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  2. Hadley Wickham - Wikipedia

    en.wikipedia.org/wiki/Hadley_Wickham

    Hadley Alexander Wickham (born 14 October 1979) is a New Zealand statistician known for his work on open-source software for the R statistical programming environment. He is the chief scientist at Posit PBC and an adjunct professor of statistics at the University of Auckland , Stanford University , and Rice University .

  3. Tidyverse - Wikipedia

    en.wikipedia.org/wiki/Tidyverse

    The tidyverse is a collection of open source packages for the R programming language introduced by Hadley Wickham [1] and his team that "share an underlying design philosophy, grammar, and data structures" of tidy data. [2] Characteristic features of tidyverse packages include extensive use of non-standard evaluation and encouraging piping. [3 ...

  4. Heike Hofmann - Wikipedia

    en.wikipedia.org/wiki/Heike_Hofmann

    Hadley Wickham [4] Yihui Xie [3] [5] Website: www.stat.iastate.edu /people /heike-hofmann: Heike Hofmann (born 16 April 1972) is a statistician and Professor in the ...

  5. List of statisticians - Wikipedia

    en.wikipedia.org/wiki/List_of_statisticians

    This list of statisticians lists people who have made notable contributions to the theories or application of statistics, or to the related fields of probability or machine learning.

  6. t-distributed stochastic neighbor embedding - Wikipedia

    en.wikipedia.org/wiki/T-distributed_stochastic...

    t-distributed stochastic neighbor embedding (t-SNE) is a statistical method for visualizing high-dimensional data by giving each datapoint a location in a two or three-dimensional map.

  7. Datasaurus dozen - Wikipedia

    en.wikipedia.org/wiki/Datasaurus_dozen

    The Datasaurus dozen comprises thirteen data sets that have nearly identical simple descriptive statistics to two decimal places, yet have very different distributions and appear very different when graphed. [1]

  8. Multidimensional scaling - Wikipedia

    en.wikipedia.org/wiki/Multidimensional_scaling

    Multidimensional scaling (MDS) is a means of visualizing the level of similarity of individual cases of a data set. MDS is used to translate distances between each pair of objects in a set into a configuration of points mapped into an abstract Cartesian space.

  9. Exploratory data analysis - Wikipedia

    en.wikipedia.org/wiki/Exploratory_data_analysis

    Tukey defined data analysis in 1961 as: "Procedures for analyzing data, techniques for interpreting the results of such procedures, ways of planning the gathering of data to make its analysis easier, more precise or more accurate, and all the machinery and results of (mathematical) statistics which apply to analyzing data."