diff --git a/src/Reusables/Dist_notas.py b/src/Reusables/Dist_notas.py
index 5f8a471..dac635b 100644
--- a/src/Reusables/Dist_notas.py
+++ b/src/Reusables/Dist_notas.py
@@ -44,7 +44,7 @@
 
     {'field': 'Resultado'},
 
-    {'field': 'Professor'}
+    {'field': 'Professor', 'filter': False},
 
 
 ]
diff --git a/src/Reusables/Sidebars.py b/src/Reusables/Sidebars.py
index e63b1a4..d54d241 100644
--- a/src/Reusables/Sidebars.py
+++ b/src/Reusables/Sidebars.py
@@ -15,59 +15,58 @@
 def pg1():
     content = \
         html.Div([
-                html.Div(
-                    [
-                        html.H2("Opções", style={"color": "black"}),
-                    ],
-                    style={'text-align': 'center'}
-                ),
+            html.Div([
+                dmc.MultiSelect(id='Mdropdown11', label='Escolha o(s) professor(es):', value=[],
+                           data=Prof_Notas, searchable=True, clearable=True),
+                ]
+            ),
 
-                html.Div([
-                    dmc.Select(id='dropdown11', label='Escolha o eixo x:', value='Média aluno',
-                               data=list(Ops2.keys()), clearable=False),
-                    ]
-                ),
+            html.Div([
+                dmc.Select(id='dropdown11', label='Escolha o eixo x:', value='Média aluno',
+                           data=list(Ops2.keys()), clearable=False),
+                ]
+            ),
 
-                html.Div([
+            html.Div([
 
-                    dmc.Select(id='dropdown12', label='Divisão por cores:', value=None,
-                               data=[
-                                   {'label': 'Nenhuma', 'value': None},
-                                   {'label': 'Professor', 'value': 'Professor'}
-                               ], clearable=False),
-                    ]
-                ),
+                dmc.Select(id='dropdown12', label='Divisão por cores:', value=None,
+                           data=[
+                               {'label': 'Nenhuma', 'value': None},
+                               {'label': 'Professor', 'value': 'Professor'}
+                           ], clearable=False),
+                ]
+            ),
 
-                html.Div([
-                    dmc.Select(data=list(Ops.keys()), label='Divisão por colunas:',  value='Nenhuma',
-                               id='dropdown13', clearable=False),
-                    ]
-                ),
+            html.Div([
+                dmc.Select(data=list(Ops.keys()), label='Divisão por colunas:',  value='Nenhuma',
+                           id='dropdown13', clearable=False),
+                ]
+            ),
 
-                html.Div([
-                    dmc.Select(id='dropdown14', label='Divisão por linhas:',  value='Nenhuma',
-                               data=['Nenhuma', 'Gênero', 'Etnia', 'Escola'],
-                               clearable=False),
-                    ]
-                ),
+            html.Div([
+                dmc.Select(id='dropdown14', label='Divisão por linhas:',  value='Nenhuma',
+                           data=['Nenhuma', 'Gênero', 'Etnia', 'Escola'],
+                           clearable=False),
+                ]
+            ),
 
-                html.Div([
-                    dmc.Select(id='dropdown15', label='Tipo de gráfico:',  value='Histograma',
-                               data=['Histograma', 'Cumulativo'],
-                                 clearable=False),
-                    ]
-                ),
+            html.Div([
+                dmc.Select(id='dropdown15', label='Tipo de gráfico:',  value='Histograma',
+                           data=['Histograma', 'Cumulativo'],
+                             clearable=False),
+                ]
+            ),
 
-                html.Div([
-                    dmc.Select(
-                        id='dropdown16', label='Tipo de normalização:', value=None,
-                        data=[
-                        {'label': 'Contagem', 'value': None},
-                        {'label': 'Porcentagem', 'value': 'percent'},
-                        ],
-                        clearable=False
-                    )
-                ]),
+            html.Div([
+                dmc.Select(
+                    id='dropdown16', label='Tipo de normalização:', value=None,
+                    data=[
+                    {'label': 'Contagem', 'value': None},
+                    {'label': 'Porcentagem', 'value': 'percent'},
+                    ],
+                    clearable=False
+                )
+            ]),
         ],
         style={'display': 'flex', 'flexDirection': 'column', 'gap': 20, 'flex': 1},
         )
@@ -75,33 +74,32 @@ def pg1():
     return content
 
