Table:
Fiscal Year Ended

(In Millions, Except Percentages and Per Share Amounts)	April 27, 2019 (1)	April 28, 2018 (2)	April 29, 2017 (3)	April 30, 2016 (4)	May 2, 2015 (5)

Income Statement Data:

Net Sales	$1,000.3	$908.3	$816.5	$809.1	$881.1

Income before Income Taxes	103.6	123.8	115.9	110.9	120.8

Income Tax Expense	12.0	66.6	23.0	26.3	19.8

Net Income	91.6	57.2	92.9	84.6	101.1

Per Common Share Data:

Basic Net Income	2.45	1.54	2.49	2.21	2.61

Diluted Net Income	2.43	1.52	2.48	2.20	2.58

Dividends	0.44	0.40	0.36	0.36	0.36

Book Value	18.43	16.82	14.53	12.61	11.82

Balance Sheet Data:

Total Debt	292.6	57.8	27.0	57.0	5.0

Retained Earnings	545.2	472.0	427.0	358.6	356.5

Fixed Assets, Net	191.9	162.2	90.6	93.0	93.3

Total Equity	689.7	630.0	541.1	470.1	459.0

Total Assets	1,231.7	915.9	704.0	655.9	605.8

Other Financial Data:

Return on Average Equity	13.9%	9.8%	18.6%	18.2%	23.5%

Pre-tax Income as a Percentage of Sales	10.4%	13.6%	14.2%	13.7%	13.7%

Net Income as a Percentage of Sales	9.2%	6.3%	11.4%	10.5%	11.5%

Your task:
Look at the table image, determine the locations of the following cells. A cell's location MUST be represented as a json structure {'value': '<cell value>', 'location': (row index, column index)}, with row and column indices beginning from 1. Some cell values may not be contained in this table. If so, represent their locations as 'DOES NOT EXIST'.
Target cells:
1. '5.0'
2. '470.1'
3. '66.6'
4. '1,231.7'
5. '915.9'

The target cell locations are as follows:
1. {'value': '5.0', 'location': (14, 6)}
2. {'value': '470.1', 'location': (17, 5)}
3. {'value': '66.6', 'location': (6, 3)}
4. {'value': '1,231.7', 'location': (18, 2)}
5. {'value': '915.9', 'location': (18, 3)}