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TwitterFinancial overview and grant giving statistics of Logos Lodge Inc.
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TwitterHydrographic and Impairment Statistics (HIS) is a National Park Service (NPS) Water Resources Division (WRD) project established to track certain goals created in response to the Government Performance and Results Act of 1993 (GPRA). One water resources management goal established by the Department of the Interior under GRPA requires NPS to track the percent of its managed surface waters that are meeting Clean Water Act (CWA) water quality standards. This goal requires an accurate inventory that spatially quantifies the surface water hydrography that each bureau manages and a procedure to determine and track which waterbodies are or are not meeting water quality standards as outlined by Section 303(d) of the CWA. This project helps meet this DOI GRPA goal by inventorying and monitoring in a geographic information system for the NPS: (1) CWA 303(d) quality impaired waters and causes; and (2) hydrographic statistics based on the United States Geological Survey (USGS) National Hydrography Dataset (NHD). Hydrographic and 303(d) impairment statistics were evaluated based on a combination of 1:24,000 (NHD) and finer scale data (frequently provided by state GIS layers).
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Twitterhttps://www.mordorintelligence.com/privacy-policyhttps://www.mordorintelligence.com/privacy-policy
The US Smart TV Market Report is Segmented by Screen Size (Up To 45", 45-54", 55-64", 65-74", 75" & Above), Resolution Type (HDTV, Full HD, 4K UHD, 8K UHD), Panel Technology (LCD/LED, QLED, OLED, Mini-LED), Price Band (less Than USD 500, USD 500-999, and More), Operating System (Roku OS, Google/Android TV, and More), and Geography. The Market Forecasts are Provided in Terms of Volume (Units).
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Twitterhttps://bullfincher.io/privacy-policyhttps://bullfincher.io/privacy-policy
Tetra Tech, Inc. provides consulting and engineering services worldwide. The company operates through two segments Government Services Group (GSG) and Commercial/International Services Group (CIG). The GSG segment offers early data collection and monitoring, data analysis and information management, science and engineering applied research, engineering design, project management, and operations and maintenance services; and climate change and energy management consulting, as well as greenhouse gas inventory assessment, certification, reduction, and management services. This segment serves federal, state, and local governments, and development agencies in water resources analysis and water management, environmental monitoring, data analytics, government consulting, waste management, and a range of civil infrastructure master planning and engineering design markets. The CIG segment provides early data collection and monitoring, data analysis and information management, feasibility studies and assessments, science and engineering applied research, engineering design, project management, and operations and maintenance services. This segment serves natural resources, energy, and utilities markets, as well as sustainable infrastructure master planning and engineering design markets. Tetra Tech, Inc. was founded in 1966 and is headquartered in Pasadena, California.
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TwitterOld Navy was the most well-known fashion store in the U.S. in 2024. It was recognized by 92 percent of internet users in the United States. The second spot on this list is occupied by JCPenney with a brand awareness of 91 percent, followed by Macy's, and Kohl's, as they incorporate a brand awareness of 90 and 89 percent, respectively.For this study, brand awareness was surveyed employing the concept of aided brand recognition, showing respondents both the brand's logo and the written brand name. Interested in more detailed results covering all brands of this ranking and many more? Explore GCS Brand Profiles. These statistics show results of the Brand KPI survey.
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Twitterhttps://dataverse.harvard.edu/api/datasets/:persistentId/versions/1.0/customlicense?persistentId=doi:10.7910/DVN/RCHDXXhttps://dataverse.harvard.edu/api/datasets/:persistentId/versions/1.0/customlicense?persistentId=doi:10.7910/DVN/RCHDXX
This dataset contains replication files for "A Practical Method to Reduce Privacy Loss when Disclosing Statistics Based on Small Samples" by Raj Chetty and John Friedman. For more information, see https://opportunityinsights.org/paper/differential-privacy/. A summary of the related publication follows. Releasing statistics based on small samples – such as estimates of social mobility by Census tract, as in the Opportunity Atlas – is very valuable for policy but can potentially create privacy risks by unintentionally disclosing information about specific individuals. To mitigate such risks, we worked with researchers at the Harvard Privacy Tools Project and Census Bureau staff to develop practical methods of reducing the risks of privacy loss when releasing such data. This paper describes the methods that we developed, which can be applied to disclose any statistic of interest that is estimated using a sample with a small number of observations. We focus on the case where the dataset can be broken into many groups (“cells”) and one is interested in releasing statistics for one or more of these cells. Building on ideas from the differential privacy literature, we add noise to the statistic of interest in proportion to the statistic’s maximum observed sensitivity, defined as the maximum change in the statistic from adding or removing a single observation across all the cells in the data. Intuitively, our approach permits the release of statistics in arbitrarily small samples by adding sufficient noise to the estimates to protect privacy. Although our method does not offer a formal privacy guarantee, it generally outperforms widely used methods of disclosure limitation such as count-based cell suppression both in terms of privacy loss and statistical bias. We illustrate how the method can be implemented by discussing how it was used to release estimates of social mobility by Census tract in the Opportunity Atlas. We also provide a step-by-step guide and illustrative Stata code to implement our approach.
