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Provides an RDF data set about scientific publications and related entities, such as authors, institutions, journals, and fields of study. The data set is based on the Microsoft Academic Graph. [103] [104] Free University of Freiburg: MyScienceWork: Science Database includes more than 70 million scientific publications and 12 million patents. Free
Scientific Data is a peer-reviewed open access scientific journal published by Nature Research since 2014. [1] It focuses on descriptions of data sets relevant to the natural sciences , medicine , engineering and social sciences , [ 2 ] which are provided as machine-readable data , complemented with a human oriented narrative.
These data sources include interview transcripts, videos of social interactions, notes, verbal reports [8] and artifacts such as books or works of art. The case study method exemplifies qualitative researchers' preference for depth, detail, and context. [11] [12] Data triangulation is also a strategy used in qualitative research. [13]
Statistics Indonesia (Indonesian: Badan Pusat Statistik, BPS, lit. 'Central Agency of Statistics'), is a non-departmental government institute of Indonesia that is responsible for conducting statistical surveys. Its main customer is the government, but statistical data is also available to the public.
Statistics (from German: Statistik, ... Exploratory data analysis (EDA) is an approach to analyzing data sets to summarize their main characteristics, ...
From January 2008 to December 2012, if you bought shares in companies when Robert A. Brown joined the board, and sold them when he left, you would have a 1.9 percent return on your investment, compared to a -2.8 percent return from the S&P 500.
A visual representation of the sampling process. In statistics, quality assurance, and survey methodology, sampling is the selection of a subset or a statistical sample (termed sample for short) of individuals from within a statistical population to estimate characteristics of the whole population.
Though computational statistics is widely used today, it actually has a relatively short history of acceptance in the statistics community. For the most part, the founders of the field of statistics relied on mathematics and asymptotic approximations in the development of computational statistical methodology.