Section and Beat Outline for Power BI maps

The link provides access to publicly available Broward County datasets.

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.

Socio-economic dashboard depicting Employment and Job Creation. Unemployment Rate (Province, Year, Qtr, Rate [percentage])Unemployment Rate by population group (Province, Year, Population Group, Rate [percentage])Unemployment Rate by gender (Province, Year, gender, Rate [percentage])Youth Unemployment Rate (Province, Year, Age cohorts, Rate [percentage])% Employment in formal and informal sectors (Province, Year, Sectors incl Agriculture, Sectors excl Agriculture, Private Households (domestic work), Rate [percentage])Labour particpation Rate (Province, Year, labour particpation Rate [percentage])Publication Date13 March 2022LineageData is sourced from Stats SA Quarterly Labour Force Surveys. Data is transformed into a BI format and quality assured. Data is consumed by a dashboard created in Power BI. Six reports exist for this dashboard:Unemployment RateUnemployment Rate by population groupUnemployment Rate by genderYouth Unemployment Rate % Employment in formal and informal sectorsLabour particpation RateData SourceData from Stats SA; Labour force surveys and Quarterly Labour Force Surveys 2017 – 2021Dynamic dashboard reflecting the Outcome Indicator Release - Outcome Indicator: Unemployment rateUnemployment rate by population in WCUnemployment rate by gender in WCYouth unemployment ratePercentage of employed people working in the informal sector, including domestic work in WCLabour participation rate

The San Bernardino County CAASPP & ELPAC Report provides an overview of the county's performance. This interactive tool has seven reports that can be viewed by district, student group and grade level. In order to protect student confidentiality, no scores are reported (or included in the research files) for any group of 10 or fewer students.

Source: California Department of Education, CAASPP Research Files, https://caaspp-elpac.ets.org/caaspp/

Data is sourced from various health resources. Data is transformed into a BI format and quality assured. Data is consumed by a dashboard created in Power BI. Four reports exist for this dashboard:1. HIV Prevalence and TB Success RateHIV prevalence amongst women attending antenatal clinics in the Western Cape (2012-2015) by district and yearHIV prevalence amongst women attending antenatal clinics in the province (2012-2015) by province and yearTB Programme Success Rate (2013/14-2018/19) by TB Measure2. Births and Maternal MortalitiesNeonatal in facility (0-28 days) mortality rate (2015/16-2018/19); by years and neonatal death rate in facility and mortality rate by 1,000 live births Facility maternal mortality rate (2002, 2005, 2008, 2011, 2014); by triennia (3 years) deaths by 1,000 live births in WC (incl count of maternal deaths, count of live births, and infant maternal mortality ration)(Child (under 5) and Infant (under 1) mortality rate (2011, 2012, 2013); filter years, Infant/Child age band; Years, District, Births and Deaths by age bandDelivery rate in facility to women under 20 years (2013/14-2018/19); filter by financial year (FY); delivery rate by FY, delivery rate, numerator (births to women <20), denominator (total births)3. Deaths and Life ExpectancyLeading underlying causes of death in the Western Cape (2012-2016) by years and cause of deathYears of life lost (YLL) by cause of death in the WC (2012-2016) by years and YLL cause of deathAverage Life Expectency (LE) at birth (2006, 2011, 2016) by year, province, and gender4. Travel time to facilitiesTravel time taken to health facility by households with expenditure less than R1200-SA (2013-2018); by year, province, and travel time to health facilityTravel time taken to health facility by households with expenditure less than R1200-WC (2013-2018); by year, province, population group, and travel time to health facilityPublication Date2 September 2021LineageData from various sources transformed to a BI format and used to develop dynamic Power BI dashboards reflecting Outcome Indicators: HIV prevalence amongst women attending antenatal clinics in the provinceAll DS-TB (drug-susceptible tuberculosis) client treatment success rateNeonatal in facility (0-28 days) mortality rateFacility maternal mortality rateDelivery rate in facility to women under 20 yearsLife Expectancy (LE)Leading underlying causes of death in the Western CapeTravel time taken to health facility by households with expenditure less than R1200 (SA and WC)Data Source2019 National Antenatal Sentinel HIV Survey, National Department of Health 2021;Annual report 2014/15-2020/21, DOH;District Health Information Systems;Mid-year population estimates, Stats SA; Life Expectancy Stats SA calculations;Mortality and Causes of Death in South Africa 2018, June 2021, Stats SA

