Task: Table-QA (source dataset: FinQA)

Task: 
You are given a table containing structured data and a natural language question referring to the table. Your goal is to analyze the table and provide an accurate and concise answer based on the given data.

Instructions:
1. Understand the Table: Examine the structure, headers, and data in the table. Identify relevant columns and rows related to the question.
2. Interpret the Question: Determine whether the question requires direct retrieval, aggregation, comparison, sorting, filtering, or inference.
3. Extract the Answer: Use logical reasoning and numerical operations (if necessary) to derive the correct response from the table.
4. Format the Answer: No explanation, return the answer in a structured JSON format: {"answer": <answer>}. If the question cannot be answered due to missing or ambiguous data, return a JSON response with {"answer": null}.

Table:
| location               |   approximate square footage |
|:-----------------------|-----------------------------:|
| alpharetta georgia     |                       254000 |
| jersey city new jersey |                       107000 |
| arlington virginia     |                       102000 |
| menlo park california  |                        91000 |
| sandy utah             |                        66000 |
| new york new york      |                        39000 |
| chicago illinois       |                        25000 |

Question:
as of december 2012 what is the ratio of the square footage in alpharetta , georgia to jersey city new jersey


pre_text: we may not be able to generate sufficient cash to service all of our indebtedness and may be forced to take other actions to satisfy our obligations under our indebtedness , which may not be successful .
our ability to make scheduled payments on or to refinance our debt obligations depends on our financial condition , operating performance and our ability to receive dividend payments from our subsidiaries , which is subject to prevailing economic and competitive conditions , regulatory approval and certain financial , business and other factors beyond our control .
we may not be able to maintain a level of cash flows from operating activities sufficient to permit us to pay the principal and interest on our indebtedness .
if our cash flows and capital resources are insufficient to fund our debt service obligations , we may be forced to reduce or delay investments and capital expenditures , or to sell assets , seek additional capital or restructure or refinance our indebtedness .
these alternative measures may not be successful and may not permit us to meet our scheduled debt service obligations .
in addition , the terms of existing or future debt instruments may restrict us from adopting some of these alternatives .
our ability to restructure or refinance our debt will depend on the condition of the capital markets and our financial condition at such time .
any refinancing of our debt could be at higher interest rates and may require us to comply with more onerous covenants , which could further restrict our business operations .
in addition , any failure to make payments of interest and principal on our outstanding indebtedness on a timely basis would likely result in a reduction of our credit rating , which could harm our ability to incur additional indebtedness .
if our cash flows and available cash are insufficient to meet our debt service obligations , we could face substantial liquidity problems and might be required to dispose of material assets or operations to meet our debt service and other obligations .
we may not be able to consummate those dispositions or to obtain the proceeds that we could realize from them , and these proceeds may not be adequate to meet any debt service obligations then due .
item 1b .
unresolved staff comments item 2 .
properties a summary of our significant locations at december 31 , 2012 is shown in the following table .
all facilities are leased , except for 165000 square feet of our office in alpharetta , georgia .
square footage amounts are net of space that has been sublet or part of a facility restructuring. .
post_text: all of our facilities are used by either our trading and investing or balance sheet management segments , in addition to the corporate/other category .
all other leased facilities with space of less than 25000 square feet are not listed by location .
in addition to the significant facilities above , we also lease all 30 e*trade branches , ranging in space from approximately 2500 to 8000 square feet .
we believe our facilities space is adequate to meet our needs in 2013. .
label: 2.37383
qa: answer: 2.37
explanation: as of december 2012 there was 2.37 square feet in alpharetta , georgia per foot in jersey city new jersey
ann_table_rows: 1
2
steps: op: divide2-1
arg1: 254000
arg2: 107000
res: 2.37
program: divide(254000, 107000)
gold_inds: table_1: location the alpharetta georgia of approximate square footage is 254000 ;
table_2: location the jersey city new jersey of approximate square footage is 107000 ;
exe_ans: 2.37383
tfidftopn: text_14: all facilities are leased , except for 165000 square feet of our office in alpharetta , georgia .
program_re: divide(254000, 107000)
model_input: text_14
all facilities are leased , except for 165000 square feet of our office in alpharetta , georgia .
table_1
location the alpharetta georgia of approximate square footage is 254000 ;
table_2
location the jersey city new jersey of approximate square footage is 107000 ;