Analysis of ‘Where Are the Unbanked and Underbanked in New York City’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/e3a78dcc-c40c-480b-8c6b-9c271bc8dab1 on 13 February 2022.

--- Dataset description provided by original source is as follows ---

This dataset was compiled from a financial security study conducted in 2013 by Department of Consumer and Worker Protection's Office of Financial Empowerment, in partnership with The Urban Institute. The dataset is published on the DCWP website and used for a web-based data visualization tool. More information about the data, the study, and the online web-application can be found on the DCWP website: https://www1.nyc.gov/assets/dca/CitywideFinancialServicesStudy/index.html

Source: Ratcliffe, Caroline, Signe-Mary McKernan, Emma Kalish, and Steven Martin. 2015. “Where are the Unbanked and Underbanked in New York City?” Washington, DC: Urban Institute.

--- Original source retains full ownership of the source dataset ---

This dataset was compiled from a financial security study conducted in 2013 by Department of Consumer and Worker Protection's Office of Financial Empowerment, in partnership with The Urban Institute. The dataset is published on the DCWP website and used for a web-based data visualization tool. More information about the data, the study, and the online web-application can be found on the DCWP website: https://www1.nyc.gov/assets/dca/CitywideFinancialServicesStudy/index.html Source: Ratcliffe, Caroline, Signe-Mary McKernan, Emma Kalish, and Steven Martin. 2015. “Where are the Unbanked and Underbanked in New York City?” Washington, DC: Urban Institute.

The data contain records of defendants in federal criminal cases filed in United States District Court during fiscal year 2003. The data were constructed from the Executive Office for United States Attorneys (EOUSA) Central System file. According to the EOUSA, the United States attorneys conduct approximately 95 percent of the prosecutions handled by the Department of Justice. The Central System data contain variables from the original EOUSA files as well as additional analysis variables, or "SAF" variables, that denote subsets of the data. These SAF variables are related to statistics reported in the Compendium of Federal Justice Statistics. Variables containing identifying information (e.g., name, Social Security Number) were replaced with blanks, and the day portions of date fields were also sanitized in order to protect the identities of individuals. These data are part of a series designed by the Urban Institute (Washington, DC) and the Bureau of Justice Statistics. Data and documentation were prepared by the Urban Institute.

Abstract

National Sample Survey of Registered Nurses

Methodology

The National Sample Survey of Registered Nurses (NSSRN) Download makes data from the survey readily available to users in a one-stop download. The Survey has been conducted approximately every four years since 1977. For each survey year, HRSA has prepared two Public Use File databases in flat ASCII file format without delimiters. The 2008 data are also offerred in SAS and SPSS formats. Information likely to point to an individual in a sparsely-populated county has been withheld. General Public Use Files are State-based and provide information on nurses without identifying the County and Metropolitan Area in which they live or work. County Public Use Files provide most, but not all, the same information on the nurse from the General Public Use File, and also identifies the County and Metropolitan Areas in which the nurses live or work. NSSRN data are to be used for research purposes only and may not be used in any manner to identify individual respondents.

Usage

Use this tool to:

• Download data from both surveys in various formats, including ASCII and SAS formats
• Download National Sample Survey of Registered Nurses survey findings
• Download associated documentation for both surveys

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Argentina Consumer Price Index (CPI): Urban: Household Furnishings & Operations: Home Maintenance: Tools & Other Items data was reported at 127.930 4Q2013=100 in Sep 2014. This records an increase from the previous number of 126.120 4Q2013=100 for Aug 2014. Argentina Consumer Price Index (CPI): Urban: Household Furnishings & Operations: Home Maintenance: Tools & Other Items data is updated monthly, averaging 121.950 4Q2013=100 from Dec 2013 (Median) to Sep 2014, with 10 observations. The data reached an all-time high of 127.930 4Q2013=100 in Sep 2014 and a record low of 103.590 4Q2013=100 in Dec 2013. Argentina Consumer Price Index (CPI): Urban: Household Furnishings & Operations: Home Maintenance: Tools & Other Items data remains active status in CEIC and is reported by National Institute of Statistics and Censuses. The data is categorized under Global Database’s Argentina – Table AR.I007: Consumer Price Index: Urban: Q42013=100.

