# dacode / dacode-data-sa-053 - 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`. From the January 2018 dataset, select samples with a status of 'failed' and 'successful'. Apply a logarithmic transformation to the 'usd_goal_real' feature. Perform a Shapiro-Wilk normality test on the transformed data, calculating both the test statistic and p-value. Based on the p-value, conclude whether the data exhibits a "Normal Distribution" or a "Non-Normal Distribution". Present your findings as follows: """ { "Shapiro stat": [...], "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