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: M, 10:10AM - 11:00AM , Hanes 107, Sumit
    • 320.401: F, 2:30PM - 3:20PM , Hanes 107, Sumit
    • 320.402: T, 2:00PM - 2:50PM , New East 107, Sumit
    • 320.403: W, 11:00AM - 11:50AM , Hanes 107, Sumit
    • 320.404: W, 4:40PM - 5:30PM , Hanes 107, Coleman
    • 320.405: Th, 2:00PM - 2:50PM , Dey 306, Coleman
    • 320.406: F, 8:00AM - 8:50AM , Hanes 107, Coleman
    • 320.407: M, 4:40PM - 5:30PM , Hanes 107, Anna

  • Office Hours:

    • Dr. Mario for 320.001
      • M, 2:30PM - 3:30PM, Hanes 134
      • W, 3:30PM - 4:30PM, Hanes 134
    • Dr. Mario for 320.002
      • M, 3:30PM - 4:30PM, Hanes 134
      • W, 2:30PM - 3:30PM, Hanes 134
    • Sumit: M, 12:00PM - 1:00PM, Zoom
    • Coleman: Th, 12:30PM - 1:30PM, Hanes B-07
    • Anna: T, 4:00PM - 6:00PM, Hanes B-30

  • 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 8 Introduction Slides No Labs this Week
Jan 10 Data Visualization Slides Preview(.zip)
Jan 13 Data Visualization (Cont.) Slides Preview(.zip)
Workflow in RMarkdown Slides
Jan 15 Workflow in RMarkdown (Cont.) Slides
Data Transformation I Slides
Jan 17 Data Transformation I (Cont.) Slides
Data Transformation II Slides
Jan 20 MLK No Labs this Week
Jan 22 Data Transformation II (Cont.) Slides
Data Transformation III Slides
Jan 24 Data Transformation IV Slides
Jan 27 Exploratory Data Analysis I Slides
Jan 29 Exploratory Data Analysis II Slides
Jan 31 Final Project I Slides
Feb 3 Data Import Slides
Feb 5 Tidy Data 1 Slides
Feb 7 Tidy Data 2 Slides
Feb 10 Well-Being Day No Labs this Week
Feb 12 Web Scraping Slides Preview(.zip)
Feb 14 Joins I Slides
Feb 17 Joins II Slides
Feb 19 Factors Slides
Feb 21 Programming I Slides Preview(.zip)
Feb 24 Programming II Slides Preview(.zip)
Feb 26 Programming III Slides
Feb 28 Final Project II Slides
Mar 3 Midterm 1
Mar 5 Modeling 1 Slides
Mar 7 Modeling 2 Slides Preview(.zip)
Mar 10 Spring Break No Class & No Labs this Week
Mar 12 Spring Break No Class & No Labs this Week
Mar 14 Spring Break No Class & No Labs this Week
Mar 17 Gerhard Ungerer Random Bit LLC
Mar 19 Modeling 3 Slides Preview(.zip)
Mar 21 Modeling 4 Slides Preview(.zip)
Mar 24 Modeling 5 Slides
Mar 26 Modeling 6 Slides
Mar 28 Modeling 7 Slides Preview(.zip)
Mar 31 Modeling 8 Slides Preview(.zip)
Apr 2 Modeling 9 Slides Preview(.zip)
Apr 4 R Shiny Slides Preview(.zip)
Apr 18 Well-Being Day No Labs this Week
Apr 21 Midterm 2
Apr 28 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 10 HW1(.zip) Jan 17 (5:00 PM)
Jan 13 L1(.zip) Jan 20 (10 AM)
Jan 17 HW2(.zip) Jan 24 (5:00 PM)
Jan 24 A1(.zip) Feb 7 (5:00 PM)
Jan 27 L2(.zip) Feb 3 (10 AM)
Feb 3 L3(.zip) Feb 17 (10:00 AM)
Feb 7 HW3(.zip) Feb 14 (5:00 PM)
Feb 14 HW4(.zip) Feb 21 (5:00 PM)
Feb 17 L4(.zip) Feb 24 (10:00 AM)
Feb 21 A2(.zip) Feb 28 (5:00 PM)
Feb 24 L5(.zip) Mar 3 (10:00 AM)
Feb 28 HW5(.zip) Mar 7 (5:00 PM)
Mar 3 M1 Mar 3 (Class)
Mar 3 L6(.zip) Mar 17 (10:00 AM)
Mar 7 A3(.zip) Mar 21 (5:00 PM)
Mar 17 L7(.zip) Mar 24 (10:00 AM)
Mar 21 HW6(.zip) Mar 28 (5:00 PM)
Mar 24 L8(.zip) Mar 31 (10:00 AM)
Mar 28 HW7(.zip) Apr 4 (5:00 PM)
Mar 31 L9(.zip) Apr 7 (10:00 AM)
Apr 4 A4(.zip) Apr 18 (5:00 PM)
Apr 7 L10(.zip) Apr 21 (10:00 AM)
Apr 21 M2 Apr 21 (Class)
Apr 21 L11(.zip) Apr 28 (10:00 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 14 (11:59PM)
P2 Exploratory Data Analysis Meeting + Canvas Survey 2 Mar 21 (11:59PM)
P3 Final Written Paper Canvas Survey 3 Apr 28 (11:59PM)
P4 Final Presentation (Section 1) Canvas + Class Survey 4 May 8 (12:00PM)
P4 Final Presentation (Section 2) Canvas + Class Survey 4 May 5 (4:00PM)

Above Average Final Projects