Covid-19 Spread Analysis using Python

import pandas as pd
import matplotlib.pyplot as plt
import plotly.express as px
import numpy as np
import plotly
import plotly.graph_objects as go
from plotly.subplots import make_subplots

import requests
# Getting Data
url_request = requests.get("covid-data.json")
url_json = url_request.json()
df = pd.DataFrame(url_json['features'])

import datetime as dt

# a. transforming data

data_list = df['attributes'].tolist()
data = pd.DataFrame(data_list)
data.set_index('OBJECTID')
data = data[['Province_State','Country_Region','Last_Update','Lat','Long_','Confirmed','Recovered','Deaths','Active']]
data.columns = ('State','Country','Last Update','Lat','Long','Confirmed','Recovered','Deaths','Active')
data['State'].fillna(value = '', inplace = True)
data

# b. cleaning data

def convert_time(t):
    t = int(t)
    return dt.datetime.fromtimestamp(t)

data = data.dropna(subset = ['Last Update'])
data['Last Update'] = data['Last Update']/1000
data['Last Update'] = data['Last Update'].apply(convert_time)
data