THE NULL HYPOTHESIS "Has the Apparent temperature and humidity compared monthly across 10 years of the data indicate an increase due to Global Warming?" As per the hypothesis, 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. This monthly analysis has to be done for all 12 months over the 10 year period. So we are basically resampling our data from hourly to monthly, then comparing the same month over the 10 year period. After which we will be supporting our analysis with appropriate visualizations using matplotlib and/or seaborn library. Source URL: www.kaggle.com Google Drive Link: WeatherHistory.csv 1. Importing libraries from the dataset. 2. Visualizing the dataset with statistical details. 3. Cleaning the dataset: In this step, we will prepare our data for the plotting, we will first drop the unwanted columns (all except temper...
Performing Analysis of Meteorological Data
Performing data cleaning and analysis of hourly temperature and humidity for the last 10 years recorded from (2006-04-01 00:00:00.000 +0200) to (2016-09-09 23:00:00.000 +0200) corresponding to Finland, a country in the Northern Europe.