Midterm Project Workflow

STAT 218 - Week 6, Lecture 1

February 12^th, 2024

Midterm Project Guideline

The aim of the project

• The overarching goal of the projects in this course is to empower life science students by cultivating a profound sense of agency.
• This involves
  • actively engaging with the learning process,
  • making informed decisions, and
  • taking ownership of your academic journey.
• Through the selection of your unique data set, you will have the opportunity to construct
  • a personalized case study,
  • formulate research questions,
  • employ diverse statistical procedures, and
  • effectively communicate your findings.

Important Deadlines

• Your midterm project deadline is extended to Feb 29, but you can upload earlier if you’d like (please refresh your course webpage).

• Important Deadlines:

  • Choosing a Dataset (due: Feb 18)
  • Determining Variables (due: Feb 20)
  • Meeting with Dr. Demirci at least once, preferably during office hours (by appointment between Feb 19- Feb 28)
  • Uploading the midterm project (due: Feb 29)

Workflow of This Week

Choosing Your Data Set for the Midterm Project - I

• Midterm template and necessary files are available on Canvas as a separate module.

• For the midterm project, you will select your own dataset from OpenIntro Data Sets or another suitable source.

• If your group members share the same major, it’s recommended to choose a dataset related to your field of study.

Important

You should decide on your dataset this week and upload it to Canvas by Feb 18.

STEPS TO DECIDE YOUR DATA SET

• Select a data set from either:
  • OpenIntro Data Sets
  • Anywhere else on the web (but it might require more data wrangling). Some examples include:
    • United States Environmental Protection Agency
    • U.S. Government’s Open Data
    • Gapminder

Choosing Your Data Set for the Midterm Project - II

Follow these steps FOR THIS WEEK (DUE FEB 18).

If your data is coming from OpenIntro Data Sets:

library(tidyverse)
library(openintro)
data(datasetname) # Put your dataset name here
glimpse(datasetname) # Put your dataset name here

If your data is coming from anywhere else on the web:

• Download your data as a CSV file.
• Load your data as follows:

library(tidyverse)
library(openintro)
midtermdata <- read_csv("data-set-name.csv")

UPLOAD THIS PART OF YOUR PROJECT BY THE END OF THIS WEEK!

Choosing Your Variables

Consider the following criteria while selecting your data set:

• Include at least 2 Numeric Variables.
• Have at least 2 Categorical Variables with only 2 groups each.
• Include at least 1 Categorical Variable with more than 3 groups.