In this tutorial you will create a simple dashboard using ArcGIS Dashboards. The dashboard uses a map of medical facilities in Los Angeles County (sample data only) and includes interactive chart and list elements.A dashboard is composed of several elements that work together. Each element is unique and has its own unique configuration settings. The dashboard will include four elements; a map, serial chart, list, and header. The map will be configured to interact with the chart and list, and the list will be configured to interact with the map.

The Common Operating Picture (COP) Incident Dashboards contain information on incidents of interest as defined by the National Operations Center (NOC) and related geospatial and incident-specific information to provide strategic enterprise situational awareness by incident type.

An ArcGIS Blog tutorial that guides you through creating your first dashboard using ArcGIS Dashboards.ArcGIS Dashboards is a configurable web app available in ArcGIS Online that enables users to convey information by presenting interactive charts, gauges, maps, and other visual elements that work together on a single screen.In this tutorial you will create a simple dashboard using ArcGIS Dashboards. The dashboard uses a map of medical facilities in Los Angeles County (sample data only) and includes interactive chart and list elements._Communities around the world are taking strides in mitigating the threat that COVID-19 (coronavirus) poses. Geography and location analysis have a crucial role in better understanding this evolving pandemic.When you need help quickly, Esri can provide data, software, configurable applications, and technical support for your emergency GIS operations. Use GIS to rapidly access and visualize mission-critical information. Get the information you need quickly, in a way that’s easy to understand, to make better decisions during a crisis.Esri’s Disaster Response Program (DRP) assists with disasters worldwide as part of our corporate citizenship. We support response and relief efforts with GIS technology and expertise.More information...

The statistics and data points on this dashboard will update based on user-selected date range and the current map view extent. Search, pan and zoom to an area of interest, and select the time frame to see how many observations are being collected in your area during the Mosquito Habitat Photo Challenge! The date range selector is in the upper right corner, with options to view All of 2021, Prior to Challenge, and During Challenge. Note that data is limited to observations collected after 2021-01-01.

Each element of the dashboard can be expanded to fill the screen (look for the expand icon in the upper right of the element), or simply drag the boundaries of the element to resize it.

If you would like to create a custom view of the dashboard to bookmark or share, use the MHPC Dashboard Extent Tool to generate a custom URL.

The National Weather Service collects reports of severe weather events and weather-related damage and continuously updates this information each day. These reports are preliminary, whereas official verified reports are housed at the NOAA National Centers for Environmental Information. This ArcGIS Dashboard displays Local Storm Reports from the 122 forecast offices across the U.S. and aggregated by Esri. Each element in the dashboard is interactive and will filter based on interacting with either the graphical or map elements. Other related layers in the ArcGIS Living Atlas of the World include USA Storm Reports and USA Weather Watches and Warnings.

Dashboard Software Market Outlook

The global dashboard software market size was estimated to be USD 4.5 billion in 2023 and is projected to reach USD 9.8 billion by 2032, demonstrating a compound annual growth rate (CAGR) of approximately 9.2%. This consistent growth trajectory is largely driven by the increasing demand for data visualization tools that simplify complex data sets, thereby enabling organizations to make informed business decisions swiftly. As businesses across varied sectors recognize the strategic edge offered by data-driven insights, the emphasis on adopting dashboard software is intensifying, propelling market expansion.

One of the primary growth factors fueling the dashboard software market is the burgeoning need for real-time data analytics. In today's rapidly evolving business landscape, organizations are striving to remain agile and responsive to market changes. Dashboard software offers the capability to aggregate, process, and visualize data in real-time, empowering decision-makers with timely insights. This agility not only aids in operational efficiency but also facilitates proactive strategic planning, thereby enhancing competitive advantage. Furthermore, the integration of artificial intelligence and machine learning into dashboard solutions is enhancing their predictive analytics capabilities, allowing businesses to foresee trends and make anticipatory adjustments.

