EMSIndicators:The number of individual patients administered naloxone by EMSThe number of naloxone administrations by EMSThe rate of EMS calls involving naloxone administrations per 10,000 residentsData Source:The Vermont Statewide Incident Reporting Network (SIREN) is a comprehensive electronic prehospital patient care data collection, analysis, and reporting system. EMS reporting serves several important functions, including legal documentation, quality improvement initiatives, billing, and evaluation of individual and agency performance measures.Law Enforcement Indicators:The Number of law enforcement responses to accidental opioid-related non-fatal overdosesData Source:The Drug Monitoring Initiative (DMI) was established by the Vermont Intelligence Center (VIC) in an effort to combat the opioid epidemic in Vermont. It serves as a repository of drug data for Vermont and manages overdose and seizure databases. Notes:Overdose data provided in this dashboard are derived from multiple sources and should be considered preliminary and therefore subject to change. Overdoses included are those that Vermont law enforcement responded to. Law enforcement personnel do not respond to every overdose, and therefore, the numbers in this report are not representative of all overdoses in the state. The overdoses included are limited to those that are suspected to have been caused, at least in part, by opioids. Inclusion is based on law enforcement's perception and representation in Records Management Systems (RMS). All Vermont law enforcement agencies are represented, with the exception of Norwich Police Department, Hartford Police Department, and Windsor Police Department, due to RMS access. Questions regarding this dataset can be directed to the Vermont Intelligence Center at dps.vicdrugs@vermont.gov.Overdoses Indicators:The number of accidental and undetermined opioid-related deathsThe number of accidental and undetermined opioid-related deaths with cocaine involvementThe percent of accidental and undetermined opioid-related deaths with cocaine involvementThe rate of accidental and undetermined opioid-related deathsThe rate of heroin nonfatal overdose per 10,000 ED visitsThe rate of opioid nonfatal overdose per 10,000 ED visitsThe rate of stimulant nonfatal overdose per 10,000 ED visitsData Source:Vermont requires towns to report all births, marriages, and deaths. These records, particularly birth and death records are used to study and monitor the health of a population. Deaths are reported via the Electronic Death Registration System. Vermont publishes annual Vital Statistics reports.The Electronic Surveillance System for the Early Notification of Community-based Epidemics (ESSENCE) captures and analyzes recent Emergency Department visit data for trends and signals of abnormal activity that may indicate the occurrence of significant public health events.Population Health Indicators:The percent of adolescents in grades 6-8 who used marijuana in the past 30 daysThe percent of adolescents in grades 9-12 who used marijuana in the past 30 daysThe percent of adolescents in grades 9-12 who drank any alcohol in the past 30 daysThe percent of adolescents in grades 9-12 who binge drank in the past 30 daysThe percent of adolescents in grades 9-12 who misused any prescription medications in the past 30 daysThe percent of adults who consumed alcohol in the past 30 daysThe percent of adults who binge drank in the past 30 daysThe percent of adults who used marijuana in the past 30 daysData Sources:The Vermont Youth Risk Behavior Survey (YRBS) is part of a national school-based surveillance system conducted by the Centers for Disease Control and Prevention (CDC). The YRBS monitors health risk behaviors that contribute to the leading causes of death and disability among youth and young adults.The Behavioral Risk Factor Surveillance System (BRFSS) is a telephone survey conducted annually among adults 18 and older. The Vermont BRFSS is completed by the Vermont Department of Health in collaboration with the Centers for Disease Control and Prevention (CDC).Notes:Prevalence estimates and trends for the 2021 Vermont YRBS were likely impacted by significant factors unique to 2021, including the COVID-19 pandemic and the delay of the survey administration period resulting in a younger population completing the survey. Students who participated in the 2021 YRBS may have had a different educational and social experience compared to previous participants. Disruptions, including remote learning, lack of social interactions, and extracurricular activities, are likely reflected in the survey results. As a result, no trend data is included in the 2021 report and caution should be used when interpreting and comparing the 2021 results to other years.The Vermont Department of Health (VDH) seeks to promote destigmatizing and equitable language. While the VDH uses the term "cannabis" to reflect updated terminology, the data sources referenced in this data brief use the term "marijuana" to refer to cannabis. Prescription Drugs Indicators:The average daily MMEThe average day's supplyThe average day's supply for opioid analgesic prescriptionsThe number of prescriptionsThe percent of the population receiving at least one prescriptionThe percent of prescriptionsThe proportion of opioid analgesic prescriptionsThe rate of prescriptions per 100 residentsData Source:The Vermont Prescription Monitoring System (VPMS) is an electronic data system that collects information on Schedule II-IV controlled substance prescriptions dispensed by pharmacies. VPMS proactively safeguards public health and safety while supporting the appropriate use of controlled substances. The program helps healthcare providers improve patient care. VPMS data is also a health statistics tool that is used to monitor statewide trends in the dispensing of prescriptions.Treatment Indicators:The number of times a new substance use disorder is diagnosed (Medicaid recipients index events)The number of times substance use disorder treatment is started within 14 days of diagnosis (Medicaid recipients initiation events)The number of times two or more treatment services are provided within 34 days of starting treatment (Medicaid recipients engagement events)The percent of times substance use disorder treatment is started within 14 days of diagnosis (Medicaid recipients initiation rate)The percent of times two or more treatment services are provided within 34 days of starting treatment (Medicaid recipients engagement rate)The MOUD treatment rate per 10,000 peopleThe number of people who received MOUD treatmentData Source:Vermont Medicaid ClaimsThe Vermont Prescription Monitoring System (VPMS)Substance Abuse Treatment Information System (SATIS)