 
+
+
 def pg2():
     content = \
         html.Div([
-            html.Div(
-                [
-                    html.H2("Opções", style={"color": "black"}),
-                ],
-                style={'text-align': 'center'}
+            html.Div([
+                dmc.MultiSelect(id='Mdropdown21', label='Escolha o(s) professor(es):', value=[],
+                           data=Prof_Notas, searchable=True, clearable=True),
+                ]
             ),
 
             html.Div([
-                html.Div([
-                    dmc.Select(id='dropdown20', label='Escolha o eixo x:', value='Renda (R$)',
-                               data=['Renda (R$)', 'Frequência'], clearable=False)
-                ]),
+                dmc.Select(id='dropdown21', label='Escolha o eixo x:', value='Renda (R$)',
+                           data=['Renda (R$)', 'Frequência'], clearable=False)
             ]),
 
             html.Div([
-                dmc.Select(data=list(Ops.keys()), label='Divisão por colunas:', value='Nenhuma', id='dropdown21', clearable=False),
+                dmc.Select(data=list(Ops.keys()), label='Divisão por colunas:', value='Nenhuma', id='dropdown22', clearable=False),
             ]),
 
             html.Div([
-                dmc.Select(id='dropdown22', label='Divisão por linhas:',  value='Nenhuma', data=['Nenhuma', 'Gênero', 'Escola'], clearable=False),
+                dmc.Select(id='dropdown23', label='Divisão por linhas:',  value='Nenhuma', data=['Nenhuma', 'Gênero', 'Escola'], clearable=False),
             ]),
 
             html.Div([
-                dmc.Select(id='dropdown23', label='Regressão linear:', value=None,
+                dmc.Select(id='dropdown24', label='Regressão linear:', value=None,
                     data=[
                         {'label': 'Nenhuma', 'value': None},
                         {'label': 'Linear', 'value': 'ols'},
@@ -113,7 +111,7 @@ def pg2():
 
             html.Div([
                 dmc.Select(
-                    id='dropdown24', label='Escopo da regressão linear:',  value='overall',
+                    id='dropdown25', label='Escopo da regressão linear:',  value='overall',
                     data=[
                         {'label': 'Geral', 'value': 'overall'},
                         {'label': 'Legenda', 'value': 'trace'},
@@ -128,16 +126,11 @@ def pg2():
     return content
 
 
+
+
 def pg3():
     content = \
         html.Div([
-            html.Div(
-                [
-                    html.H2("Opções", style={"color": "black"}),
-                ],
-                style={'text-align': 'center'}
-            ),
-
             html.Div([
                 dmc.Select(
                     id='dropdown31', label='Tipo de gráfico:',  value='stpf',
@@ -154,47 +147,55 @@ def pg3():
 
 
 
+
 def pg4():
+
     content = \
         html.Div([
-            html.Div(
-                [
-                    html.H2("Opções", style={"color": "black"}),
-                ],
-                style={'text-align': 'center'}
-            ),
+            html.Div([
+                dmc.MultiSelect(id='Mdropdown41', label='Escolha a(s) disciplina(s)', value=[],
+                                data=Disc, searchable=True, clearable=True)
+            ]),
+
+            html.Div([
+                dmc.MultiSelect(id='Mdropdown42', label='Escolha o(s) professor(es)', value=[],
+                                data=Prof_turmas, searchable=True, clearable=True)
+            ]),
+
 
             html.Div([
                     dmc.Select(id='dropdown41', label='Escolha o eixo y:',  value='Média turma',
                                data=['Média turma', 'AP', 'RM', 'RF', 'RMF'], clearable=False),
             ]),
-            ]
+            ],
+            style={'display': 'flex', 'flexDirection': 'column', 'gap': 20, 'flex': 1}
         )
 
     return content
 
 
 
+
 def pg5():
     content = \
         html.Div([
-            html.Div(
-                [
-                    html.H2("Opções", style={"color": "black"}),
-                ],
-                style={'text-align': 'center'}
-            ),
-
+            html.Div([
+                dmc.MultiSelect(id='Mdropdown51', label='Escolha a(s) disciplina(s)', value=[],
+                                data=Disc, searchable=True, clearable=True)
+            ]),
 
 
             html.Div([
-                html.Div([
-                    dmc.Select(id='dropdown51', label='Escolha o eixo y:', value='Média turma',
-                               data=['Média turma', 'AP', 'RM', 'RF', 'RMF'], clearable=False),
-                ]),
+                dmc.MultiSelect(id='Mdropdown52', label='Escolha o(s) professor(es)', value=[],
+                                data=Prof_turmas, searchable=True, clearable=True)
             ]),
 
 
+            html.Div([
+                dmc.Select(id='dropdown51', label='Escolha o eixo y:', value='Média turma',
+                           data=['Média turma', 'AP', 'RM', 'RF', 'RMF'], clearable=False),
+            ]),
+
 
             html.Div([
                 dmc.Select(id='dropdown52', label='Regressão linear:',  value=None,
@@ -219,8 +220,7 @@ def pg5():
 