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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Detailed online statistics for player Gelatina Rosa from world Honbra. View daily activity and session history.
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TwitterMonthly data on federally administered Supplemental Security Income payments.
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TwitterEnterprise Rent-A-Car is the most famous car rental service in the United States, based on brand awareness. Owned by Enterprise Holdings, it is recognized by 84 percent of respondents in the U.S. Second on this list is another giant in the American car rental industry, Hertz, with a brand awareness of 78 percent. It is then followed by two companies from the Avis-Budget group, Budget and Avis, whereas another Enterprise Holdings owned brand Alamo claims fifth spot on this list.
For this study, brand awareness was surveyed employing the concept of aided brand recognition, showing respondents both the brand's logo and the written brand name.
Interested in more detailed results covering all brands of this ranking and many more? Explore GCS Brand Profiles. These statistics show results of the Brand KPI survey.
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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Detailed online statistics for player Ditmarzito in Lutabra from world Lutabra. View daily activity and session history.
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TwitterThis folder contains 3 .csv files which contain all the observations for the suite of major ion and nutrient constituents for the Heart River Basin. These files contain the water-quality observations for the statistical summary tables in the report cited in this data release (Tatge and others, 2021).The allsiteinfo.table.csv file can be used to cross reference the sites with the main report (Tatge and others, 2021). Tatge, W.S., Nustad, R.A., and Galloway, J.M., 2021, Evaluation of Salinity and Nutrient Conditions in the Heart River Basin, North Dakota, 1970-2020: U.S. Geological Survey Scientific Investigations Report 2021-XXXX, XX p.
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Twitterhttps://www.icpsr.umich.edu/web/ICPSR/studies/37302/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/37302/terms
Beginning in 2016, the Law Enforcement Management and Administrative Statistics (LEMAS) survey adopted a core and supplement structure. The LEMAS core has been conducted every 3 to 4 years since 1987 with approximately 3,200 local, county and state law enforcement agencies across the United States. Due to the breadth of the survey, detailed analysis of any specific law enforcement topic cannot be done with the LEMAS core. The LEMAS supplements are designed to fill this void by allowing for a more comprehensive examination on a key topic in law enforcement and are administered in between core years. The 2016 LEMAS Body-Worn Camera Supplement (LEMAS-BWCS) is the first supplement administered under the new structure.
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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BackgroundWe have previously identified four distinct groups of asthma patients in Korean cohorts using cluster analysis: (A) smoking asthma, (B) severe obstructive asthma, (C) early-onset atopic asthma, and (D) late-onset mild asthma.Methods and ResultsA longitudinal analysis of each cluster in a Korean adult asthma cohort was performed to investigate the clinical significance of asthma clusters over 12 months.Cluster A showed relatively high asthma control test (ACT) scores but relatively low FEV1 scores, despite a high percentage of systemic corticosteroid use. Cluster B had the lowest mean FEV1, ACT, and the quality of life questionnaire for adult Korean asthmatics (QLQAKA) scores throughout the year, even though the percentage of systemic corticosteroid use was the highest among the four clusters. Cluster C was ranked second in terms of FEV1, with the second lowest percentage of systemic corticosteroid use, and showed a marked improvement in subjective symptoms over time. Cluster D consistently showed the highest FEV1, the lowest systemic corticosteroid use, and had high ACT and QLQAKA scores.ConclusionOur asthma clusters had clinical significance with consistency among clusters over 12 months. These distinctive phenotypes may be useful in classifying asthma in real practice.
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Twitterhttps://datafinder.stats.govt.nz/license/attribution-4-0-international/https://datafinder.stats.govt.nz/license/attribution-4-0-international/
This dataset is the definitive set of statistical area 2 (SA2) boundaries for 2020 as defined by Stats NZ. This version contains 2,255 SA2 categories.
