This project focuses on developing a machine learning-driven system to classify hospital claims and treatment outcomes, offering a second opinion on healthcare costs and decision-making for insurance claims and treatment efficacy.Key Features and Tools:Machine Learning Algorithms: Leveraging Python (pandas, numpy, scikit-learn) for predictive modeling to assess claim validity and treatment outcomes.APIs Integration: Used Google Maps API to retrieve and map the locations of private hospitals in Malaysia.GIS Mapping Dashboard: Created a GIS-enabled dashboard in Microsoft Power BI to visualize private hospital distribution across Malaysia, aiding healthcare planning and analysis.Advanced Analytics Tools: Integrated Microsoft Excel, Python, and Google Collab for data processing and automation workflows.

Section and Beat Outline for Power BI maps

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.

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/

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

Riyadh Metro Stations Dataset

Dataset Overview

This dataset contains information about metro stations in Riyadh, Saudi Arabia. It includes details such as station names, types, ratings, and geographic coordinates. The dataset is valuable for transportation analysis, urban planning, and navigation applications.

Dataset Contents

The dataset consists of the following columns:

Potential Use Cases

• Urban Mobility Analysis: Study metro station distribution and accessibility.
• Transportation Planning: Analyze station usage based on ratings and reviews.
• Navigation & Mapping: Enhance public transit applications with station locations.
• Service Optimization: Identify areas needing better metro services.

How to Use

1. Load the dataset into a data analysis tool like Python (pandas), R, or Excel.
2. Filter or group data based on ratings, locations, or number of reviews.
3. Use visualization tools like matplotlib, seaborn, or Power BI for insights.
4. Integrate with GIS software for geospatial mapping.

License & Acknowledgments

• Data sourced from publicly available platforms.
• This dataset is open for non-commercial research and analysis purposes.
• Proper attribution is required when using this dataset in research or publications.

Contact Information

For questions or collaboration, reach out via Kaggle comments or email.

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

Contracts Central is a contract administration tool that allows authorized users to monitor and report on the contract's life, from project planning to procurement to close and evaluation. Public Works Administration will monitor each division's overall status of contracts using the Power BI Contracts Dashboard. The department’s designated administrative staff will email the Contract Administrator or designee directly from the Contracts Dashboard for those contracts shown as expiring within three months.

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

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

This hosted feature layer has been developed in-house by the VDOT CO TED Highway Safety section for crash analysis purpose based on updates from the Power BI Crash Tool. The Crash Data Dictionary can be found here. The main source of the data is owned and maintained by DMV. In providing this web map, we assume no responsibility for the accuracy and completeness of the data. In the process of recording and compiling the data, some deletions and/or omissions of data may occur and VDOT is not responsible for any such occurrences.

The main source of the data is owned and maintained by DMV. In providing this tool, VDOT assumes no responsibility for the accuracy and completeness of the data. In the process of recording and compiling the data, some deletions and/or omissions of data may occur and VDOT is not responsible for any such occurrences. The most recent data contained in this report is preliminary and subject to change. Please be advised that, under Title 23 United State Code – Section 409, this crash information cannot be used in discovery or as evidence in a Federal or State court proceeding or considered for other purposes in any action for damages against VDOT or the State of Virginia arising from any occurrence at the location identified.

All users shall comply with and be subject to all applicable laws and regulations, whether federal or state, in connection with any of the receipt and use of DMV data including, but not limited to, (1) the Federal Drivers Privacy Protection Act (18 U.S.C. § 2721 et seq.), (2) the Government Data Collection and Dissemination Practices Act (Va. Code § 2.2-3800 et seq.), (3) the Virginia Computer Crimes Act (Va. Code § 18.2-152.1 et seq.), (4) the provisions of Va. Code §§ 46.2-208 and 58.1-3, and (5) any successor rules, regulations, or guidelines adopted by DMV with regard to disclosure or dissemination of any information obtained from DMV records or files.

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 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

A data dashboard in the form of a document link to Microsoft Power BI Dashboard of the same name, prepared and maintained by the Department of Economic Prosperity and Housing. Data is updated quarterly.NOTE: This product and the information shown is provided "AS IS" and exists for informational purposes only. The City of Vancouver (COV) makes no warranties regarding the accuracy of such data. This product and information is not prepared, nor is suitable, for legal, engineering, or surveying purposes. Any sale, reproduction or distribution of this information, or products derived therefrom, in any format is expressly prohibited. Data are provided by multiple sources and subject to change without notice.