Dual System Estimates : Dual system estimates in census refer to a method of estimating the population characteristics of a certain area or group by combining data from two different sources. This approach is commonly used in censuses to improve the accuracy and reliability of the estimates, particularly when there are gaps or inconsistencies in […]

Dropout : Dropout is a term used in the field of education to refer to the phenomenon of students leaving school before completing their studies. This can occur for a variety of reasons, including academic difficulties, behavioral problems, or financial constraints. The consequences of dropout can be significant, both for the individual student and for […]

Dplyr : Dplyr is a powerful R package for data manipulation and analysis. It is a part of the tidyverse, a collection of packages designed for data science in R. Dplyr offers a set of convenient functions for filtering, grouping, and summarizing datasets, making it an essential tool for data analysis. One of the key […]

Docker : Docker is a type of virtualization technology that allows users to run multiple isolated applications on a single host operating system. This can be useful for a number of reasons, including the ability to run different applications that have different system requirements on the same computer, and the ability to easily move applications […]

Dispersion : Dispersion refers to the spread of data or information within a group or population. In other words, it is the variation or deviation of individual values from the average or mean. There are two main types of dispersion: measure of dispersion and measure of variability. Measure of dispersion is a statistical measure that […]

Discriminant Analysis : Discriminant analysis is a statistical method used for classifying data into groups or classes based on certain characteristics of the data. This method is often used in the field of psychology to study the differences between groups of individuals, such as those with and without a particular disorder, or to study the […]

Discrete Uniform Distribution : The discrete uniform distribution is a probability distribution that assigns equal probability to each possible value within a set of mutually exclusive and exhaustive outcomes. In other words, every possible outcome has the same probability of occurring. For example, let’s say we have a fair six-sided die. Each side of the […]

Discrete Time Fourier Transform : The discrete time Fourier transform (DTFT) is a mathematical tool used to analyze the frequency content of discrete time signals. It provides a representation of a signal in the frequency domain, allowing us to understand the spectral characteristics of a signal and design filters to manipulate its behavior. One example […]

Discrete Fourier Transform : The discrete Fourier transform (DFT) is a mathematical technique that allows for the analysis and representation of a discrete-time signal in the frequency domain. This allows for the identification and manipulation of the individual frequency components of a signal, which can be useful in a variety of applications such as signal […]

Disclosure Risk : Disclosure risk refers to the risk that confidential or sensitive information may be unintentionally revealed during the process of data collection and analysis. This can occur in a variety of ways, such as through the release of personal information or the identification of individuals in a dataset. One example of disclosure risk […]