Another significant driver is the trend towards digital transformation, which has seen organizations of all sizes committing substantial resources to modernizing their IT infrastructures. As companies pivot towards more digitalized operations, the demand for sophisticated tools that can streamline data interpretation and reporting is skyrocketing. Dashboard software fits neatly into this narrative, being a pivotal element in the digital transformation toolkit. Its role in consolidating disparate data sources into cohesive, actionable insights is crucial, particularly in industries such as healthcare and retail, where data is abundant yet often underutilized.

The proliferation of cloud computing is also a key contributor to the growth of the dashboard software market. Cloud-based solutions offer significant advantages in terms of scalability, flexibility, and cost-effectiveness, making them particularly attractive to small and medium enterprises (SMEs) that may lack the extensive IT infrastructure of larger competitors. Additionally, cloud deployment facilitates seamless updates and collaboration across distributed teams, thereby enhancing the overall functionality and efficiency of dashboard applications. This shift towards cloud-based solutions is expected to continue, driven by the increasing reliance on remote work and virtual collaboration platforms.

Regionally, North America continues to dominate the dashboard software market, attributed to the early adoption of advanced technologies and the presence of key market players in the region. The U.S. is at the forefront, with organizations across sectors leveraging dashboard solutions to harness big data and drive business growth. Europe follows closely, with a notable CAGR, as industries such as finance and telecommunications undergo digital transformations. Meanwhile, the Asia Pacific region is poised for substantial growth, driven by the rapid industrialization and increasing IT investments in countries like China and India. These trends highlight the global appeal and necessity of dashboard software in modern business ecosystems.

Component Analysis

The dashboard software market is segmented by component into software and services. The software segment encompasses a variety of comprehensive tools designed to provide businesses with advanced data visualization capabilities. This segment is witnessing rapid growth as companies across various industries seek to leverage these tools to enhance data-driven decision-making. The software components range from specialized applications designed for specific industry needs to highly customizable platforms that allow for deep integration with existing enterprise systems. As more businesses recognize the importance of data analytics, the demand for sophisticated and feature-rich dashboard software is projected to increase significantly.

While standalone software solutions are a critical aspect of the market, the services segment plays an equally vital role in facilitating the adoption and effective utilization of dashboard software. This includes a range of professional services such as consulting, implementation, and support. Service providers assist organizations in customizi

On May 13, 2025, the Children's Bureau hosted a webinar introducing the new AFCARS dashboard. The webinar provided an overview of updated elements, demonstrated the dashboard's key capabilities, and offered critical guidance on how to interpret reported statistics. Audio Description Version Metadata-only record linking to the original dataset. Open original dataset below.

This dataset contains synthetic health metrics designed for developing and testing AI-powered health dashboards and predictive models. It includes a variety of simulated data points for 100 unique users, generated to mimic real-world health trends without compromising privacy.

Key Features: - Synthetic Data: All data is artificially generated, ensuring no real personal health information is included. - Health Metrics: Includes fields such as Age, HeartRateBPM, StepCount, and DiabetesRisk. - Time-Series Element: Each record is associated with a date, allowing for time-series analysis. - AI/ML Use Case: Ideal for training machine learning models for health prediction, anomaly detection, and personalized wellness recommendations.

Columns: - UserID: Unique identifier for each synthetic user. - Date: Date of the health record (YYYY-MM-DD format). - Gender: Male or Female. - Age: Age of the user (18-80 years). - HeartRateBPM: Heart rate in beats per minute (60-100 BPM). - StepCount: Daily step count (0-20,000 steps). - DiabetesRisk: Binary indicator (0 = No Risk, 1 = At Risk).

Usage: This dataset can be used for: - Exploratory Data Analysis (EDA) - Building predictive models for health outcomes - Developing AI-driven health dashboards - Educational purposes in data science and machine learning courses.