The global data visualization market, valued at $9.84 billion in 2025, is experiencing robust growth, projected to expand at a Compound Annual Growth Rate (CAGR) of 10.95% from 2025 to 2033. This expansion is fueled by several key drivers. The increasing volume and complexity of data generated across various industries necessitates effective visualization tools for insightful analysis and decision-making. Furthermore, the rising adoption of cloud-based solutions offers scalability, accessibility, and cost-effectiveness, driving market growth. Advances in artificial intelligence (AI) and machine learning (ML) are integrating seamlessly with data visualization platforms, enhancing automation and predictive capabilities, further stimulating market demand. The BFSI (Banking, Financial Services, and Insurance) sector, along with IT and Telecommunications, are major adopters, leveraging data visualization for risk management, fraud detection, customer relationship management, and network optimization. However, challenges remain, including the need for skilled professionals to effectively utilize these tools and concerns regarding data security and privacy. The market segmentation reveals a strong presence of executive management and marketing departments across organizations, highlighting the strategic importance of data visualization in business operations. The market's competitive landscape is characterized by established players like SAS Institute, IBM, Microsoft, and Salesforce (Tableau), along with emerging innovative companies. This competition fosters innovation and drives down costs, making data visualization solutions more accessible to a broader range of businesses and organizations. Regional variations in market penetration are expected, with North America and Europe currently holding significant shares, but Asia Pacific is poised for substantial growth, driven by rapid digitalization and technological advancements in the region. The on-premise deployment mode still holds a considerable market share, though the cloud/on-demand segment is experiencing faster growth due to its inherent advantages. The ongoing trend towards self-service business intelligence (BI) tools is empowering end-users to access and analyze data independently, increasing the overall market demand for user-friendly and intuitive data visualization platforms. Future growth will depend on continued technological advancements, expanding applications across diverse industries, and addressing the existing challenges related to data skills gaps and security concerns. This report provides a comprehensive analysis of the Data Visualization Market, projecting robust growth from $XX Billion in 2025 to $YY Billion by 2033. It covers the period from 2019 to 2033, with a focus on the forecast period 2025-2033 and a base year of 2025. This in-depth study examines key market segments, competitive landscapes, and emerging trends influencing this rapidly evolving industry. The report is designed for executives, investors, and market analysts seeking actionable insights into the future of data visualization. Recent developments include: September 2022: KPI 360, an AI-driven solution that uses real-time data monitoring and prediction to assist manufacturing organizations in seeing various operational data sources through a single, comprehensive industrial intelligence dashboard that sets up in hours, was recently unveiled by SymphonyAI Industrial., January 2022: The most recent version of the IVAAP platform for ubiquitous subsurface visualization and analytics applications was released by INT, a top supplier of data visualization software. IVAAP allows exploring, visualizing, and computing energy data by providing full OSDU Data Platform compatibility. With the new edition, IVAAP's map-based search, data discovery, and data selection are expanded to include 3D seismic volume intersection, 2D seismic overlays, reservoir, and base map widgets for cloud-based visualization of all forms of energy data.. Key drivers for this market are: Cloud Deployment of Data Visualization Solutions, Increasing Need for Quick Decision Making. Potential restraints include: Lack of Tech Savvy and Skilled Workforce/Inability. Notable trends are: Retail Segment to Witness Significant Growth.

