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Data Mining R Software -What is used in R Software and Features of R software?

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R Software

In data mining lots of software’s are used for predict a values for future. The R software is most popular software used in data Mining industry. That software are runs on Windows operating system, Linux and Mac operating system also. The R software are used in different industries including government, finance, insurance, medicine, scientific research and many more. It is advanced technique for calculating a data mining task. It is a free software environment for statistical computing and graphics in solving different problems from industry. R software can be easily extended 6600 + packages in industry.

R software can used in-

1. Machine Learning

2. Statistical Learning

3. Time Series Analysis

4. Cluster Analysis

Features of R software-

1. R software has many statistical functions and visualize.

2. The immediate result for user in the format of JPEG, PNG and PDF etc. The R software can gives multi functionality to user.

3. R software is running without compiling any code from different languages.

4. The R software is more than statistical functionality.

5. That software is cross platform.

6. The R software are used for visualize the desired result in chart format with many visualize format, It also display 3D effects output to user.

7. R is a free open source software.

Explanation-

The R and weka both softwares are used in data preparation and visualization of data. The weka is powerful tool that can be implement data and work for data preparation and data visualization. R used for data implementation and work on that data and visualization done with use of data. It is used for statistical analysis and data visualization. That programming language used for researcher to research on data and also used for business analytics and reporting for generate report with visualization of decision making. 

It is a open source programming language and strogly support to statistical functionalities. In that include thousands of in build packages for work on stat operation amd visualization. That language or tool run on windows, linux and mac os also. That available in both script editor and programming tool editor. R used for data mining and machine learning implementation on data.  The R language support vector, metrics, data frames and list functionality. The descriptive statistical, probability functionality, linear and non linear functionality, classification and clustering methods.

Read More-

  1. Data Warehouse and Data Mining All Chapter Notes
  2. What Is Data Warehouse
  3. Applications of Data Warehouse, Types Of Data Warehouse
  4. Architecture of Data Warehousing
  5. Difference Between OLTP And OLAP
  6. Python Notes


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