License: Released under CC0-1.0 Universal Public Domain Dedication, allowing free

Blockchain data dashboard: Omni Elements

Smart Home Dashboard Tablet Market Outlook

According to our latest research, the global Smart Home Dashboard Tablet market size reached USD 3.2 billion in 2024, driven by significant advancements in home automation technologies and increasing consumer demand for centralized control solutions. The market is expected to register a robust CAGR of 12.8% over the forecast period, culminating in a projected value of USD 9.1 billion by 2033. This impressive growth trajectory can be attributed to the convergence of IoT, enhanced wireless connectivity, and the rising adoption of smart home ecosystems worldwide, which are collectively transforming how consumers interact with and manage their living environments.

One of the primary growth factors fueling the Smart Home Dashboard Tablet market is the surging integration of Internet of Things (IoT) devices within residential and commercial spaces. As consumers increasingly invest in smart lighting, security systems, climate controls, and entertainment devices, the need for unified control platforms has become paramount. Smart home dashboard tablets serve as the nerve center for these interconnected devices, offering intuitive interfaces that simplify complex automation tasks. Furthermore, the proliferation of high-speed Wi-Fi and advancements in wireless protocols such as Zigbee and Z-Wave are making it easier than ever to deploy and manage a wide array of smart devices, thus bolstering market expansion.

Another significant driver is the growing consumer emphasis on security, convenience, and energy efficiency. Modern dashboard tablets not only provide real-time monitoring and control over home security systems but also facilitate energy management by allowing users to optimize lighting, heating, and appliances based on usage patterns. With increasing awareness of energy conservation and sustainability, these features are particularly appealing to environmentally conscious consumers. Additionally, the integration of voice assistants and AI-driven automation is enhancing user experience, making smart home dashboard tablets a central element in the evolution of digital homes.

The rapid evolution of user interfaces and the trend towards personalized home experiences are also propelling the Smart Home Dashboard Tablet market forward. Manufacturers are investing in advanced display technologies, touch-sensitive controls, and seamless interoperability with third-party smart home platforms. This has led to a new generation of dashboard tablets that are not only aesthetically pleasing but also highly functional and adaptable to various home environments. The increasing availability of these products across diverse price points is democratizing access to smart home technology, further accelerating market penetration across both developed and emerging economies.

From a regional perspective, North America continues to dominate the Smart Home Dashboard Tablet market due to high smart device penetration and consumer readiness to adopt new technologies. However, Asia Pacific is emerging as the fastest-growing region, propelled by rapid urbanization, expanding middle-class populations, and aggressive smart city initiatives in countries like China, Japan, and South Korea. Europe also represents a significant market, with strong demand for home automation solutions fueled by stringent energy efficiency regulations and a growing focus on sustainable living. The Middle East & Africa and Latin America are witnessing gradual adoption, supported by increasing investments in smart infrastructure and rising consumer awareness.

Product Type Analysis

The Product Type segment in the Smart Home Dashboard Tablet market is characterized by a diverse range of offerings, including wall-mounted tablets, portable tablets, integrated smart displays, and other niche variants. Wall-mounted tablets remain the preferred choice for homeowners seeking a permanent and centralized control hub, particularly in new constructions or major renovations. These devices are often integrated seamlessly into walls, providing a sleek and unobtrusive interface for managing all connected smart devices. Their popularity is further driven by their ability to support multi-user profiles and advanced security features, making them ideal for both residential and commercial applications.

Portable tablets, on the other hand, offer flexibility and convenience, ca

Welcome to the Sales Insights Dashboard, a comprehensive analysis of sales data with interactive visualizations and key insights. Follow the steps below to explore the dashboard:

Overview:

The dashboard consist of charts representing Monthly Sales Trends, Regional Profitability, Top 5 Products, Sales by Category and Product Wise Sales and Quantity. Line chart, Area chart, Clustered Bar chart and Doughnut chart can be found in the dashboard.

Monthly Sales Trend

Explore the "Monthly Sales Trend" to understand how sales have evolved over time. Dynamic line charts showcase monthly trends, helping you spot patterns and seasonality.