SA2s were introduced as part of the Statistical Standard for Geographic Areas 2018 (SSGA2018) which replaced the New Zealand Standard Areas Classification (NZSAC1992). The SA2 geography replaces the (NZSAC1992) area unit geography.
SA2 is an output geography that provides higher aggregations of population data than can be provided at the statistical area 1 (SA1) level. The SA2 geography aims to reflect communities that interact together socially and economically. In populated areas, SA2s generally contain similar sized populations.
SA2s are built from SA1s and either define or aggregate to define urban rural areas, territorial authorities, and regional councils. SA2s in city council areas generally have a population of 2,000–4,000 residents while SA2s in district council areas generally have a population of 1,000–3,000 residents. In rural areas, many SA2s have fewer than 1,000 residents because they are in conservation areas or contain sparse populations that cover a large area.
Names are provided with and without tohutō/macrons. The name field without macrons is suffixed ‘ascii’.
This generalised version has been simplified for rapid drawing and is designed for thematic or web mapping purposes.
Digital boundary data became freely available on 1 July 2007.
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TwitterComprehensive YouTube channel statistics for Tati, featuring 7,950,000 subscribers and 1,558,871,986 total views. This dataset includes detailed performance metrics such as subscriber growth, video views, engagement rates, and estimated revenue. The channel operates in the Lifestyle category and is based in US. Track 2,160 videos with daily and monthly performance data, including view counts, subscriber changes, and earnings estimates. Analyze growth trends, engagement patterns, and compare performance against similar channels in the same category.
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TwitterOpen Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
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Dataset from the bioscience and health technology sector database. The data relates to companies that are active in the UK in the life sciences sectors. These sectors are: Pre- 2015: medical technology medical biotechnology industrial biotechnology pharmaceutical 2015 onwards: medical technology bio-pharmaceuticals The latest report (2018) has been classified as an Official Statistic and is compliant with the Code of Practice for Statistics. 15 September 2021 We have identified several minor errors in the Bioscience and Health Technology Sector Statistics published on the 20 August 2020. Details of these errors (which have been corrected) are as follows. Section 2 – Sector overviews: Several sector breakdowns provide the number of ‘businesses’ in a segment but labelled these as the number of ‘sites’ in the original publication. These errors have been corrected on pages 11, 12 and 13. Section 4 – Digital health & genomics: Overall genomics related activity in the UK is located in 60 sites (previously quoted as 50 on pages 19 and 20). Life Sciences Infographic: The ‘Industry Characteristics’ section states that the top 25 Biopharmaceutical companies and top 30 Medical technology companies globally are responsible for 24% of employment and 37% or turnover in the UK Life Sciences sector. These were quoted as 22% or employment and 35% of turnover in the original publication. We have altered our quality assurance framework to prevent a recurrence of these errors in the future and apologise for any issues they have caused our users.
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Statistics on Malaysian Companies registered with MATRADE of Franchise Services No. of Views : 79
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TwitterComprehensive YouTube channel statistics for Essamyat عصاميات, featuring 832,000 subscribers and 174,006,755 total views. This dataset includes detailed performance metrics such as subscriber growth, video views, engagement rates, and estimated revenue. The channel operates in the Lifestyle category and is based in EG. Track 594 videos with daily and monthly performance data, including view counts, subscriber changes, and earnings estimates. Analyze growth trends, engagement patterns, and compare performance against similar channels in the same category.
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TwitterStatistics on visit permits for Taiwan residents processed provides relevant figures concerning visit permits for Taiwan residents processed
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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Avg Hourly Earnings: sa: CO: Water & Sewer System data was reported at 28.290 USD in May 2018. This records an increase from the previous number of 28.270 USD for Apr 2018. Avg Hourly Earnings: sa: CO: Water & Sewer System data is updated monthly, averaging 25.190 USD from Mar 2006 (Median) to May 2018, with 147 observations. The data reached an all-time high of 28.440 USD in Dec 2017 and a record low of 20.850 USD in Mar 2006. Avg Hourly Earnings: sa: CO: Water & Sewer System data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s USA – Table US.G033: Current Employment Statistics Survey: Average Weekly and Hourly Earnings: Seasonally Adjusted.
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TwitterFinancial overview and grant giving statistics of Logos Lodge Inc.