S-sampling
Definition of S-sampling
S-sampling: S-sampling is the process of drawing a random sample from a population.
S-sampling: S-sampling is the process of drawing a random sample from a population.
Definition of Data Visualization Data Visualization: Data Visualization is the process of transforming data into a graphical representation that is easier to understand. This can be done in order to identify patterns, trends, and correlations that would otherwise be hidden in a table of data. What are Data Visualizations used for? Data visualizations are used…
Definition of Kernel Regression Kernel Regression: Kernel regression is a type of nonlinear regression that uses a kernel function to calculate the weight of each input data point. This type of regression is often used for time series data, where the input points are close together in time. How is Kernel Regression used? Kernel Regression…
Definition of Weighted Average Weighted Average: Weighted average is a calculation that assigns a weight to each value in a set and then calculates the sum of those weights divided by the sum of the weights.
Definition of Quantitative Quantitative: Quantitative means numerical. Quantitative data is data that can be measured or counted. Quantitative refers to the use of numbers and mathematical models to understand and analyze data. It is a branch of statistics that deals with the measurement, analysis, interpretation, presentation, and organization of data.
Definition of D3 D3 is a JavaScript library for data-driven documents. It helps you to create data visualisations using HTML, SVG and CSS. D3 makes it easy to bind data to DOM nodes, making it easy to manipulate and style your data. What is D3 used for? D3, or Data-Driven Documents, is a JavaScript library…
Definition of Linear Regression Linear Regression: Linear Regression is a statistical technique that helps us understand how one variable (the dependent variable) changes when other variables (the independent variables) change. It does this by fitting a line through a set of data points, and then using the line to predict the value of the dependent…