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  2. Wikipedia:Google Books and Metadata Errors - Wikipedia

    en.wikipedia.org/wiki/Wikipedia:Google_Books_and...

    For some sources, especially those that are only available in Snippet View, it is difficult or impossible to verify that the data Google provides is accurate. When the source being consulted is actually a magazine or journal article that has been treated like a book, errors are far more likely. In these cases, Google Books can be a trap.

  3. Document comparison - Wikipedia

    en.wikipedia.org/wiki/Document_comparison

    Many document comparison solutions had difficulty comparing tables in document versions. These solutions first converted tables to text arrays and then compared the created arrays. In many cases, not enough due diligence on the software’s part was conducted; users would not be informed of sections that were not successfully compared.

  4. Google Docs - Wikipedia

    en.wikipedia.org/wiki/Google_Docs

    Google Docs is an online word processor and part of the free, web-based Google Docs Editors suite offered by Google. Google Docs is accessible via a web browser as a web-based application and is also available as a mobile app on Android and iOS and as a desktop application on Google's ChromeOS .

  5. Data editing - Wikipedia

    en.wikipedia.org/wiki/Data_editing

    Data editing is defined as the process involving the review and adjustment of collected survey data. [1] Data editing helps define guidelines that will reduce potential bias and ensure consistent estimates leading to a clear analysis of the data set by correct inconsistent data using the methods later in this article. [2]

  6. Data cleansing - Wikipedia

    en.wikipedia.org/wiki/Data_cleansing

    Data cleansing may also involve harmonization (or normalization) of data, which is the process of bringing together data of "varying file formats, naming conventions, and columns", [2] and transforming it into one cohesive data set; a simple example is the expansion of abbreviations ("st, rd, etc." to "street, road, etcetera").

  7. Error detection and correction - Wikipedia

    en.wikipedia.org/wiki/Error_detection_and_correction

    The output of a cryptographic hash function, also known as a message digest, can provide strong assurances about data integrity, whether changes of the data are accidental (e.g., due to transmission errors) or maliciously introduced. Any modification to the data will likely be detected through a mismatching hash value.

  8. Data dredging - Wikipedia

    en.wikipedia.org/wiki/Data_dredging

    Data dredging (also known as data snooping or p-hacking) [1] [a] is the misuse of data analysis to find patterns in data that can be presented as statistically significant, thus dramatically increasing and understating the risk of false positives.

  9. Google Docs Editors - Wikipedia

    en.wikipedia.org/wiki/Google_Docs_Editors

    Google Vids (AI video editor; currently in beta testing) It used to also include Google Fusion Tables until it was discontinued in 2019. [2] The Google Docs Editors suite is available freely for users with personal Google accounts: through a web application, a set of mobile apps for Android and iOS, and a desktop application for Google's ChromeOS.