Update app.py

app.py

@@ -2,49 +2,35 @@ from dash import Dash, html, dcc, Input, Output
 import pandas as pd
 import plotly.express as px
 
-# Load the dataset
-df = pd.read_csv('C:/Users/aammann/OneDrive - Great American Insurance Group/Documents/cincinnati_traffic_crash_data__cpd.csv')
-
-# Preprocess the data
-df_grouped = df.groupby('SNA_NEIGHBORHOOD')['DATECRASHREPORTED'].count().reset_index()
-df_grouped.columns = ['Neighborhood', 'Total Crashes']
+# Load the CSV file
+df = pd.read_csv('cincinnati_traffic_crash_data__cpd.csv')
 
 # Initialize the Dash app
 app = Dash(__name__)
 
-# Create a bar chart
-fig = px.bar(df_grouped, x='Neighborhood', y='Total Crashes', title='Total Traffic Crashes by Neighborhood in Cincinnati')
-
 # Define the layout of the app
-app.layout = html.Div(children=[
-    html.H1(children='Cincinnati Traffic Crashes Dashboard'),
-
-    html.Div(children='''Dash: A web application framework for your data.'''),
-
+app.layout = html.Div([
     dcc.Dropdown(
-        id='neighborhood-dropdown',
-        options=[{'label': n, 'value': n} for n in df_grouped['Neighborhood']],
-        value=df_grouped['Neighborhood'][0]
+        id='city-dropdown',
+        options=[{'label': city, 'value': city} for city in df['City'].unique()],
+        value='SF'
     ),
-
-    dcc.Graph(
-        id='example-graph',
-        figure=fig
-    )
+    dcc.Graph(id='bar-chart')
 ])
 
-# Callback to update graph based on dropdown selection
+# Define the callback to update the graph
 @app.callback(
-    Output('example-graph', 'figure'),
-    [Input('neighborhood-dropdown', 'value')]
+    Output('bar-chart', 'figure'),
+    [Input('city-dropdown', 'value')]
 )
-def update_graph(selected_neighborhood):
-    filtered_df = df_grouped[df_grouped['Neighborhood'] == selected_neighborhood]
-    fig = px.bar(filtered_df, x='Neighborhood', y='Total Crashes', title=f'Total Traffic Crashes in {selected_neighborhood}')
+def update_chart(selected_city):
+    filtered_df = df[df['City'] == selected_city]
+    fig = px.bar(filtered_df, x='Fruit', y='Amount', color='Fruit', barmode='group')
     return fig
 
 # Run the app
 if __name__ == '__main__':
-    app.run(debug=True, port=8051)
+    app.run_server(debug=True, host='0.0.0.0', port=7860)
+