Assignment

The R programming language is an extremely popular data science language for exploring, preparing, modeling, and evaluating data sets. Being able to program in R is a major asset in your data analytics skill toolbox.

In this assignment, we will use R Studio and R to explore, statistically and visually, the built-in Iris data set.

To prepare for this Critical Thinking Assignment:

Review the module's interactive lecture and its references.

Download and install R. Detailed instructions are provided in the document: R-Installation-Instructions

Note that R must be installed to use RStudio.

Download and install R Studio. Detailed instructions are provided in the document RStudio-Installation-Instructions

Note that R must be installed to use RStudio.

To complete this Critical Thinking Assignment:

Step 1:

Display the first six rows of the built-in Iris data set.

Your R code should be well commented on and well organized to explain what the code does.

Take screenshots to demonstrate successful completion of our work. The screenshot should show our well-commented R code, and the statistics test results we obtained. The screenshot should have the current date and time.

Step 2:

Display summary statistics for all attributes (columns) of the Iris data set.

Our R code should be well commented on and well organized to explain what the code does.

Take screenshots to demonstrate successful completion of our work. The screenshot should show our well-commented R code, and the statistics test results WE obtained. The screenshot should have the current date and time.

Step 3:

Select any two attributes of the Iris data set.

For each of our two selected attributes display: The statistical mean, median, and range of the attribute.

The visual diagram of histogram and boxplot (box and whisker plot) of the attribute.

Our R code should be well commented on and well organized to explain what the code does.

Take screenshots to demonstrate successful completion of our work. The screenshot should show our well-commented R code and the statistics test results, including the visuals we obtained. The screenshot should have the current date and time.

Step 4:

For the same two attributes of the Iris data set that we selected in step 3, display the correlation between these two attributes:

Statistically via a correlation number.

Visually via a scatterplot diagram.

Our R code should be well commented on and well organized to explain what the code does.

Take screenshots to demonstrate successful completion of our work. The screenshot should show us well-commented R code and the statistics test results including visual tests we obtained. The screenshot should have the current date and time.

Step 5:

Summarize our work on this assignment as follows:

Interpret the statistics test results including the visual test results we obtained from our work. Interpretation of statistics test results should be relevant and accurate.