Market Overview: The global geospatial solutions market is projected to reach a valuation of $438.15 billion by 2033, growing at a robust CAGR of 14.6% from 2025 to 2033. This growth is driven by increasing urbanization, rising demand for real-time location-based services, advancements in sensor technologies, and government initiatives promoting smart infrastructure. The market is segmented based on technology (GIS/Geospatial Analytics, Remote Sensing, GPS, 3D Scanning), component (Hardware, Software, Services), application (Surveying & Mapping, Geovisualization, Planning & Analysis, Land Management), end use (Utility, Business, Transportation, Defense & Intelligence, Infrastructure Development, Natural Resources), and region. Key Trends and Challenges: The adoption of cloud-based geospatial solutions is a major trend, enabling cost-effective access to data and services. Artificial intelligence (AI) and machine learning (ML) are also gaining prominence, enhancing data analysis and decision-making. However, challenges include data interoperability, data security concerns, and the need for skilled professionals. The market is fragmented, with established vendors such as Microsoft, Google, and Trimble coexisting with innovative startups. Government initiatives and partnerships with private companies are expected to foster market growth. Key regions include North America, Europe, and Asia Pacific, with emerging markets in Latin America and the Middle East offering significant growth potential. Recent developments include: In July 2024, Esri collaborated with Microsoft Corporation to integrate its spatial analytics technology with Fabric, Microsoft's unified analytics SaaS platform. Data experts, including analysts, data scientists, engineers, and executives, could seamlessly use Esri's advanced spatial analytics tools and visualizations within Microsoft Fabric through this integration. This collaboration enabled powerful spatial analytics to be easily shared across organizational tools such as Microsoft Fabric, Power BI, and Esri's ArcGIS environment. , In February 2024, GE Vernova announced the release of Proficy for Sustainability Insights, a new AI-based software solution aimed at helping manufacturers achieve sustainability goals while maximizing productivity and profitability. The software integrates operational and sustainability data, enabling industrial companies to use resources more efficiently and manage climate metrics required for regulatory compliance across plants or enterprises. .

High-precision polygonal and centroid-based geographic representations of all U.S. postal ZIP Codes for mapping, analytics, and data enrichment. Built from USPS carrier route data with quarterly updates. Includes boundary polygons (~41,000 deliverable ZIP Codes) and centroids (~33,000 total ZIP Codes including PO Box and Unique types). Features continuous nationwide coverage with filler ZIPs, delivery statistics (residential, multifamily, single-family, business counts), and support for 8 file formats: Shapefile, GeoJSON, SQL Server, MySQL, PostgreSQL, WKT, CSV, and KML. WGS84 coordinate system with 6 decimal precision. Compatible with all major GIS platforms including ArcGIS, QGIS, MapInfo, Tableau, Power BI, and web mapping libraries. All purchases include quarterly updates, unlimited downloads, FTP access, and free technical support.

This point layer represents the water quality stations located throughout the San Antonio River Basin. The San Antonio River Authority's environmental science departments monitors and collects surface water samples at these locations. Samples are processed immediately at our in-house Texas Commission on Environmental Quality (TCEQ) accredited Lab. This layer was created to share externally through the SA River Authority Open Data Portal. It is also made visible through our Water Quality Viewer, Power BI embedded dashboard. This data is subject to change. Last updated on 3/22/2021.Here are the fields available in this layer: station_idsubwatershed_namesara_short_descounty_namesegement_idlatitudelongitudewaterbody_namewatershed_namestation_type

The Michigan Clean Sweep Program helps protect the state's natural resources and prevent agriculture pollution by ensuring the safe and proper disposal of outdated, unused, or unwanted pesticides in Michigan.Clean Sweep is made possible by a strong and unique state, federal, local, and industry partnership. There have been a number of Clean Sweep sites established around the state to accept your unused or expired pesticide products. The schedule of collections will vary from county to county. It is best to contact the Clean Sweep site nearest to you for details of their operations.Participating Clean Sweep sites will accept pesticide product, free of charge, from any Michigan resident. They are not, however, required to handle other types of household hazardous waste from residents outside of their respective counties.Since 1996, more than 3.9 million pounds (1,950 tons) of pesticides have been removed from circulation and properly disposed of via permanent collection sites.Agribusiness, Greenhouses, NurseriesIf you have expired pesticide product in need of disposal, now is the time to take care of it! Don't let it accumulate. Pesticide dealers and individuals who sell and/or apply pesticides may also dispose of unused or unwanted pesticides. Arrangements, however, must be made with a Clean Sweep site prior to collection and it is up to the Clean Sweep site manager's discretion as to their procedure for accepting your products. At a minimum, the agribusiness is responsible for cataloguing the products for disposal - including name of the product, EPA Registration Number, and weight (tare weight should be separated). Collections are for pesticides only. No fertilizers will be accepted as part of Clean Sweep unless they are part of a pesticide formulation.If you have questions about the Clean Sweep Program, please feel free to call Tom Lawrence at 1-989-239-0229 or email LawrenceT9@Michigan.gov.MDARD makes every attempt to ensure data accuracy but cannot guarantee the completeness or accuracy of the information contained within this dataset. For content related questions or to submit feedback, reach out to MDARD-GIS@Michigan.gov.

