Higher highs, lower lows, storms, and smoke -- we're all feeling the effects of climate change. In this workflow, you will take a look at trends in temperature over time in Boulder, CO.
You can find demo videos, further reading, and solution code online in the ESIIL Learning Portal Stars Textbook
To get started from the main repository page:
- Click on the green
Codedropdown in the upper right - Open the
Codespacestab - Click
Create codespace on main
It can take a few minutes for the codespace to load for the first time. Be patient! It doesn't make it go faster to try again. You can find out more about all your codespaces at https://www.github.com/codespaces. If you are using this repository through GitHub Classroom, you shouldn't run out of codespace minutes, but you can run out of storage space if you have too many codespaces open or download too much data.
There are 3 parts to this coding challenge:
-
Complete the analysis notebooks in this repository with the sample data
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Complete the download notebook in this repository to practice accessing data
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Write a portfolio post (optional, but this is an option for your final project!):
a. Come up with your own scientific question you can answer or explore with similar data b. Create a new notebook in this repository b. Reproduce the analysis to help answer your question c. Write a portfolio post explaining your results d. Upload the post to your data science portfolio webpage to show off your work!
Do your best to finish at least the two required parts of the coding challenge by the due date for this challenge. We're here to help!
The following code may help you to export your analysis if you want to put it on your portfolio:
jupyter nbconvert <your-notebook-name>.ipynb --to markdown --no-inputYou can run it within your notebook as a %%bash cell, or in the terminal.
Before diving into the 5-part analysis, here’s the data retrieval notebook:
Then the main analysis: