# dacode / dacode-data-wrangling-001

- taskset: [dacode](https://harnessreport.com/tasks/dacode.md)
- difficulty: easy
- 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`.

Clean the dataset by deleting records with null values or a total_gross of 0. Preserve the columns genre, release_year, total_gross, and inflation_adjusted_gross. Organize the data by grouping the same genres together and sorting them by release_year in ascending order. Save the cleaned dataset as "disney_movies_total_gross_cleaned.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