Task: Table-QA (source dataset: TableBench)

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:
|   Unnamed: 0 | district             | province              | region       |   ubigeo |   elevation (m) |
|-------------:|:---------------------|:----------------------|:-------------|---------:|----------------:|
|            1 | suykutambo           | espinar               | cusco        |    80807 |            4801 |
|            2 | condoroma            | espinar               | cusco        |    80802 |            4737 |
|            3 | san antonio          | puno                  | puno         |   210113 |            4700 |
|            4 | ananea               | san antonio de putina | puno         |   211002 |            4660 |
|            5 | morococha            | yauli                 | junín        |   120805 |            4550 |
|            6 | san antonio de chuca | caylloma              | arequipa     |    40514 |            4525 |
|            7 | santa ana            | castrovirreyna        | huancavelica |    90411 |            4473 |
|            8 | marcapomacocha       | yauli                 | junín        |   120804 |            4415 |
|            9 | capazo               | el collao             | puno         |   210502 |            4400 |
|           10 | paratia              | lampa                 | puno         |   210707 |            4390 |
|           11 | cojata               | huancané              | puno         |   210602 |            4355 |
|           12 | yanacancha           | pasco                 | pasco        |   190113 |            4350 |
|           13 | chaupimarca          | pasco                 | pasco        |   190101 |            4338 |
|           14 | macusani             | carabaya              | puno         |   210301 |            4315 |
|           15 | huayllay             | pasco                 | pasco        |   190104 |            4310 |
|           16 | caylloma             | caylloma              | arequipa     |    40505 |            4310 |
|           17 | vilavila             | lampa                 | puno         |   210710 |            4300 |
|           18 | tanta                | yauyos                | lima         |   151028 |            4278 |
|           19 | tinyahuarco          | pasco                 | pasco        |   190111 |            4275 |

Question:
What is the average elevation of districts in the Cusco region that have an elevation above 4700 meters?


id: ea29c3703787096422647ea08ceb19f9
qtype: NumericalReasoning
label: 4769