In Assignment 2 of Applied Plotting, Charting & Data Representation in Python, learners are asked to create a visualization based on their local weather data.
The weather data was from the Global Historical Climatology Network - Daily (GHCN-Daily).
This is the code used to downloaded, clean, format, and test the data.
Weather Data Pipeline.ipynb - Combines all of the notebooks into one data pipeline.
GHCN-D Downloader.ipynb - Downloads the GHCN-D data and cleans it up.
Binning.ipynb - Splits the surface of the earth into equal area bins.
Creates folders by bin size and in each folder are csvs of the binned data.
CSV_checker.ipynb - Checks each csv file to make sure it fulfills the conditions
needed for the assignment.
Plot_Bin.ipynb - Used to plot the weather stations in the specified bin on a map.
ghcn_daily_readme.txt & ghcn_daily_by_year_readme.txt - readme's for the GHCN data.