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  2. PDF-XChange Viewer - Wikipedia

    en.wikipedia.org/wiki/PDF-XChange_Viewer

    PDF-XChange Viewer (now superseded by the PDF-XChange Editor) is a freemium PDF reader for Microsoft Windows. It supports saving PDF forms and importing or exporting form data in FDF/XFDF format. Since version 2.5, there has been partial support for XFA, and exporting form data in XML Data Package (XDP) or XML format.

  3. File:R histogram uniform distribution.pdf - Wikipedia

    en.wikipedia.org/wiki/File:R_histogram_uniform...

    This file contains additional information, probably added from the digital camera or scanner used to create or digitize it. If the file has been modified from its original state, some details may not fully reflect the modified file.

  4. Sumatra PDF - Wikipedia

    en.wikipedia.org/wiki/Sumatra_PDF

    Sumatra PDF is a free and open-source document viewer that supports many document formats including: Portable Document Format (PDF), Microsoft Compiled HTML Help (CHM), DjVu, EPUB, FictionBook (FB2), MOBI, PRC, Open XML Paper Specification (OpenXPS, OXPS, XPS), and Comic Book Archive file (CB7, CBR, CBT, CBZ). [3]

  5. ggplot2 - Wikipedia

    en.wikipedia.org/wiki/Ggplot2

    ggplot2 is an open-source data visualization package for the statistical programming language R.Created by Hadley Wickham in 2005, ggplot2 is an implementation of Leland Wilkinson's Grammar of Graphics—a general scheme for data visualization which breaks up graphs into semantic components such as scales and layers. ggplot2 can serve as a replacement for the base graphics in R and contains a ...

  6. Zathura (document viewer) - Wikipedia

    en.wikipedia.org/wiki/Zathura_(document_viewer)

    Zathura is a free, plugin-based document viewer. Plugins are available for PDF (via poppler or MuPDF), PostScript and DjVu. It was written to be lightweight and controlled with vi-like keybindings. Zathura's customizability makes it well-liked by many Linux users. [4]

  7. Histogram - Wikipedia

    en.wikipedia.org/wiki/Histogram

    To construct a histogram, the first step is to "bin" (or "bucket") the range of values— divide the entire range of values into a series of intervals—and then count how many values fall into each interval. The bins are usually specified as consecutive, non-overlapping intervals of a variable. The bins (intervals) are adjacent and are ...