# dacode / dacode-data-sa-053

- 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`.

From the January 2018 dataset, select samples with a status of 'failed' and 'successful'. Apply a logarithmic transformation to the 'usd_goal_real' feature. Perform a Shapiro-Wilk normality test on the transformed data, calculating both the test statistic and p-value. Based on the p-value, conclude whether the data exhibits a "Normal Distribution" or a "Non-Normal Distribution". Present your findings as follows:

"""
{
    "Shapiro stat": [...],
    "P-value": [...],
    "Conclusion": [...]
}
"""
Save the json answer in `/app/output/answer.json`.
```
---
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
