def index_page():
page = page = html.Div(children=[
views.navbar, views.landing_text,
html.H1("Dados gerais globais", className="text-center"),
dbc.Container(children=[
dbc.Row(children=[
dbc.Col(html.Div(children=[
html.H2("Total de casos"),
dcc.Graph(id='cases',
figure=visu.total_cases(countries.general()))
],
className="p-4"),
xs=11,
sm=11,
md=6,
lg=6),
dbc.Col(html.Div(children=[
html.H2("Total de casos por milhão de habitantes"),
dcc.Graph(id='cases-per-million',
figure=visu.total_cases_mil(countries.general()))
],
className="p-4"),
xs=11,
sm=11,
md=6,
lg=6)
],
className="g-5"),
dbc.Row(children=[
dbc.Col(html.Div(children=[
html.
H2("Média móvel de 7 dias de novos casos por milhão de habitantes"
),
dcc.Graph(id='new-cases-smooth-per-million',
figure=visu.new_cases_smooth_mil(
countries.general()))
],
className="p-4"),
xs=11,
sm=11,
md=6,
lg=6),
dbc.Col(html.Div(children=[
html.H2("Mortes totais por país"),
dcc.Graph(id='total-deaths',
figure=visu.total_deaths(countries.general()))
],
className="p-4"),
xs=11,
sm=11,
md=6,
lg=6)
],
className="g-5"),
dbc.Row(children=[
dbc.Col(html.Div(children=[
html.H2("Mortes totais por milhão de habitantes"),
dcc.Graph(id='deaths-per-million',
figure=visu.total_deaths_mil(
countries.general()))
],
className="p-4"),
xs=11,
sm=11,
md=6,
lg=6),
dbc.Col(html.Div(children=[
html.
H2("Média móvel de mortes dos últimos 7 dias por milhão de habitantes"
),
dcc.Graph(id='new-deaths-smooth',
figure=visu.new_deaths_smooth_mil(
countries.general()))
],
className="p-4"),
xs=11,
sm=11,
md=6,
lg=6)
],
className="g-5"),
dbc.Row(children=[
dbc.Col(html.Div(children=[
html.H2("PIB per capita"),
dcc.Graph(id='gdp-per-capita',
figure=visu.gdp(countries.general()))
],
className="p-4"),
xs=11,
sm=11,
md=6,
lg=6),
dbc.Col(html.Div(children=[
html.H2('''Índice de Desenvolvimento Humano:
mede a qualidade de vida em um país'''),
dcc.Graph(id='hd-index',
figure=visu.hdi(countries.general()))
],
className="p-4"),
xs=11,
sm=11,
md=6,
lg=6)
],
className="g-5"),
dbc.Row(dbc.Col(html.Div(children=[
html.
H2("Índice de Gini - medido de 0 a 100, quanto maior, mais desigual é o país"
),
dcc.Graph(id='gini-index',
figure=visu.gini(countries.general()))
],
className="p-4"),
xs=11,
sm=11,
md=6,
lg=6),
justify="center",
className="g-5")
],
fluid=True)
])
return page
def dim_red_page_pca_sick():
dim_red_page_pca_sick = html.Div(children=[
views.navbar, views.landing_text,
dbc.Container(children=[
dbc.Row(children=[
dbc.Col(children=[
html.
H1("Redução de dimensionalidade com relação à comorbidades"
),
html.
H3('''Utilizamos PCA + KMeans para agrupar os dados relacionados a proporção de diabéticos,
proporção de fumantes entre homens e entre mulheres, número de leitos
de hospital por mil habitantes e proporção de doenças cardiovasculares..''',
className="text-muted"),
dcc.Graph(id='renda_kmeans',
figure=visu.dim_red_kmeans(
gp_clusters.sickness(), 'comorb', 'pca'))
],
xs=11,
sm=11,
md=8,
lg=8)
],
justify="center",
className="g-5, text-center"),
dbc.Row(children=[
dbc.Col(html.Div(children=[
html.H2("Total de casos"),
dcc.Graph(id='cases',
figure=visu.total_cases(
countries.pca_sickness()))
],
className="p-4"),
xs=11,
sm=11,
md=6,
lg=6),
dbc.Col(html.Div(children=[
html.H2("Total de casos por milhão de habitantes"),
dcc.Graph(id='cases-per-million',
figure=visu.total_cases_mil(
countries.pca_sickness()))
],
className="p-4"),
xs=11,
sm=11,
md=6,
lg=6)
],
className="g-5"),
dbc.Row(children=[
dbc.Col(html.Div(children=[
html.
