This repository contains materials for the second assignment for the course EDS 220 - Working with Environmental Datasets. This course is part of the UCSB Masters in Environmental Data Science.
Complete instructions for this assignment are in the course website.
The notebooks hwk2-task2-salmon.ipynb and hwk2-task3-aqi.ipynb have exercises for practicing data wrangling using pandas, including working with time series. Each notebook contains detailed instructions on how to complete the exercises.
The data folder contains a single CSV file (data/salmon_data.csv) used in hwk2-task2.ipynb.
Please review the rubric for these tasks before starting your work.
All tasks for this assignment should be submitted via Gradescope. Make sure you double-check your submission to ensure it satisfies all the items in this checklist:
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File formatting and uploading:
- Answers for tasks 2 and 3 must be submitted as .ipynb files (Jupyter Notebooks) to Gradescope, not a PDF, html or other format.
- Double-check that each notebooks is uploaded to the correct task on Gradescope.
- Before you upload your finished notebooks to Gradescope, please rename your notebooks so they are called
hwk1-task2-aqi-YOURLASTNAME.ipynbandhwk1-task3-salmon-YOURLASTNAME.ipynb.
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Notebook content checklists:
- Ensure your notebooks include a link to your assignment's GitHub repository in the designated section.
- The notebooks you submit must have your solutions to the exercises, They should not be the blank template notebooks.
- The notebooks you submit must include your code and all required rendered plots, graphs, and printed output. Run all cells before submitting your .ipynb file and make sure all the outputs are visible.
Resubmissions after the due date due to not satisfying one of the checks above will be strictly held to the course's 50%-regrade resubmission policy (see syllabus).
If you have any questions, please reach out to the TA or instructor by 5 pm on the day before the assignment is due.
Happy coding!