Note: In these datasets, a person is defined as up to date if they have received at least one dose of an updated COVID-19 vaccine. The Centers for Disease Control and Prevention (CDC) recommends that certain groups, including adults ages 65 years and older, receive additional doses. On 6/16/2023 CDPH replaced the booster measures with a new “Up to Date” measure based on CDC’s new recommendations, replacing the primary series, boosted, and bivalent booster metrics The definition of “primary series complete” has not changed and is based on previous recommendations that CDC has since simplified. A person cannot complete their primary series with a single dose of an updated vaccine. Whereas the booster measures were calculated using the eligible population as the denominator, the new up to date measure uses the total estimated population. Please note that the rates for some groups may change since the up to date measure is calculated differently than the previous booster and bivalent measures. This data is from the same source as the Vaccine Progress Dashboard at https://covid19.ca.gov/vaccination-progress-data/ which summarizes vaccination data at the county level by county of residence. Where county of residence was not reported in a vaccination record, the county of provider that vaccinated the resident is included. This applies to less than 1% of vaccination records. The sum of county-level vaccinations does not equal statewide total vaccinations due to out-of-state residents vaccinated in California. These data do not include doses administered by the following federal agencies who received vaccine allocated directly from CDC: Indian Health Service, Veterans Health Administration, Department of Defense, and the Federal Bureau of Prisons. Totals for the Vaccine Progress Dashboard and this dataset may not match, as the Dashboard totals doses by Report Date and this dataset totals doses by Administration Date. Dose numbers may also change for a particular Administration Date as data is updated. Previous updates: On March 3, 2023, with the release of HPI 3.0 in 2022, the previous equity scores have been updated to reflect more recent community survey information. This change represents an improvement to the way CDPH monitors health equity by using the latest and most accurate community data available. The HPI uses a collection of data sources and indicators to calculate a measure of community conditions ranging from the most to the least healthy based on economic, housing, and environmental measures. Starting on July 13, 2022, the denominator for calculating vaccine coverage has been changed from age 5+ to all ages to reflect new vaccine eligibility criteria. Previously the denominator was changed from age 16+ to age 12+ on May 18, 2021, then changed from age 12+ to age 5+ on November 10, 2021, to reflect previous changes in vaccine eligibility criteria. The previous datasets based on age 16+ and age 5+ denominators have been uploaded as archived tables. Starting on May 29, 2021 the methodology for calculating on-hand inventory in the shipped/delivered/on-hand dataset has changed. Please see the accompanying data dictionary for details. In addition, this dataset is now down to the ZIP code level.

This database includes data used in the Project Connect Anti-Displacement Dashboard. The file includes 2020 decennial population and housing unit counts at the Block level, combined with 2020 ACS data at the Census Tract level that was used in the 2020 Displacement Risk map. To determine displacement risk, researchers at the University of Texas conducted a three-part analysis: the presence of vulnerable populations, residential market appreciation, and demographic change. To determine vulnerable populations, the authors used indicators to identify residents who, according to academic research, are least able to absorb housing costs, which includes: communities of color, low-income households, heads of households without a bachelor's degree or higher, families with children in poverty, and renters. In 2020, the City of Austin Housing and Planning staff updated the data and simplified the categories. The data sources include the 2020 Census, 2016-2020 ACS 5-year Estimates, and City of Austin Affordable Housing Inventory. This file also includes the total income restricted units from the Comprehensive Affordable Housing Directory (CAHD) and City of Austin Affordable Housing Inventory (AHI) as of 8.22.2022.

