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Update app.py
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app.py
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@@ -7,6 +7,17 @@ from streamlit_plotly_events import plotly_events
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from folium.plugins import HeatMap, MarkerCluster
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from streamlit_folium import st_folium
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@st.cache_data
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def load_and_preprocess_data(file_path):
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# Read the data
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@@ -71,7 +82,7 @@ def create_severity_violation_chart(df, age_group=None):
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title=f'Crash Severity Distribution by Violation Type - {age_group}',
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labels={'count': 'Number of Incidents', 'Violation': 'Violation Type'},
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height=600,
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-
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)
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fig.update_layout(
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@@ -94,7 +105,8 @@ def create_interactive_pie_chart(violations, selected_violation):
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names='Severity',
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values='count',
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title=f'Severity Level Distribution for Violation: {selected_violation}',
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height=400
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)
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return fig
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from folium.plugins import HeatMap, MarkerCluster
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from streamlit_folium import st_folium
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# To fix the color scheme in crash stats plot
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severity_colors = {
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"No Injury": "#1f77b4",
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"Possible Injury": "#aec7e8",
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"Non Incapacitating Injury": "#ff7f0e",
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"Incapacitating Injury": "#ffbb78",
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"Suspected Minor Injury": "#2ca02c",
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"Suspected Serious Injury": "#98df8a",
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"Fatal": "#d62728",
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}
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@st.cache_data
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def load_and_preprocess_data(file_path):
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# Read the data
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title=f'Crash Severity Distribution by Violation Type - {age_group}',
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labels={'count': 'Number of Incidents', 'Violation': 'Violation Type'},
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height=600,
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color_discrete_map=severity_colors # --> for part 3
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)
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fig.update_layout(
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names='Severity',
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values='count',
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title=f'Severity Level Distribution for Violation: {selected_violation}',
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height=400,
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color_discrete_map=severity_colors
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)
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return fig
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