1_dash_layout

import dash
from dash.dependencies import Output, Input
import dash_core_components as dcc
import dash_html_components as html
import plotly.express as px
import pandas as pd


external_stylesheets = ['https://codepen.io/chriddyp/pen/bWLwgP.css']
app = dash.Dash(__name__, external_stylesheets=external_stylesheets)

colors = {
    'background': '#FFFFFF',
    'text': '#7FDBFF'
}

# Reading The Dataset and Doing any Transformations Required by The Figures

data = pd.read_csv('https://gist.githubusercontent.com/ThiagoFPMR/' +
                             'fea32b8082a54889ba7470ac63252299/raw/' +
                             'aea145700257ffa89d924073189a0e3804bd987c/' +
                             'covid_worldwide.csv')

# Defining App Layout 

app.layout = html.Div(style={'backgroundColor': colors['background']}, children=[
      html.H1('Studying The Pandemic Worldwide', style={'textAlign':'center'}),
      html.Div([
          html.Div([ 
              html.Label('Population'),
              dcc.Slider(
                  id='population-slider',
                  min=data.population.min(),
                  max=data.population.max(),
                  marks={
                    72037 : '72K',
                    80000000 : '80M',
                    150000000 : '150M',
                    300000000 : '300M',
                    700000000 : '700M',
                    1000000000 : '1B',
                    1439323776 : '1.4B' 
                  },
                  value=data.population.min(),
                  step=100000000,
                  updatemode='drag'
              )
          ]),
          html.Div([
              html.Label('Interest Variable'),
              dcc.Dropdown(
                  id='interest-variable',
                  options=[{'label':'Total Cases', 'value':'total_cases'},
                           {'label': 'Total Tests', 'value':'total_tests'},
                           {'label': 'Total Deaths', 'value':'total_deaths'},
                           {'label': 'Total Recovered', 'value':'total_recovered'}],
                  value='total_cases' 
              )
          ])
      ], style = {'width':'90%','margin':'auto'}),      
      html.Div([ 
              dcc.Graph(
                  id='covid-vs-edu',
              ),    
          html.Div(
              dcc.Graph(
                  id='covid-vs-income',
              )
      , style = {'width': '50%', 'display': 'inline-block'}),
          html.Div( 
              dcc.Graph(
                  id='covid-vs-income2',
              )
      , style = {'width': '50%', 'display': 'inline-block'})
      ], style = {'width':'90%','margin':'auto'})
])