Glossary - Glosarix

Z-Report

A Z Report is a report generated from data analyzed using Z-Scores. This type of report is fundamental in statistical analysis as it allows for the identification of outliers and the evaluation of…

Z-rotation

Rotating objects around the Z-axis is a fundamental concept in the field of graphic transformation and 3D object manipulation. This type of rotation refers to the action of rotating an object in…

Z-Scale

The scaling factor applied to the Z-axis in 3D transformations refers to the modification of the vertical dimension of an object in three-dimensional space. This concept is fundamental in computer…

Z-scaling

Z-scaling is a process that refers to the scaling of objects along the Z-axis in a three-dimensional space. This concept is fundamental in various disciplines such as 3D modeling, 3D printing, and…

Z-Scan

Z-buffering is a method used in computer graphics to determine the visibility of objects in a three-dimensional scene. This process is fundamental for rendering, as it allows graphics systems to…

Z-Score

The Z-Score is a statistical measure that describes the relationship of a value to the mean of a group, expressing how many standard deviations a data point is from the mean. This concept is…

Z-Score Adjustment

Z-score adjustment is a statistical process used to modify data in order to improve the performance of machine learning models. This method is based on normalizing data, where each value is…

Z-Score Analysis

Z-score analysis is an analytical method that uses Z-scores to interpret data distributions. This technique is based on normalizing data, allowing values to be comparable regardless of the original…

Z-Score Clustering

Z-Score Clustering is a clustering technique that uses Z-scores to group similar data points. The Z-score, which measures how many standard deviations a data point is above or below the mean, allows…

Z-Score Comparison

Z-score comparison is a statistical method that allows evaluating and comparing different datasets based on their Z-scores, which represent the distance of a value from the mean of a dataset…

The Z-score distribution is a statistical tool that allows for the standardization of a dataset, transforming its values into scores that indicate how many standard deviations they are above or below…

Z-Score Filtering

Z-score filtering is a statistical technique used to identify and remove outliers in a dataset. The Z-score measures how many standard deviations a data point is above or below the mean of the…

Data and analytics

Z-Score Graph

The Z-Score Graph is a graphical representation that illustrates the Z-scores of a dataset, facilitating statistical analysis and visualization of data distribution in relation to its mean and…

Z-score normalization

Z-score normalization is a statistical technique used in machine learning to standardize the features of a dataset. This process involves removing the mean from the data and scaling to unit variance…

Z-Score Outlier Detection

Outlier detection by Z-score is a statistical method used to identify data points that deviate significantly from the mean of a dataset. This approach is based on calculating the Z-score, which…

Z-Score Regression

Z-score regression is a statistical method used to evaluate the relationship between variables by incorporating Z-scores as a way to standardize data. Z-scores represent the number of standard…

Z-Scores Table

The Z-Score Table is a statistical tool that provides the percentage of values that fall below a given Z-score in a standard normal distribution. This table is fundamental in inferential statistics…

Z-Score Standardization

Z-score standardization is a data rescaling process that transforms variables to have a mean of zero and a standard deviation of one. This method allows data to be comparable across different scales…

Z-Score Test

The Z-Score Test is a statistical tool used to determine whether the mean of a sample is significantly different from the mean of a known population. This test is based on the normal distribution and…

Z-Score Threshold

The Z-Score Threshold is a specific value used in predictive analytics to establish a limit in decision-making. This threshold is based on the Z-score, which is a statistical measure indicating how…

Z-Score Transformation

The Z-score Transformation is a statistical method used to standardize data points by converting them into Z-scores. This process involves subtracting the mean of a dataset from each value and then…

Z-Search

Z-Order Search is a search algorithm that uses a Z-order curve to perform efficient queries on multidimensional data structures. This approach is based on the idea that data can be organized in a…