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  2. Biplot - Wikipedia

    en.wikipedia.org/wiki/Biplot

    The first scatterplot is formed from the points (d 1 α u 1i, d 2 α u 2i), for i = 1,...,n. The second plot is formed from the points (d 1 1−α v 1j, d 2 1−α v 2j), for j = 1,...,p. This is the biplot formed by the dominant two terms of the SVD, which can then be represented in a two-dimensional display.

  3. Bivariate analysis - Wikipedia

    en.wikipedia.org/wiki/Bivariate_analysis

    Examples are Spearman’s correlation coefficient, Kendall’s tau, Biserial correlation, and Chi-square analysis. Pearson correlation coefficient Three important notes should be highlighted with regard to correlation:

  4. Data and information visualization - Wikipedia

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

    Used to teach, explain and/or simply concepts. For example, organisation charts and decision trees. idea generation (conceptual & exploratory). [64] Used to discover, innovate and solve problems. For example, a whiteboard after a brainstorming session. visual discovery (data-driven & exploratory). [64] Used to spot trends and make sense of data.

  5. Bivariate data - Wikipedia

    en.wikipedia.org/wiki/Bivariate_data

    For two qualitative variables (nominal or ordinal in level of measurement), a contingency table can be used to view the data, and a measure of association or a test of independence could be used. [3] If the variables are quantitative, the pairs of values of these two variables are often represented as individual points in a plane using a ...

  6. Bipartite graph - Wikipedia

    en.wikipedia.org/wiki/Bipartite_graph

    When modelling relations between two different classes of objects, bipartite graphs very often arise naturally. For instance, a graph of football players and clubs, with an edge between a player and a club if the player has played for that club, is a natural example of an affiliation network, a type of bipartite graph used in social network analysis.

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  8. Seven basic tools of quality - Wikipedia

    en.wikipedia.org/wiki/Seven_Basic_Tools_of_Quality

    The seven basic tools of quality are a fixed set of visual exercises identified as being most helpful in troubleshooting issues related to quality. [1] They are called basic because they are suitable for people with little formal training in statistics and because they can be used to solve the vast majority of quality-related issues.

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