Analyzing Weather Dataset

This is a data analytics project utilizing SQL and Python v.3 libraries Numpy, PANDAS and Matplotlib through Jupyter Notebook in order to provide a quick comparative analysis between of weather trends globally and a specific city. I opted for Los Angeles, CA as that is the city I currently reside in.

Required Software:

Jupyter Notebook

Numpy

PANDAS

Matplotlib

Analytics Outline:

Extract & download data as CSV files from SQL database.

Calculate the moving average using .rolling.mean() function.

Visualize data using line charts from the Matplotlib library.

Document observations about the data.