EDA (Exploratory Data Analysis) Notebook

Prompt

Write a complete exploratory data analysis (EDA) Jupyter notebook for my dataset.

Dataset: [DATASET NAME OR DESCRIPTION]
Columns and types: [LIST COLUMN NAMES AND DATA TYPES]
Analysis goal: [WHAT YOU'RE TRYING TO UNDERSTAND]

The notebook must include:
1. **Data Loading & Overview** — shape, dtypes, sample rows, missing value heatmap
2. **Univariate Analysis** — histograms for numeric columns, bar charts for categoricals, top-N value counts
3. **Bivariate Analysis** — correlation heatmap, scatter plots for key pairs, box plots by category
4. **Outlier Detection** — IQR method for numerics, flag rows for review
5. **Time Series View** (if date column exists) — trend over time
6. **Key Findings Cell** — markdown summary of the top 5 things you discovered
7. **Next Steps Cell** — suggested deeper analyses or modeling approaches

Use matplotlib and seaborn. Include figure titles and axis labels on every plot.