Funded by a grant from the Yosemite Conservancy, the Yosemite Observer Dashboard was published in 2023 with the goal of connecting the public with the important work of physical scientists and landscape ecologists at Yosemite National Park. The dashboard is maintained by the Yosemite Physical Sciences and Landscape Ecology Branch of Resource Management and Science. The Yosemite Observer Dashboard can be used to: View current conditions of Yosemite National Park via sensors, monitors, and gages that collect data in real-time and live webcams. Visualize local hazards such as wildfires, smoke plumes, and inclement weather. Discover past, present, and ongoing physical science and landscape ecology projects conducted by park scientists. Explore existing physical science data in context. Gain exposure to credible physical science and landscape ecology data sources. This site relies on data from: AirNow California Data Exchange Center (CDEC) National Interagency Fire Center (NIFC) National Weather Service (NWS) NOAA PurpleAir U.S. Drought Monitor USGS Data on the Current Conditions page are refreshed every 15 minutes, although this does not mean new values are available at that frequency as data is sent to data sources at differing intervals. To view ArcGIS Online feature layers and tables used in the Yosemite Observer Dashboard, visit the Data Sources page.IRMA Data Store Reference

In this research, the performance of the Dashboard for identifying “known unknowns” was evaluated against that of the online ChemSpider database, one of the primary resources used by mass spectrometrists, using multiple previously studied datasets reported in the peer-reviewed literature totaling 162 chemicals. These chemicals were examined using both applications via molecular formula and monoisotopic mass searches followed by rank-ordering of candidate compounds by associated references or data sources. A greater percentage of chemicals ranked in the top position when using the Dashboard, indicating an advantage of this application over ChemSpider for identifying known unknowns using data source ranking. Additional approaches are being developed for inclusion into a non-targeted analysis workflow as part of the CompTox Chemistry Dashboard. This dataset is associated with the following publication: McEachran, A., J. Sobus, and A. Williams. (Analytical and Bioanalytical Chemistry) Identifying known unknowns using the US EPAs CompTox Chemistry Dashboard. Analytical and Bioanalytical Chemistry. Springer, New York, NY, USA, 1-7, (2016).

This data layer includes key performance metrics collected by the City and partners tracking the progress towards the goals of the Internet for All Seattle Initiative. Internet for All Seattle Dashboards. The data points reflect activities in five categories: 1) Affordable Connectivity Program, 2) Internet Connectivity, 3) Devices, 4) Digital Skills & Technical Support, and 5) Outreach & Assistance. The majority of the Internet for All Seattle Action Plan items and data fall under these five areas. Source data for Internet for All maps and dashboards.Updated quarterly. Last update: March 4, 2024. ATTRIBUTE NAME DEFINITION ADDITIONAL INFORMATION

Resource Organization or program providing metrics for this dashboard. Access for All Program - City of Seattle program to connect eligible organizations and locations in Seattle with free high speed internet service in partnership with Comcast, Astound Broadband, and Lumen. City of Seattle Facilities - City owned buildings, including Community Centers, City Hall, Seattle Center and others. Internet Essentials Program - Low-cost internet program provided by Comcast offering $9.95/month + tax for eligible households. Internet First Program - Low-cost internet program provided by Astound offering $50 Mbps Internet* to qualifying low-income households. Other Partners - Other organizations partnering with the City of Seattle. Seattle Housing Authority - An independent public corporation in the city of Seattle responsible for public housing for low-income, elderly, and disabled residents. Seattle IT Digital Equity - City of Seattle, Seattle Information Technology Department Digital Equity Program. Seattle IT Digital Navigator - Seattle IT grant program providing funding to community-based organizations to provide digital navigation services. Seattle IT Technology Matching Fund - City of Seattle grant program providing funding to community-based organizations to increase internet access and adoption. Seattle Public Library - The public library system serving the city of Seattle Seattle Public Schools - The public school district serving the city of Seattle. Simply Internet Program - Low-cost internet program provided by Astound offering for $9.95/month + tax for eligible households.

