Task 554

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): - train_data.csv - test_data.csv Installed: pandas, numpy, matplotlib, seaborn, scipy, scikit-learn, statsmodels, tabulate, sqlite3, plotly (pip install more if needed). Question: Which embarkation point (Emb_1, Emb_2, or Emb_3) has the highest proportion of passengers in the training data, and what is that proportion? Work it out step by step — inspect the data first (head, shape, dtypes), then compute. Answer as: <embarkation point>, <proportion> (comma-separated, label first, proportion as a percentage with two decimals, e.g. 72.10). 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.