# dacode / dacode-data-wrangling-022 - 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`. Transform the airquality DataFrame from a wide to long format. Then, generate a pivot table with 'Month' and 'Day' as indexes, with different air quality metrics as columns and their readings as values. Save the result in 'cleaned_airquality.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