1. Cuisine Distribution Across Cities

   - Shows the top 15 cuisine types in the dataset

   - Helps understand the culinary diversity of the restaurants


2. Weather Impact on Restaurant Services

   - Analyzes how temperature affects delivery and takeaway services

   - Categorizes temperatures into Freezing, Cold, Mild, Warm, and Hot

   - Reveals how weather conditions might influence restaurant operations



3. Geospatial Distribution of Restaurants

   - Maps restaurant locations

   - Color-coded by temperature

   - Provides insights into geographical spread and temperature variations





4. Humidity and Wind Speed Correlation

   - Scatter plot showing relationship between humidity and wind speed

   - Colored by temperature to add an extra dimension of information



5. Restaurant Opening Hours Distribution

   - Pie chart showing the proportion of restaurants with defined opening hours

   - Helps understand data completeness and restaurant operational transparency




6. Precipitation Impact on Restaurant Services

   - Examines how precipitation affects delivery and takeaway services

   - Categorizes precipitation into No Rain, Light Rain, Moderate Rain, and Heavy Rain



7. Cuisine Diversity by City

   - Ranks cities by the number of unique cuisines

   - Highlights culinary variety across different locations




8. Temperature Distribution

   - Histogram showing the distribution of temperatures

   - Provides insights into the weather conditions in the dataset




9. Restaurant Services Correlation

   - Correlation heatmap of delivery, takeaway, and opening hours

   - Reveals potential relationships between different restaurant services



10. Weather Conditions Box Plot

    - Box plots for temperature, humidity, and wind speed

    - Shows the distribution and potential outliers in weather conditions