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For data requests that fall between the table's samples, an interpolation algorithm can generate reasonable approximations by averaging nearby samples." [8] In data analysis applications, such as image processing, a lookup table (LUT) can be used to transform the input data into a more desirable output format. For example, a grayscale picture ...
In order to retrieve the desired data the user presents a set of criteria by a query. Then the database management system selects the demanded data from the database. The retrieved data may be stored in a file, printed, or viewed on the screen. A query language, like for example Structured Query Language (SQL), is used to prepare the queries.
Data often are missing in research in economics, sociology, and political science because governments or private entities choose not to, or fail to, report critical statistics, [1] or because the information is not available. Sometimes missing values are caused by the researcher—for example, when data collection is done improperly or mistakes ...
If they are not cautious, researchers using data mining techniques can be easily misled by these results. The term p-hacking (in reference to p -values ) was coined in a 2014 paper by the three researchers behind the blog Data Colada , which has been focusing on uncovering such problems in social sciences research.
Up to 3.6 [80] Microsoft Excel 97–2003 XLS, XLW, XLT Spreadsheet Yes Yes Microsoft Excel 2007-2021 XLSX Spreadsheet Yes Yes Microsoft Excel Web Query File IQY Data sources, text From 5.4 [81] Microsoft Office 2007-2021 Office Open XML: DOCX, XLSX, PPTX Multiple formats Yes Yes Microsoft Pocket Excel PXL Spreadsheet Yes Yes Requires Java
Cherry picking, suppressing evidence, or the fallacy of incomplete evidence is the act of pointing to individual cases or data that seem to confirm a particular position while ignoring a significant portion of related and similar cases or data that may contradict that position. Cherry picking may be committed intentionally or unintentionally.