             ],
             style={'display': 'flex', 'flexDirection': 'column', 'gap': 20, 'flex': 1}
-        ),
+        )
 
     return content
 
-
diff --git a/src/Reusables/Turmas.py b/src/Reusables/Turmas.py
index 2db8966..4400fd7 100644
--- a/src/Reusables/Turmas.py
+++ b/src/Reusables/Turmas.py
@@ -14,16 +14,14 @@
 
     {'field': 'Código', "sortable": True},
 
-    {'field': 'Disciplina', "sortable": True},
+    {'field': 'Disciplina', "sortable": True, 'filter': False},
+
+    {'field': 'Professor', "sortable": True, 'filter': False},
 
     {'field': 'Turma', "sortable": True, 'sort': 'asc',
-     # "valueGetter": {"function": date_obj},
-     # "valueFormatter": {"function": f"d3.timeFormat('%Y/%m/%d')({date_obj})"},
-     # "filter": "agDateColumnFilter"
+     'filterParams': {'buttons': ['reset']}
      },
 
-    {'field': 'Professor', "sortable": True},
-
     {'field': 'Av Professor',
      'valueFormatter': gradeformat,
      'filter': 'agNumberColumnFilter'},
@@ -59,10 +57,6 @@
     'cellClass': 'center-aligned-cell',
     'resizable': True,
     'filter': True,
-    'filterParams': {
-        "alwaysShowBothConditions": True,
-    },
     'floatingFilter': True,
     'suppressMenu': True,
 }
-
diff --git a/src/app.py b/src/app.py
index 66e582d..093cb3d 100644
--- a/src/app.py
+++ b/src/app.py
@@ -11,12 +11,23 @@
 server = app.server
 
 
+
 Dados_notas = pd.read_excel('https://github.com/Oesterd/Dash-learning-analytics/raw/master/dados_teste.xlsx')
+Prof_Notas = Dados_notas['Professor'].unique()
 Notas_df = Dados_notas.iloc[:, 0:10]
+
 Notas_df = Notas_df.to_dict('records')
 
 
 Turmas_df = pd.read_excel('https://github.com/Oesterd/Dash-learning-analytics/raw/master/Dados_turma.xlsx')
+
+Disc = Turmas_df['Disciplina'].unique()
+Prof_turmas = Turmas_df['Professor'].unique()
+Disc.sort(), Prof_turmas.sort()
+
+Turmas_df['Turma'] = pd.to_datetime(Turmas_df['Turma'], format='%Y/%m')
+Turmas_df['Turma'] = Turmas_df['Turma'].dt.date
+
 Turmas_df = Turmas_df.to_dict('records')
 
 
@@ -149,8 +160,21 @@
                             id='sidebar',
                             fixed=False,
                             hidden=True,
+                            height=800,
                             width={"base": navwidth},
                             position='right',
+                            children=[
+                                html.Div(
+                                    [
+                                        html.H2("Opções", style={"color": "black"}),
+                                    ],
+                                    style={'text-align': 'center'}
+                                ),
+
+                                html.Br(),
+
+                                html.Div(id='sidebar-div', children=[])
+                            ],
                             style={
                                 "overflow": "hidden",
                                 "transition": "width 0.3s ease-in-out",
@@ -216,7 +240,7 @@ def drawer_demo(opened, width):
 
 
 @callback(
-    Output('sidebar', 'children'),
+    Output('sidebar-div', 'children'),
     Output('Intervalo', 'n_intervals'),
     State('Intervalo', 'n_intervals'),
     Input('url', 'pathname'),
@@ -243,4 +267,4 @@ def nav_content(n, url):
 
 
 if __name__ == "__main__":
-    app.run(debug=True, host="localhost")
+    app.run(debug=False, host="0.0.0.0")
diff --git a/src/pages/pg1.py b/src/pages/pg1.py
index d2116e4..64d5898 100644
--- a/src/pages/pg1.py
+++ b/src/pages/pg1.py
@@ -1,6 +1,4 @@
 # Importando as bibliotecas
-import time
-
 import dash
 from dash import html, dcc, Input, Output, State, callback, clientside_callback, ctx
 import dash_ag_grid as dag
@@ -90,11 +88,20 @@ def drop4init(options14, options15):
 # -------------------------------------------------------------------------------------
 @callback(
     Output('grid', 'rowData'),
+    Input(component_id='Intervalo', component_property='n_intervals'),
     Input('Dados_notas', 'data'),
+    Input(component_id='Mdropdown11', component_property='value'),
 )
 
 
-def Grid_maker(data):
+def Grid_maker(n, data, mdrop):
+    dff = pd.DataFrame(data)
+
+    if mdrop:
+        dff = dff[dff['Professor'].isin(mdrop)]
+
+    data = dff.to_dict('records')
+
     return data
 
 
@@ -152,4 +159,4 @@ def matplot_html(n, rows, drop1, drop2, drop3, drop4, drop5, drop6):
     )
 
