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Main features of empirical graphs: Order (number of nodes), size (number of edges), and edge density (ratio between the size and the graph maximum size).
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Methodology assessment of statistical capacity (scale 0 - 100) in Ethiopia was reported at 30 in 2020, according to the World Bank collection of development indicators, compiled from officially recognized sources. Ethiopia - Methodology assessment of statistical capacity (scale 0 - 100) - actual values, historical data, forecasts and projections were sourced from the World Bank on March of 2025.
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Abstract This dataset was derived by the Bioregional Assessment Programme from 'Mean climate variables for all subregions' and 'fPAR derived from MODIS for BA subregions'. You can find a link to the …Show full descriptionAbstract This dataset was derived by the Bioregional Assessment Programme from 'Mean climate variables for all subregions' and 'fPAR derived from MODIS for BA subregions'. You can find a link to the parent datasets in the Lineage Field in this metadata statement. The History Field in this metadata statement describes how this dataset was derived. These are charts of climate statistics and MODIS data for each BA subregion. There are six 600dpi PNG files per subregion, with the naming convention BA-[regioncode]-[subregioncode]-[chartname].png. The charts, according to their filename, are: rain (time-series of rainfall; Figure 1), P-PET (average monthly precipitation and potential evapotranspiration; Figure 2), 5line (assorted monthly statistics; Figure 3), trend (monthly long-term trends; Figure 4) and fPAR (fraction of photosynthetically available radiation - an indication of biomass; Figure 5). Purpose These charts were generated to be included in the Contextual Report (geography) for each subregion. Dataset History These charts were generated using MatPlotLib 1.3.0 in Python 2.7.5 (Anaconda distribution v1.7.0 32-bit). The script for generating these plots is BA-ClimateCharts.py, and is packaged with the dataset. This script is a data collection and chart drawing script, it does not do any analysis. The data are charted as they appear in the parent datasets (see Lineage). A word document (BA-ClimateGraphs-ReadMe) is also included. This document includes examples of, and approved captions for, each chart. Dataset Citation Bioregional Assessment Programme (XXXX) Charts of climate statistics and MODIS data for all subregions 2014. Bioregional Assessment Derived Dataset. Viewed 06 May 2016, http://data.bioregionalassessments.gov.au/dataset/92a6b1ab-037d-4f0c-8117-937c1673e274. Dataset Ancestors Derived From Mean climate variables for all subregions Derived From BILO Gridded Climate Data: Daily Climate Data for each year from 1900 to 2012. Derived From fPar derived from MODIS for BA subregions
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Graph and download economic data for Economic Conditions Index for Virginia Beach-Norfolk-Newport News, VA-NC (MSA) (DISCONTINUED) (NFKAGRIDX) from Feb 1990 to Dec 2019 about Virginia Beach, academic data, VA, NC, indexes, and USA.
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Covers the latest trends in the UK's health and contains commentary on the latest health findings, topical articles illustrated with colour charts and diagrams, and regularly updated statistical graphs and tables. Source agency: Office for National Statistics Designation: National Statistics Language: English Alternative title: HSQ
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Statistics illustrates consumption, production, prices, and trade of Maps and hydrographic or similar charts; printed in book form, including atlases, topographical plans and similar articles in China from 2007 to 2024.
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Transparency in data visualization is an essential ingredient for scientific communication. The traditional approach of visualizing continuous quantitative data solely in the form of summary statistics (i.e., measures of central tendency and dispersion) has repeatedly been criticized for not revealing the underlying raw data distribution. Remarkably, however, systematic and easy-to-use solutions for raw data visualization using the most commonly reported statistical software package for data analysis, IBM SPSS Statistics, are missing. Here, a comprehensive collection of more than 100 SPSS syntax files and an SPSS dataset template is presented and made freely available that allow the creation of transparent graphs for one-sample designs, for one- and two-factorial between-subject designs, for selected one- and two-factorial within-subject designs as well as for selected two-factorial mixed designs and, with some creativity, even beyond (e.g., three-factorial mixed-designs). Depending on graph type (e.g., pure dot plot, box plot, and line plot), raw data can be displayed along with standard measures of central tendency (arithmetic mean and median) and dispersion (95% CI and SD). The free-to-use syntax can also be modified to match with individual needs. A variety of example applications of syntax are illustrated in a tutorial-like fashion along with fictitious datasets accompanying this contribution. The syntax collection is hoped to provide researchers, students, teachers, and others working with SPSS a valuable tool to move towards more transparency in data visualization.
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Methodology assessment of statistical capacity (scale 0 - 100) in Malawi was reported at 60 in 2020, according to the World Bank collection of development indicators, compiled from officially recognized sources. Malawi - Methodology assessment of statistical capacity (scale 0 - 100) - actual values, historical data, forecasts and projections were sourced from the World Bank on March of 2025.
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United States - Income payments: Statistical differences, International Transactions Accounts vs. NIPAs was 0.00000 Bil. of $ in January of 2023, according to the United States Federal Reserve. Historically, United States - Income payments: Statistical differences, International Transactions Accounts vs. NIPAs reached a record high of 0.01400 in January of 2015 and a record low of -0.36200 in January of 1991. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Income payments: Statistical differences, International Transactions Accounts vs. NIPAs - last updated from the United States Federal Reserve on March of 2025.
