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index.py
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import dash
import dash_core_components as dcc
import dash_html_components as html
from dash.dependencies import Input, Output
import plotly.graph_objs as go
import pandas as pd
url_confirmed = 'https://raw.githubusercontent.com/CSSEGISandData/COVID-19/master/csse_covid_19_data/csse_covid_19_time_series/time_series_covid19_confirmed_global.csv'
url_deaths = 'https://raw.githubusercontent.com/CSSEGISandData/COVID-19/master/csse_covid_19_data/csse_covid_19_time_series/time_series_covid19_deaths_global.csv'
url_recovered = 'https://raw.githubusercontent.com/CSSEGISandData/COVID-19/master/csse_covid_19_data/csse_covid_19_time_series/time_series_covid19_recovered_global.csv'
confirmed = pd.read_csv(url_confirmed)
deaths = pd.read_csv(url_deaths)
recovered = pd.read_csv(url_recovered)
# Unpivot data frames
date1 = confirmed.columns[4:]
total_confirmed = confirmed.melt(id_vars=['Province/State', 'Country/Region', 'Lat', 'Long'], value_vars=date1, var_name='date', value_name='confirmed')
date2 = deaths.columns[4:]
total_deaths = deaths.melt(id_vars=['Province/State', 'Country/Region', 'Lat', 'Long'], value_vars=date2, var_name='date', value_name='death')
date3 = recovered.columns[4:]
total_recovered = recovered.melt(id_vars=['Province/State', 'Country/Region', 'Lat', 'Long'], value_vars=date3, var_name='date', value_name='recovered')
# Merging data frames
covid_data = total_confirmed.merge(right=total_deaths, how='left', on=['Province/State', 'Country/Region', 'date', 'Lat', 'Long'])
covid_data = covid_data.merge(right=total_recovered, how='left', on=['Province/State', 'Country/Region', 'date', 'Lat', 'Long'])
# Converting date column from string to proper date format
covid_data['date'] = pd.to_datetime(covid_data['date'])
# Check how many missing value naN
covid_data.isna().sum()
# Replace naN with 0
covid_data['recovered'] = covid_data['recovered'].fillna(0)
# Calculate new column
covid_data['active'] = covid_data['confirmed'] - covid_data['death'] - covid_data['recovered']
covid_data_1 = covid_data.groupby(['date'])[['confirmed', 'death', 'recovered', 'active']].sum().reset_index()
covid_data_2 = covid_data.groupby(['date', 'Country/Region'])[['confirmed', 'death', 'recovered', 'active']].sum().reset_index()
# create dictionary of list
covid_data_dict = covid_data[['Country/Region', 'Lat', 'Long']]
list_locations = covid_data_dict.set_index('Country/Region')[['Lat', 'Long']].T.to_dict('dict')
app = dash.Dash(__name__, meta_tags=[{"name": "viewport", "content": "width=device-width"}])
app.layout = html.Div([
html.Div([
html.Div([
html.Img(src=app.get_asset_url('corona-logo-1.jpg'),
id='corona-image',
style={
"height": "60px",
"width": "auto",
"margin-bottom": "25px",
},
)
],
className="one-third column",
),
html.Div([
html.Div([
html.H3("Covid - 19", style={"margin-bottom": "0px", 'color': 'white'}),
html.H5("Track Covid - 19 Cases", style={"margin-top": "0px", 'color': 'white'}),
])
], className="one-half column", id="title"),
html.Div([
html.H6('Last Updated: ' + str(covid_data_1['date'].iloc[-1].strftime("%B %d, %Y")) + ' 00:01 (UTC)',
style={'color': 'orange'}),
], className="one-third column", id='title1'),
], id="header", className="row flex-display", style={"margin-bottom": "25px"}),
html.Div([
html.Div([
html.H6(children='Global Cases',
style={
'textAlign': 'center',
'color': 'white'}
),
html.P(f"{covid_data_1['confirmed'].iloc[-1]:,.0f}",
