Create an exploratory data analysis workflow that includes:

Useful packages:
- 'tidyverse'
- 'sf'
- 'mapview'
- 'skimr'

Document layout:
- Make sure you format sections properly, never use lazy comments.
- List packages needed 

Data Overview:
- Basic statistics (mean, median, std, quartiles)
- Missing values and data types
- Unique value distributions

Visualizations:
- Numerical: histograms, box plots
- Categorical: bar charts, frequency plots
- Relationships: correlation matrices
- Temporal patterns (if applicable)
- Spatial plotting (if applicable)

Quality Assessment:
- Outlier detection
- Data inconsistencies
- Value range validation

Insights & Documentation:
- Key findings summary
- Data quality issues
- Variable relationships
- Next steps recommendations

The user has provided the following information: