R Tutorials


30 Data Science Interview Questions and Answers

1. Objective In this tutorial, we will provide you 30 Data Science Interview Questions. Also, these Data Science Interview Questions includes Data Science interview questions for freshers as well as data science interview questions for experienced professionals. As in these Data Science Interview Questions we have included all major topics. These Data Science Interview Questions will surely help you to sort out your each concept to clear Data Science interviews. 2. 30 Data Science Interview Questions Q.1. What is meant by feature […]


30 Frequently asked Data Science Interview Questions-Answers

1. Objective As we have already discussed so many Data Science Interview Questions and Answers in our previous blogs. So, in this blog, we will be going to provide you next 30 frequently asked Data Science Interview Questions-Answers being shared by industry experts. Also, questions are totally based on R hot topics. Moreover, these frequently asked data science interview questions-answers will help you in cracking interviews for data scientist position. 2. Best 30 Frequently asked Data Science Interview Questions-Answers Q.1. What is the […]


Chi-Square Test in R with Example

1. Objective  In this R tutorial, we will be going to discuss R chi-square test. As it contains some parameters which are necessary to understand.Also, we will discuss each parameter in detail with an example.        2. Introduction to Chi-Square Test in R Chi Square test in R is a statistical method which is being used to determine if two categorical variables have a significant correlation between them. We have to choose both variables from the same population […]


Data Analytics with R, Tableau and Excel

1. Objective In this blog, we will discuss briefly Data Analytics with R, Tableau, and Excel. Also, will study basics of all for proper understanding. 2. Introduction to Data Analytics with R, Tableau and Excel a. Introduction to R It is an open source tool. Also, data miners basically use it for developing statistical software and data analysis. R is a GNU project which is similar to S language. Hence, we can consider R as a different implementation of S. […]


Exploratory Data analysis With R

1. Objective In this blog, we will learn about the exploratory data analysis in R. Also, will discuss the basic statistical properties. Moreover, these steps are commonly known as R Exploratory Data Analysis (EDA). 2. Introduction to Exploratory Data Analysis To summarize main characteristics of data analysis in R, EDA is the only approach with the help of descriptive statistics and visual methods. It is not a formal process that contains a strict set of rules. More than anything, EDA is […]

Exploratory data analysis with R

Data Structures in R Programming

1.Objective In this blog, we will study Data Structures in R. Also, will study every data object of Data Structures. Along with this, we will also learn R objects syntax, applications and examples. Moreover, will study R Data Structures different operations. 2.Introduction to Data Structures in R In any programming language, if you are doing programming, you need to use various variables to store different data. Moreover, variables are reserved in a memory locations to store values. Also, this implies […]


Generalized Linear Models in R

1. Objective In this tutorial, we are going to discuss Generalized Linear Models in R with their types. Along with this, we will also cover uses, the syntax of different generalized models. 2. Introduction to Generalized Linear Models in R We are aware that the response variable is quantitative and normally distributed. So, now let us pay more attention to two types of models namely- Logistic regression and Poisson regression. As both belong to a family of regression models called generalized […]


OLS Regression in R

1. Objective In this R tutorial, we will be going to discuss OLS Regression in R in detail. We will also cover OLS models, useful commands and diagnostic in R. 2. Introduction to OLS Regression in R It is a type of statistical technique. That is being used for modeling. Also, used for analysis of linear relationships between a response variable. If there is a relationship between two variables appears to be linear. Then a straight line can be fit […]


Bootstrapping in R – Bootstrap Resampling and Examples

1. Objective In this tutorial, we will learn what is bootstrapping in R, why and when to use R bootstrapping. Along with this, we will also cover bootstrap development and pros and cons of bootstrapping in R in different areas. We will also see bootstrap examples and bootstrap package. 2. Introduction to Bootstrapping in R Bootstrapping in R is a very useful tool in statistics. Bootstrapping comes in handy when there is a doubt. It is a non-parametric method. Generally […]


Principal Components and Factor Analysis in R

1. Objective In this R tutorial, we will learn what does exactly Principal components and Factor Analysis in R means. After this, we will move forward to learn its components, principal, and functions. 2. Introduction to Principal components and Factor Analysis in R We use R principal component and factor analysis as the multivariate analysis method. The aim of this is to reveal systematic covariations among a group of variables. Also, the analysis can be motivated in many different ways. It […]