euros for the latter

-> The investment of org A and org B on staff training were 1 billion euros and 1.5 billion euros respectively

-> Org A invested less money on  staff training than org B with respective figures being 1 and 1.5 billion euros.

-> The investment of org A on staff training was 0.5 billion smaller than that of org B, which  were 1 billion euros as against to 1.5 billion euros

-> The investment of org A on staff training was 0.5 billion smaller than that of org B, which  were 1 billion euros as opposed to 1.5 billion euros

-> The investment of org A on staff training was 0.5 billion smaller than that of org B, which  were 1 billion euros compared to 1.5 billion euros

-> The investment of org A on staff training were 1 billion euros, where as org B injected in 1.5 billion euros

In terms of machinery, organization B spent 1.3 billion, followed by organization A (0.8 billion) and organization C (0.7 billion)

-> In terms of machinery, organization B spent 1.3 billion, whereas organization A & organization C invested 0.8 billion and 0.7 billion respectively

-> In terms of machinery, organization B spent greater than organization A and org C, which was 1.3 billion compared to 0.8 billion and 0.7 billion.

-> In terms of machinery, organization B spent greater than organization A and org C, which was 1.3 billion as opposed to 0.8 billion and 0.7 billion.

-> In terms of machinery, organization B spent greater than organization A and org C, which was 1.3 billion in comparison to 0.8 billion and 0.7 billion.

-> In terms of machinery, organization B spent greater than organization A and org C, which was 1.3 billion as against 0.8 billion and 0.7 billion.

-> In terms of machinery, organization B investment far exceeded organization A and org C, which was 1.3 billion as opposed to 0.8 billion and 0.7 billion.

-> In terms of machinery, organization B spent 1.3 billion, whereas organization A & organization C invested 0.8 billion and 0.7 billion respectively

->

-> (nearly doubled)

-> (While)

# data[].attributes.body
-> organization B's spending on the building was 1.7 billion euros.
-> 1.7 billion euros was spent on the building of organization B.
-> Building received 1.7 billion euros of the organization B.

- the amount of money spending on staff training of organization A was smaller than that of organization B which was  1 billions euro for the former and 1,5 billion euros for the latter
-  the amount of money spent on staff training of organization A was smaller than that of organization B which was  1 billion euros and 1,5 billion euros respectively.
- the amount of money spent on staff training of organization A was smaller than that of organization B with the respective figure being 1 billion euro and 1.5 billion
-the amount of money spent on staff training of organization A was 1 billion euro which was as against 1.5 billion euros that of organization B.
-the amount of money spent on staff training of organization A was 1 billion euro which was as opposed to 1.5 billion euros that of organization B.
-the amount of money spent on staff training of organization A was 1 billion euro compared to 1.5 billion euros that of organization B.
-the amount of money spent on staff training of organization A was 1 billion euro whereas that of organization B was 1.5 billion euro.

-In terms of machinery, organization B spent 1.3 billion whereas that of organization A was 0,8 billion and organization C was 0,7 billion.
-In terms of machinery, organization B spent greater than organization A and org C, which was 1.3 billion compared to 0.8 billion and 0.7 billion.

# data[].attributes.body
organization B's spending on building was 1.7  billion euros
1.7 billion euros was spent on building by organization B
The amount of money organization B spent on building was 1.7 billion euros
Staff training cost organization A was 0.5 billion smaller than that of organization B, at 1 billion euros and 1.5 b euros respectively / 1 b euros for the former and 1.5 b euros for the later
In terms of machinery, organization B spent 1.3 billion euros, which was far exceeded that of organization A (0.8 billion) and organization C (0.7 billion)
..... spent 1.3 billion euros, which was nearly doubled that of organization A and C, at 0.8 and 0.7 billion euros respectively

# data[].attributes.body
Regarding building, organization B spent 1.7 billion euros on this area.

-> Organization B's spending

-> 1.7 billion euros was

-> Building received

-> The amount of money

Staff training cost organization A 1 billion euros, which was 0.5 billion smaller than that of organization B.

-> (for the former/ for the latter)

-> (respectively)

-> (with respective figures)

-> (as against)

-> (as opposed to)

-> (compared to)

-> (whereas)

In terms of machinery, organization B spent 1.3 billion, followed by organization A (0.8 billion) and organization C (0.7 billion)

-> (whereas)

-> (compared to)

-> (as opposed to)

-> (in comparison to)

-> (as against)

-> (far exceeded)

-> (respectively)

-> (with respective figures)

-> (nearly doubled)

-> (While)