ENVIRON-175

Programming with Big Environmental Datasets

Gleb Satyukov
Senior Research Engineer | Data Science Instructor

Slides

R Basics 1: https://environ-175.com/basics/1

R Basics 2: https://environ-175.com/basics/2

R Basics 3: https://environ-175.com/basics/3

R Basics 4: https://environ-175.com/basics/4

R Basics 5: https://environ-175.com/basics/5

Slides

R Advanced 1: https://environ-175.com/advanced/1

R Advanced 2: https://environ-175.com/advanced/2

R Advanced 3: https://environ-175.com/advanced/3

R Advanced 4: https://environ-175.com/advanced/4

R Advanced 5: https://environ-175.com/advanced/5

Slides

R Spatial 1: https://environ-175.com/spatial/1

R Spatial 2: https://environ-175.com/spatial/2

R Spatial 3: https://environ-175.com/spatial/3

R Spatial 4: https://environ-175.com/spatial/4

R Spatial 5: https://environ-175.com/spatial/5

Schedule

Agenda for today

New functions!

Reminder about the best practices

Attention to detail

Clean your environment

Use proper file paths

Use proper code spacing

Use inline and block comments!!

Use correct variable names (lowercase and underscores)

Save charts programmatiaclly with ggsave

Best Practices 2.0

Using Global Variables

Set a directory using path_main

Keep your data in a dedicated data folder

Inspect the data after loading using head()

Be consistent with your use of quotes (' vs ")

Make sure to export both graphs and final data (using write_csv(data, path))

Follow instructions in the assignments exactly

Slido

Workplan / Checklist

Final Result

R Spatial 1: Assignment 10

Going to be published on canvas today

Assignment is going to be due this Friday

Due Date: Friday May 16, 2025 at 11:59 pm PT