Location_Name Additional info about physical location.

Organization Nonprofit or community group funded by the City.

Project_Title Title of a project funded by the City.

Budget Budget value associated with a resource.

Date Date metrics were reported.

Award_Year Year a grant was awarded to a grantee.

Street_Address Address of physical location.

City City of physical location.

State State of physical location.

ZIP ZIP of physical location.

Council_District Council District resource is located in.

Longitude Longitude of physical location.

Latitude Latitude of physical location.

ISP An organization that provides services for accessing, using, or participating in the Internet.

Citywide_Y_N Is resource provided throughout City.

Devices_Distributed The number of devices that were provided to residents.

Devices_Distributed_Y_N Is there a value in Devices_Distributed field (used to create dashboards).

Devices_Loaned The number of devices that were loaned to residents for temporary use.

Devices_Loaned_Y_N Is there a value in Devices_Loaned field (used to create dashboards).

DSTS_TotalServed The number of residents served by digital skills training and technical support programs. DSTS refers to Digital Skills and Training Support

DSTS_TotalServed_Y_N Is there a value in DSTS_TotalServed field (used to create dashboards).

DSTS_Hours The number of hours of digital skills training and technical support provided.

DSTS_Hours_Y_N Is there a value in DSTS_Hours field (used to create dashboards).

IC_Hotspots_Sponsored Number of residents provided with hotspots or sponsored internet service. IC refers to Internet Connectivity

IC_Hotspots_Sponsored_Y_N Is there a value in IC_Hotspots_Sponsored field (used to create dashboards).

IC_PubWiFiConnections Number of Wi-Fi connections provided at public Wi-Fi sites.

IC_PubWiFiConnections_Y_N Is there a value in IC_PubWiFiConnections field (used to create dashboards).

IC_PubWiFiSites Number of sites providing public Wi-Fi.

IC_PubWiFiSites_Y_N Is there a value in IC_PubWiFiSites field (used to create dashboards).

IC_LowCostServices The number of residents enrolled in Low-cost internet programs offered by Comcast and Astound.

IC_LowCostServices_Y_N Is there a value in IC_LowCostServices field (used to create dashboards).

IC_Organizations Sites providing internet connectivity through their organization. Federal Subsidy Program Emergency Broadband Program (EBB) was a federal program to help low-income households afford broadband services and internet-connected devices during the pandemic. The program officially ended in early 2022 and was replaced by the Affordable Connectivity Program. The Affordable Connectivity Program (ACP) is a federal program to help low-income households afford broadband services and internet-connected devices during the pandemic. The Program provides a discount of up to $30 per month for broadband services for eligible consumers.

IC_Organizations_Y_N Is there a value in IC_Organizations field (used to create dashboards).

IC_FedSubsEBBACP Number of total households that participated in the EBB or ACP programs.

IC_FedSubsEBBACP_Y_N Is there a value in IC_FedSubsEBBACP field (used to create dashboards).

OA_InternetServReqs The number of requests from the public for information about internet service. These requests come to the City and are fulfilled by Seattle IT Digital Equity staff. OA refers to Outreach and Assistance

OA_InternetServReqs_Y_N Is there a value in OA_InternetServReqs field (used to create dashboards).

OA_LowInternetInfo The number of requests from the public for information about low-income internet service. These requests come to the City and are fulfilled by Seattle IT Digital Equity staff.

OA_LowInternetInfo_Y_N Is there a value in OA_LowInternetInfo field (used to create dashboards).

OA_LowInternetevent Number of residents provided with information about free or low-cost internet at outreach events. This outreach is conducted by Seattle IT Digital Equity staff.

OA_LowInternetevent_Y_N Is there a value in OA_LowInternetevent field (used to create dashboards)

This PDF lists the data sources used for the AK DOT CIDD dashboards.