style={
'textAlign': 'center',
'color': 'orange',
'fontSize': 40}
),
html.P('new: ' + f"{covid_data_1['confirmed'].iloc[-1] - covid_data_1['confirmed'].iloc[-2]:,.0f} "
+ ' (' + str(round(((covid_data_1['confirmed'].iloc[-1] - covid_data_1['confirmed'].iloc[-2]) /
covid_data_1['confirmed'].iloc[-1]) * 100, 2)) + '%)',
style={
'textAlign': 'center',
'color': 'orange',
'fontSize': 15,
'margin-top': '-18px'}
)], className="card_container three columns",
),
html.Div([
html.H6(children='Global Deaths',
style={
'textAlign': 'center',
'color': 'white'}
),
html.P(f"{covid_data_1['death'].iloc[-1]:,.0f}",
style={
'textAlign': 'center',
'color': '#dd1e35',
'fontSize': 40}
),
html.P('new: ' + f"{covid_data_1['death'].iloc[-1] - covid_data_1['death'].iloc[-2]:,.0f} "
+ ' (' + str(round(((covid_data_1['death'].iloc[-1] - covid_data_1['death'].iloc[-2]) /
covid_data_1['death'].iloc[-1]) * 100, 2)) + '%)',
style={
'textAlign': 'center',
'color': '#dd1e35',
'fontSize': 15,
'margin-top': '-18px'}
)], className="card_container three columns",
),
html.Div([
html.H6(children='Global Recovered',
style={
'textAlign': 'center',
'color': 'white'}
),
html.P(f"{covid_data_1['recovered'].iloc[-1]:,.0f}",
style={
'textAlign': 'center',
'color': 'green',
'fontSize': 40}
),
html.P('new: ' + f"{covid_data_1['recovered'].iloc[-1] - covid_data_1['recovered'].iloc[-2]:,.0f} "
+ ' (' + str(round(((covid_data_1['recovered'].iloc[-1] - covid_data_1['recovered'].iloc[-2]) /
covid_data_1['recovered'].iloc[-1]) * 100, 2)) + '%)',
style={
'textAlign': 'center',
'color': 'green',
'fontSize': 15,
'margin-top': '-18px'}
)], className="card_container three columns",
),
html.Div([
html.H6(children='Global Active',
style={
'textAlign': 'center',
'color': 'white'}
),
html.P(f"{covid_data_1['active'].iloc[-1]:,.0f}",
style={
'textAlign': 'center',
'color': '#e55467',
'fontSize': 40}
),
html.P('new: ' + f"{covid_data_1['active'].iloc[-1] - covid_data_1['active'].iloc[-2]:,.0f} "
+ ' (' + str(round(((covid_data_1['active'].iloc[-1] - covid_data_1['active'].iloc[-2]) /
covid_data_1['active'].iloc[-1]) * 100, 2)) + '%)',
style={
'textAlign': 'center',
'color': '#e55467',
'fontSize': 15,
'margin-top': '-18px'}
)], className="card_container three columns")
], className="row flex-display"),
html.Div([
html.Div([
html.P('Select Country:', className='fix_label', style={'color': 'white'}),
dcc.Dropdown(id='w_countries',
multi=False,
clearable=True,
value='US',
placeholder='Select Countries',
options=[{'label': c, 'value': c}
for c in (covid_data['Country/Region'].unique())], className='dcc_compon'),
html.P('New Cases : ' + ' ' + ' ' + str(covid_data_2['date'].iloc[-1].strftime("%B %d, %Y")) + ' ', className='fix_label', style={'color': 'white', 'text-align': 'center'}),
dcc.Graph(id='confirmed', config={'displayModeBar': False}, className='dcc_compon',
style={'margin-top': '20px'},
),
dcc.Graph(id='death', config={'displayModeBar': False}, className='dcc_compon',
style={'margin-top': '20px'},
),
dcc.Graph(id='recovered', config={'displayModeBar': False}, className='dcc_compon',
style={'margin-top': '20px'},
),
dcc.Graph(id='active', config={'displayModeBar': False}, className='dcc_compon',
style={'margin-top': '20px'},
),
], className="create_container three columns", id="cross-filter-options"),
html.Div([
dcc.Graph(id='pie_chart',
config={'displayModeBar': 'hover'}),
], className="create_container four columns"),
html.Div([
dcc.Graph(id="line_chart")
], className="create_container five columns"),
