R/C2/Overview-of-R-and-RStudio/English

Title of the script: Overview of R and RStudio

Author: Madhuri Ganapathi and Sudhakar Kumar (IIT Bombay)

Keywords: R, RStudio, command-line interface, pie chart, programming, video tutorial

Visual Cue	Narration
Show slide Opening Slide	Welcome to this spoken tutorial on Overview of R and RStudio.
Show slide Learning Objectives	In this tutorial, we will learn: About R programming language Applications of R About RStudio Topics covered in this series
Show slide System Specifications	This tutorial is recorded on Ubuntu Linux OS version 18.04 R version 3.4.4 RStudio version 1.2.5033 It is recommended to install R version 3.2.0 or higher.
Show slide Prerequisites	To follow this series, the learner should have knowledge of basic Mathematics and Statistics.
Show slide About R	Let us first see what R is. R is a programming language developed by Ross Ihaka and Robert Gentleman in 1993. R is used in statistics, data analysis, and machine learning algorithms. It is a free/libre open source software.
Show slide Features of R	Some of its salient features are: R provides support for both procedural programming and object-oriented programming. R can be integrated with other programming languages like C, C++, Python, Java, etc.
Show slide Features of R	R is capable of effective data handling and storage. R has more than 10,000 packages in its repository. R is cross-platform compatible.
Show slide Features of R	R facilitates complex operations with vectors, arrays, and data frames. R has community support of avid developers.
Show Slide Applications of R	R is extensively used in- Fraud detection especially in the finance and banking sectors. Social media analysis to discover potential customers in online advertising.
Show Slide Applications of R	Healthcare to perform pre-clinical trials and analyze the drug-safety data. E-Commerce companies to analyze the purchases made by customers.
	Now, we will learn about some of the companies that use R.
Show Slide Names of the companies that use R	ANZ Bank: ANZ Bank, the fourth largest bank in Australia, uses R for credit risk analysis. It also uses R to fit models for mortgage loss.
Show Slide Names of the companies that use R	Facebook: Facebook uses R for exploratory data analysis, experimental analysis, etc. It also uses R for analyzing user behavior like status updates and profile pictures.
Names of the companies that use R	Google: Google uses R to calculate return on investment on advertising campaigns. It also uses R to improve the efficiency of online advertising.
Web browser https://www.r-project.org/	Let us now see the homepage of R. This is the homepage of the R Project for Statistical Computing.
Highlight download R on the home page	Here, we can download R.
Highlight About R on the right side of the home page	Under the section R Project, click on About R. This will tell us more about R and its environment.
	I will scroll down the page.
Highlight Getting Help on the right side of the home page	Under the section Help With R, click on Getting Help to know how to get help.
Highlight the Terminal on your computer	Now we will see the command line interface of R. I have already installed R on my machine. So, I will launch R from the terminal.
Press Ctrl + Alt + T keys on the keyboard. Highlight the Terminal. Type R in the terminal.	Press Ctrl + Alt + T keys on the keyboard to open a terminal window. Now, in the terminal, type capital R and press Enter.
Highlight R command-line interface	The command-line interface of R opens. In the terminal, scroll up. Notice that R version 3.4.4 is installed on my machine. Now, scroll down.
Highlight R command-line interface	Here, we can type the commands to be executed in R. As an example, we’ll evaluate the value of 10 raised to the power of 0.1.
R console: Type 10^0.1	Type 10 carat sign 0.1 and press Enter.
Highlight the value in the Terminal	The expected value is being displayed on the R terminal window.
	Now, we will learn about RStudio.
Show slide About RStudio	RStudio is an integrated development environment for R. It includes a console and an editor. It provides tools for plotting, debugging and workspace management.
Web browser https://rstudio.com/	Let us now see the homepage of RStudio. There is a lot of information about RStudio on this page. You can go through it in detail, later.
	Now let’s get familiar with the RStudio interface. I have already installed RStudio on my machine. So, I will launch RStudio using the terminal.
Highlight the Terminal Type rstudio and press Enter.	Press Ctrl + Alt + T keys together to open a new terminal window. In the terminal, type rstudio and press Enter.
