# dacode / dacode-plot-scatter-013 - 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`. Examine how job categories are distributed across different years of experience. Clean the dataset by grouping the job categories and calculating the frequency of each category by year. Convert job categories to numerical values for plotting. Create a scatter plot following plot.yaml guidelines to visualize this relationship, and save it as ‘result.png’. Save the code to produce the plot in `/app/output/plot.py`. ``` --- 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