H2("Média móvel de 7 dias de novos casos por milhão de habitantes"
),
dcc.Graph(id='new-cases-smooth-per-million',
figure=visu.new_cases_smooth_mil(
countries.pca_sickness()))
],
className="p-4"),
xs=11,
sm=11,
md=6,
lg=6),
dbc.Col(html.Div(children=[
html.H2("Mortes totais por país"),
dcc.Graph(id='total-deaths',
figure=visu.total_deaths(
countries.pca_sickness()))
],
className="p-4"),
xs=11,
sm=11,
md=6,
lg=6)
],
className="g-5"),
dbc.Row(children=[
dbc.Col(html.Div(children=[
html.H2("Mortes totais por milhão de habitantes"),
dcc.Graph(id='deaths-per-million',
figure=visu.total_deaths_mil(
countries.pca_sickness()))
],
className="p-4"),
xs=11,
sm=11,
md=6,
lg=6),
dbc.Col(html.Div(children=[
html.
H2("Média móvel de mortes dos últimos 7 dias por milhão de habitantes"
),
dcc.Graph(id='new-deaths-smooth',
figure=visu.new_deaths_smooth_mil(
countries.pca_sickness()))
],
className="p-4"),
xs=11,
sm=11,
md=6,
lg=6)
],
className="g-5"),
dbc.Row(children=[
dbc.Col(html.Div(children=[
html.H2("PIB per capita"),
dcc.Graph(id='gdp-per-capita',
figure=visu.gdp(countries.pca_sickness()))
],
className="p-4"),
xs=11,
sm=11,
md=6,
lg=6),
dbc.Col(html.Div(children=[
html.H2('''IDH -
o IDH mede a qualidade de vida em um país'''
),
dcc.Graph(id='hd-index',
figure=visu.hdi(countries.pca_sickness()))
],
className="p-4"),
xs=11,
sm=11,
md=6,
lg=6)
],
className="g-5"),
dbc.Row(dbc.Col(html.Div(children=[
html.
H2("Índice de Gini - medido de 0 a 100, quanto maior, mais desigual é o país"
),
dcc.Graph(id='gini-index',
figure=visu.gini(countries.pca_sickness()))
],
className="p-4"),
xs=11,
sm=11,
md=6,
lg=6),
justify="center",
className="g-5")
],
fluid=True)
])
return dim_red_page_pca_sick
def nordic_page():
page = html.Div(children=[
views.navbar, views.landing_text,
html.H1('''Dados agrupados dos países nórdicos -
Dinamarca, Finlândia, Islândia, Noruega e Suécia''',
className="text-center"),
dbc.Container(children=[
dbc.Row(children=[
dbc.Col(html.Div(children=[
html.H2("Total de casos"),
dcc.Graph(id='cases',
figure=visu.total_cases(countries.nordic()))
],
className="p-4"),
xs=11,
sm=11,
md=6,
lg=6),
dbc.Col(html.Div(children=[
html.H2("Total de casos por milhão de habitantes"),
dcc.Graph(id='cases-per-million',
figure=visu.total_cases_mil(countries.nordic()))
],
className="p-4"),
xs=11,
sm=11,
md=6,
lg=6)
],
className="g-5"),
dbc.Row(children=[
dbc.Col(html.Div(children=[
html.
H2("Média móvel de 7 dias de novos casos por milhão de habitantes"
),
dcc.Graph(id='new-cases-smooth-per-million',
figure=visu.new_cases_smooth_mil(
countries.nordic()))
],
className="p-4"),
xs=11,
sm=11,
md=6,
lg=6),
dbc.Col(html.Div(children=[
html.H2("Mortes totais por país"),
dcc.Graph(id='total-deaths',
figure=visu.total_deaths(countries.nordic()))
],
className="p-4"),
xs=11,
sm=11,
md=6,
lg=6)
],
className="g-5"),
dbc.Row(children=[
dbc.Col(html.Div(children=[
html.H2("Mortes totais por milhão de habitantes"),
dcc.Graph(id='deaths-per-million',
figure=visu.total_deaths_mil(countries.nordic()))
],
className="p-4"),
xs=11,
sm=11,
md=6,
lg=6),
dbc.Col(html.Div(children=[
html.
