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2. Data analysis - Wikipedia

   en.wikipedia.org/wiki/Data_analysis

   Data analysis is the process of inspecting, cleansing, transforming, and modeling data with 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 ...

3. Shapiro–Wilk test - Wikipedia

   en.wikipedia.org/wiki/Shapiro–Wilk_test

   The Shapiro–Wilk test tests the null hypothesis that a sample x1, ..., xn came from a normally distributed population. The test statistic is. where. ). is the sample mean. The coefficients are given by: [1] where C is a vector norm: [2] and the vector m, is made of the expected values of the order statistics of independent and identically ...

4. Regression analysis - Wikipedia

   en.wikipedia.org/wiki/Regression_analysis

   In statistical modeling, regression analysis is a set of statistical processes for estimating the relationships between a dependent variable (often called the outcome or response variable, or a label in machine learning parlance) and one or more error-free independent variables (often called regressors, predictors, covariates, explanatory ...

5. Statistics - Wikipedia

   en.wikipedia.org/wiki/Statistics

   Statistics (from German: Statistik, orig. "description of a state, a country" [1]) is the discipline that concerns the collection, organization, analysis, interpretation, and presentation of data. [2] In applying statistics to a scientific, industrial, or social problem, it is conventional to begin with a statistical population or a statistical ...

6. Biplot - Wikipedia

   en.wikipedia.org/wiki/Biplot

   Biplots are a type of exploratory graph used in statistics, a generalization of the simple two-variable scatterplot. A biplot overlays a score plot with a loading plot. A biplot allows information on both samples and variables of a data matrix to be displayed graphically. Samples are displayed as points while variables are displayed either as ...

7. 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 ...