Floods in Asia 

Flood in Asia: Regional Patterns and Insights

Explore Our Visualizations

Discover our interactive dashboards designed to help you analyze floods across Asia. These tools allow you to explore data on flood occurrences, total affected populations, disaster origins, and the most impacted regions over recent years.

Dashboard Features

• Key Metrics:

  • Total Affected Population: Displays the number of people impacted by floods.

  • Total Deaths: Highlights fatalities caused by flood events.

• Interactive Exploration:

  • Clickable Visualizations: Click on elements to dive deeper into specific data points, such as regional impacts.

  • Dynamic Filters: Customize your view by selecting timeframes, flood types, and affected areas.

  • Subregion Filter: Choose from various subregions to focus your analysis on specific areas.

  • Year Selection: Easily adjust the year to view data from specific years and track trends over time.

  • Geographical Mapping: Visualize the distribution and severity of floods across various Asian countries.

  • Trends and Comparisons: Analyze trends in flood occurrences and impacts through various chart types.

Our Tableau dashboards provide a user-friendly experience, enabling you to gain valuable insights into the flood challenges facing Asia effectively.

Association Rules Analysis

In this analysis, we can sort the rules by decreasing support or confidence.

Support refers to the proportion of transactions in the dataset that contain a specific rule. It indicates how frequently the rule applies in the dataset. A higher support value suggests that the rule is more relevant.

Confidence measures the reliability of the inference made by the rule. It indicates the likelihood of the consequent occurring given that the antecedent is present. A higher confidence value signifies that the rule has a strong predictive power.

For example, the following rule can be interpreted as:

Rule: Origin=Heavy rain, Total Affected=Severe Impact, Country=China → Disaster Subtype=Riverine flood

• Interpretation: This rule suggests that when there is heavy rain and severe impacts in China, there is a high likelihood that the disaster subtype will be classified as a riverine flood. The support and confidence values associated with this rule would quantify how often this scenario occurs in the dataset and how reliable this prediction is based on historical data.