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:
|   measurement pointdecember 31 |   the priceline group inc . |   nasdaqcomposite index |   s&p 500index |   rdg internetcomposite |
|-------------------------------:|----------------------------:|------------------------:|---------------:|------------------------:|
|                           2011 |                      100    |                  100    |         100    |                  100    |
|                           2012 |                      132.64 |                  116.41 |         116    |                  119.34 |
|                           2013 |                      248.53 |                  165.47 |         153.58 |                  195.83 |
|                           2014 |                      243.79 |                  188.69 |         174.6  |                  192.42 |
|                           2015 |                      272.59 |                  200.32 |         177.01 |                  264.96 |
|                           2016 |                      313.45 |                  216.54 |         198.18 |                  277.56 |

Question:
what was the percent of the growth in measurement of the the priceline group inc . from 2014 to 2015


pre_text: measurement point december 31 the priceline group nasdaq composite index s&p 500 rdg internet composite .
post_text: .
label: 0.11813000000000001
qa: answer: 11.8%
explanation: the percent of the growth in measurement of the the priceline group inc . from 2014 to 2015 was 11.8%
ann_table_rows: 4
5
steps: op: minus2-1
arg1: 272.59
arg2: 243.79
res: 28.8
op: divide2-2
arg1: #0
arg2: 243.79
res: 11.8%
program: subtract(272.59, 243.79), divide(#0, 243.79)
gold_inds: table_4: measurement pointdecember 31 the 2014 of the priceline group inc . is 243.79 ; the 2014 of nasdaqcomposite index is 188.69 ; the 2014 of s&p 500index is 174.60 ; the 2014 of rdg internetcomposite is 192.42 ;
table_5: measurement pointdecember 31 the 2015 of the priceline group inc . is 272.59 ; the 2015 of nasdaqcomposite index is 200.32 ; the 2015 of s&p 500index is 177.01 ; the 2015 of rdg internetcomposite is 264.96 ;
exe_ans: 0.11813000000000001
tfidftopn: text_0: measurement point december 31 the priceline group nasdaq composite index s&p 500 rdg internet composite .
program_re: divide(subtract(272.59, 243.79), 243.79)
model_input: table_0
measurement pointdecember 31 the measurement pointdecember 31 of the priceline group inc . is the priceline group inc . ; the measurement pointdecember 31 of nasdaqcomposite index is nasdaqcomposite index ; the measurement pointdecember 31 of s&p 500index is s&p 500index ; the measurement pointdecember 31 of rdg internetcomposite is rdg internetcomposite ;
table_4
measurement pointdecember 31 the 2014 of the priceline group inc . is 243.79 ; the 2014 of nasdaqcomposite index is 188.69 ; the 2014 of s&p 500index is 174.60 ; the 2014 of rdg internetcomposite is 192.42 ;
table_5
measurement pointdecember 31 the 2015 of the priceline group inc . is 272.59 ; the 2015 of nasdaqcomposite index is 200.32 ; the 2015 of s&p 500index is 177.01 ; the 2015 of rdg internetcomposite is 264.96 ;