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  2. Infographic - Wikipedia

    en.wikipedia.org/wiki/Infographic

    [3] [4] Similar pursuits are information visualization, data visualization, statistical graphics, information design, or information architecture. [2] Infographics have evolved in recent years to be for mass communication, and thus are designed with fewer assumptions about the readers' knowledge base than other types of visualizations. [5]

  3. Data and information visualization - Wikipedia

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

    In data and information visualization, the goal is to graphically present and explore abstract, non-physical and non-spatial data collected from databases, information systems, file systems, documents, business data, etc. (presentational and exploratory visualization) which is different from the field of scientific visualization, where the goal ...

  4. Statistical graphics - Wikipedia

    en.wikipedia.org/wiki/Statistical_graphics

    In addition, the choice of appropriate statistical graphics can provide a convincing means of communicating the underlying message that is present in the data to others. [1] Graphical statistical methods have four objectives: [2] The exploration of the content of a data set; The use to find structure in data; Checking assumptions in statistical ...

  5. Dashboard (computing) - Wikipedia

    en.wikipedia.org/wiki/Dashboard_(computing)

    Power BI provides the tools for a user to create different types of visualizations to communicate the data that they are using. Some examples of these visualizations include graphs, maps, and clustered columns. Power BI pulls data from Excel that can be used to create dashboards and visualizations. Whereas Excel does not import data from Power BI.

  6. Visual variable - Wikipedia

    en.wikipedia.org/wiki/Visual_variable

    This has largely been dropped from most subsequent lists by cartographers, since location in a map is predetermined by geography. However, it is crucial for representing information in charts and other data visualizations; for example, position is the main method of visualizing quantitative values in a scatterplot. Even in cartography, position ...

  7. Exploratory data analysis - Wikipedia

    en.wikipedia.org/wiki/Exploratory_data_analysis

    Exploratory data analysis is an analysis technique to analyze and investigate the data set and summarize the main characteristics of the dataset. Main advantage of EDA is providing the data visualization of data after conducting the analysis.

  8. Box plot - Wikipedia

    en.wikipedia.org/wiki/Box_plot

    Because the whiskers must end at an observed data point, the whisker lengths can look unequal, even though 1.5 IQR is the same for both sides. All other observed data points outside the boundary of the whiskers are plotted as outliers. [10] The outliers can be plotted on the box-plot as a dot, a small circle, a star, etc. (see example below).

  9. 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 ...