There is no single, simple way to measure racial equity. Instead, researchers and governments pull from a range of different data sources to identify ways in which people might experience racial equity gaps – using ‘indicators’. With this knowledge, the Mayor's Office of Racial Equity (ORE) and the Office of the Chief Technology Officer (OCTO) developed the District’s first Racial Equity Dashboard. The dashboard serves as a key supportive action in the District’s goal of eliminating racial and ethnic inequities, as articulated in the recently launched Districtwide Racial Equity Action Plan (REAP), primarily Goal 2.1: “Identify and measure long-standing racial equity indicators in partnership with other agencies, community-based organizations (CBOs), and District residents.” The Dashboard is a comprehensive, multi-page, online platform providing timely, relevant, and accessible data on 42 racial equity indicators across 7 dimensions of life in the District. This tool will allow the public and District government staff to learn more about racial equity in the District and track our progress towards eliminating racial and ethnic equity gaps and improving outcomes for all District residents. To keep the Dashboard meaningful and relevant, ORE cannot include every known, valid indicator of racial equity – in effect, those included in this Dashboard are subject to change based on ongoing stakeholder input and continued data availability.

The Department of Health Care Services (DHCS) Long-Term Services and Supports (LTSS) Data Dashboard is an initiative of the Home and Community Based Services Spending Plan. The initiative's primary goal is to create a public-facing LTSS data dashboard to track demographic, utilization, quality, and cost data related to LTSS services. This dashboard will link statewide long-term care and home and community-based services (HCBS) data with the goal of increased transparency to make it possible for regulators, policymakers, and the public to be informed while the state continues to expand, enhance, and improve the quality of LTSS in all home, community, and congregate settings. The first iteration of the LTSS Dashboard was released in December 2022 as an Open Data Portal file with 40 measures pertaining to LTSS beneficiaries, which includes ten different demographics, plan-related dimensions, and dual stratification. The December 2023 Data Release includes 16 new measures on the Medi-Cal LTSS Dashboard and Open Data Portal (Select “View Underlying Data”); and additional measures and dimensions, including dual stratification, will be added to the Open Data Portal in 2024. Note: The LTSS Dashboard measures are based on certified eligible beneficiaries who were enrolled in Medi-Cal for one or more months during the reporting interval. Most of the DHCS LTSS dashboard measures report the annual number of certified eligible Medi-Cal beneficiaries who have used LTSS services within a year. Other departments may report on these programs differently. For example, the Department of Social Services (CDSS) reports monthly IHSS recipient/consumer counts. The California Department of Aging (CDA) reports monthly CBAS Medi-Cal participants. DHCS’ annual utilization / enrollment counts of IHSS and CBAS beneficiaries are larger than CDSS/CDA's monthly counts because of data source differences and new enrollment or program attrition over time. Monthly snap-shot measures (average monthly utilization) for IHSS and CBAS have been added to the LTSS Dashboard to align with CDSS and CDA monthly reporting. Refer to the LTSS-Dashboard (ca.gov) program page for: 1) a Fact Sheet with highlights from the initial data release including changes over time in use of Home and Community-Based Services as well as select demographic information; 2) the Measure Specifications document – that describes business rules and inclusion/exclusion criteria related to age groups, plan types, aid code, geographic, or other important program/waiver-specific eligibility criteria; and 3) User guide – that shows how to navigate the Open Data Portal data file with specific examples.

Source: Layers within the feature service have been generated from publicly available data sources including: Florida Dept. of Revenue (parcel data), OpenStreetMap (walking/biking networks), Census data (ACS, LODES jobs, household/population, and commuting statistics), Miami-Dade County (parks, bike facilities, urban development boundary, etc.), Miami-Dade Department of Transportation and Public Works (public transit ridership), the Southeast Florida Regional Planning Model (SERPM), and the National Land Cover Dataset (NLCD). The development of summarized indicators for reporting and visualizing data for analysis of Transit Oriented Communities in SMART Plan station areas and corridors is described in the TOC Tool Technical Guide.

Purpose: These layers are utilized for visualization of data summaries for the most recent time period addressed by the tool (2019). They are used in all Snapshot Dashboards to highlight different aspects of Transit Oriented Communities. Tables are generally used by dashboard widgets.

