Dashboards

Videos

Popular posts from this blog

PCA - Principal Components & Variables

PCA - Principal Components & Variables In this post, I've discussed about the relationship between Principal Components (PCs) and Variables in PCA. Most of us would've found it very difficult to figure out the corresponding variables to the PCs in PCA. Let me explain it clearly in the beginning itself that, a PC in a PCA will never corresponds to a particular Variable. A PC is a combination of 2 or more variables. Then how exactly are we going to relate a PC with variable? The rest of the article might give the answer for this question. Ok, lets begin with a quick introduction to PCA. Principal Component Analysis (PCA) is a Dimensionality Reduction technique which is used to reduce the dimension of the data with minimum loss of information. With a lot of open source tools available in the market, it is very easy to implement PCA. For example, let us take R. In R after running PCA the following statistics will be obtained. Standard Deviation, Rotat...
Read more

An Introduction to Factor Analysis

An Introduction to Factor Analysis Hi Guys, in this article I will be giving a theoretical overview about Factor Analysis. This article could also be considered as a continuation of my previous article on Structural Equation Modelling . Since a prior knowledge on Factor analysis is very important to have a better understanding of SEM, I would like to give separate and dedicated article related to Factor Analysis and Path Analysis. This article will cover the Factor Analysis and soon there will be a separate one for Path Analysis too. Lets get started, What exactly a Factor Analysis is? The theory behind the factor analysis is that, the information gained about the inter-dependencies between observed variables can be used later to reduce the set of variables in a dataset. In general, it can be considered as a Data reduction or Dimensionality reduction technique. It's objective is to find out the latent factors that create a commonality among the set of variables. The...
Read more

Structural Equation Modelling - A basic introduction.

Structural Equation Modelling - A basic introduction. Hi Folks, before I begin, I would like to give a overview about the content in this post. This article gives a theoretical overview about the Structural Equation Modelling. This article is targeted and primarily helpful for beginners. The main reason why I have been intended to write this article is to provide an easy understanding about the concept of SEM in a layman language. I humbly admit that, I'm not going to deal with the entire concepts, principles and explanations related to SEM. However, I hope that this article at least provides you a better idea of the rudiments lying under the hood of SEM. Let me give a quick introduction about myself(Sorry for the interruption). I'm a Software Engineer (Business Intelligence & Analytics). A person with ardent interest and curiosity in dealing with data. Data Science and Machine Learning enthusiast. Data Science and Machine Learning blogger. An R & Python(jus...
Read more