Development of basic skill set for data analysis from obtaining data to data carpentry, exploration, modeling, and communication. Topics covered include regression, clustering, classification, algorithmic thinking, and non-standard data objects (networks and text data).

  • Instructor: Mario Giacomazzo

  • Lab Instructors:

  • Course Syllabus:

  • Lab Sections:

    • 320.400: W, 9AM - 9:50AM, Hanes 107, Anna
    • 320.401: M, 11AM - 11:50AM, Hanes 107, Coleman
    • 320.402: T, 2PM - 2:50PM, Hanes 107, Anna
    • 320.403: W, 5PM - 5:50PM, Hanes 107, Coleman
    • 320.404: F, 9AM - 9:50AM, Hanes 107, Coleman
    • 320.405: Th, 11AM - 11:50AM, Hanes 107, Andrew
    • 320.406: F, 2PM - 2:50PM, Hanes 107, Andrew
    • 320.407: M, 5PM - 5:50PM, Hanes 107, Anna

  • Office Hours:

    • Dr. Mario: W, 9AM - 11AM/12PM - 2PM, Hanes 134
    • Anna: T, 12:30PM - 1:30PM, Hanes B-30
    • Coleman: F, 10AM - 11AM, Hanes B-07
    • Andrew: Th, 12PM - 1PM, Hanes B-01

  • Attendance: UNC Check-in App

  • University Approved Absences: Online Form

  • Textbook: R For Data Science (R4DS)

Complete Before First Day

  • Bookmark this course website in your browser
  • Get familiar with the course website and Canvas
  • View the syllabus using the hyperlink on the course website
  • Download the UNC Check-in App on your Mobile Phone
  • Install R and R Studio to your laptop
  • Read Introduction in R4DS
  • Bring your laptop and mobile phone to class

Course Material

Date Lecture Slides Supplement
Jan 11 Introduction Slides No Labs this Week
Jan 16 Data Visualization Slides Preview(.zip)
Jan 15 MLK No Labs this Week
Jan 18 Workflow in RMarkdown Slides
Data Transformation I Slides
Jan 23 Data Transformation I (Cont.) Slides
Data Transformation II Slides
Data Transformation III Slides
Jan 25 Data Transformation III (Cont.) Slides
Data Transformation IV Slides
Jan 30 Exploratory Data Analysis I Slides
Exploratory Data Analysis II Slides
Feb 1 Final Project I Slides
Data Import Slides
Feb 6 Data Import (Cont.) Slides
Tidy Data 1 Slides
Feb 8 Tidy Data 2 Slides
Web Scraping Slides Preview(.zip)
Feb 13 Well-Being No Class & No Labs this Week
Feb 15 Web Scraping (Cont.) Slides Preview(.zip)
Feb 20 Joins I Slides
Joins II Slides
Feb 22 Midterm 1
Feb 27 Factors Slides
Feb 29 Programming I Slides Preview(.zip)
Mar 5 Programming II Slides Preview(.zip)
Mar 7 Programming III Slides
Mar 12 Spring Break No Class & No Labs this Week
Mar 14 Spring Break No Class & No Labs this Week
Mar 19 Final Project II Slides
Modeling 1 Slides
Mar 21 Modeling 1 (Cont.) Slides
Modeling 2 Slides Preview(.zip)
Mar 26 Modeling 2 (Cont.) Slides Preview(.zip)
Modeling 3 Slides Preview(.zip)
Mar 28 Well-Being No Class & No Labs this Week
Apr 2 Modeling 3 (Cont.) Slides Preview(.zip)
Modeling 4 Slides Preview(.zip)
Apr 4 Midterm 2
Apr 9 Modeling 4 (Cont.) Slides Preview(.zip)
Apr 11 Modeling 5 Slides
Apr 16 Modeling 6 Slides
Apr 18 Modeling 7 Slides Preview(.zip)
Apr 23 Modeling 8 Slides Preview(.zip)
Modeling 9 Slides Preview(.zip)
Apr 25 R Shiny Slides Preview(.zip)
Apr 30 Work on Project No Class & No Labs this Week

Assignment Tracker

All HW, Lab, and Analysis assignments are to be submitted via Canvas. Unzip folder and complete your homework using Rmd file. Midterms will be taken on paper in class. The table below shows all the assignments sorted by the assigned date.

