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  2. 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 ...

  3. r/dataisbeautiful - Wikipedia

    en.wikipedia.org/wiki/R/dataisbeautiful

    The r/dataisbeautiful subreddit requires users submitting visualizations to clearly credit both the individual who created the visualization and the source of the data on which it is based. If someone submits a visualization they created themselves, the rules require them to put "[OC]" in the title of the submission, and to identify the source ...

  4. Data and information visualization - Wikipedia

    en.wikipedia.org/wiki/Data_and_information...

    Interactive data visualization enables direct actions on a graphical plot to change elements and link between multiple plots. [56] Interactive data visualization has been a pursuit of statisticians since the late 1960s. Examples of the developments can be found on the American Statistical Association video lending library. [57]

  5. R (programming language) - Wikipedia

    en.wikipedia.org/wiki/R_(programming_language)

    R is a programming language for statistical computing and data visualization. It has been adopted in the fields of data mining, bioinformatics and data analysis. [9] The core R language is augmented by a large number of extension packages, containing reusable code, documentation, and sample data. R software is open-source and free software.

  6. Small multiple - Wikipedia

    en.wikipedia.org/wiki/Small_multiple

    Small multiple designs, multivariate and data bountiful, answer directly by visually enforcing comparisons of changes, of the differences among objects, of the scope of alternatives. For a wide range of problems in data presentation, small multiples are the best design solution. [1]

  7. Interactive visual analysis - Wikipedia

    en.wikipedia.org/wiki/Interactive_visual_analysis

    Interactive Visual Analysis is an iterative process. Discoveries made after brushing of the data and looking at the linked views can be used as a starting point for repeating the process, leading to a form of information drill-down. As an example, consider the analysis of data from a simulation of a combustion engine.

  8. Data analysis - Wikipedia

    en.wikipedia.org/wiki/Data_analysis

    Data collection or data gathering is the process of gathering and measuring information on targeted variables in an established system, which then enables one to answer relevant questions and evaluate outcomes. The data may also be collected from sensors in the environment, including traffic cameras, satellites, recording devices, etc.

  9. Brushing and linking - Wikipedia

    en.wikipedia.org/wiki/Brushing_and_linking

    Brushing and linking is also an important technique in interactive visual analysis, a method for performing visual exploration and analysis of large, structured data sets. [ 2 ] Specifically, linking consists of a change of parameters (for example a data filter) in one data representation being reflected in other connected data representations.