Explore a new datasetWorkflowLow risk

I have a dataset: {{dataset_description}} ({{rows}} rows). My goal: {{goal}}.

Walk me through a first-pass exploration in Python (pandas):
1. Load and show shape, dtypes and a sample.
2. Missing values, duplicates and obviously wrong values per column.
3. Distributions for key numeric columns and top values for categoricals.
4. Three relationships most relevant to my goal, with a chart each.
5. Data-quality issues to fix before deeper analysis.

Give runnable code cells and tell me what to look for in each output.