R/C2/Plotting-Bar-Charts-and-Scatter-Plot/English

Title of the script: Plotting Bar Charts and Scatter Plots

Author: Tushar Bajaj (TISS Mumbai) and Sudhakar Kumar (IIT Bombay)

Keywords: R, RStudio, graphs, bar chart, labels, scatter plot, correlation, video tutorial, spoken tutorial

Visual Cue	Narration
Show slide Opening slide	Welcome to this tutorial on Plotting bar charts and scatter plot.
Show slide Learning Objectives	In this tutorial, we will learn how to: Plot bar charts Plot scatter plot Find the correlation coefficient between two objects.
Show slide Pre-requisites https://spoken-tutorial.org	To understand this tutorial, you should know, Data frames in R Basics of Statistics If not, please locate the relevant tutorials R on this website.
Show slide System Specifications	This tutorial is recorded on Ubuntu Linux OS version 16.04 R version 3.4.4 RStudio version 1.1.463 Install R version 3.2.0 or higher.
Show slide Download Files	For this tutorial, we will use A data frame moviesData.csv A script file barPlots.R. Please download these files from the Code files link of this tutorial.
Point to the files in the Plots folder. Highlight moviesData.csv and barPlots.R in the folder Plots	I have downloaded and moved these files to Plots folder. This folder is located in myProject folder on my Desktop. I have also set Plots folder as my Working Directory.
cursor on the interface.	Let us switch to Rstudio.
Highlight barPlots.R in the Files window of RStudio	Open the script barPlots.R in RStudio.
Highlight the Source button	Run this script by clicking on Source button.
Highlight movies in the Source window	movies data frame opens in the Source window.
Highlight dim(movies) in the Console window	It has 600 observations of 31 variables.
Highlight the scroll bar in the Source window	In the Source window, scroll from left to right. This will enable us to see the remaining objects of movies data frame.
Highlight imdb_rating in the Source window	Now, we will learn how to draw a bar chart of the object named imdb underscore rating in movies.
Show slide Bar Chart	A bar chart represents data in rectangular bars with length of the bar proportional to the value of the variable. R uses the function barplot to create bar charts.
	Let us switch to RStudio.
Highlight movies in the Source window.	For the sake of simplicity, we are considering only the first 20 observations of movies to draw a bar chart.
Highlight barPlots.R in the Source window	Click on the script barPlots.R
Cursor on the interface. [Rstudio] moviesSub <- movies[1:20,]	In the Source window, type the following command. Save the script and run the current line by pressing Ctrl + Enter keys simultaneously.
Drag the boundary to resize the window.	Let me resize the Source window.
Highlight moviesSub in the Environment window.	moviesSub with 20 observations is loaded in the Environment. Now, we draw a bar chart of imdb_rating for these movies.
Cursor in the Source window. [RStudio] barplot(moviesSub$imdb_rating, ylab="IMDB Rating", xlab = "Movies", col="blue", ylim=c(0,10), main="Movies' IMDB Rating")	In the Source window, type the following command.
Highlight barplot in the Source window	Here, we have used the following arguments: moviesSub dollar sign imdb underscore rating is the data for plotting ylab and xlab for adding labels to the respective axes. col to set the color of bins ylim to set the range of values on Y-axis main for adding a title to the bar chart.
Highlight Run button in the Source window.	Run the current line.
Highlight the plot in the Plots window	The bar chart is displayed with Movies on X-axis and their imdb_rating on Y-axis.
Highlight Files and Plots window	In the Plots window, click on Zoom to maximize the plot.
Highlight the first bar in the plot	This particular movie has an IMDB rating of approximately 6.
Highlight the third bar in the plot	Similarly, this particular movie has an IMDB rating of approximately 8. However, we do not know the name of the movies.
Cursor on the plot window.	So, we will add more arguments in barplot function to show the names of movies on X-axis.
Click on the Close button.	Close this plot.
[RStudio] barplot(moviesSub$imdb_rating, ylab="IMDB Rating", col="blue", ylim=c(0,10), main="Movies' IMDB Rating", names.arg=moviesSub$title)	In the Source window, type the following command.
Highlight names.arg in the Source window	Here, we have used the argument names.arg and set it to title. Remember, title column in moviesSub contains the names of movies.
Highlight Run button in the Source window.	Run the current line.
Highlight Files and Plots window	In the Plots window, click on Zoom to maximize the plot.
