Database Connectivity with R Programming Last Updated : 01 Jun, 2020 Summarize Comments Improve Suggest changes Share Like Article Like Report The database is a collection of organized information so that it can be accessed with ease. It can be accessed or stored at the computer system. It can be managed through a Database management system (DBMS), which is a software that is used to manage data. Database refers to related data which is in a structured form. It supports the storage and manipulation of data. Basically a database is having 5 sublanguages: Data Definition Language(DDL) Data Query Language(DQL) Data Manipulation Language(DML) Data Control Language(DCL) Transaction Control Language(TCL) To connect Database with R Programming we will be going to connect R script with MySQL Database. To install MYSql refer to its official site dev.mysql.com To begin with the connection process, follow the steps given below: Step 1: Create a database in MySQL with the following command: create database databasename; As you can see in this image we have used the commands to access the database and moreover performed the DML operations in the database. Step 2: To connect the database with R we can use R Studio. To download R Studio visit rstudio.com Step 3: Use the following command to install the MySQL library in RStudio: install.packages("RMySQL") Now execute the following commands as RScript: Python3 #To check whether the library is installed or not library(RMySQL) # Create a connection Object to MySQL database. mysqlconnection = dbConnect(MySQL(), user = 'root', password = 'root', dbname = 'onlinetutorials', host = 'localhost') typeof(mys) # List the tables available in this database. dbListTables(mysqlconnection) # Query the "actor" tables to get all the rows. a = dbSendQuery(mysqlconnection, "create table students(id int, name varchar(10))") a = dbSendQuery(mysqlconnection, "insert into students values(101, 'amit')") a = dbSendQuery(mysqlconnection, "insert into students values(102, 'aman')") result = dbSendQuery(mysqlconnection, "select * from students") # Store the result in a R data frame object. # n = 5 is used to fetch first 5 rows. data.frame = fetch(result) print(data.frame) Output: Comment More infoAdvertise with us Next Article How to Code in R programming? A amitkkumra Follow Improve Article Tags : R Language Write From Home R-Packages R-Database Similar Reads Working with Databases in R Programming Prerequisite: Database Connectivity with R Programming In R programming Language, a number of datasets are passed to the functions to visualize them using statistical computing. So, rather than creating datasets again and again in the console, we can pass those normalized datasets from relational da 4 min read How to Code in R programming? R is a powerful programming language and environment for statistical computing and graphics. Whether you're a data scientist, statistician, researcher, or enthusiast, learning R programming opens up a world of possibilities for data analysis, visualization, and modeling. This comprehensive guide aim 4 min read R Programming Language - Introduction R is a programming language and software environment that has become the first choice for statistical computing and data analysis. Developed in the early 1990s by Ross Ihaka and Robert Gentleman, R was built to simplify complex data manipulation and create clear, customizable visualizations. Over ti 4 min read Working with CSV files in R Programming CSV (Comma-Separated Values) files are plain text files where each row contains data values separated by commas or other delimiters such as tabs. These files are commonly used for storing tabular data and can be easily imported and manipulated in R. We will explore how to efficiently work with CSV f 3 min read Predictive Analysis in R Programming Predictive analysis in R Language is a branch of analysis which uses statistics operations to analyze historical facts to make predict future events. It is a common term used in data mining and machine learning. Methods like time series analysis, non-linear least square, etc. are used in predictive 4 min read R Programming for Data Science R is an open-source programming language used statistical software and data analysis tools. It is an important tool for Data Science. It is highly popular and is the first choice of many statisticians and data scientists.R includes powerful tools for creating aesthetic and insightful visualizations. 13 min read Like