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:
| city                |   january (avg high degree) |   january (avg low degree) |   july (avg high degree) |   july (avg low degree) |
|:--------------------|----------------------------:|---------------------------:|-------------------------:|------------------------:|
| winnipeg , mb       |                        10.6 |                        6.5 |                     78.4 |                    56.3 |
| saskatoon , sk      |                        13.8 |                        5.3 |                     77.5 |                    52.9 |
| regina , sk         |                        15.3 |                        4.2 |                     78.2 |                    53.4 |
| quebec city , qc    |                        19.4 |                        3   |                     76.5 |                    57.2 |
| edmonton , ab       |                        20.7 |                        0.1 |                     73   |                    49.1 |
| ottawa , on         |                        21.6 |                        6.1 |                     79.9 |                    60.3 |
| calgary , ab        |                        30.4 |                        8.2 |                     73.8 |                    49.6 |
| montreal , qc       |                        22.5 |                        6.8 |                     79.3 |                    61   |
| halifax , ns        |                        31.8 |                       17.2 |                     73.6 |                    59.2 |
| st john 's , nl     |                        30.6 |                       17.2 |                     69.3 |                    51.6 |
| toronto , on        |                        30.7 |                       19.8 |                     79.9 |                    64.4 |
| windsor , on        |                        31.5 |                       18.9 |                     82.6 |                    64.2 |
| vancouver , bc      |                        44.2 |                       34.3 |                     71.8 |                    56.7 |
| kamloops , bc       |                        32.7 |                       21.4 |                     84   |                    57.6 |
| yellowknife , nt    |                         6.9 |                       21.1 |                     70.3 |                    54.7 |
| iqaluit , nu        |                         9   |                       23.6 |                     54.1 |                    39.4 |
| moncton , nb        |                        25.3 |                        6.8 |                     76.5 |                    55.2 |
| charlottetown , pei |                        25.9 |                       10.2 |                     73.9 |                    57.4 |
| whitehorse , yt     |                        12.2 |                        2.6 |                     69.1 |                    46.4 |

Question:
How much higher is the average high temperature in July compared to January across all cities?


id: 58c12f5c85dc3306c3e383b2ae5f130c
qtype: NumericalReasoning
label: 51.93