O'Reilly logo

R Data Analysis Cookbook - Second Edition by Kuntal Ganguly

Stay ahead with the world's most comprehensive technology and business learning platform.

With Safari, you learn the way you learn best. Get unlimited access to videos, live online training, learning paths, books, tutorials, and more.

Start Free Trial

No credit card required

How to do it...

  1. Read the file. We will use a data file that has the share prices of Walmart (downloaded from Yahoo Finance) between March 11, 1999 and January 15, 2015:
> wm <- read.csv("walmart.csv") 
  1. View the data as a line chart:
> plot(wm$Adj.Close, type = "l") 

The data can be viewed as a line chart as follows:

  1. Compute and plot daily price movements:
> d <- diff(wm$Adj.Close) 
> plot(d, type = "l") 

The plotted daily price movements appear as follows:

  1. Generate a histogram of the daily price changes along with a density plot:
> hist(d, ...

With Safari, you learn the way you learn best. Get unlimited access to videos, live online training, learning paths, books, interactive tutorials, and more.

Start Free Trial

No credit card required