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Helps people understand what happened during the pandemic days
Helps people understand what happened during the pandemic days
The application is open and can be used by anybody. Especially people from Brazil
There are some open data sources integrated into the app. That can be consulted and tested. This app incluse, also, many KPIs about risk cases in world and Brazil
Users can explore historical air pollution levels in major cities worldwide, comparing them to regional averages. The app reveals trends in air quality over time and helps identify cities with the highest and lowest pollution levels. By analyzing the concentration of specific air pollutants, such as PM2.5 and NOx, users can discover correlations between air quality and asthma rates in different regions. This app also provides insights into the impact of urbanization and industrialization on air quality, allowing users to understand the potential health risks associated with varying pollution levels. Additionally, it highlights the progress made in reducing air pollution in certain areas, offering a comprehensive view of global air quality trends.
The app has significantly impacted public health awareness by providing easy access to critical data on air pollution and its effects on respiratory health. It has enabled health professionals, policymakers, and the general public to make informed decisions about air quality management and mitigation strategies, ultimately contributing to efforts in reducing pollution-related health risks.
The audience for this app includes: 1. Public Health Professionals: Researchers and healthcare providers interested in studying the effects of air pollution on health, particularly respiratory conditions like asthma. 2. Policymakers and Government Agencies: Officials who develop regulations and policies to improve air quality and public health. 3. Environmental Organizations: Groups focused on environmental protection and advocacy, using the app to support initiatives for cleaner air. 4. Urban Planners and City Officials: Professionals involved in urban development who need data on pollution levels to make informed decisions about infrastructure and zoning. 5. Educational Institutions and Researchers: Students and academics studying environmental science, public health, or urban planning. 6. General Public: Individuals concerned about air quality and its impact on health, looking for information about pollution levels in their cities or regions.
The app leverages comprehensive data analytics to visualize and compare air pollution levels across different regions and times. By utilizing advanced analytics, it provides actionable insights into pollution trends and their correlation with health outcomes, enabling more targeted and effective public health interventions.
I use this app to explore different features in the Qlik Cloud: hypothesis testing, integration with Python, AutoML, Glossary, Open AI using Rest API (before Qlik had the Open AI connector), AWS Lambda functions and more.
I use this app for demo and training of my data science and research team. We help healthcare customers in using Qlik for medical research and this app is how I prepare my team and the customer for this complex task.
People interested in science or medical research, healthcare or integration with different technologies.
The used is free for educational purposes. It is an anonymized sample of the Framingham Heart study. I also enrich the data with some extra information live CVD risk scores, which was calculated in Python and sent back to Qlik via Qlik API. I has almost all features available in the cloud.
Discover how sunburst charts can help you. Explore multiple ways of displaying hierarchies and measures, drill-down, flexible labels, custom colors, center content, HTML tooltips, and more.
Experience firsthand how an interactive sunburst chart can empower intuitive exploration of hierarchical data structures through a set of sliced concentric rings and how it can be tailored to specific needs.
Everyone looking to enable more efficient and insightful exploration of hierarchical datasets within their Qlik environment.
This app features sunburst visualizations powered by AnyChart's Sunburst Chart extension for Qlik Sense, using U.S. Census data for illustration.