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APA style (also known as APA format) is a writing style and format for academic documents such as scholarly journal articles and books. It is commonly used for citing sources within the field of behavioral and social sciences , including sociology, education, nursing, criminal justice, anthropology, and psychology.
An example of CSS code, which makes up the visual and styling components of a web page. Separation of content and presentation (or separation of content and style) is the separation of concerns design principle as applied to the authoring and presentation of content. Under this principle, visual and design aspects (presentation and style) are ...
Mondrian – data analysis tool using interactive statistical graphics with a link to R; Neurophysiological Biomarker Toolbox – Matlab toolbox for data-mining of neurophysiological biomarkers; OpenBUGS; OpenEpi – A web-based, open-source, operating-independent series of programs for use in epidemiology and statistics based on JavaScript and ...
Data are analyzed using techniques such as calculation, reasoning, discussion, presentation, visualization, or other forms of post-analysis. Prior to analysis, raw data (or unprocessed data) is typically cleaned: Outliers are removed, and obvious instrument or data entry errors are corrected.
Some websites offer facilities to share slide presentations online. SlideShare allows the user to share presentations publicly or privately. Slides can be uploaded in various ways, via email and through social media are the most common ways of sharing the slides. [9] AuthorSTREAM only allows the user to upload PowerPoint presentation slides. On ...
"The General Format of APA is most commonly used to cite sources within the social sciences. General guidelines for a paper in APA style includes: typed, double-spaced on standard-sized paper (8.5" x 11") with 1" margins on all sides. The font should be clear and highly readable. APA recommends using 12 pt. Times New Roman font."
Data mining is a particular data analysis technique that focuses on statistical modeling and knowledge discovery for predictive rather than purely descriptive purposes, while business intelligence covers data analysis that relies heavily on aggregation, focusing mainly on business information. [4]
Data science is "a concept to unify statistics, data analysis, informatics, and their related methods" to "understand and analyze actual phenomena" with data. [5] It uses techniques and theories drawn from many fields within the context of mathematics , statistics, computer science , information science , and domain knowledge . [ 6 ]