], className="row flex-display"),
html.Div([
html.Div([
dcc.Graph(id="map")], className="create_container1 twelve columns"),
], className="row flex-display"),
], id="mainContainer",
style={"display": "flex", "flex-direction": "column"})
@app.callback(
Output('confirmed', 'figure'),
[Input('w_countries', 'value')])
def update_confirmed(w_countries):
covid_data_2 = covid_data.groupby(['date', 'Country/Region'])[['confirmed', 'death', 'recovered', 'active']].sum().reset_index()
value_confirmed = covid_data_2[covid_data_2['Country/Region'] == w_countries]['confirmed'].iloc[-1] - covid_data_2[covid_data_2['Country/Region'] == w_countries]['confirmed'].iloc[-2]
delta_confirmed = covid_data_2[covid_data_2['Country/Region'] == w_countries]['confirmed'].iloc[-2] - covid_data_2[covid_data_2['Country/Region'] == w_countries]['confirmed'].iloc[-3]
return {
'data': [go.Indicator(
mode='number+delta',
value=value_confirmed,
delta={'reference': delta_confirmed,
'position': 'right',
'valueformat': ',g',
'relative': False,
'font': {'size': 15}},
number={'valueformat': ',',
'font': {'size': 20},
},
domain={'y': [0, 1], 'x': [0, 1]})],
'layout': go.Layout(
title={'text': 'New Confirmed',
'y': 1,
'x': 0.5,
'xanchor': 'center',
'yanchor': 'top'},
font=dict(color='orange'),
paper_bgcolor='#1f2c56',
plot_bgcolor='#1f2c56',
height=50
),
}
@app.callback(
Output('death', 'figure'),
[Input('w_countries', 'value')])
def update_confirmed(w_countries):
covid_data_2 = covid_data.groupby(['date', 'Country/Region'])[['confirmed', 'death', 'recovered', 'active']].sum().reset_index()
value_death = covid_data_2[covid_data_2['Country/Region'] == w_countries]['death'].iloc[-1] - covid_data_2[covid_data_2['Country/Region'] == w_countries]['death'].iloc[-2]
delta_death = covid_data_2[covid_data_2['Country/Region'] == w_countries]['death'].iloc[-2] - covid_data_2[covid_data_2['Country/Region'] == w_countries]['death'].iloc[-3]
return {
'data': [go.Indicator(
mode='number+delta',
value=value_death,
delta={'reference': delta_death,
'position': 'right',
'valueformat': ',g',
'relative': False,
'font': {'size': 15}},
number={'valueformat': ',',
'font': {'size': 20},
},
domain={'y': [0, 1], 'x': [0, 1]})],
'layout': go.Layout(
title={'text': 'New Death',
'y': 1,
'x': 0.5,
'xanchor': 'center',
'yanchor': 'top'},
font=dict(color='#dd1e35'),
paper_bgcolor='#1f2c56',
plot_bgcolor='#1f2c56',
height=50
),
}
@app.callback(
Output('recovered', 'figure'),
[Input('w_countries', 'value')])
def update_confirmed(w_countries):
covid_data_2 = covid_data.groupby(['date', 'Country/Region'])[['confirmed', 'death', 'recovered', 'active']].sum().reset_index()
value_recovered = covid_data_2[covid_data_2['Country/Region'] == w_countries]['recovered'].iloc[-1] - covid_data_2[covid_data_2['Country/Region'] == w_countries]['recovered'].iloc[-2]
delta_recovered = covid_data_2[covid_data_2['Country/Region'] == w_countries]['recovered'].iloc[-2] - covid_data_2[covid_data_2['Country/Region'] == w_countries]['recovered'].iloc[-3]
return {
'data': [go.Indicator(
mode='number+delta',
value=value_recovered,
delta={'reference': delta_recovered,
'position': 'right',
'valueformat': ',g',
'relative': False,
'font': {'size': 15}},
number={'valueformat': ',',
'font': {'size': 20},
},
domain={'y': [0, 1], 'x': [0, 1]})],
'layout': go.Layout(
title={'text': 'New Recovered',
'y': 1,
'x': 0.5,
'xanchor': 'center',
'yanchor': 'top'},
font=dict(color='green'),
paper_bgcolor='#1f2c56',
plot_bgcolor='#1f2c56',
height=50
),
}
@app.callback(
