## 5 Use Cases
### Integration of Visualizations into the Analytical Framework  
The visualizations serve as critical tools to validate and communicate the findings of the mathematical models, implementing the institutional structures concept central to our theoretical framework. This integration demonstrates how [PERSON]'s [21] principles of system integrity through communication can be practically implemented:  
* Temporal dimension: violin plots and heatmaps inform temporal resource allocation models. * Hierarchical insights: sunburst charts align with entropy measures and game-theoretic predictions. * Spatial dynamics: interactive maps and clustering analyses validate spatial econometric models. * Dynamic trends: animated bar races contextualize changes in market leadership and behavior over time. This study employs multiple visualization tools to enhance policy analysis after sophisticated data preprocessing in Python. Flourish is used for interactive storytelling, ideal for dynamic data exploration. Tableau enables multi-dimensional policy impact assessments through hierarchical visualizations. Streamlit allows for real-time dashboard generation through the Python library plotly, facilitating interactive decision-making. These tools complement predictive AI techniques by providing human-interpretable outputs. Figure 5, developed in Flourish, is a story that presents three interconnected insights into the hospitality market: (1) an ADR interactive map illustrating the spatial distribution of average daily rates (ADRs) over time, enabling the identification of pricing clusters and trends across regions; (2) an ADR violin plot comparison, showcasing the distinct distributional pricing behaviors of city versus resort hotels; and (3) worldwide temporal hotel patterns, represented as cumulative monthly data highlighting trends in ADR, cancellations, and hotel performance. Figure 6, developed in Tableau, comprises five distinct acts: (1) a bar chart comparing total bookings and cancellations by hotel type, highlighting disparities between city and resort hotels; (2) a heatmap visualizing cancellation rates across global regions, identifying geographic hotspots with high cancellation frequencies; (3) a temporal bar chart showing seasonal variations in bookings and cancellations, emphasizing peak and off-peak behaviors; (4) a stacked bar chart that visualizes customer type distribution across cancellation rates, offering insights into demographic impacts; and (5) a ranking chart displaying countries with the highest cancellation rates. Figure 5: **Interconnected insights into the hospitality market. ** These visualizations collectively offer a comprehensive view of the spatial, typological, and temporal dimensions of the hospitality industry. Interactive version available at: [[https://public.flourish.studio/story/2733675/](https://public.flourish.studio/story/2733675/)]([https://public.flourish.studio/story/2733675/](https://public.flourish.studio/story/2733675/)), accessed on 1 January 2025. Figure 6: **Visualization story with five acts developed in Tableau. ** This multi-layered narrative explores temporal, regional, and demographic aspects of cancellations in the hospitality sector. Interactive version available at: [[https://public.tableau.com/app/profile/decurto/viz/Tendnciesdereservedhotelsilesancancellations/Story1](https://public.tableau.com/app/profile/decurto/viz/Tendnciesdereservedhotelsilesancancellations/Story1)]([https://public.tableau.com/app/profile/decurto/viz/Tendnciesdereservedhotelsilesancancellations/Story1](https://public.tableau.com/app/profile/decurto/viz/Tendnciesdereservedhotelsilesancancellations/Story1)), accessed on 1 January 2025. Figure 7 is an interactive sunburst plot developed in D3.js that segments hotel reservation cancellations hierarchically by customer type, hotel type, and countries. The sunburst design allows for an intuitive exploration of the proportional contributions of various segments to the overall cancellation patterns.