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Qlik Gallery is meant to encourage Qlikkies everywhere to share their progress – from a first Qlik app – to a favorite Qlik app – and everything in-between.
This application shows the evolution of cases over the years, mainly information from Brazil.
DC Messenger was built to simplify access to Qlik data by integrating it with WhatsApp, making data-driven insights accessible from anywhere. It allows users to ask questions about their Qlik estate, receiving tailored visualizations, answers from Qlik Answers assistants, key statistics, and performing actions like app reloads directly within the messaging app.
This dashboard was one of my first attempts in QlikSense. It is a simple dashboard which gives insights over deals won and deals lost. It has competitor details and the reason why the deal was lost. It basically gives an idea about the strength of the organization and where it loses, to whom it loses and the reason for the loss.
The purpose of this dashboard is to highlight the customization and interactivity capabilities of Qlik through a holiday-themed travel experience. Users can explore their past trips, get useful information about their travel destinations, and organize their future travel plans by managing a personalized wishlist. The dashboard allows users to visualize historical travel data, including destinations, trip durations, and seasonal trends, while offering real-time insights into upcoming destinations based on factors like weather, costs, and available activities. This interactive tool is designed for travel enthusiasts, frequent travelers, and anyone looking to make informed decisions about their trips. It demonstrates how Qlik’s powerful analytics can transform travel data into valuable insights, empowering users to better plan and reflect on their journeys. The dashboard showcases the flexibility of Qlik Sense in creating engaging and dynamic user experiences, making it an invaluable tool for personalized decision-making and future travel planning.
The purpose of this app is to showcase the customization and interactivity capabilities of Qlik Sense through a holiday-themed simulation, where users assist Santa in optimizing his gift delivery route across Brazilian cities. The app displays a map-based route with time and weight constraints, showing how adjustments to delivery order and speed impact the journey time. It uses factors like population and distance to demonstrate real-time data processing and visualization. This app is designed for BI enthusiasts, Qlik users, and potential clients, offering an engaging way to explore Qlik Sense’s flexibility in building interactive experiences beyond standard dashboards. By providing a fun, hands-on example, the app illustrates how Qlik Sense can be a powerful tool not only for data insights but also for planning and operational simulations, adding value in fields that require dynamic decision-making and strategy testing.
O gerente da Segurança do Trabalho me pediu para criar um relatório com os acidentes na empresa, e em especial, um gráfico do corpo humano com os locais das lesões. Foi uma grande experiência e um baita conhecimento adquirido para resolver esse simples gráfico.
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.