# 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