Performing Analysis of Meteorological Data

In this blog we will discuss about a data analysis  which is based on some  dataset  . The dataset has hourly temperature recorded for the last 10 years starting from 2006–04–01 00:00:00.000 +0200 to 2016–09–09 23:00:00.000 +0200. It corresponds to Finland, a country in Northern Europe. The null hypothesis has the Apparent Temperature and Humidity compared monthly across 10 years of the data indicate an increase due to global warming where Null  Hypothesis means we need to find whether the average Apparent temperature for the month of a month say April starting from 2006 to 2016 and the average humidity for the same period have increased or not. This monthly analysis has to be done for all 12 months over the 10 year period.  So you are basically resampling your data from hourly to monthly, then comparing the same month over the 10 year period.  So  We are only using the Apparent Temperature and humidity Field because that we need to prove our hypothesi...