Generate Exploratory Data Analysis (EDA) Steps/Code

Generate starter code in [Language/Library, e.g., 'Python using Pandas, Matplotlib, and Seaborn', 'R using dplyr and ggplot2'] for performing basic Exploratory Data Analysis (EDA) on a dataset loaded into a dataframe named 'df'. Assume 'df' contains [Briefly describe data, e.g., 'customer survey responses with numerical and categorical columns']. The code should include steps/functions for:
- Viewing the first few rows (.head())
- Getting data types and non-null counts (.info())
- Calculating summary statistics (.describe())
- Visualizing distributions of key numerical columns (histograms/boxplots)
- Visualizing counts of key categorical columns (bar charts)
- Exploring relationships between 2-3 key variables (scatter plots/pairplots)