analysis

Objective:      The goal is to analyse the Meteorological dataset,study the underlying features and relationships between the variables to analyse the weather changes using python. Dataset : The Dataset used is an extract from  Meteorological Dataset  Kaggle. Overview of the Dataset: Features: Formatted Date(in datetime format) Summary(weather type) Precip type(4 values) Temperature(C) (in celsius) Apparent Temperature(C) (in celsius) Humidity (in grams per kilogram) Wind Speed(km/h) (max wind speed achieved) Wind Bearing (degrees) (direction of the wind) Visibility(km) (amount of the visibility) Loud Cover(null values) Pressure(millibars) (pressure of the wind) Daily Summary(overview of  the weather) Data information: Columns-count : 12 Row-count : 96,453 Quantitative features[8] : temperature , apparent temperature , humidity , wind speed , wind bearing , visibility , loud cover , pressure. Discrete (Categorical) features[4] : formatted date , summary , p...