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  2. Rattle GUI - Wikipedia

    en.wikipedia.org/wiki/Rattle_GUI

    Rattle provides considerable data mining functionality by exposing the power of the R Statistical Software through a graphical user interface. Rattle is also used as a teaching facility to learn the R software Language. There is a Log Code tab, which replicates the R code for any activity undertaken in the GUI, which can be copied and pasted.

  3. 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. Tukey's championing of EDA encouraged the development of statistical computing packages, especially S ...

  4. Data and information visualization - Wikipedia

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

    Data visualization refers to the techniques used to communicate data or information by encoding it as visual objects (e.g., points, lines, or bars) contained in graphics. The goal is to communicate information clearly and efficiently to users. It is one of the steps in data analysis or data science. According to Vitaly Friedman (2008) the "main ...

  5. Data analysis - Wikipedia

    en.wikipedia.org/wiki/Data_analysis

    Data analysisis the process of inspecting, cleansing, transforming, and modelingdatawith the goal of discovering useful information, informing conclusions, and supporting decision-making.[1] Data analysis has multiple facets and approaches, encompassing diverse techniques under a variety of names, and is used in different business, science, and ...

  6. Weka (software) - Wikipedia

    en.wikipedia.org/wiki/Weka_(software)

    Weka (software) Waikato Environment for Knowledge Analysis (Weka) is a collection of machine learning and data analysis free software licensed under the GNU General Public License. It was developed at the University of Waikato, New Zealand and is the companion software to the book "Data Mining: Practical Machine Learning Tools and Techniques".

  7. Histogram - Wikipedia

    en.wikipedia.org/wiki/Histogram

    A histogramis a visual representation of the distributionof quantitative data. To construct a histogram, the first step is to "bin" (or "bucket")the range of values— divide the entire range of values into a series of intervals—and then count how many values fall into each interval. The bins are usually specified as consecutive, non ...

  8. Statistics - Wikipedia

    en.wikipedia.org/wiki/Statistics

    Statistics is a mathematical body of science that pertains to the collection, analysis, interpretation or explanation, and presentation of data,[5]or as a branch of mathematics.[6] Some consider statistics to be a distinct mathematical sciencerather than a branch of mathematics. While many scientific investigations make use of data, statistics ...

  9. Sturges's rule - Wikipedia

    en.wikipedia.org/wiki/Sturges's_rule

    Sturges's rule. Sturges's rule[1] is a method to choose the number of bins for a histogram. Given observations, Sturges's rule suggests using. bins in the histogram. This rule is widely employed in data analysis software including Python [2] and R, where it is the default bin selection method. [3]