Highlight the Console Window	RStudio is launched. In the left panel of RStudio, we can see the Console window. In the Console, R is waiting for us to type a command. Let us draw a simple pie chart.
RStudio pie(1:5)	In the Console window, type p i e and in parentheses one colon five. Press Enter.
Highlight the pie chart in the Plots window	The expected pie chart is generated in the Plots window.
Highlight Environment and History window	Apart from this, we have Environment and History tabs. Here all the used variables and commands are stored.
Highlight Files window. Point to the current working directory.	In the bottom right panel of RStudio, we have the Files tab. Click on the Files tab. It shows the current working directory. We will learn about other tabs later in this series.
	Let’s now have a look at the content that will be covered in the R series.
Show Slide Installing R and RStudio	These two tutorials will teach how to install R and RStudio on Linux and Windows OS. Installing R and RStudio on Linux. Installing R and RStudio on Windows.
Show Slide Basics of R and RStudio	These five tutorials will cover the basics of R, Data Frames in R and RStudio. Introduction to basics of R. Introduction to Data Frames in R Introduction to RStudio Introduction to R script Working directories in RStudio
Show Slide Basics of data frames and lists	We’ll also learn how to store and analyze our Data Frames. These three tutorials and the next three tutorials will teach the basics of using Data frames and lists. Indexing and Slicing Data Frames Creating Matrices using Data Frames Operations on Matrices and Data Frames
Show Slide Basics of data frames and lists	Merging and Importing Data Data types and Factors Lists and its Operations
Show Slide Visualizing data using plots	Next, we will learn how to visualize our data using simple plots and charts. These two tutorials will teach how to draw histograms, pie charts, bar charts, etc. Plotting Histograms and Pie Chart Plotting Bar Charts and Scatter Plot
Show Slide Customizing plots using ggplot2	After this, we will see how to customize our plots using the ggplot2 package. These two tutorials will teach how to use the functions available in the ggplot2 package. Introduction to ggplot2 Aesthetic Mapping in ggplot2
Show Slide Manipulating data using dplyr	Then we will learn how to manipulate our data using the dplyr package and pipe operator. These three tutorials will teach how to use the dplyr package and pipe operator. Data Manipulation using dplyr Package More functions in the dplyr Package Pipe Operator
Show Slide Using conditional statements	At last, we will learn how to use conditional statements in R and to create user-defined functions. Conditional Statements Functions in R
Show Slide Advanced Level Topics	Later on, we may add a few more advanced level topics in this series. Please visit this series at regular intervals for the latest updates.
	This completes the overview of spoken tutorials on the R series.
	Let us summarize.
Show slide Summary	In this tutorial, we have learned About R programming language Applications of R About RStudio and Topics covered in this series
Show slide About the Spoken Tutorial Project	The video at the following link summarises the Spoken Tutorial project. Please download and watch it.
Show slide Spoken Tutorial Workshops	We conduct workshops using Spoken Tutorials and give certificates. Please contact us.
Show Slide Spoken Tutorial Forum to answer questions	Do you have questions in THIS Spoken Tutorial? Please visit this site. Choose the minute and second where you have the question. Explain your question briefly. Someone from the FOSSEE team will answer them.
Show Slide Spoken Tutorial Forum for specific questions:	The Spoken Tutorial forum is for specific questions on this tutorial. Please do not post unrelated and general questions on them. This will help reduce the clutter. With less clutter, we can use these discussions as instructional material.
Show Slide Forum to answer questions	Do you have any general/technical questions? Please visit the forum given in the link.
Show Slide Textbook Companion	The FOSSEE team coordinates the coding of solved examples of popular books. We give honorarium and certificates to those who do this. For more details, please visit these sites.
Show Slide Acknowledgment	The Spoken Tutorial project is funded by NMEICT, MHRD, Govt. of India
Show Slide Thank You	This tutorial is contributed by Sudhakar Kumar and Madhuri Ganapathi from IIT Bombay. Thank you for watching.

Contributors and Content Editors

Madhurig, Nancyvarkey, Sudhakarst