Product-wise Sales and Quantity:

Delve into the "Product-wise Sales and Quantity" section for a granular view. Clustered bar charts display sales and quantity metrics for each product.

Top 5 Products by Sales:

Identify the "Top 5 Products by Sales" to focus on high-performing items. Doughnut chart offer insights into the top-selling products.

Regional Profitability:

Evaluate "Regional Profitability" to understand which regions contribute the most to profits. Area charts visually represent regional performance.

Sales by Category:

Dive into the "Sales by Category" to identify the most lucrative product categories. Interactive Doughnut charts reveal sales performance, aiding in strategic decision-making.

How to Use:

Interact with dropdowns, sliders, and buttons to customize your view. Hover over charts for detailed tooltips and information. Click on specific elements to filter data and uncover specific insights.

Feedback:

We welcome your feedback to enhance the dashboard further. Share your thoughts in the comments section. Explore the Sales Insights Dashboard now and transform your sales data into actionable insights!

The dashboard set comprises individual web pages for each sensor/location. Each dashboard includes a map showing the location of the station, basic statistics and time series plots. If enough data is available (more than 10 years), a climatology of the temperature record is calculated. The SSTAARS climatology is also plotted along the sensor data. Hourly time series plots are also available at each instrument’s depth.

See "Interactive map of this dataset" resource link below for a navigation map to the dashboard web pages.

This comprehensive quality-controlled data set is to assist the delivery of the data to better characterise thermal stress events on the GBR to users.

The primary data set is temperature from over 100 permanent temperature logger locations within the reef from the AIMS temperature logger program and other platforms, which include both mobile gliders and drifting buoys to permanent weather stations and moorings. Summary plots of the data can be interrogated and daily climatologies are provided so users can quickly determine the thermal history at each site. Other relevant data sets are provided from multiple observing platforms with a summary plot. Some data sets have well developed websites and so a link to those sites and data sources are also provided for these.

Methods:

For each sensor, in reef temperature loggers, mooring instruments, AIMS weather stations and QLD wave buoys, the data is extracted for 2015, 2016 and 2017. The records are aggregated into hourly intervals and the climatology extracted from the full record (when more than 10 years of data exist), as the mean of daily average for each day of the year. Basic statistics for 2016 and 2017 are calculated and the heat accumulation indicators (NOAA’s degree-heating week, and the maximum monthly mean) extracted for the site and the year. In a second tab, the time series of each location is plotted. Many of the elements of the dashboard are dynamic, so the user can zoom in/out or print sections of the plots. The dashboard is generated using a dedicated R code.

The main code used to generate the dashboards is available on GitHub: https://github.com/eatlas/GBR_NESP-TWQ-4.2_AIMS_Water-temperature-dashboards

Limitations of the data:

Many of the sensors contain data outside the project time frame (2015-2017). However, this data was only used to calculate the climatology, when more than 10 years of data exist. Data outside the project time frame are not plotted in the dashboards. Data is available at AIMS DATA centre.

Format:

The dashboards are individual HTML files. The original data can be downloaded from AIMS data centre (temperature loggers, moorings and weather stations, https://www.aims.gov.au/docs/data/data.html ) or from Queensland Environment (wave buoys, https://www.qld.gov.au/environment/coasts-waterways/beach/monitoring/waves-sites )

References:

Drivers of Bleaching on the Great Barrier Reef - Compilation of temperature data from 2015, 2016 and 2017, https://eatlas.org.au/gbr/nesp-twq-4-2-temperature-data-2015-17

Files Location:

The code for this project is available on GitHub: https://github.com/eatlas/GBR_NESP-TWQ-4.2_AIMS_Water-temperature-dashboards

This dataset is filed in the eAtlas enduring data repository at: data\custodian\2018-2021-NESP-TWQ-4\4.2_Oceanographic-drivers-of-bleaching\data\2020-08-05_GBR_AIMS_NESP-TWQ-4-2_Temp-dashboard_2015-17

