Need help with this. Needs to be done in R language. Insert screenshots and explanation for better understanding. Thank you.

. (9 points) Find a dataset with at least one continuous numeric variable for this analysis (or a count variable with a very large number of possible values) and store the data in a comma separated le with a .txt extension. 0 The dataset should have at least 100 observations. 0 You will submit your text le as part of your submission. . (10 points) Use as.data.frame and read.csv (or other method) to import your data into R as a data frame. Verify your data carefully and print a small portion of the data in your output. . (36 points) Calculate and display the mean, standard deviation, min, Q1, median, Q3, max, IQR, and range for your chosen variable. Be sure your results are clearly labeled (either by R or by manually editing your output). . Create the following graphs: A. (15 points) Stem-and-leaf display (with no combined stems - the stems should show each unit, adjust the scale setting until this is achieved). This will be part of your text output. B. (15 points) Histogram with appropriate labels. C. (15 points) Boxplot with appropriate labels