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:
| season    | series                              |   races |   poles |   wins | points   | final placing   |
|:----------|:------------------------------------|--------:|--------:|-------:|:---------|:----------------|
| 2003      | formula renault monza winter series |       2 |       0 |      0 | 18       | 8th             |
| 2004      | formula renault monza               |      16 |       3 |      5 | 375      | 1st             |
| 2004      | formula junior 1600 spain           |       9 |       6 |      4 | 119      | 1st             |
| 2004      | formula renault 1600 belgium        |       4 |       0 |      1 | 65       | 11th            |
| 2005      | austrian fomula three championship  |       7 |       6 |      3 | 75       | 1st             |
| 2005      | british formula three               |       5 |       0 |      0 | 0        | nc              |
| 2005      | formula renault 2.0 italia          |       0 |       0 |      0 | 0        | nc              |
| 2005      | recaro formel 3 cup                 |       3 |       1 |      0 | 0        | nc              |
| 2006      | formula three euroseries            |      19 |       0 |      0 | 12       | 15th            |
| 2006      | british formula three               |       2 |       0 |      0 | 0        | nc              |
| 2006      | masters of formula three            |       1 |       0 |      0 | n / a    | 13th            |
| 2007      | formula renault 3.5 series          |      14 |       0 |      0 | 0        | nc              |
| 2007      | formula three euroseries            |       2 |       0 |      0 | 0        | nc              |
| 2008      | gp2 asia series                     |       8 |       0 |      0 | 0        | 23rd            |
| 2008      | gp2 series                          |      13 |       0 |      0 | 0        | 30th            |
| 2008 - 09 | gp2 asia series                     |      11 |       0 |      0 | 0        | 33rd            |
| 2009      | gp2 series                          |      20 |       0 |      0 | 0        | 23rd            |
| 2009      | formula renault 3.5 series          |       6 |       0 |      0 | 7        | 23rd            |
| 2009 - 10 | gp2 asia series                     |       8 |       0 |      0 | 7        | 13th            |
| 2010      | gp2 series                          |      20 |       0 |      0 | 12       | 16th            |
| 2011      | gp2 asia series                     |       4 |       0 |      0 | 9        | 8th             |
| 2011      | gp2 series                          |      18 |       0 |      0 | 1        | 21st            |

Question:
In the context of racing, Win Rate is calculated as the total number of wins divided by the total number of races, multiplied by 100, indicating a driver's ability to win races. In which series the dirver has the highest Win Rate?


id: decc298deb2a1a9e15c9b0ee355acc96
qtype: NumericalReasoning
label: formula junior 1600 spain