# dacode / dacode-data-sa-025

- 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`.

Using the Interquartile Range (IQR) method, detect outliers in the 'Price' and 'No. of People rated' columns of the dataset. For each of these features, calculate the number of outliers, as well as the upper and lower bounds used to identify them. Record the results in a file named result.csv, following the format provided in 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