Assigned Lab (L) Homework (HW) Analysis (A) Midterm (M) Due
Jan 12 HW1(.zip) Jan 19 (5:00 PM)
Jan 19 HW2(.zip) Jan 26 (5:00 PM)
Jan 22 L1(.zip) Jan 29 (11 AM)
Jan 29 L2(.zip) Feb 5 (11:00 AM)
Jan 26 A1(.zip) Feb 6 (5:00 PM)
Feb 2 HW3(.zip) Feb 9 (5:00 PM)
Feb 5 L3(.zip) Feb 19 (11:00 AM)
Feb 9 HW4(.zip) Feb 16 (5:00 PM)
Feb 16 A2(.zip) Mar 1 (5:00 PM)
Feb 19 L4(.zip) Feb 26 (11:00 AM)
Feb 22 M1 Feb 22 (Class)
Feb 26 L5(.zip) Mar 4 (11:00 AM)
Mar 1 HW5(.zip) Mar 8 (5:00 PM)
Mar 4 L6(.zip) Mar 18 (11:00 AM)
Mar 8 A3(.zip) Mar 26 (5:00 PM)
Mar 18 L7(.zip) Apr 1 (11:00 AM)
Mar 22 HW6(.zip) Apr 5 (5:00 PM)
Apr 1 L8(.zip) Apr 8 (11:00 AM)
Apr 5 HW7(.zip) Apr 12 (5:00 PM)
Apr 4 M2 Apr 4 (Class)
Apr 5 A4(.zip) Apr 19 (5:00 PM)
Apr 8 L9(.zip) Apr 17 (11:00 AM)
Apr 15 L10(.zip) Apr 22 (11:00 AM)
Apr 22 L11(.zip) Apr 29 (11:00 AM)

Final Project Details

Group Assignments

For the final project, students in STOR 320 will be divided into research groups of size 5 or 6. To ensure fairness, students will be assigned randomly. Also, I will try to ensure that all students in your group are in your lab section.

Section 1

If you are in Section 1 and want to find your research group, see the table below:

Section 2

If you are in Section 2 and want to find your research group, see the table below:

Four Roles

Although everyone is responsible for the entire project, each member of the group will be assigned a specific role for accountability and consistency. These four specific roles are described as follows:

  • The Creator: Schedule and Meet with Dr. Mario to Propose Your Group’s Research Idea, Lead Designer in Slides

  • The Interpreter(s): Schedule and Meet with Dr. Mario to Share Findings from Exploratory Analysis, Evaluate Practice Presentation

  • The Orator(s): Give a Captivating 3-5 Minute Slideshow Presentation During Final Exam Day

  • The Deliverer: Deliver Assignments to Canvas, Polished and On-time

Four Parts Including Point Values

This final project will be divided into four parts worth a total of 100 points. Each part will have a clear rubric as non-subjective as possible. The parts along with total point values are found below:

Due Dates of Individual Parts

Part Description Method of Submission Involvement Survey Due Date (Time)
P1 Project Proposal Meeting + Canvas Survey 1 Feb 15 (11:59PM)
P2 Exploratory Data Analysis Meeting + Canvas Survey 2 Mar 19 (11:59PM)
P3 Final Written Paper Canvas Survey 3 Apr 30 (11:59PM)
P4 Final Presentation (Section 1) Canvas + Class Survey 4 May 9 (8:00AM)
P4 Final Presentation (Section 2) Canvas + Class Survey 4 May 10 (8:00AM)

Above Average Final Projects