# dacode / dacode-data-sa-060 - taskset: [dacode](https://harnessreport.com/tasks/dacode.md) - difficulty: hard - 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`. Filter the data for each season by calculating the quartiles and outlier range, excluding any data outside this range. Then, perform the Shapiro-Wilk normality test to calculate the normality of bike rental counts under different weather conditions (Clear, Misty, Rainy). Based on the p-values obtained, select the final conclusion from "Data is not normally distributed" and "Data is normally distributed". Provide your response in the following format: """ { "Clear weather P-value": [...], "Misty weather P-value": [...], "Rainy weather 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