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adding jacobs dashboard (#4)
Browse files- adding jacobs dashboard (60fc18c192a47f9ae4c8cd0ad3564ca23d7a99bb)
app.py
CHANGED
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@@ -70,3 +70,47 @@ if selected_division:
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st.text('Overall Future Edits: Figure out what to do with positions with 1 employee (if anything), Decide whether to use transportation or corrections data, Re-capitalize agency departments')
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st.text('Chart A Future Edits: Order bars by mean YTD Gross, Make all position titles readable, add title')
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st.text('Overall Future Edits: Figure out what to do with positions with 1 employee (if anything), Decide whether to use transportation or corrections data, Re-capitalize agency departments')
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st.text('Chart A Future Edits: Order bars by mean YTD Gross, Make all position titles readable, add title')
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import altair as alt
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import pandas as pd
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alt.data_transformers.disable_max_rows()
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select_bar = alt.selection_point(
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fields=["agency"],
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on="click",
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clear="true"
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)
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bar_chart = (
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alt.Chart(df2)
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.mark_bar()
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.encode(
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y=alt.Y("agency:N", sort="-x"),
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x=alt.X("ytd_gross:Q", title="Total YTD Gross"),
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tooltip=["agency:N", "ytd_gross:Q"],
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color=alt.condition(select_bar, alt.value("#4C78A8"), alt.value("#CCCCCC"))
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)
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.add_params(select_bar)
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.properties(width=500, height=800)
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)
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box = (
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alt.Chart(df)
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.mark_boxplot(size=40)
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.encode(
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x=alt.X("agency:N", title=""),
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y=alt.Y("ytd_gross:Q", title="Salary Distribution"),
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color=alt.value("#4C78A8")
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)
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.transform_filter(select_bar) # <--- THIS CONNECTS THE GRAPHS
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.properties(width=120, height=800)
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)
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dashboard = bar_chart | box
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dashboard
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