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Meteorological Data Analysis Guide by Punam is a document available to read on EtoBox.

What is Meteorological Data Analysis Guide about?

The document discusses analyzing meteorological data to test the hypothesis that apparent temperature and humidity have increased monthly over the past 10 years due to global warming. It loads weather data from Finland from 2006-2016 containing hourly temperature, humidity, and other metrics. It resamples the data to monthly averages, cleans the data, performs exploratory analysis using visualizations to examine correlations and trends over time, and defines functions to plot month-wise apparent temperature

Author

Punam

Language

EN