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Raw data (sometimes colloquially called "sources" data or "eggy" data, the latter a reference to the data being "uncooked", that is, "unprocessed", like a raw egg) are the data input to processing. A distinction is made between data and information, to the effect that information is the end product of data processing. Raw data that has ...
In theory, primary sources may also be used. Reliance on primary sources can lead to interpretive clambs, analyses, or synthetic claims, which must be referenced to a specific source that makes the same claim or analysis. It is not proper to rely on original analysis of the primary-source material by Wikipedia editors.
Data analysis is the process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, informing conclusions, and supporting decision-making. [1] Data analysis has multiple facets and approaches, encompassing diverse techniques under a variety of names, and is used in different business, science ...
For example, a peer-reviewed science article including original findings may include a scatter plot of data points and a cross-sectional x-ray (primary material), but it may also include valuable secondary material, such as the research team's synthesis and interpretation of prior published studies reviewed in the discussion of the results or ...
In either qualitative or quantitative research, the researcher(s) may collect primary or secondary data. [42] Primary data is data collected specifically for the research, such as through interviews or questionnaires. Secondary data is data that already exists, such as census data, which can be re-used for the research. It is good ethical ...
Book reviews are often a mix of primary and secondary material: e.g., an analysis of some aspect of the book (secondary) plus the reviewer's rating or opinion about the book (primary). Simple plot summaries, synopses, other basic descriptions of a work's contents are generally primary sources. Again, "Primary" is not another way to spell "bad ...
Bibliometrics can be used for understanding the research hot topics, for example, in housing Bibliometrics, the results show that Keywords such as influencing factors of housing prices, supply and demand analysis, policy impact on housing prices, and regional city trends are commonly found in housing price research literature.
Tukey defined data analysis in 1961 as: "Procedures for analyzing data, techniques for interpreting the results of such procedures, ways of planning the gathering of data to make its analysis easier, more precise or more accurate, and all the machinery and results of (mathematical) statistics which apply to analyzing data."