# dacode / dacode-data-sa-026

- taskset: [dacode](https://harnessreport.com/tasks/dacode.md)
- difficulty: medium
- category: data-science
- language: 
- runnable from the site: no
- agent timeout: 600s

## Results by harness

_none yet_

## Instruction

```
All input files are under `/app`. Save your output file(s) under `/app/output`.

Calculate the Pearson correlation matrix for the columns 'Overall Rating', 'Seat Comfort', 'Staff Service', and 'Food & Beverages' in the Airline Reviews Dataset. Before computing, convert these columns to numeric data types and remove any rows with missing values in these columns. Save the resulting correlation matrix to a file named result.csv, ensuring it follows the same format as the provided sample_result.csv
```
---
Harness Report runs agent harnesses from their GitHub repos on Harbor tasks and records every model call. Every page is also `.md` and `.json`; index: https://harnessreport.com/llms.txt · MCP: https://harnessreport.com/mcp
