Exploring Environmental Data (ENS-215)
Winter 2022
| ENS-215 | Homework | Syllabus |
|---|---|---|
Week 9
Readings
- Geocomputation with R (Ch: 9) (Optional reading)
- R for Data Science (R4DS) Ch: 19 (Optional reading)
Assignments
- DataCamp Visualizing Geospatial Data in R chapters 1 (“Basic mapping with ggplot2 and ggmap”) and 2 (“Point and polygon data”)
- Assigned: 28-Feb
- Due: 10-Mar
Week 8
Assignments
- DataCamp Modeling with Data in the Tidyverse chapters 3 (“Modeling with Multiple Regression”) and 4 (“Model Assessment and Selection”)
- Assigned: 21-Feb
- Due: 28-Mar
Week 7
Readings
Assignments
- DataCamp Modeling with Data in the Tidyverse chapters 1 (“Introduction to Modeling”) and 2 (“Modeling with Basic Regression”)
- Assigned: 11-Feb
- Due: 21-Feb
Week 6
Readings
- Tidyverse style guide, Chapters 1, 2, 4, 5
- Excellent guide to proper usage of style, formatting, and syntax in R. Read this with care and where applicable you should begin implementing these style tips in your code. Note that “style” is more than just cosmetic – good style makes your code human readable and makes sharing and editing code significantly more efficient and less prone to error.
Assignments
- Final project proposal
- Due: 7-Feb (by 5PM)
You should Knit your proposal to an .html file and submit it on Nexus.
Week 5
Readings
Assignments
- DataCamp Reshaping Data with tidyr chapters 1 (“Tidy data”), 2 (“From wide to long and back”)
- Assigned: 28-Jan
- Due: 4-Feb
- DataCamp Joining Data with dplyr chapters 1 (“Joining Tables”), 2 (“Left and Right Joins”)
- Assigned: 28-Jan
- Due: 7-Feb
Week 4
Assignments
- DataCamp Introduction to Data Visualization with ggplot2 chapters 1 (“Introduction”), 2 (“Aesthetics”), 3 (“Geometries”)
- Assigned: 21-Jan
- Due: 28-Jan
Week 3
Readings
- ModernDive Ch: 3
- R for Data Science (R4DS) Ch: 5 (the R4DS reading is optional, though I strongly recommend it as it is very helpful)
Assignments
DataCamp Introduction to the Tidyverse chapters 1 (“Data wrangling”) and 2 (“Data visualization”)
- Assigned: 17-Jan
- Due: 21-Jan
DataCamp Introduction to the Tidyverse chapter 3 (“Grouping and summarizing”)
- Assigned: 17-Jan
- Due: 21-Jan
Week 2
Assignments
1. Complete the “Conditionals and Control Flow” and “Loops” lessons in the DataCamp “Intermediate R course”
- Assigned: 10-Jan
- Due: 14-Jan
2. Complete the “Functions” lesson in the DataCamp “Intermediate R course”
- Assigned: 10-Jan
- Due: 17-Jan
Week 1
Assignments
1. Download R and RStudio: You will first need to download R and then RStudio. To download R go to this link and download R. You will see links for Mac and Windows users (make sure to select the appropriate one for your computer). Download the program and then install it.
Once you’ve downloaded and installed R, then you will need to get RStudio. Go to this link and download the “Installer for Supported Platform” that corresponds to your computer (i.e. Mac or Windows). Download and install the software.
- Assigned: 3-Jan
- Due: 5-Jan
2. Accept the invite to our DataCamp class and complete “Introduction to R”
- Assigned: 3-Jan
- Due: 10-Jan
- Note: You should accept the DataCamp invitation immediately
3. Get a binder to hold your course notes and bring to all future classes
- Assigned: 3-Jan
- Due: 12-Jan
4. Sign up for RStudio Cloud
You will receive an email invitation to join our RStudio Cloud group. You should accept this invitation and create an account if you haven’t done so already.
- Assigned: 3-Jan
- Due: 5-Jan
5. Complete course intro survey
- Survey link here
- Assigned: 3-Jan
- Due: 5-Jan
Mason Stahl (2022)
Union College