Contact Information: Charles Rudder (crudder@citiesthatwork.com)/ Alex Bell (abell@citiesthatwork.com)

This dataset supports the SWAMP Data Dashboard, a public-facing tool developed by the Surface Water Ambient Monitoring Program (SWAMP) to provide accessible, user-friendly access to water quality monitoring data across California. The dashboard and its associated datasets are designed to help the public, researchers, and decision-makers explore and download monitoring data collected from California’s surface waters.

This dataset includes five distinct resources:

• SWAMP Stations – Geospatial and descriptive information about SWAMP monitoring sites.
• Water Quality Results – Field and lab analysis results for chemical and physical parameters measured in water samples.
• Toxicity Summary Results – Summarized results from aquatic toxicity tests. Summary records are entries in the database that summarize the results from multiple replicate toxicity tests of the same sample water.
• Habitat Results – Data on physical habitat conditions typically collected alongside biological monitoring to provide context for interpreting water quality conditions. Includes scores for the California Stream Condition Index (CSCI) and Algal Stream Condition Index (ASCI).
• Tissue Summary Results – Annual summary statistics of contaminant concentrations in aquatic organism tissue samples. The data are derived from raw individual and composite tissue sample results.

These data are collected by SWAMP and its partners to support water quality assessments, identify trends, and inform water resource management. The SWAMP Data Dashboard provides interactive visualizations and filtering tools to explore this data by region, parameter, and more.

The SWAMP dataset is sourced from the California Environmental Data Exchange Network (CEDEN), which serves as the central repository for water quality data collected by various monitoring programs throughout the state. As such, there is some overlap between this dataset and the broader CEDEN datasets also published on the California Open Data Portal (see Related Resources). This SWAMP dataset represents a curated subset of CEDEN data, specifically tailored for use in the SWAMP Data Dashboard.

Access the SWAMP Data Dashboard: https://gispublic.waterboards.ca.gov/swamp-data/

*This dataset is provisional and subject to revision. It should not be used for regulatory purposes.

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

🇺🇸 미국 English This dataset contains counts of COVID-19 cases and deaths in North Carolina from March 2, 2020 to May 31, 2021. The data was extracted from NC Department of Health and Human Services' NC COVID-19 dashboard: Daily Cases and Deaths Metrics. This dataset is an archive - it is not being updated. Data Source: NCDHHS (2021). Daily Cases and Deaths Metrics (Version 1.3) [Data set]. https://covid19.ncdhhs.gov/dashboard/data-behind-dashboards

This Power BI dashboard shows the COVID-19 vaccination rate by key demographics including age groups, race and ethnicity, and sex for Tempe zip codes.Data Source: Maricopa County GIS Open Data weekly count of COVID-19 vaccinations. The data were reformatted from the source data to accommodate dashboard configuration. The Maricopa County Department of Public Health (MCDPH) releases the COVID-19 vaccination data for each zip code and city in Maricopa County at ~12:00 PM weekly on Wednesdays via the Maricopa County GIS Open Data website (https://data-maricopa.opendata.arcgis.com/). More information about the data is available on the Maricopa County COVID-19 Vaccine Data page (https://www.maricopa.gov/5671/Public-Vaccine-Data#dashboard). The dashboard’s values are refreshed at 3:00 PM weekly on Wednesdays. The most recent date included on the dashboard is available by hovering over the last point on the right-hand side of each chart. Please note that the times when the Maricopa County Department of Public Health (MCDPH) releases weekly data for COVID-19 vaccines may vary. If data are not released by the time of the scheduled dashboard refresh, the values may appear on the dashboard with the next data release, which may be one or more days after the last scheduled release.Dates: Updated data shows publishing dates which represents values from the previous calendar week (Sunday through Saturday). For more details on data reporting, please see the Maricopa County COVID-19 data reporting notes at https://www.maricopa.gov/5460/Coronavirus-Disease-2019.

