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:
|   rank | airline / holding              |   passenger fleet |   current destinations | alliance / association   |
|-------:|:-------------------------------|------------------:|-----------------------:|:-------------------------|
|      1 | lufthansa group                |               627 |                    283 | star alliance            |
|      2 | ryanair                        |               305 |                    176 | elfaa                    |
|      3 | air france - klm               |               621 |                    246 | skyteam                  |
|      4 | international airlines group   |               435 |                    207 | oneworld                 |
|      5 | easyjet                        |               194 |                    126 | elfaa                    |
|      6 | turkish airlines               |               222 |                    245 | star alliance            |
|      7 | air berlin group               |               153 |                    145 | oneworld                 |
|      8 | aeroflot group                 |               239 |                    189 | skyteam                  |
|      9 | sas group                      |               173 |                    157 | star alliance            |
|     10 | alitalia                       |               143 |                    101 | skyteam                  |
|     11 | norwegian air shuttle asa      |                79 |                    120 | elfaa                    |
|     12 | pegasus airlines               |                42 |                     70 | n / a                    |
|     13 | wizz air                       |                45 |                     83 | elfaa                    |
|     14 | transaero                      |                93 |                    113 | n / a                    |
|     15 | tap portugal                   |                71 |                     80 | star alliance            |
|     16 | aer lingus                     |                46 |                     75 | n / a                    |
|     17 | finnair                        |                44 |                     65 | oneworld                 |
|     18 | s7                             |                52 |                     90 | oneworld                 |
|     19 | air europa                     |                40 |                     54 | skyteam                  |
|     20 | utair aviation                 |               108 |                    117 | n / a                    |
|     21 | sunexpress                     |                23 |                     48 | n / a                    |
|     22 | flybe                          |                68 |                     56 | elfaa                    |
|     23 | brussels airlines              |                45 |                     67 | star alliance            |
|     24 | aegean airlines                |                29 |                     40 | star alliance            |
|     25 | monarch airlines               |                39 |                     30 | n / a                    |
|     26 | virgin atlantic                |                41 |                     37 | n / a                    |
|     27 | atlasjet                       |                15 |                     15 | n / a                    |
|     28 | lot polish airlines            |                40 |                     54 | star alliance            |
|     29 | jet2.com                       |                49 |                     59 | elfaa                    |
|     30 | meridiana fly                  |                18 |                     40 | n / a                    |
|     31 | ural airlines                  |                29 |                     66 | n / a                    |
|     32 | czech airlines                 |                25 |                     49 | skyteam                  |
|     33 | airbaltic                      |                28 |                     60 | n / a                    |
|     34 | onur air                       |                29 |                     21 | n / a                    |
|     35 | ukraine international airlines |                40 |                     54 | n / a                    |
|     36 | olympic air                    |                16 |                     37 | n / a                    |
|     37 | tarom                          |                23 |                     48 | skyteam                  |
|     38 | icelandair                     |                27 |                     36 | n / a                    |
|     39 | croatia airlines               |                13 |                     40 | star alliance            |
|     40 | air serbia                     |                13 |                     34 | n / a                    |
|     41 | belavia                        |                23 |                     40 | n / a                    |
|     42 | cyprus airways                 |                 9 |                     18 | n / a                    |
|     43 | bulgaria air                   |                11 |                     22 | n / a                    |
|     44 | adria airways                  |                12 |                     37 | star alliance            |

Question:
Fleet Utilization Rate is defined as the number of current destinations served by an airline divided by its passenger fleet size. According to this definition of Fleet Utilization Rate, which airline has the highest fleet utilization rate?


id: 6b1d72a62b98d5e4cc0ab30df170fe0d
qtype: NumericalReasoning
label: adria airways