(This article was first published on

**Software for Exploratory Data Analysis and Statistical Modelling**, and kindly contributed to R-bloggers)There are various ways to plot data that is represented by a time series in **R**. The **ggplot2** package has scales that can handle dates reasonably easily.

Fast Tube by Casper

As an example consider a data set on the number of views of the you tube channel ramstatvid. A short snippet of the data is shown here:

> head(yt.views) Date Views 1 2010-05-17 13 2 2010-05-18 11 3 2010-05-19 4 4 2010-05-20 2 5 2010-05-21 23 6 2010-05-22 26

The **ggplot** function is used by specifying a data frame and the **aes** maps the **Date** to the x-axis and the number of **Views** to the y-axis.

ggplot(yt.views, aes(Date, Views)) + geom_line() + scale_x_date(format = "%b-%Y") + xlab("") + ylab("Daily Views")

The axis labels for the **Date** variable are created with the **scale_x_date** function where the format is specified as a Month/Year combination with the **%b** and **%Y** formatting strings. The graph that is produced is shown here:

Other useful resources are provided on the Supplementary Material page.

To

**leave a comment**for the author, please follow the link and comment on their blog:**Software for Exploratory Data Analysis and Statistical Modelling**.R-bloggers.com offers

**daily e-mail updates**about R news and tutorials on topics such as: Data science, Big Data, R jobs, visualization (ggplot2, Boxplots, maps, animation), programming (RStudio, Sweave, LaTeX, SQL, Eclipse, git, hadoop, Web Scraping) statistics (regression, PCA, time series, trading) and more...