Link to the City of O'Fallon's Power BI Budget Report. This is not a live report - data is generally at least one business day behind actual.

This dataset is of 2017 properties. It is used for the City's Power BI training.

Section and Beat Outline for Power BI maps

This data layer is a draft of selected species ranges from ECOS. The layer has to be made public to test for integration into a Power BI dashboard. Please do not use for any other purposes. Most current geospatial data including area of influence, current and historical ranges, data are available through the Threatened and Endangered Species System (TESS) here. https://ecos.fws.gov/tess/speciesModule/home.doOther information may be found on the FWS Endangered Species web page here https://www.fws.gov/program/endangered-species

The Dashboard contains the following information:CPI (Consumer Price Index) Inflation Rate (Region, Year, Month, Topic (product))PPI (Production Price Index) Inflation Rate (Region, Year, Month, Topic (product))CPI & PPI Monthly Rate (Region, Year, Topic (product))Data from DEDAT Annual Report using IHS data.Dynamic dashboard reflecting the Outcome Indicator Release - Outcome Indicator: Real regional GDP growth rate per provinceThe total GDP of the Western Cape in RandsThe percentage contribution of provincial GDP to the country's GDPPercentage contribution of each industry to total GDPR of the Western CapePublication Date10 October 2022LineageData is sourced from DEDAT reports using IHS data. Data is transformed into a BI format and quality assured. Data is consumed by a dashboard created in Power BI. Four reports exist for this dashboard:1. Real regional GDP growth rate per province2. The total GDP of the Western Cape in Rands3. The percentage contribution of provincial GDP to the country's GDP4. Percentage contribution of each industry to total GDPR of the Western CapeData Sources:DEDAT Annual Report (using IHS Data)Lineage:Data is sourced from DEDAT reports using IHS data. Data is transformed into a BI format and quality assured. Data is consumed by a dashboard created in Power BI. Four reports exist for this dashboard:Real regional GDP growth rate per provinceThe total GDP of the Western Cape in RandsThe percentage contribution of provincial GDP to the country's GDPPercentage contribution of each industry to total GDPR of the Western Cap

The River Authority Water Quality Viewer is a tabbed web mapping application. The following tabs are defined below: The first tab - Water Quality – is an embedded interactive Power BI dashboard. It displays monitoring efforts for the Texas Commission on Environmental Quality’s (TCEQ) Clean Rivers Program and summarizes how the water quality in the San Antonio River Basin compares to the Texas Surface Water Quality Standards (TSWQS) using the latest TCEQ Integrated Report assessment. Through the Texas Clean Rivers Program, The River Authority and its partners collect surface water, stormwater and sediment chemistry, physical, and biological data within the San Antonio River Basin. The second tab – Primary Contact Recreation Use –summarizes assessment outcomes for the San Antonio River Watershed as identified in the Texas Commission on Environmental Quality (TCEQ) 2018, 2016, 2014, and 2012 Integrated Report (IR). It displays the Primary Contact Recreation Use Designations by color.The third tab – Aquatic Life Use – summarizes assessment outcomes for the San Antonio River Watershed as identified in the Texas Commission on Environmental Quality (TCEQ) 2018, 2016, 2014, and 2012 Integrated Report (IR). This Web Map displays the Aquatic Life Use Designations. It is the dependent of the SARA Water Quality Viewer and uses the Aquatic Life Use Web Map.The fourth tab – General Use – summarizes assessment outcomes for the San Antonio River Watershed as identified in the Texas Commission on Environmental Quality (TCEQ) 2016, 2014, and 2012 Integrated Report (IR). It displays the General Use Designations. It is the dependent of the SARA Water Quality Viewer and uses the General Use Web Map.The fifth tab – Fish Consumption Use – summarizes assessment outcomes for the San Antonio River Watershed as identified in the Texas Commission on Environmental Quality (TCEQ) 2016, 2014, and 2012 Integrated Report (IR). This Web Map displays the Fish Consumption Use Designations. It is the dependent of the Fish Consumption Use Tab and the SARA Water Quality Viewer. Please do not delete or modify The River Authority GISESD

Power BI Dataflow: rs_lginform_metricsLG Inform is the local area benchmarking tool from the Local Government Association LG Inform Plus makes available a large number of metrics about a wide range of areas from different data sources in one place accessible through an API.This dataflow contains the metric values for metric types within the WMCA Types of interest view of LG Inform Plus Metric Types, covering areas of interest at a regional comparison level (regions and local authorities in England) and at MSOA, LSOA and Ward level within the West Midlands metropolitan area.It contains the associated dimensional tables for metric types, datasets, collections and sources that have been queried at source from LG Inform Plus API web services at https://home.esd.org.uk/.The Dataflow is manually refreshed upon new data metrics available. Last refresh 04/10/2023

Dit is een Power BI rapportage gemaakt door team Monitoring.