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  2. Matomo (software) - Wikipedia

    en.wikipedia.org/wiki/Matomo_(software)

    Available in. PHP. Type. Web analytics. License. GNU GPL v3. Website. matomo.org. Matomo, [2] formerly Piwik (pronounced / ˈpiːwiːk /), is the most common free and open source web analytics application to track online visits to one or more websites and display reports on these visits for analysis.

  3. Web analytics - Wikipedia

    en.wikipedia.org/wiki/Web_analytics

    v. t. e. Web analytics is the measurement, collection, analysis, and reporting of web data to understand and optimize web usage. [1] Web analytics is not just a process for measuring web traffic but can be used as a tool for business and market research and assess and improve website effectiveness.

  4. Wikipedia:Pageview statistics - Wikipedia

    en.wikipedia.org/wiki/Wikipedia:Pageview_statistics

    These figures do not reflect the number of unique visitors a page has received. [1] The pageview stats tool is available from any page, in two ways: 1) Click "Page information" under "Tools" in the sidebar and then "Page view statistics" at the bottom. 2) Click the history tab and then "Pageviews" near the top.

  5. Bounce rate - Wikipedia

    en.wikipedia.org/wiki/Bounce_rate

    Bounce rate is an Internet marketing term used in web traffic analysis. It represents the percentage of visitors who enter the site and then leave ("bounce") rather than continuing to view other pages within the same site. Bounce rate is calculated by counting the number of single page visits and dividing that by the total visits.

  6. Visitor pattern - Wikipedia

    en.wikipedia.org/wiki/Visitor_pattern

    The Visitor [1] design pattern is one of the twenty-three well-known Gang of Four design patterns that describe how to solve recurring design problems to design flexible and reusable object-oriented software, that is, objects that are easier to implement, change, test, and reuse.

  7. VisIt - Wikipedia

    en.wikipedia.org/wiki/VisIt

    Summary. VisIt is an open-source application for large-scale simulated and experimental data sets. The application serves as an infrastructure for parallelized, general post-processing of extremely massive data sets. Its primary use cases include data exploration, comparative analysis, visual debugging, quantitative analysis, and presentation ...

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