 
-    return fig
+    return fig
\ No newline at end of file
diff --git a/src/pages/pg2.py b/src/pages/pg2.py
index d5c80e7..464b564 100644
--- a/src/pages/pg2.py
+++ b/src/pages/pg2.py
@@ -9,8 +9,6 @@
 import pandas as pd
 import scipy.stats
 
-import time
-
 
 
 # Iniciando o aplicativo
@@ -75,8 +73,8 @@
 #--------------------------------------------------------------------------------------------
 # Callback em cadeia
 @callback(
-    Output('dropdown22', 'data'),
-    Input('dropdown21', 'value'),
+    Output('dropdown24', 'data'),
+    Input('dropdown22', 'value'),
     prevent_initial_call=True
 )
 
@@ -87,8 +85,8 @@ def drop_chain(drop21value):
 
 
 @callback(
-    Output('dropdown22', 'value'),
-    Input('dropdown22', 'data'),
+    Output('dropdown23', 'value'),
+    Input('dropdown23', 'data'),
     prevent_initial_call=True
 )
 
@@ -106,11 +104,18 @@ def drop4init(available_options):
 #---------------------------------------------------------------------------------
 @callback(
     Output('grid2', 'rowData'),
+    Input(component_id='Intervalo', component_property='n_intervals'),
     Input('Dados_notas', 'data'),
+    Input(component_id='Mdropdown21', component_property='value'),
 )
+def Grid_maker(n, data, mdrop):
+    dff = pd.DataFrame(data)
+
+    if mdrop:
+        dff = dff[dff['Professor'].isin(mdrop)]
 
+    data = dff.to_dict('records')
 
-def Grid_maker(data):
     return data
 
 
@@ -122,11 +127,11 @@ def Grid_maker(data):
     Output(component_id='textpg2', component_property='value'),
     Input(component_id='Intervalo', component_property='n_intervals'),
     Input(component_id='grid2', component_property='virtualRowData'),
-    Input(component_id='dropdown20', component_property='value'),
     Input(component_id='dropdown21', component_property='value'),
     Input(component_id='dropdown22', component_property='value'),
     Input(component_id='dropdown23', component_property='value'),
     Input(component_id='dropdown24', component_property='value'),
+    Input(component_id='dropdown25', component_property='value'),
     prevent_initial_call=True
 )
 
diff --git a/src/pages/pg4.py b/src/pages/pg4.py
index 4b65b6e..5fa1d8b 100644
--- a/src/pages/pg4.py
+++ b/src/pages/pg4.py
@@ -59,11 +59,26 @@
 #--------------------------------------------------------------------------
 @callback(
     Output('grid3', 'rowData'),
+    Input(component_id='Intervalo', component_property='n_intervals'),
     Input('Dados_turmas', 'data'),
+    Input(component_id='Mdropdown41', component_property='value'),
+    Input(component_id='Mdropdown42', component_property='value'),
 )
 
 
-def Grid_maker(data):
+def Grid_maker(n, data, mdrop1, mdrop2):
+    dff = pd.DataFrame(data)
+
+
+    if mdrop1:
+        dff = dff[dff['Disciplina'].isin(mdrop1)]
+
+    if mdrop2:
+        dff = dff[dff['Professor'].isin(mdrop2)]
+
+
+    data = dff.to_dict('records')
+
     return data
 
 
@@ -90,7 +105,6 @@ def filterdata(n, rows, drop1):
     dff = pd.DataFrame(rows)
 
 
-
     # Transformando os dados no eixo y em uma razão ao invés de número absoluto
     if drop1 == 'Média turma':
         var = drop1
@@ -176,5 +190,3 @@ def filterdata(n, rows, drop1):
 
 
     return fig
-
-
diff --git a/src/pages/pg5.py b/src/pages/pg5.py
index 8c21edb..6e592ad 100644
--- a/src/pages/pg5.py
+++ b/src/pages/pg5.py
@@ -80,11 +80,26 @@
 #-----------------------------------------------------------------------------------------------------
 @callback(
     Output('grid4', 'rowData'),
+    Input(component_id='Intervalo', component_property='n_intervals'),
     Input('Dados_turmas', 'data'),
+    Input(component_id='Mdropdown51', component_property='value'),
+    Input(component_id='Mdropdown52', component_property='value'),
 )
 
 
-def Grid_maker(data):
+def Grid_maker(n, data, mdrop1, mdrop2):
+    dff = pd.DataFrame(data)
+
+
+    if mdrop1:
+        dff = dff[dff['Disciplina'].isin(mdrop1)]
+
+    if mdrop2:
+        dff = dff[dff['Professor'].isin(mdrop2)]
+
+
+    data = dff.to_dict('records')
+
     return data