Regression in R
Anova in R
It is one of the important Business Analytic tools that can use for each and every organization. It is a programming language and it is a free software environment used for the business analysis with visualization. It was created by Ross Ihaka and Robert Gentleman at the University of Auckland, New Zealand. The R software is widely used by data scientists, business analysts, and business intelligence. Major corporations like Facebook and Airbnb use it, and Google is used for analysis. Through the analysis, we can make better solutions for business growth. It comprises the collection of libraries specially designed for analysis. It is very easy to install, and nowadays, we are using R –studio created by John Chambers.
It has a wide range of applications in various fields. Here I am introducing some major applications: Finance, Banking, Healthcare, Social media, E-commerce, and manufacturing field.
Finance: Data science that is widely used in the financial industry for the analysis, risk management, and visualization
Banking: It is used for risk analysis, customer quality, customer segmentation, and retention.
Healthcare: It has heavy usage of R. The fields are Genetics, Bioinformatics, Drug Discovery, and Epidemiology
Social Media: It is used to analyze segment potential customers and target them for selling your products.
Manufacturing: Most companies use this software to find customer sentiment and interests.
E-Commerce: It is one of the most important sectors of data science that can be used with R software. Because the e-commerce company deals with the various forms of structured and unstructured data varying from data sources like spreadsheets and databases, it helps analyze the cross-selling products to their customers. We can suggest additional products for the customers. R., For example, can find this type of analysis and recommendations if we own an e-commerce website for your business. In that you can get various forms of data from different sources if you are using R software for the analysis, it helps us find suggestions and recommendations to help us achieve our business goal.
As a student, professional, and reader, you should have some basic computer knowledge and programming knowledge. This will help you to learn quickly.
R is very useful, and we can learn quickly, and it is specially designed for analysis, statistical analysis, and visualizations. It can be used by data scientists, business analysts, and business intelligence analysts. Through the analysis, it helps the organization's business growth in various fields it helps to find out future trends in our business.