Description
Picking the Data Set
Look into the following sites as an example and select a data set that interests you.
1. https://www.kaggle.com/datasets
2. https://www.kdnuggets.com/datasets/index.html
3. Any other source of your choice
Preparing the data
• Import the data set into R.
• Document the steps for the import process and any preprocessing had
to be done prior to or after the import. Any R code used in the process
should be included.
Analyzing the data
• Do the analysis as in Module3 for at least one categorical variable and at least one
numerical variable. Show appropriate plots for your data.
• Do the analysis as in Module3 for at least one set of two or more variables. Show
appropriate plots for your data.
• Pick one variable with numerical data and examine the distribution of the data.
• Draw various random samples of the data and show the applicability of the
Central Limit Theorem for this variable.
• Show how various sampling methods can be used on your data. What are your
conclusions if these samples are used instead of the whole dataset.
Presenting the Project
• You will do your project presentation in the classroom.
• Each presentation is for at most 10 minutes.
• The final files for the project will be due on Monday, June 25, 6 AM.
Submitting the Project
Upload a zip file (CS544Final_lastName.zip) containing all the code (R file), the
presentation document (PDF or PPT), and all the results in a Word/PDF Document.
Grading Rubric:
• Preparing the data and documenting the data preparation (10 points)
• Analyzing the data and documenting the same (60 points)
• Implementation of any extra feature(s) not mentioned in the specification
(10 points)
• Presenting the project in the classroom (20 points)