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The task

You are a data-analysis agent working in a sandbox. Use your code-execution tool to inspect the files and compute the answer. Files (in /home/user/input, no subfolders): - housing.csv Installed: pandas, numpy, matplotlib, seaborn, scipy, scikit-learn, statsmodels, tabulate, sqlite3, plotly (pip install more if needed). Question: Which feature in the Boston housing dataset shows the strongest negative correlation with the target variable MEDV, and what is the magnitude of that correlation? Work it out step by step — inspect the data first (head, shape, dtypes), then compute. Answer as: <feature>, <correlation> (comma-separated, feature name first, keep the negative sign and two decimals). Answer with a single clean value: a bare number (no commas or units, e.g. 95293), a short label, yes/no, or a comma-separated list. Keep decimal precision. If there's no applicable answer, write: Not Applicable Write only that value to /workdir/answer.txt (e.g. `echo -n "<value>" > /workdir/answer.txt`), then stop.