Output('active', 'figure'),
[Input('w_countries', 'value')])
def update_confirmed(w_countries):
covid_data_2 = covid_data.groupby(['date', 'Country/Region'])[['confirmed', 'death', 'recovered', 'active']].sum().reset_index()
value_active = covid_data_2[covid_data_2['Country/Region'] == w_countries]['active'].iloc[-1] - covid_data_2[covid_data_2['Country/Region'] == w_countries]['active'].iloc[-2]
delta_active = covid_data_2[covid_data_2['Country/Region'] == w_countries]['active'].iloc[-2] - covid_data_2[covid_data_2['Country/Region'] == w_countries]['active'].iloc[-3]
return {
'data': [go.Indicator(
mode='number+delta',
value=value_active,
delta={'reference': delta_active,
'position': 'right',
'valueformat': ',g',
'relative': False,
'font': {'size': 15}},
number={'valueformat': ',',
'font': {'size': 20},
},
domain={'y': [0, 1], 'x': [0, 1]})],
'layout': go.Layout(
title={'text': 'New Active',
'y': 1,
'x': 0.5,
'xanchor': 'center',
'yanchor': 'top'},
font=dict(color='#e55467'),
paper_bgcolor='#1f2c56',
plot_bgcolor='#1f2c56',
height=50
),
}
# Create pie chart (total casualties)
@app.callback(Output('pie_chart', 'figure'),
[Input('w_countries', 'value')])
def update_graph(w_countries):
covid_data_2 = covid_data.groupby(['date', 'Country/Region'])[['confirmed', 'death', 'recovered', 'active']].sum().reset_index()
new_confirmed = covid_data_2[covid_data_2['Country/Region'] == w_countries]['confirmed'].iloc[-1]
new_death = covid_data_2[covid_data_2['Country/Region'] == w_countries]['death'].iloc[-1]
new_recovered = covid_data_2[covid_data_2['Country/Region'] == w_countries]['recovered'].iloc[-1]
new_active = covid_data_2[covid_data_2['Country/Region'] == w_countries]['active'].iloc[-1]
colors = ['orange', '#dd1e35', 'green', '#e55467']
return {
'data': [go.Pie(labels=['Confirmed', 'Death', 'Recovered', 'Active'],
values=[new_confirmed, new_death, new_recovered, new_active],
marker=dict(colors=colors),
hoverinfo='label+value+percent',
textinfo='label+value',
textfont=dict(size=13),
hole=.7,
rotation=45
# insidetextorientation='radial',
)],
'layout': go.Layout(
# width=800,
# height=520,
plot_bgcolor='#1f2c56',
paper_bgcolor='#1f2c56',
hovermode='closest',
title={
'text': 'Total Cases : ' + (w_countries),
'y': 0.93,
'x': 0.5,
'xanchor': 'center',
'yanchor': 'top'},
titlefont={
'color': 'white',
'size': 20},
legend={
'orientation': 'h',
'bgcolor': '#1f2c56',
'xanchor': 'center', 'x': 0.5, 'y': -0.07},
font=dict(
family="sans-serif",
size=12,
color='white')
),
}
# Create bar chart (show new cases)
@app.callback(Output('line_chart', 'figure'),
[Input('w_countries', 'value')])
def update_graph(w_countries):
# main data frame
covid_data_2 = covid_data.groupby(['date', 'Country/Region'])[['confirmed', 'death', 'recovered', 'active']].sum().reset_index()
# daily confirmed
covid_data_3 = covid_data_2[covid_data_2['Country/Region'] == w_countries][['Country/Region', 'date', 'confirmed']].reset_index()
covid_data_3['daily confirmed'] = covid_data_3['confirmed'] - covid_data_3['confirmed'].shift(1)
covid_data_3['Rolling Ave.'] = covid_data_3['daily confirmed'].rolling(window=7).mean()
return {
'data': [go.Bar(x=covid_data_3[covid_data_3['Country/Region'] == w_countries]['date'].tail(30),
y=covid_data_3[covid_data_3['Country/Region'] == w_countries]['daily confirmed'].tail(30),
name='Daily confirmed',
marker=dict(
color='orange'),
hoverinfo='text',
hovertext=
'<b>Date</b>: ' + covid_data_3[covid_data_3['Country/Region'] == w_countries]['date'].tail(30).astype(str) + '<br>' +
