Calendar

ENV 872 - EDA | Spring 2024 | Instructors: Luana Lima, John Fay |

NOTE:

Recorded exercises should be completed prior to the in-person sessions.

Assignments are released at end of the day on Thursday and are due the following Tuesday at 11:59pm. Late assignments are penalized 5% per day.

Dates	Module	Recorded Topics (Tue/Wed)	In-Person (Thurs)	AssignmentIFri-Mon)
Jan 9-15	1-Course Setup & Intro		Introductions	A01 - Knit & Submit Rmarkdown
			Course Objectives
			Course Expectations
			Course Logistics
Jan 16-22	2-Coding Basics	2.1 Intro to Rmarkdown and Knitting	Q&A on class setup/intro to data analytics	A02 - Coding basics in R
		2.2 Coding basics in R	Group discussion: Role of Data in Env. Research
		2.3 Basic data structures in R	Exercise: Navigating Rstudio
		2.4 Extending R with packages	Exercise: Introduction to DataFrames
Jan 23-29	3-Data Exploration	3.1 Data and the Data Science Workflow	Q&A on recordings	A03 - Data Exploration
		3.2 Getting to know your data	Exercise: Creating vectors, matrics, lists, dataframes
		3.3 Working with raw data in Rstudio	Coding challenge: working with vectors and dataframes
		3.4 Working with dates
		3.5 Generating data summaries
		3.6 Visualizing data summaries (ggplot)
Jan 30-Feb 5	4-Data Wrangling	4.1 Tidy data and the tidyverse	Q&A on recordings	A04 - Data Wrangling
		4.2 dplyr functions: filter, select, arrange, mutate; pipes	Coding challenge: Wrangling a dataset
		4.3 Pivoting data
		4.4 Grouping and summarizing data
		4.5 Merging and joining dataframes
		4.6 Saving dataframes to disk
Feb 6-12	5-Data Visualization	5.1 The grammer of graphics and principles of data visualization	Q&A on recordings	A05 - Data visualization
		5.2 Scatterplots & Box plots
		5.3 Violin plots & Frequency Polygons
		5.4 Themes, additional geoms, axes labels
		5.5 Color palettes; multiple plots; saving plots
Feb 13-19	6-Crafting Reports	6.1.1 Crafting Reports: R, R Studio and R Markdown	Q&A on recordings	A06 - Crafting Reports & Dashboards
		6.1.2 Crafting Reports: Working with YAML
		6.1.3 Crafting Reports: The Knitting Process
		6.1.4 Crafting Reports: Working with Code Chunks
		6.1.5 Crafting Reports: Working with Figures
		6.1.6 Crafting Reports: Working with Markdown
		6.1.7 Crafting Reports: Tables with Kable
		6.1.8 Crafting Reports: Cleaning up for Knitting
		6.2.1 Interactive Rmarkdown: Writing plotting code using variables
		6.2.2 Interactive Rmarkdown: Introducing Widgets
		6.2.3 Interactive Rmarkdown: Plotting with Interactive Widgets
		6.2.4 Dashboards: What is a data dashboard
		6.2.5 Dashboards: Anatomy of an R/Shiny dashboard
Feb 20-26	7-Linear Models	7.1 Intro to GLM and linear regression	Q&A on recordings	A07 - Linear Models
		7.2 Multiple linear regression and AIC to select variables
		7.3 One-way ANOVA and Post-hoc test
		7.5 Two-way ANOVA, main effects and interaction effects
		7.6 One-sample and two-sample T-test
Feb 27-Mar 4	8-Time Series Analysis	8.1 Components of TSA & computing autocorrelation	Q&A on recordings	A08 - Time Series Analysis
		8.2 Trends and stationarity; Stationarity tests
		8.3 Initial plots; opportunities and challenges
		8.4 Decomposing the series and trend analysis
		8.5 Trend tests and ARMA models
Mar 5-11	9-Spatial Analysis	9.1 Introduction to spatial data formats	Q&A on recordings	A09 - Spatial Analysis
		9.2 Reading spatial data into R
		9.3 Visualizing Spatial Data
		9.4 Coordinate reference systems & coordinate transformations
		9.5 Spatial joins
		9.6 Spatial analyses
Mar 12-18	Spring Break		No class - Spring Break
Mar 19-25	10-Data Scraping	10.1 Introduction to scraping data	Q&A on recordings	A10 - Scraping Data
		10.2 Automating the scraping process
		10.3 Web crawling
Mar 26-Apr 1	11-Python for R Users	11.1 Python for R users	Q&A on recordings	A11 - Python for R Users
Apr 2-Apr 8	Class wrap up	Course Project Work	Class Wrap up	Course Project
Apr 9-15	Course Projects	Course Project Work	No class - MP Presentations	Course Project