This Operations Dashboard presents detectable thermal activity from the MODIS sensor on-board NASA's Aqua and Terra satellites for the last 48 hours. MODIS Global Fires is a product of NASA’s Earth Observing System Data and Information System (EOSDIS), part of NASA's Earth Science Data. EOSDIS integrates remote sensing and GIS technologies to deliver global MODIS hotspot/fire locations to natural resource managers and other stakeholders around the World. The Satellite (Thermal) Hotspots and Fire Activity layer can be access from the ArcGIS Living Atlas of the World. Many of the fire stats represented here include the Fire Radiative Power intensity attribute, which is a measure of the total energy output of a fire in megawatts. This metric is important for applications of biomass burning, as fires in areas with greater biomass are associated with higher FRP. Each of the elements in the Dashboard help to filter, select, and zoom into the thousands of features on the map. The basemap was customized using the ArcGIS Vector Tile Style Editor app.

State-of-the-art open network visualization tools like Gephi, KeyLines, and Cytoscape are not suitable for studying street networks with thousands of roads since they do not support simultaneously polylines for edges, navigable maps, GPU-accelerated rendering, interactivity, and the means for visualizing multivariate data. To fill this gap, the present paper presents Dash Sylvereye: a new Python library to produce interactive visualizations of primal street networks on top of tiled web maps. Thanks to its integration with the Dash framework, Dash Sylvereye can be used to develop web dashboards around temporal and multivariate street data by coordinating the various elements of a Dash Sylvereye visualization with other plotting and UI components provided by the Dash framework. Additionally, Dash Sylvereye provides convenient functions to easily import OpenStreetMap street topologies obtained with the OSMnx library. Moreover, Dash Sylvereye uses WebGL for GPU-accelerated rendering when redrawing the road network. We conduct experiments to assess the performance of Dash Sylvereye on a commodity computer when exploiting software acceleration in terms of frames per second, CPU time, and frame duration. We show that Dash Sylvereye can offer fast panning speeds, close to 60 FPS, and CPU times below 20 ms, for street networks with thousands of edges, and above 24 FPS, and CPU times below 40 ms, for networks with dozens of thousands of edges. Additionally, we conduct a performance comparison against two state-of-the-art street visualization tools. We found Dash Sylvereye to be competitive when compared to the state-of-the-art visualization libraries Kepler.gl and city-roads. Finally, we describe a web dashboard application that exploits Dash Sylvereye for the analysis of a SUMO vehicle traffic simulation.

The incident locations represented are approximated and not the actual location of the incident (or individuals residence). A computer generated randomized distance adjustment is applied to each incident location to ensure data are anonymous. This approximated location data is also shown on the dashboard.Interacting with the DashboardMay 2018 Update: Click on one of the charts to filter the displayed data and drop down options. You can select multiple chart elements at a time (i.e. select male for gender and January and February for month). To clear the filters and return to seeing all the data, click on the selected chart elements to remove them.Click on one or more values in drop down to filter the data shown in the display. To clear filters and return to seeing all of the data, click on selected values in the drop down to remove them. For the date filter, select and then delete the text. The map legend is accessible through the navigation in the upper right hand cornerUse the map selection tool in the upper left corner or the map to select calls in specific areas. The following documents what data are collected and why they are being collected. Additional variables will be added to the dashboard in the next phase.Opioid Abuse ProbableA call may be coded as “opioid abuse probable” for many reasons, such asAre there are any medical symptoms indicative of opioid abuse?Are there physical indicators on scene (i.e. drug paraphernalia, pill bottles, etc.)?Are there witnesses or patient statements made that point to opioid abuse?Is there any other evidence that opioid abuse is probable with the patient?“Opioid abuse probable” is determined by Tempe Fire Medical Rescue Department’s Emergency medical technicians and paramedics on scene at the time of the incident. Narcan/Naloxone Given“Narcan/Naloxone Given” refers to whether the medication Narcan/Naloxone was given to patients who exhibited signs or symptoms of a potential opioid overdose or to patients who fall within treatment protocols that require Narcan/Naloxone to be given. Narcan/Naloxone are the same medication with Narcan being the trade name and Naloxone being the generic name for the medication. Narcan is the reversal medication used by medical providers for opioid overdoses.Groups“Groups” are used to determine if there are specific populations that have an increase in opioid abuse. The student population at ASU was being examined for other purposes to determine ASU's overall call volume impact in Tempe. Data collection with the university is consistent with Fire Departments who provide service to the other PAC 12 universities. Since this data set was already being evaluated, it was included in the opioid data collection as well.The Veteran and Homeless Groups were established as demographic tabs to identify trends and determine needs in conjunction with the City of Tempe’s Veterans and Homeless programs. Since these data sets were being evaluated already, they were included in the opioid data collection as well.The “unknown” group includes incidents where a patient is unable to answer or refuses to answer the demographic questions. GenderPatient gender is documented as male or female when crews are able to obtain this information from the patient. There are some circumstances where this information is not readily determined and the patient is unable to communicate with our crews. In these circumstances, crews may document unknown/unable to determine.