This app uses the web map Tacoma Streets Initiative - Completed, Ongoing, and Planned. See its page for more about the map data.There are three data panes featuring pie charts in this dashboard. They use the external data sources below and are updated in real-time as those sources are updated:Funds RaisedMaintenanceCapital ProjectsThe dashboard also contains links to internal pop-ups and external pages to provide more insight. The following external sources are linked in the dashboard:Streets Initiative page on cityoftacoma.orgVideos from the City of Tacoma SI YouTube Playlist: Streets Initiative Promo, Preventative Maintenance, Overlay, Surface TreatmentStreets Initiative After-Action SurveyProposition 3 informationProposition A informationProject solicitation informationSmall Works Roster informationTacoma workforce development programsLEAP Training Program pageCapital Projects home pageCapital Improvement Plan (CIP) Web AppTacoma Open Data PortalCity of Tacoma WebsiteApp Owner:Natasha MillerAssociate Civil Engineer -- Asset Managementnmiller@cityoftacoma.org

During the COVID-19 pandemic, many public schools across the United States shifted from fully in-person learning to alternative learning modalities such as hybrid and fully remote learning. In this study, data from 14,688 unique school districts from August 2020 to June 2021 were collected to track changes in the proportion of schools offering fully in-person, hybrid and fully remote learning over time. These data were provided by Burbio, MCH Strategic Data, the American Enterprise Institute’s Return to Learn Tracker and individual state dashboards. Because the modalities reported by these sources were incomplete and occasionally misaligned, a model was needed to combine and deconflict these data to provide a more comprehensive description of modalities nationwide. A hidden Markov model (HMM) was used to infer the most likely learning modality for each district on a weekly basis. This method yielded higher spatiotemporal coverage than any individual data source and higher agreement with three of the four data sources than any other single source. The model output revealed that the percentage of districts offering fully in-person learning rose from 40.3% in September 2020 to 54.7% in June of 2021 with increases across 45 states and in both urban and rural districts. This type of probabilistic model can serve as a tool for fusion of incomplete and contradictory data sources in order to obtain more reliable data in support of public health surveillance and research efforts.

Source data of the visualizations in the Boerne water data dashboard. This includes source data for the charts.

Note that this dataset's resources may be re-uploads of where the original source data is which may be used by the dashboard instead of pulling from this dataset directly.

IntroductionPublic health is not only threatened by diseases, pandemics, or epidemics. It is also challenged by deficits in the communication of health information. The current COVID-19 pandemic demonstrates that impressively. One way to deliver scientific data such as epidemiological findings and forecasts on disease spread are dashboards. Considering the current relevance of dashboards for public risk and crisis communication, this systematic review examines the state of research on dashboards in the context of public health risks and diseases.MethodNine electronic databases where searched for peer-reviewed journal articles and conference proceedings. Included articles (n = 65) were screened and assessed by three independent reviewers. Through a methodological informed differentiation between descriptive studies and user studies, the review also assessed the quality of included user studies (n = 18) by use of the Mixed Methods Appraisal Tool (MMAT).Results65 articles were assessed in regards to the public health issues addressed by the respective dashboards, as well as the data sources, functions and information visualizations employed by the different dashboards. Furthermore, the literature review sheds light on public health challenges and objectives and analyzes the extent to which user needs play a role in the development and evaluation of a dashboard. Overall, the literature review shows that studies that do not only describe the construction of a specific dashboard, but also evaluate its content in terms of different risk communication models or constructs (e.g., risk perception or health literacy) are comparatively rare. Furthermore, while some of the studies evaluate usability and corresponding metrics from the perspective of potential users, many of the studies are limited to a purely functionalistic evaluation of the dashboard by the respective development teams.ConclusionThe results suggest that applied research on public health intervention tools like dashboards would gain in complexity through a theory-based integration of user-specific risk information needs.Systematic review registrationhttps://www.crd.york.ac.uk/prospero/display_record.php?RecordID=200178, identifier: CRD42020200178.

Bloomington's performance dashboard provides insight into city operations and progress towards departmental and City goals. The dashboard is updated nightly from dataset present in Bloomington's open data portal and from other internal data sources. Additional performance cards will be rolled out as new data sets come online.