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Updated 3 years ago
!pip install jovian --upgrade --quiet
Covid19 India: Basic EDA & Predictive Modeling
Objectives of this project are as follows:
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Track Covid-related Confirmed, Recovered, Active and Deceased Cases across India
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Compute and perform exploratory data analysis on some parameters such as the Test Positivity Rate, Recovery Rate, Case Fatality Rate, Active Case Growth Rate and so on
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Build and test models to predict various aspects, such as the number of daily confirmed cases
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Track vaccination progress across the Country
Data Source: https://api.covid19india.org/csv/latest/states.csv
# Import required libraries
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
%matplotlib inline
import warnings
warnings.filterwarnings('ignore')
from datetime import *
import jovian
Let's load our data. The 'states.csv' file can be directly downloaded via the API provided by covid19india.org
An advantage of loading data directly via the API is that we will always have the latest numbers to work with
data = pd.read_csv('https://api.covid19india.org/csv/latest/states.csv')