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Graph and download economic data for Unemployed Persons in San Antonio-New Braunfels, TX (MSA) (LAUMT484170000000004) from Jan 1990 to Jan 2025 about San Antonio, household survey, TX, unemployment, persons, and USA.
This data set supplies the results from fitting 200 different models specified within the FitFun modelling framework to each of 10,150 flow-occupancy empirical fundamental diagrams of road traffic. Information on the model specifications and the fitting methods can be found in the related publication (see below). The model fits were performed using the FitFun software (v1.0) which is publicly available for download from GitHub at https://github.com/danlegend5/FitFun. The empirical fundamental diagrams consist of measurements of traffic flow and occupancy from 10,150 loop detectors located in 25 different cities worldwide, and they are also available for download from Harvard Dataverse (https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/FSGDQM). This data set also provides relevant information on the empirical fundamental diagrams and the corresponding loop detectors.
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Statistics illustrates consumption, production, prices, and trade of Maps and hydrographic or similar charts; printed in book form, including atlases, topographical plans and similar in Burkina Faso from Jan 2019 to Feb 2025.
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U.S. Granted Utility Patents Originating in Non Metro/Micropolitan Statistical Areas in Washington was 30.00000 Number in January of 2015, according to the United States Federal Reserve. Historically, U.S. Granted Utility Patents Originating in Non Metro/Micropolitan Statistical Areas in Washington reached a record high of 45.00000 in January of 2013 and a record low of 17.00000 in January of 2000. Trading Economics provides the current actual value, an historical data chart and related indicators for U.S. Granted Utility Patents Originating in Non Metro/Micropolitan Statistical Areas in Washington - last updated from the United States Federal Reserve on March of 2025.
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Statistics illustrates consumption, production, prices, and trade of Maps and hydrographic or similar charts; printed in book form, including atlases, topographical plans and similar in Georgia from 2007 to 2024.
This layer contains the latest 14 months of unemployment statistics from the U.S. Bureau of Labor Statistics (BLS). The data is offered at the nationwide, state, and county geography levels. Puerto Rico is included. These are not seasonally adjusted values.The layer is updated monthly with the newest unemployment statistics available from BLS. There are attributes in the layer that specify which month is associated to each statistic. Most current month: November 2024 (preliminary values at the county level)The attributes included for each month are:Unemployment rate (%)Count of unemployed populationCount of employed population in the labor forceCount of people in the labor forceData obtained from the U.S. Bureau of Labor Statistics. Data downloaded: February 3, 2025Local Area Unemployment Statistics table download: https://www.bls.gov/lau/#tablesLocal Area Unemployment FTP downloads:State and CountyNationData Notes:This layer is updated automatically when the BLS releases their most current monthly statistics. The layer always contains the most recent estimates. It is updated within days of the BLS's county release schedule. BLS releases their county statistics roughly 2 months after-the-fact. The data is joined to 2021 TIGER boundaries from the U.S. Census Bureau.Monthly values are subject to revision over time.For national values, employed plus unemployed may not sum to total labor force due to rounding.As of the January 2022 estimates released on March 18th, 2022, BLS is reporting new data for the two new census areas in Alaska - Copper River and Chugach - and historical data for the previous census area - Valdez Cordova.To better understand the different labor force statistics included in this map, see the diagram below from BLS:
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Statistics illustrates consumption, production, prices, and trade of Maps and hydrographic or similar charts; printed in book form, including atlases, topographical plans and similar in Jamaica from 2007 to 2024.
In 2023, nearly 22 percent of the population of the United States used cannabis within the past year. The graph shows the percentage of the population in the U.S. who consumed cannabis in the past year from 2002 to 2023.
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Methodology assessment of statistical capacity (scale 0 - 100) in Zimbabwe was reported at 40 in 2020, according to the World Bank collection of development indicators, compiled from officially recognized sources. Zimbabwe - Methodology assessment of statistical capacity (scale 0 - 100) - actual values, historical data, forecasts and projections were sourced from the World Bank on March of 2025.
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Bureau of Labor Statistics Industrialized Countries - Import Price Index by Origin (NAICS): Other General Purpose Machinery Manufacturing for Industrialized Countries was 102.10000 Index 2010=100 in February of 2022, according to the United States Federal Reserve. Historically, Bureau of Labor Statistics Industrialized Countries - Import Price Index by Origin (NAICS): Other General Purpose Machinery Manufacturing for Industrialized Countries reached a record high of 102.10000 in February of 2022 and a record low of 96.30000 in April of 2016. Trading Economics provides the current actual value, an historical data chart and related indicators for Bureau of Labor Statistics Industrialized Countries - Import Price Index by Origin (NAICS): Other General Purpose Machinery Manufacturing for Industrialized Countries - last updated from the United States Federal Reserve on February of 2025.
This graph shows the distribution of sports coverage on local network affiliates and ESPN SportsCenter in the United States in 2014, by sport. In 2014, 5.5 percent of the sports coverage on local network affiliates and ESPN SportsCenter was on men's hockey.
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Main features of empirical graphs: Order (number of nodes), size (number of edges), and edge density (ratio between the size and the graph maximum size).