'<b>Daily confirmed</b>: ' + [f'{x:,.0f}' for x in covid_data_3[covid_data_3['Country/Region'] == w_countries]['daily confirmed'].tail(30)] + '<br>' +
'<b>Country</b>: ' + covid_data_3[covid_data_3['Country/Region'] == w_countries]['Country/Region'].tail(30).astype(str) + '<br>'
),
go.Scatter(x=covid_data_3[covid_data_3['Country/Region'] == w_countries]['date'].tail(30),
y=covid_data_3[covid_data_3['Country/Region'] == w_countries]['Rolling Ave.'].tail(30),
mode='lines',
name='Rolling average of the last seven days - daily confirmed cases',
line=dict(width=3, color='#FF00FF'),
# marker=dict(
# color='green'),
hoverinfo='text',
hovertext=
'<b>Date</b>: ' + covid_data_3[covid_data_3['Country/Region'] == w_countries]['date'].tail(30).astype(str) + '<br>' +
'<b>Rolling Ave.(last 7 days)</b>: ' + [f'{x:,.0f}' for x in covid_data_3[covid_data_3['Country/Region'] == w_countries]['Rolling Ave.'].tail(30)] + '<br>'
)],
'layout': go.Layout(
plot_bgcolor='#1f2c56',
paper_bgcolor='#1f2c56',
title={
'text': 'Last 30 Days Confirmed Cases : ' + (w_countries),
'y': 0.93,
'x': 0.5,
'xanchor': 'center',
'yanchor': 'top'},
titlefont={
'color': 'white',
'size': 20},
hovermode='x',
margin = dict(r = 0),
xaxis=dict(title='<b>Date</b>',
color='white',
showline=True,
showgrid=True,
showticklabels=True,
linecolor='white',
linewidth=2,
ticks='outside',
tickfont=dict(
family='Arial',
size=12,
color='white'
)
),
yaxis=dict(title='<b>Daily confirmed Cases</b>',
color='white',
showline=True,
showgrid=True,
showticklabels=True,
linecolor='white',
linewidth=2,
ticks='outside',
tickfont=dict(
family='Arial',
size=12,
color='white'
)
),
legend={
'orientation': 'h',
'bgcolor': '#1f2c56',
'xanchor': 'center', 'x': 0.5, 'y': -0.3},
font=dict(
family="sans-serif",
size=12,
color='white'),
)
}
# Create scattermapbox chart
@app.callback(Output('map', 'figure'),
[Input('w_countries', 'value')])
def update_graph(w_countries):
covid_data_3 = covid_data.groupby(['Lat', 'Long', 'Country/Region'])[['confirmed', 'death', 'recovered', 'active']].max().reset_index()
covid_data_4 = covid_data_3[covid_data_3['Country/Region'] == w_countries]
if w_countries:
zoom = 2
zoom_lat = list_locations[w_countries]['Lat']
zoom_lon = list_locations[w_countries]['Long']
return {
'data': [go.Scattermapbox(
lon=covid_data_4['Long'],
lat=covid_data_4['Lat'],
mode='markers',
marker=go.scattermapbox.Marker(
size=covid_data_4['confirmed'] / 1500,
color=covid_data_4['confirmed'],
colorscale='hsv',
showscale=False,
sizemode='area',
opacity=0.3),
hoverinfo='text',
hovertext=
'<b>Country</b>: ' + covid_data_4['Country/Region'].astype(str) + '<br>' +
'<b>Longitude</b>: ' + covid_data_4['Long'].astype(str) + '<br>' +
'<b>Latitude</b>: ' + covid_data_4['Lat'].astype(str) + '<br>' +
'<b>Confirmed</b>: ' + [f'{x:,.0f}' for x in covid_data_4['confirmed']] + '<br>' +
'<b>Death</b>: ' + [f'{x:,.0f}' for x in covid_data_4['death']] + '<br>' +
'<b>Recovered</b>: ' + [f'{x:,.0f}' for x in covid_data_4['recovered']] + '<br>' +
'<b>Active</b>: ' + [f'{x:,.0f}' for x in covid_data_4['active']] + '<br>'
)],
'layout': go.Layout(
margin={"r": 0, "t": 0, "l": 0, "b": 0},
# width=1820,
# height=650,
hovermode='closest',
mapbox=dict(
accesstoken='pk.eyJ1IjoicXM2MjcyNTI3IiwiYSI6ImNraGRuYTF1azAxZmIycWs0cDB1NmY1ZjYifQ.I1VJ3KjeM-S613FLv3mtkw',
center=go.layout.mapbox.Center(lat=zoom_lat, lon=zoom_lon),
# style='open-street-map',
style='dark',
zoom=zoom
),
autosize=True,
)
}
if __name__ == '__main__':
app.run_server(debug=True, port=33507)