Meteorological-Data-Analysis-using-Python

It can also be termed as Weather analysis or Meteorological data analysis.

Data analysis can be described as a process consisting of several steps in which the raw data are transformed and processed in order to produce Data Visualizations and make predictions. Data analysis is schematized as a process chain consisting of the following sequence of Stages:

Null Hypothesis means we need to find whether the average apparent temperature for the month of say April starting from 2006 to 2016 and the Average humidity for the same period have increased or not.

Fig. 1: Screenshot of the graph of the changes in the Apparent Temperature and Humidity with the Time.

Fig. 2: Screenshot of the Plot of Yearwise changes in the Apparent Temp and Humidity for the April month.

For More information, Visit here:

https://medium.com/data-science-and-machine-learning-by-arnab-dey/meteorological-data-analysis-using-python-816a290f76a2

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