- Calculate the difference between the actual insurance cost data and the estimated insurance cost data for each individual, and store the results in a list called
`insurance_cost_difference`

.

```
insurance_costs = [('Maria', 4150.0), ('Rohan', 5320.0), ('Valentina', 35210.0)]
estimated_insurance_data = [('Maria', 4222.0), ('Rohan', 5442.0), ('Valentina', 36368.0)]
```

If you donâ€™t want to use loops, I guess you could do:

```
insurance_cost_difference = []
insurance_cost_difference.append( (insurance_costs[0][0], insurance_costs[0][1] - estimated_insurance_data[0][1]) )
insurance_cost_difference.append( (insurance_costs[1][0], insurance_costs[1][1] - estimated_insurance_data[1][1]) )
insurance_cost_difference.append( (insurance_costs[2][0], insurance_costs[2][1] - estimated_insurance_data[2][1]) )
print(insurance_cost_difference)
```

Notice that this is a tuple in a loop.

`insurance_cost[0]`

is `('Maria', 4150.0)`

and in that tuple, `[0]`

is `'Maria'`

and `[1]`

is `4150.0`

so `insurance_cost[0][0]`

is `'Maria'`

so `insurance_cost[0][1]`

is `4150.0`