Population weighted centroids are a common tool for spatial analysis, particularly when more granular data is unavailable or researchers lack sophisticated geocoding tools. The ZIP Code Population Weighted Centroids allows researchers and analysts to estimate the center of population in a given geography rather than the geometric center. Data to estimate ZIP code centroids is extracted from administrative USPS address data. The population weighted centroids are based on the number of residential addresses in the component ZIP+4 (also sometimes referred to as 'ZIP9') locations for each ZIP code. The data is based on ZIP+4 centroids, not ZIP Code Tabulation Areas (ZCTAs).To learn more about administrative USPS address data, please visit: https://www.huduser.gov/portal/datasets/usps.htmlData Dictionary: DD_ZIP Code Population Weighted Centroids, for questions about the spatial attribution of this dataset, please reach out to us at GISHelpdesk@hud.gov. Date of Coverage: 12/2023

description: Resources for Advanced Data Analysis and VisualizationResearchers who have access to the latest analysis and visualization tools are able to use large amounts of complex data to find efficiencies in projects, designs, and resources. The Data Analysis and Assessment Center (DAAC) at ERDC's Information Technology Laboratory (ITL) provides visualization and analysis tools and support services to enable the analysis of an ever-increasing volume of data.Simplify Data Analysis and Visualization ResearchThe resources provided by the DAAC enable any user to conduct important data analysis and visualization that provides valuable insight into projects and designs and helps to find ways to save resources. The DAAC provides new tools like ezVIZ, and services such as the DAAC website, a rich resource of news about the DAAC, training materials, a community forum and tutorials on how to use data analysis and other issues.The DAAC can perform collaborative work when users prefer to do the work themselves but need help in choosing which visualization program and/or technique and using the visualization tools. The DAAC also carries out custom projects to produce high-quality animations of data, such as movies, which allow researchers to communicate their results to others.Communicate Research in ContextDAAC provides leading animation and modeling software which allows scientists and researchers may communicate all aspects of their research by setting their results in context through conceptual visualization and data analysis.Success StoriesWave Breaking and Associated Droplet and Bubble FormationWave breaking and associated droplet and bubble formation are among the most challenging problems in the field of free-surface hydrodynamics. The method of computational fluid dynamics (CFD) was used to solve this problem numerically for flow about naval vessels. The researchers wanted to animate the time-varying three-dimensional data sets using isosurfaces, but transferring the data back to the local site was a problem because the data sets were large. The DAAC visualization team solved the problem by using EnSight and ezVIZ to generate the isosurfaces, and photorealistic rendering software to produce the images for the animation.Explosive Structure Interaction Effects in Urban TerrainKnown as the Breaching Project, this research studied the effects of high-explosive (HE) charges on brick or reinforced concrete walls. The results of this research will enable the war fighter to breach a wall to enter a building where enemy forces are conducting operations against U.S. interests. Images produced show computed damaged caused by an HE charge on the outer and inner sides of a reinforced concrete wall. The ability to quickly and meaningfully analyze large simulation data sets helps guide further development of new HE package designs and better ways to deploy the HE packages. A large number of designs can be simulated and analyzed to find the best at breaching the wall. The project saves money in greatly reduced field test costs by testing only the designs which were identified in analysis as the best performers.SpecificationsAmethyst, the seven-node Linux visualization cluster housed at the DAAC, is supported by ParaView, EnSight, and ezViz visualization tools and configured as follows:Six computer nodes, each with the following specifications:CPU: 8 dual-core 2.4 Ghz, 64-bit AMD Opteron Processors (16 effective cores)Memory: 128-G RAMVideo: NVidia Quadro 5500 1-GB memoryNetwork: Infiniband Interconnect between nodes, and Gigabit Ethernet to Defense Research and Engineering Network (DREN)One storage node:Disk Space: 20-TB TerraGrid file system, mounted on all nodes as /viz and /work; abstract: Resources for Advanced Data Analysis and VisualizationResearchers who have access to the latest analysis and visualization tools are able to use large amounts of complex data to find efficiencies in projects, designs, and resources. The Data Analysis and Assessment Center (DAAC) at ERDC's Information Technology Laboratory (ITL) provides visualization and analysis tools and support services to enable the analysis of an ever-increasing volume of data.Simplify Data Analysis and Visualization ResearchThe resources provided by the DAAC enable any user to conduct important data analysis and visualization that provides valuable insight into projects and designs and helps to find ways to save resources. The DAAC provides new tools like ezVIZ, and services such as the DAAC website, a rich resource of news about the DAAC, training materials, a community forum and tutorials on how to use data analysis and other issues.The DAAC can perform collaborative work when users prefer to do the work themselves but need help in choosing which visualization program and/or technique and using the visualization tools. The DAAC also carries out custom projects to produce high-quality animations of data, such as movies, which allow researchers to communicate their results to others.Communicate Research in ContextDAAC provides leading animation and modeling software which allows scientists and researchers may communicate all aspects of their research by setting their results in context through conceptual visualization and data analysis.Success StoriesWave Breaking and Associated Droplet and Bubble FormationWave breaking and associated droplet and bubble formation are among the most challenging problems in the field of free-surface hydrodynamics. The method of computational fluid dynamics (CFD) was used to solve this problem numerically for flow about naval vessels. The researchers wanted to animate the time-varying three-dimensional data sets using isosurfaces, but transferring the data back to the local site was a problem because the data sets were large. The DAAC visualization team solved the problem by using EnSight and ezVIZ to generate the isosurfaces, and photorealistic rendering software to produce the images for the animation.Explosive Structure Interaction Effects in Urban TerrainKnown as the Breaching Project, this research studied the effects of high-explosive (HE) charges on brick or reinforced concrete walls. The results of this research will enable the war fighter to breach a wall to enter a building where enemy forces are conducting operations against U.S. interests. Images produced show computed damaged caused by an HE charge on the outer and inner sides of a reinforced concrete wall. The ability to quickly and meaningfully analyze large simulation data sets helps guide further development of new HE package designs and better ways to deploy the HE packages. A large number of designs can be simulated and analyzed to find the best at breaching the wall. The project saves money in greatly reduced field test costs by testing only the designs which were identified in analysis as the best performers.SpecificationsAmethyst, the seven-node Linux visualization cluster housed at the DAAC, is supported by ParaView, EnSight, and ezViz visualization tools and configured as follows:Six computer nodes, each with the following specifications:CPU: 8 dual-core 2.4 Ghz, 64-bit AMD Opteron Processors (16 effective cores)Memory: 128-G RAMVideo: NVidia Quadro 5500 1-GB memoryNetwork: Infiniband Interconnect between nodes, and Gigabit Ethernet to Defense Research and Engineering Network (DREN)One storage node:Disk Space: 20-TB TerraGrid file system, mounted on all nodes as /viz and /work

