Graphing project in R programming language

Use R to create a portfolio containing one of each of the following six types of graphs.

1. A histogram of a data set. Overlay on the graph a curve that shows the distribution you expect the
2. data set to follow.
3. A scatter plot showing multiple samples, distinguished by color.
4. A box-and-whisker plot that compares multiple samples.
5. A time-series graph showing multiple data series.
6. A bar graph. Include relative frequencies above each of the bars.
7. Have fun with this graph. Explore the possibilities.

Requirements for the technical graphs (Graphs 1 - 5)

You will need data sets for these 5 graphs. At least 2 must be obtained through simulation, and at

least 2 from another source. Use at least one data frame. In addition, each graph should have appropriate

title and axis labels.

Some sources of data sets: You are encouraged to find your own sources of data, for example, from

another of your courses. However, the following are available:

• Type data() into R Studio for a list of preloaded data sets. Documentation can be found through
• the help menu.
• Excel spreadsheets provided by Triola’s statistics textbook publisher can be found here:
• https://www.triolastats.com/es13-datasets

• Overall Requirement Your portfolio should feature at least 10 of the following functions and parameters.
• par()
• cex
• points()
• col
• lines()
• type
• abline()
• pch
• arrows()
• lwd
• text()
• lty
• polygon()
• bg
• legend()
• fg

• Submitting your portfolio. Turn in each of the following:
• a .R file containing all R code used to create your graphs. Your file should also contain the code used
• to perform your simulations. (Please organize your work with appropriate comments throughout.)
• a .pdf with images of your graphs and a short caption for each.
• any data sets not included in your R code that are from sources other than the two listed above.