Data in the Wild, Lewis & Clark
  1. Modules
  • Data in the wild
  • Using this content
  • Modules
  • Content

On this page

  • Module 1
    • Module 1.1
    • Module 1.2

Modules

Module 1

Week Overviews
Week 1: Introduction to Course – meet the team, understand the mission.
Weeks 2–4: We're in Antarctica!
Practice:
  • Exploring and summarizing data about our new colleagues
  • Exploring weather station data
  • Learning R and RStudio, basic data manipulation
Antarctica Narrative
We start en route to Antarctica! Students took a survey to get to know teammates and pick a mascot. We study weather data from Antarctic research stations and use the Palmer Penguin dataset for practice.

Module 1.1

Concepts
  • What is data science and how does it interact with daily life?
  • What is RStudio and how to navigate it
  • Assigning variables
Week Schedule
  • 🗓️ Day 1: Welcome! Survey completed. Data to be used in Week 2.
  • Day 2: Discussion on data science and society; reflection prompt.
  • Day 3: Used welcome.Rmd in class for basic RStudio, arithmetic, and variable assignment.

Module 1.2

Concepts
  • Assigning variables
  • Creating vectors
  • Functions & arguments
  • Loading data from CSV
  • Creating vectors from data columns
  • Calculating mean, median, standard deviation
Week Schedule
  • Day 1: Labor Day – No class
  • Day 2: Code-along with introToR.Rmd. Topics: variables, camel case, loading data, central tendency.
    Homework: problemSet1.Rmd
  • Day 3: Group work on penguinPractice1.Rmd in Watzek Library – great collaboration!
Description
Short week due to Labor Day. Code-along and group practice helped reinforce new skills.