This dataset was used by Chicago Police Department analysts to create the publicly available “Chicago Police Sentiment Dashboard” (https://home.chicagopolice.org/statistics-data/data-dashboards/sentiment-dashboard/). This online dashboard displays information related to how safe Chicago residents feel and how much trust they have in the police. The dashboard and this dataset are updated monthly and users are able to view data citywide, as well as within the five detective areas and in each of the 22 districts. Users can sort this data based on year, month and location. Information is also available based on demographics, including age, sex, race, education and income level. The dashboard is meant to improve transparency as well as work toward compliance with the consent decree. The first five columns indicate the type of organizational unit described by the records and which particular unit. Subsequent columns show either a safety or trust score for a demographic group. Scores are derived from responses to survey questions, with each response being a value that ranges from 0-10. Please note that Elucd trust and safety scores are NOT a percentage. A score of 65 means that average response to the questions is 6.5 out of 10. The final two columns show the time period in which the data were collected. The dataset was created by our partner, Elucd (https://elucd.com), through delivering short surveys to Chicago residents through digital ads. See [https://home.chicagopolice.org/wp-content/uploads/2020/12/Dashboard_FAQ_11_25_20.pdf] for more information on the project. This effort is one element of a Chicago Police Department reform process, governed by a consent decree executed between the Office of the Attorney General of the State of Illinois (OAG) and the City of Chicago. For more information on the consent decree, see https://www.chicago.gov/city/en/sites/police-reform/home/consent-decree.html.

The DART: Success After High School Dashboard is a tool used to support the self-evaluation process for whole districts as well as individual schools. It contains a set of data elements provide an indication of the overall condition of a district or school's efforts to ensure all students are ready for their next steps as productive and contributing members of society.

This tool contains data elements that cover a range of school, district, post-secondary and career readiness information including demographics, high school indicators, high school performance, programs of study, post-secondary education outcomes, and career development education.

The DARTs provide a gauge of the overall condition of a district or school, but do not have all available information. They should be treated as a good starting point for exploring the data and identifying areas of focus for further inquiry. Please see the Info tab on the dashboard for detailed data analysis considerations.

In-Vehicle Privacy Dashboard Market Outlook

As per our latest research, the global in-vehicle privacy dashboard market size stood at USD 1.38 billion in 2024, and it is poised to grow at a robust CAGR of 13.7% during the forecast period. By 2033, the market is projected to reach USD 4.31 billion. This significant growth is primarily driven by the increasing adoption of connected vehicles, stringent data privacy regulations, and rising consumer awareness regarding in-vehicle data protection.