Highlight X-axis of the plot	Now, the names of movies are displayed on the X-axis. But not for all movies. This is due to the point that the names are too long to be accommodated. That’s why, we will make these names perpendicular to X-axis.
Click on the Close button.	Close this plot.
[RStudio] barplot(moviesSub$imdb_rating, ylab="IMDB Rating", col="blue", ylim=c(0,10), main="Movies' IMDB Rating", names.arg=moviesSub$title, las = 2)	In the Source window, type the following command.
Highlight las in the Source window	Here, we have used las argument. las equal to 2 produces labels which are at right angles to the axis.
Highlight Run button in the Source window	Run the current line.
Highlight Files and Plots window.	In the Plots window, click on Zoom to maximize the plot.
Highlight the plot in the Plots window	Now the names for all the movies are displayed on X-axis. For example, Filly Brown has an IMDB rating of approximately 6.
Highlight the plot in the Plots window	However, longer names are being truncated. We can add more arguments to barplot function for adjusting labels. For more information, please refer to the Additional Material section on this website.
click on the Close button.	Close this plot.
Highlight movies in the Source window	In the Source window, click on movies.
Highlight imdb_rating and audience_score in the Source window	Let us analyze the relation between imdb underscore rating and audience underscore score. For this, we will draw a scatter plot with these two objects by using plot function. Remember, we have already learnt how to plot a single object.
Show Slide Scatter Plot	Scatter plot is a graph in which the values of two variables are plotted along two axes. The pattern of the resulting points reveals the correlation.
	Let us switch to RStudio.
Highlight barPlots.R in the Source window	In the Source window, click on the script barPlots.R
[RStudio] plot(x = movies$imdb_rating, y = movies$audience_score, main = "IMDB Rating vs Audience Score", xlab = "IMDB Rating", ylab = "Audience Score", xlim = c(0,10), ylim = c(0,100), col = "blue")	In the Source window, type the following command.
Highlight plot function in the Source window	Here, we have kept imdb underscore rating on the X-axis and audience underscore score on the Y-axis.
Highlight xlim in the Source window	As imdb underscore rating of any movie varies between 0 and 10, we have set the range of values on X-axis from 0 to 10.
Highlight ylim in the Source window	Similarly, we have set the range of values on Y-axis from 0 to 100.
Highlight Run button in the Source window	Save the script and run the current line.
Highlight Files and Plots window	In the Plots window, click on Zoom to maximize the plot.
Highlight the plot in the Plots window	We can observe that the movies having higher imdb underscore rating has a high audience underscore score.
Click on the close button.	Close this plot.
Cursor on the interface.	Now we will learn how to calculate the correlation coefficient between imdb underscore rating and audience underscore score. For this, we use cor function.
[RStudio] cor(movies$imdb_rating, movies$audience_score)	In the Source window, type the following command.
Highlight Run button in the Source window	Save the script and run the current line.
Highlight the output in the Console window	The correlation coefficient between imdb underscore rating and audience underscore score is evaluated as 0.865.
Highlight the output in the Console window	The value of correlation coefficient is always between -1 and +1. A positive value indicates that the variables are positively related.
	Let us summarize what we have learnt.
Show slide Summary	In this tutorial, we have learnt how to: Plot bar charts Plot scatter plot Find the correlation coefficient between two objects
Show slide Assignment	We now suggest an assignment. Read the file moviesData.csv. Create a bar chart of critics underscore score for the first 10 movies. Create a scatter plot of imdb underscore rating and imdb underscore num underscore votes to see their relation. Save both the plots.
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 Forum to answer questions	Please post your timed queries in this forum.
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Show Slide Acknowledgment	The Spoken Tutorial project is funded by NMEICT, MHRD, Govt. of India
Show Slide Thank You	The script for this tutorial was contributed by Tushar Bajaj (TISS Mumbai). This is Sudhakar Kumar from IIT Bombay signing off. Thanks for watching.

Contributors and Content Editors

Madhurig, Nancyvarkey, Sudhakarst