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Update app.py
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app.py
CHANGED
@@ -2,9 +2,6 @@ import streamlit as st
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import altair as alt
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import pandas as pd
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# Title
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st.title("Building Inventory Interactive Visualization")
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# Load Dataset
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@st.cache_data
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def load_data():
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@@ -58,14 +55,7 @@ bar_chart = (
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.properties(width=550, title="Agency Name Distribution by Year Acquired")
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.add_params(click)
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)
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This bar chart visualizes the distribution of Agency Name based on their acquisition year.
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Design choices:
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- X-axis displays the Agency Name.
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- Y-axis displays the Year Acquired.
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This bar chart visualizes which agency acquired the count of buildings in which Year.
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The Agency Name is taken as the ordinal value.
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""")
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# Combined Chart
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chart = alt.vconcat(scatter, bar_chart, title="Building Inventory Insights")
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@@ -84,4 +74,12 @@ with tab1:
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st.altair_chart(chart, theme="streamlit", use_container_width=True)
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with tab2:
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st.altair_chart(chart, theme=None, use_container_width=True)
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import altair as alt
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import pandas as pd
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# Load Dataset
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@st.cache_data
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def load_data():
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.properties(width=550, title="Agency Name Distribution by Year Acquired")
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.add_params(click)
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)
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# Combined Chart
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chart = alt.vconcat(scatter, bar_chart, title="Building Inventory Insights")
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st.altair_chart(chart, theme="streamlit", use_container_width=True)
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with tab2:
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st.caption("""
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This bar chart visualizes the distribution of Agency Name based on their acquisition year.
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Design choices:
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- X-axis displays the Agency Name.
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- Y-axis displays the Year Acquired.
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This bar chart visualizes which agency acquired the count of buildings in which Year.
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The Agency Name is taken as the ordinal value.
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""")
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st.altair_chart(chart, theme=None, use_container_width=True)
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