H2("Média móvel de mortes dos últimos 7 dias por milhão de habitantes"
),
dcc.Graph(id='new-deaths-smooth',
figure=visu.new_deaths_smooth_mil(
countries.nordic()))
],
className="p-4"),
xs=11,
sm=11,
md=6,
lg=6)
],
className="g-5"),
dbc.Row(children=[
dbc.Col(html.Div(children=[
html.H2("PIB per capita"),
dcc.Graph(id='gdp-per-capita',
figure=visu.gdp(countries.nordic()))
],
className="p-4"),
xs=11,
sm=11,
md=6,
lg=6),
dbc.Col(html.Div(children=[
html.H2('''IDH dos países nórdicos -
o IDH mede a qualidade de vida em um país'''
),
dcc.Graph(id='hd-index',
figure=visu.hdi(countries.nordic()))
],
className="p-4"),
xs=11,
sm=11,
md=6,
lg=6)
],
className="g-5"),
dbc.Row(dbc.Col(html.Div(children=[
html.
H2("Índice de Gini - medido de 0 a 100, quanto maior, mais desigual é o país"
),
dcc.Graph(id='gini-index',
figure=visu.gini(countries.nordic()))
],
className="p-4"),
xs=11,
sm=11,
md=6,
lg=6),
justify="center",
className="g-5")
],
fluid=True)
])
return page
def dim_red_page_tsne():
dim_red_page_tsne = html.Div(children=[
views.navbar, views.landing_text,
dbc.Container(children=[
dbc.Row(children=[
dbc.Col(children=[
html.H1("Redução de dimensionalidade com relação à renda"),
html.
H3('''Utilizamos TSNE + KMeans para agrupar os dados relacionados a PIB per capta,
expectativa de vida, número de leitos de hospital por mil habitantes, IDH e Gini.''',
className="text-muted"),
dcc.Graph(id='comorb_kmeans',
figure=visu.dim_red_kmeans(
gp_clusters.revenue(), 'renda', 'tsne'))
],
xs=11,
sm=11,
md=8,
lg=8)
],
justify="center",
className="g-5, text-center"),
dbc.Row(children=[
dbc.Col(html.Div(children=[
html.H2("Total de casos"),
dcc.Graph(id='cases',
figure=visu.total_cases(
countries.tsne_revenue()))
],
className="p-4"),
xs=11,
sm=11,
md=6,
lg=6),
dbc.Col(html.Div(children=[
html.H2("Total de casos por milhão de habitantes"),
dcc.Graph(id='cases-per-million',
figure=visu.total_cases_mil(
countries.tsne_revenue()))
],
className="p-4"),
xs=11,
sm=11,
md=6,
lg=6)
],
className="g-5"),
dbc.Row(children=[
dbc.Col(html.Div(children=[
html.
H2("Média móvel de 7 dias de novos casos por milhão de habitantes"
),
dcc.Graph(id='new-cases-smooth-per-million',
figure=visu.new_cases_smooth_mil(
countries.tsne_revenue()))
],
className="p-4"),
xs=11,
sm=11,
md=6,
lg=6),
dbc.Col(html.Div(children=[
html.H2("Mortes totais por país"),
dcc.Graph(id='total-deaths',
figure=visu.total_deaths(
countries.tsne_revenue()))
],
className="p-4"),
xs=11,
sm=11,
md=6,
lg=6)
],
className="g-5"),
dbc.Row(children=[
dbc.Col(html.Div(children=[
html.H2("Mortes totais por milhão de habitantes"),
dcc.Graph(id='deaths-per-million',
figure=visu.total_deaths_mil(
countries.tsne_revenue()))
],
className="p-4"),
xs=11,
sm=11,
md=6,
lg=6),
dbc.Col(html.Div(children=[
html.
H2("Média móvel de mortes dos últimos 7 dias por milhão de habitantes"
),
dcc.Graph(id='new-deaths-smooth',
figure=visu.new_deaths_smooth_mil(
countries.tsne_revenue()))
],
className="p-4"),
xs=11,
sm=11,
md=6,
lg=6)
],
className="g-5"),
dbc.Row(children=[
dbc.Col(html.Div(children=[
html.H2("PIB per capita"),
dcc.Graph(id='gdp-per-capita',
figure=visu.gdp(countries.tsne_revenue()))
],
className="p-4"),
xs=11,
sm=11,
md=6,
lg=6),
dbc.Col(html.Div(children=[
html.H2('''IDH -
o IDH mede a qualidade de vida em um país'''
),
dcc.Graph(id='hd-index',
figure=visu.hdi(countries.tsne_revenue()))
],
className="p-4"),
xs=11,
sm=11,
md=6,
lg=6)
],
className="g-5"),
dbc.Row(dbc.Col(html.Div(children=[
html.
H2("Índice de Gini - medido de 0 a 100, quanto maior, mais desigual é o país"
),
dcc.Graph(id='gini-index',
figure=visu.gini(countries.tsne_revenue()))
],
className="p-4"),
xs=11,
sm=11,
md=6,
lg=6),
justify="center",
className="g-5")
],
fluid=True)
])
return dim_red_page_tsne