Performing Analysis of Meteorological Data

  PERFORMING ANALYSIS OF METEOROLOGICAL DATA Performing Analysis of Meteorological Data Goal:  To transform the raw data into information and then convert it into knowledge H0:  Has the Apparent temperature and humidity compared monthly across 10 years of the data indicate an increase due to Global warming. 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. Analysis: Here we start by importing mandatory libraries, import   pandas   as   pd import   matplotlib.pyplot   as   plt import   numpy   as   np 2. Reading and viewing the file, metadata=pd.read_csv(r”E:\Lectures\Docs\Docs\weatherHistory.csv”) metadata.head() Formatted Date Summary Precip Type Temperature (C) Apparent Temperature (C) Humidity Wind Speed (km/h) Wind Bearing (degrees) Visibility (km) Pressure (millibars) Daily Summary 0 2006-04-01 00:00:00.000 +0200 Partly Cloudy rain 9.472222 7.388889 0.