Introduction to Tableau: A Beginner’s Guide to Data Visualization

Introduction to Tableau: Overview and Installation Tableau is a powerful and versatile data visualization tool that helps users quickly analyze, visualize, and share data insights. It allows users to connect to a wide range of data sources, such as Excel spreadsheets, SQL databases, and cloud-based applications, and transform raw data into interactive and engaging visualizations.

Understanding Data Science: Definition, History, and Necessity

What is data science? Data science is an interdisciplinary field that involves extracting insights and knowledge from data using various statistical, computational, and machine learning techniques. It involves collecting, cleaning, processing, and analyzing large and complex datasets to identify patterns, trends, and correlations that can be used to make informed decisions. The goal of data

Using the Reduced Basis Method (RBM) to Efficiently Solve Both Differential Equations and Reduce Dimensionality in Scientific Simulations

Introduction to the Reduced Basis (RB) Method The Reduced Basis (RB) Method is a mathematical tool that has been gaining widespread popularity in recent years. It is a model order reduction approach that allows for the efficient yet reliable approximation of input-output relationships induced by parametrized partial differential equations. This method is particularly useful in

A Beginner’s Guide to QR Factorization in MATLAB: Understanding and Implementing the Algorithm

Numerical linear algebra is a branch of mathematics that deals with the efficient computation of solutions to systems of linear equations and eigenvalue problems. One of the key tools in numerical linear algebra is the QR factorization, also known as QR decomposition. This powerful technique can be used to solve linear systems of equations, calculate

Unleashing the Power of Principal Component Analysis (PCA) for Data Analysis

Principal Component Analysis (PCA) is a widely used statistical method in the field of machine learning, data analysis and pattern recognition. It is a dimensionality reduction technique that helps to simplify complex data sets by transforming them into a new space with reduced dimensions, while preserving most of the important information. In this article, we

DANP (DEMATEL-based analytic network process) method

Fuzzy DANP (DEMATEL-based ANP) Method or Fuzzy DEMATEL-based ANP, is essentially the same as the Fuzzy ANP method, where internal relationships are determined based on the Fuzzy DEMATEL method. In the classical Fuzzy Analytic Network Process (ANP) method, internal relationships were determined based on expert opinions. However, later methods were developed to specify these internal

Fuzzy Analytic Network Process (FANP) Method – Simple Example

In the realm of multi-criteria decision-making, the Fuzzy Analytic Network Process (FANP) method stands out as a comprehensive and versatile technique. FANP empowers decision-makers to delve into the intricate web of relationships among factors while embracing the inherent uncertainty inherent in expert judgments. Within the framework of the Fuzzy Network Analysis Process, one can seamlessly