COVID - 19 DATA ANALYSIS GERMANY View

The following repository contains the Note book dealing with Covid 19 data analysis for the country Germany.

OBJECTIVE

• The main goal of this note book is the analysise and predict the number of new cases for the country germnay in future days.
• Obtain data insights using pandas.
• Cleaning the data with appropriate techniques.
• Performing epxloratory data analysis (EDA) on the data to get better insights.
• Modeling the data with various model with appropriate feature selection techniques.

# Importing required libraries
import numpy  as np
import pandas as pd
import matplotlib.pyplot as plt
%matplotlib inline
import seaborn as sns
import datetime as dt
import warnings
warnings.filterwarnings("ignore")

Getting Germany Country data

# Filtering to Germany
grouplocation=df_data.groupby(df_data.location)
df_germany=grouplocation.get_group("Germany")
pd.set_option('display.max_columns', None)

Checking Skewness Graphically

Total Number of Recovered Cases

Total Number of Active Cases

Total Number of New Deaths

Correlation

Line Plot gives the relation between how the each column vaires with respect to each Day.