Performing Analysis of Meteorological Data
This project was for data analysis and is to transform the raw data into information and
then convert it into knowledge.in this analysis we compared the Apparent temperature and humidity of month April for 10 years(2006-2016)
hypothesis:
"Has the Apparent temperature and humidity compared monthly
across 10 years of the data indicate an increase due to Global warming"
language: python(100%)
libraries: numpy, pandas, matplotlib
dataset : https://www.kaggle.com/muthuj7/weather-dataset
Plotting variation in month of April from 2006 -2016
conclusion:
As we can analyze there isn’t any change in humidity in past 10 years(2006–2010) for the month of April. where as , temperature increases sharply in 2009 and drops in 2015 for rest of the years there isn’t any sharp change in the temperature. We can conclude that global warming has caused an uncertainty in the temperature over past 10 years while the average humidity has remained constant throughout the 10 years.
Note: This conclusion statement is for only month of April , please refer same code for all the months(by changing some attributes)
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