One of the primary growth factors for the in-vehicle privacy dashboard market is the exponential increase in data generation within modern vehicles. With the integration of advanced telematics, infotainment systems, and autonomous driving technologies, vehicles now collect vast amounts of personal and operational data. This surge in data collection has heightened concerns about data security and privacy among consumers and regulatory bodies alike. As a result, automakers and technology providers are compelled to implement robust privacy management solutions, such as in-vehicle privacy dashboards, to ensure compliance with global data protection laws like GDPR and CCPA. These dashboards empower users to control, monitor, and manage their data preferences, thereby fostering trust and transparency in the automotive ecosystem.

Another major driver is the evolving regulatory landscape surrounding automotive data privacy. Governments across North America, Europe, and Asia Pacific are introducing stringent legislation to safeguard consumer data, mandating automakers to provide transparent data management solutions. The enforcement of regulations such as the European Union’s General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA) has necessitated the integration of privacy dashboards in vehicles. These regulatory mandates not only drive the adoption of privacy solutions but also encourage innovation in dashboard features, including real-time consent management, access control, and comprehensive monitoring and reporting capabilities.

Consumer awareness and demand for privacy-centric features are also fueling market growth. As drivers become more informed about the risks associated with data sharing and potential misuse, they seek greater control over their personal information. This shift in consumer behavior is prompting automakers and fleet operators to differentiate their offerings by integrating advanced privacy dashboards. Additionally, the proliferation of electric vehicles and autonomous driving technologies is further accelerating the need for sophisticated privacy management tools, as these vehicles rely heavily on data-driven functionalities for optimal performance and safety.

Regionally, North America and Europe are at the forefront of the in-vehicle privacy dashboard market, owing to their strong regulatory frameworks and high penetration of connected vehicles. The Asia Pacific region, led by countries like China, Japan, and South Korea, is witnessing rapid adoption due to the booming automotive industry and increasing digitalization. Latin America and the Middle East & Africa are emerging markets, gradually catching up as awareness and regulatory measures gain momentum. The varied pace of adoption across regions presents both challenges and opportunities for market participants, necessitating tailored strategies to address local regulatory and consumer requirements.

Component Analysis

The in-vehicle privacy dashboard market can be segmented by component into software, hardware, and services. The software segment holds the largest market share, primarily due to the increasing need for advanced privacy management applications that can seamlessly integrate with vehicle infotainment and telematics systems. These software solutions offer features such as real-time data tracking, consent management, and customizable privacy settings, which are essential for compliance with global data privacy regulations. As automakers strive to enhance user experience and trust, investments in software development and updates are expected to remain a key focus area.

Hardware components, although representing a smaller share compared to software, play a pivotal role in ensuring the secure storage and processing of sensitive data within vehicles. Hardware modules such as secure elements, trusted execution environments, and dedicated privacy chips are increasingly being integrated into modern vehicles to provide an

World Happiness This Dataset consists of 4 major verticals covering 1. Family 2. Economy 3. Health 4. Generosity of different countries This data is concluded by collecting different countries data in the years of 2015 , 2016 , 2017 basing on above listed elements.

The COVID-19 pandemic has necessitated the development of robust tools for tracking and modeling the spread of the virus. We present ‘K-Track-Covid,’ an interactive web-based dashboard developed using the R Shiny framework, to offer users an intuitive dashboard for analyzing the geographical and temporal spread of COVID-19 in South Korea. Our dashboard employs dynamic user interface elements, employs validated epidemiological models, and integrates regional data to offer tailored visual displays. The dashboard allows users to customize their data views by selecting specific time frames, geographic regions, and demographic groups. This customization enables the generation of charts and statistical summaries pertinent to both daily fluctuations and cumulative counts of COVID-19 cases, as well as mortality statistics. Additionally, the dashboard offers a simulation model based on mathematical models, enabling users to make predictions under various parameter settings. The dashboard is designed to assist researchers, policymakers, and the public in understanding the spread and impact of COVID-19, thereby facilitating informed decision-making. All data and resources related to this study are publicly available to ensure transparency and facilitate further research.