Sustainable Urban Mobility Boost Smart Toolbox Upgrade (SUMBooST2) is co-financed by EIT Urban Mobility, an initiative of the European Institute of Innovation and Technology, a body of the European Union. Project partners are University of Zagreb Faculty of Transport and Traffic Sciences, Ericsson Nikola Tesla, City of Rijeka and City of Dubrovnik, and the project was implemented in the period from 1st January 2021 to 31st December 2021. The aim of the project is to create a new methodological framework, i.e. a tool that combines traditional transport engineering with new possibilities of data science, applicable in the analysis and planning of the transport system. This methodology will enable stakeholders involved in planning and providing urban mobility services to use new data sources, tools and methods to effectively use real world data for sustainable urban mobility planning and to create new solutions to identified problems in the transport system. The key objective of the SUMBooST2 project is to contribute to the sustainability of the transport system and to encourage modal shift in favour of sustainable forms of traffic, i.e. reducing the use of passenger cars in urban areas. The main product of the project is a tool that will serve city traffic planners for fast and efficient problem detection and definition of sustainable transport solutions.
A set of data from the innovative SUMBooST2 method is available in the annex.

Argentina Consumer Price Index (CPI): Oct2013-Sep2014=100: Weights: Urban: Household Furnishings & Operations: Home Maintenance: Tools & Other Items data was reported at 0.970 % in 2014. Argentina Consumer Price Index (CPI): Oct2013-Sep2014=100: Weights: Urban: Household Furnishings & Operations: Home Maintenance: Tools & Other Items data is updated yearly, averaging 0.970 % from Dec 2014 (Median) to 2014, with 1 observations. The data reached an all-time high of 0.970 % in 2014 and a record low of 0.970 % in 2014. Argentina Consumer Price Index (CPI): Oct2013-Sep2014=100: Weights: Urban: Household Furnishings & Operations: Home Maintenance: Tools & Other Items data remains active status in CEIC and is reported by National Institute of Statistics and Censuses. The data is categorized under Global Database’s Argentina – Table AR.I006: Consumer Price Index: Urban: Oct2013-Sep2014=100: Weights.