Performing Analysis Of Meteorological Data

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For Project 1, I am going to analyse the Weather History dataset of a country named Finland, It Lies At The Northern Europe. The dataset has hourly temperature recorded for last 10 years starting from 2006–04–01 00:00:00.000 +0200 to 2016–09–09 23:00:00.000 +0200.The Dataset has been taken from the popular Open Source Public repository named Kaggle.The URL is https://www.kaggle.com/muthuj7/weather-dataset.Language used is Python 3,the IDE is Jupyter Notebook and utilized python Libraries for the project  are Numpy, Pandas, Matplotlib. The Null Hypothesis Ho says “The Apparent temperature and Humidity compared monthly across 10 years of the data indicate an increase due to Global warming.” Here is this blog post are the steps taken to draw a conclusion about the hypothesis.

STEP 1: Importing the necessary libraries

Step 2: Loading the “CSV” file of Weather History dataset


Step 3: Exploring the dataset

Step 4: Data Preprocessing

------Deleting the unwanted rows & columns



N.B:Drop Columns----(["Precip Type","Temperature (C)","Wind Speed (km/h)","Wind Bearing (degrees)","Visibility (km)","Pressure (millibars)","Summary","Daily Summary"]

------Converting the time of all set into the same constraint

------Resampling the data from hourly to monthly


Step 5: Data Visualisation using Matplotlib between Apparent Temperature & Humidity of the last 10 years

Step 6: Monthly Analysis for all the 12 months over the 10 year period taking variation in Apparent Temperature & Humidity.

------JANUARY




------FEBRUARY



------MARCH



------APRIL




------MAY



------JUNE




------JULY


------AUGUST



------SEPTEMBER


------OCTOBER



------NOVEMBER



------DECEMBER



Conclusion : Except for January,February,March,April,May,October,November and Decmber, there is apparently no relationship between Temperature and Humidity. As we can see from the graph that the lowest temperature was recorded -3 °C Around May 2008 and Highest was 39 °C At Around 2014. But the Humidity remains same with the average of 0.1

We can say that Due to Global Warming, the temperature has been gradually increased in the country, Finland over the past 10 years but there is no any affect on Humidity, it remained constant throughout the years


Link to the jupyter notebook python code script https://github.com/onajite1/Performing-Analysis-Of-Meteorological-Data





 


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