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:
| township   | county      |   pop (2010) |   land ( sqmi ) |   water (sqmi) |   latitude | longitude    |     geo id |   ansi code |
|:-----------|:------------|-------------:|----------------:|---------------:|-----------:|:-------------|-----------:|------------:|
| oak creek  | bottineau   |           24 |          35.445 |          0     |    48.6754 | - 100.471642 | 3800958700 |     1759286 |
| oak valley | bottineau   |           52 |          36.016 |          0.087 |    48.7773 | - 100.511814 | 3800958860 |     1759287 |
| oakhill    | barnes      |           51 |          35.414 |          0.081 |    46.6791 | - 98.017963  | 3800358780 |     1036402 |
| oakland    | mountrail   |           26 |          35.167 |          0.785 |    48.1575 | - 102.109269 | 3806158820 |     1036997 |
| oakville   | grand forks |          200 |          35.059 |          0.047 |    47.8834 | - 97.305536  | 3803558900 |     1036604 |
| oakwood    | walsh       |          228 |          33.526 |          0     |    48.4121 | - 97.339101  | 3809958980 |     1036534 |
| oberon     | benson      |           67 |          57.388 |          0.522 |    47.9254 | - 99.244476  | 3800559060 |     2397849 |
| odessa     | hettinger   |           16 |          35.766 |          0.06  |    46.5832 | - 102.104455 | 3804159100 |     1759459 |
| odessa     | ramsey      |           49 |          37.897 |          8.314 |    47.9688 | - 98.587529  | 3807159140 |     1759587 |
| odin       | mchenry     |           46 |          34.424 |          1.722 |    47.9868 | - 100.637016 | 3804959180 |     1759507 |
| oliver     | williams    |            8 |          35.987 |          0.024 |    48.4233 | - 103.320183 | 3810559260 |     1037033 |
| olivia     | mchenry     |           40 |          35.874 |          0.035 |    47.9004 | - 100.769959 | 3804959300 |     1759508 |
| olson      | towner      |           19 |          35.033 |          0.954 |    48.5058 | - 99.287008  | 3809559380 |     1759659 |
| ontario    | ramsey      |           72 |          33.923 |          1.99  |    48.1632 | - 98.601321  | 3807159460 |     1759588 |
| ops        | walsh       |           63 |          36.015 |          0     |    48.2382 | - 97.578927  | 3809959540 |     1036518 |
| ora        | nelson      |           69 |          34.414 |          0.697 |    47.723  | - 97.946877  | 3806359580 |     1036557 |
| orange     | adams       |           22 |          35.802 |          0.133 |    46.0126 | - 102.053893 | 3800159620 |     1037214 |
| oriska     | barnes      |           65 |          35.082 |          0.087 |    46.9354 | - 97.752733  | 3800359700 |     1036418 |
| orlien     | ward        |           47 |          35.645 |          0.72  |    47.9852 | - 101.796936 | 3810159740 |     1036954 |
| orthell    | williams    |           12 |          35.894 |          0.034 |    48.4954 | - 103.728983 | 3810559860 |     1759732 |
| osago      | nelson      |           31 |          35.4   |          0.198 |    47.8009 | - 98.328474  | 3806359900 |     1036565 |
| osborn     | mountrail   |          285 |          30.296 |          4.988 |    47.9872 | - 102.429987 | 3806159940 |     1034001 |
| osford     | cavalier    |           47 |          35.803 |          0.052 |    48.5852 | - 98.115821  | 3801959980 |     1759377 |
| oshkosh    | wells       |           56 |          34.747 |          0.065 |    47.623  | - 99.576942  | 3810360020 |     1759708 |
| osloe      | mountrail   |           41 |          35.077 |          0.903 |    48.1463 | - 101.976499 | 3806160060 |     1036937 |
| osnabrock  | cavalier    |           36 |          35.505 |          0.439 |    48.5942 | - 98.241946  | 3801960140 |     2397851 |
| ostby      | bottineau   |           45 |          35.452 |          0.027 |    48.5811 | - 100.352948 | 3800960180 |     1759288 |
| otis       | mclean      |           41 |          35.152 |          0.656 |    47.799  | - 100.896513 | 3805560260 |     1759541 |
| overland   | ramsey      |           14 |          35.602 |          0.4   |    48.4062 | - 98.644574  | 3807160340 |     1759589 |
| ovid       | lamoure     |           46 |          35.328 |          0.505 |    46.319  | - 98.107769  | 3804560420 |     1036886 |
| owego      | ransom      |           21 |          36.034 |          0.029 |    46.5093 | - 97.319286  | 3807360460 |     1036866 |

Question:
Population Density is calculated as the population of a township divided by its land area in square miles. Which township has the highest population density?


id: 955db57fe1895a7e2d1e08c2105c8dc3
qtype: NumericalReasoning
label: osborn