This report is intended to provide insight about how to use R to perform ANOVA analysis for marketing campaign. In this report, objective is to analyse promotion Campaign data set (“PL_X_SELL”) in R programming language and generate information about the data set. This data exploration report will contain following: Problem Description Importing the dataset using […]

## Data Exploration in R with GGPLOT2 & Standard Functions

In this post, we are going to perform high level data exploration in R programming language using GGPLOT2 and its standard plotting functions. So if you are looking on information on how to make plots and graphs in R using ggplot2 or standard r functions, you will find this post useful. You can simply change […]

## What is GGPlot2 & How To Use It

Ggplot2 is an advance R library designed for creating charts. Ggplot2 is one of the 3 graphics system in R, other than base and lattice. it was written by Hadley Wickham. Web site: http://ggplot2.org GGplot2 Overview GGplot2 is like a R grammar system for graphics where the syntax consists various parts of graphics and you can […]

## Business Analytics Part 10- Linear Regression Analysis

In the last chapter, we studied about Regression analysis, its types and walked through concepts of univariate and multivariate analysis. In this chapter, we are going to dive in further in Regression analysis while covering Linear Regression Analysis. Linear Regression Analysis Linear Regression Analysis or popularly called as, Linear analysis is a statistical technique to […]

## Business Analytic Part 9-Regression Analysis

Welcome to the chapter 9 of business analytics tutorial where we will start with subjects related to predictive modelling in data science. In this chapter, we will cover Regression analysis and its variants. We will first go through the definitions and concepts and later cover them in detail with case studies to see their real […]

## Business Analytics Part 8-More Data Science & Statistical Concepts

We have already covered many data science and statistical concepts in previous chapters. We will continue with basic and advance data science related statistical concepts with their business applications in this chapter as well. Data Science & Statistical Concepts Skewness Skewness is the measure of the asymmetry or deviation from the symmetry in statistical analysis. […]

## Business Analytics Part 7- Descriptive Analysis Vs Inferential Analysis

You have already covered good ground if you have been following this tutorial from beginning but if you haven’t, you can simply use the link for previous chapters at the bottom of each post. So far, we have covered various statistical tests like f test, p test, one way ANOVA, two ANOVA etc. They are […]

## Business Analytics Part 6- Two Way Analysis of variance (ANOVA)

In the last chapter about one way ANOVA, we studied how one way ANOVA is used to measure a variable or output or factor for more than two groups at different interval or level. Suppose we instead of one variable, we have two variables. In that case, we will two way ANOVA. Welcome to part […]

## Business Analytics Part 5- One Way Analysis of Variance (ANOVA)

As we have already seen been through t test and f test in previous chapters, it is a good time to look at ANOVA in detail. In this chapter we will go through One Way ANOVA. In the last chapter, we have mentioned that t test for independent variable is equivalent to ANOVA if you […]

## Business Analytics Part 4- Analysis of variance (ANOVA)

As mentioned in the first tutorial that these chapters are designed to help you learn and train for SAS Business Analyst certification and other data scientist certifications, we are going to first focus on topics which are more relevant for that and then we will explore the vast ocean of statistical concepts. if you have […]

## Business Analytics Part 3- Variables in Hypothesis & Analysis

Welcome to the Part 3 of Business Analytics where we will dive deeper into variables and their application in data science. In this post, we will further see how they are applied in data science for business analytics purpose. In order to do so, we will look at some of the most basic but important […]

## Business Analytics Part 2- Data Science Basics with Statistics

Welcome to the 2nd part of our data science, in this post we will learn about the basic concepts of data science and how to get used to the basic concepts before we delve deeper. You can read the first part here. Data science in nutshell is “Statistic” and a data scientist is a “statistician”. […]

## Business Analytics Part 1- Data Science or Big Data

Business Analytics, Big Data, Data Science, Data Analytics & Data mining, these are some of the most buzzing words in the current tech world. Data Science has been termed the sexiest job of the 21st century by Harvard . It is going to be biggest job creator for next couple of decades and jobs which […]