Performing Analysis Of Meteorological Data

The dataset has hourly temperature recorded for last 10 years starting from 2006–04–01 to 2016–09–09

Is there a change due to global warming !

The Null Hypothesis H0 is “Has the Apparent temperature and humidity compared monthly across 10 years of the data indicate an increase due to Global warming”

the H0 means we need to find if the average temperature for month of April starting from 2006 to 2016

In this blog we will solve this problem by data analysis using python on given dataset:

STEP 1: importing the libraries

importing library

STEP 2:Importing and viewing Dataset

viewing data

STEP 3: Cleaning Data

converting time zone to UTC

resampling

STEP 4: plotting of graph

graph of all month(2006 -2016)

we saw the graph of all month now we will plot the graph for a specific month of April

month of April

CONCLUSION :

• There is no much change in humidity in past 10 years starting from 2006 to 2016 for the month of April
• Temperature increases in the year 2009 and drops in 2015
• rest of the years there isn’t any sharp change in the temperature

“I am thankful to mentors at https://internship.suvenconsultants.com for providing awesome problem statements and giving many of us a Coding Internship Experience. Thank you www.suvenconsultants.com