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  2. Data and information visualization - Wikipedia

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

    Data and information visualization (data viz/vis or info viz/vis) [2] is the practice of designing and creating easy-to-communicate and easy-to-understand graphic or visual representations of a large amount [3] of complex quantitative and qualitative data and information with the help of static, dynamic or interactive visual items.

  3. Graphviz - Wikipedia

    en.wikipedia.org/wiki/Graphviz

    Graphviz (short for Graph Visualization Software) is a package of open-source tools initiated by AT&T Labs Research for drawing graphs (as in nodes and edges, not as in bar charts) specified in DOT language scripts having the file name extension "gv". It also provides libraries for software applications to use the tools.

  4. Plotly - Wikipedia

    en.wikipedia.org/wiki/Plotly

    Plotly is a technical computing company headquartered in Montreal, Quebec, that develops online data analytics and visualization tools. Plotly provides online graphing, analytics, and statistics tools for individuals and collaboration, as well as scientific graphing libraries for Python, R, MATLAB, Perl, Julia, Arduino, JavaScript [1] and REST.

  5. Bar chart - Wikipedia

    en.wikipedia.org/wiki/Bar_chart

    A bar chart or bar graph is a chart or graph that presents categorical data with rectangular bars with heights or lengths proportional to the values that they represent. The bars can be plotted vertically or horizontally. A vertical bar chart is sometimes called a column chart. A bar graph shows comparisons among discrete categories.

  6. RAWGraphs - Wikipedia

    en.wikipedia.org/wiki/RAWGraphs

    Version 1.0.0 was released in 2014. In the same year the tool won the "Most Beautiful" award at the Kantar Information is Beautiful Awards 2014 organized by David McCandless. [4] In 2017 the project was re-launched thanks to private support. [5] It changed the license from LGPL to Apache 2 and the project name to "RAWGraphs".

  7. Wikipedia:Graphs and charts - Wikipedia

    en.wikipedia.org/wiki/Wikipedia:Graphs_and_charts

    The Google Chart API allows a variety of graphs to be created. Livegap Charts creates line, bar, spider, polar-area and pie charts, and can export them as images without needing to download any tools. Veusz is a free scientific graphing tool that can produce 2D and 3D plots. Users can use it as a module in Python.

  8. Looker Studio - Wikipedia

    en.wikipedia.org/wiki/Looker_Studio

    Looker Studio, [1] formerly Google Data Studio, [2][3][4][5] is an online tool for converting data into customizable, informative reports and dashboards. [6] Looker Studio was announced by Google on March 15, 2016 [7] as part of the enterprise Google Analytics 360 suite, and a free version was made available for individuals and small teams in ...

  9. Statistical graphics - Wikipedia

    en.wikipedia.org/wiki/Statistical_graphics

    Statistical graphics have been central to the development of science and date to the earliest attempts to analyse data. Many familiar forms, including bivariate plots, statistical maps, bar charts, and coordinate paper were used in the 18th century. Statistical graphics developed through attention to four problems: [3]

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