Performing Analysis on Meteorological Data
Is there any change due in weather to global warming in of Finland by using Data analytics ?
In this blog we will discuss about a data analysis which is based on the following dataset.
“Has the Apparent temperature and humidity compared monthly across 10 years of the data indicate an increase due to Global warming” following is the Hypothesis for the analysis.
we need to find whether the average Apparent temperature for the month of a month says April starting from 2006 to 2016 and the average humidity for the same period has 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. Support your analysis by appropriate visualizations using matplotlib library.
first of all, we Importing all necessary Python libraries.
Step 1: Importing of libraries and Dataset.
In is final step we will plot the data to for the analysis ,
> Firstly we will plot the whole dataset for all months .
As we can see in the above images there are many ups and downs in the temperature. So , 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 to the model for all the months.
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