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Browse files- app.py +138 -0
- requirements.txt +4 -2
- university-donations.csv +0 -0
app.py
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########################
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# app.py – Streamlit #
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########################
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import streamlit as st
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import pandas as pd
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import altair as alt
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from vega_datasets import data
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import us
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st.set_page_config(page_title="University Donor Dashboard",
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layout="wide")
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# ---------- DATA ----------
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@st.cache_data
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def load_data():
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# Make sure the CSV is in the same folder as app.py
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df = pd.read_csv("university-donations.csv")
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df["Gift Date"] = pd.to_datetime(df["Gift Date"])
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df["Year"] = df["Gift Date"].dt.year
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df["YearMonth"] = df["Gift Date"].dt.to_period("M").astype(str)
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# map 2-letter state → FIPS id for topojson join
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state_id = {s.abbr: int(s.fips) for s in us.states.STATES}
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df["state_fips"] = df["State"].map(state_id)
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return df
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df = load_data()
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alt.data_transformers.enable("default", max_rows=None)
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# ---------- SIDEBAR FILTERS ----------
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st.sidebar.header("Filters")
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col_opts = ["All"] + sorted(df["College"].unique())
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mot_opts = ["All"] + sorted(df["Gift Allocation"].unique())
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col_pick = st.sidebar.selectbox("College", col_opts, index=0)
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mot_pick = st.sidebar.selectbox("Motivation (Gift Allocation)", mot_opts, index=0)
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mask = pd.Series([True] * len(df))
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if col_pick != "All":
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mask &= df["College"] == col_pick
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if mot_pick != "All":
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mask &= df["Gift Allocation"] == mot_pick
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df_filt = df[mask]
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# ---------- ALTAIR SELECTIONS ----------
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state_select = alt.selection_point(fields=["state_fips"], toggle=False, empty="all")
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brush = alt.selection_interval(encodings=["x"])
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subcategory_select = alt.selection_point(fields=["Allocation Subcategory"],
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toggle="event", empty="all")
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# ---------- CHOROPLETH MAP ----------
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states = alt.topo_feature(data.us_10m.url, "states")
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map_chart = (
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alt.Chart(states)
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.mark_geoshape(stroke="white", strokeWidth=0.5)
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.encode(
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color=alt.condition(
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state_select,
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alt.Color("sum(Gift Amount):Q",
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scale=alt.Scale(scheme="blues"),
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title="Total Gifts ($)"),
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alt.value("lightgray")
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),
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tooltip=[
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alt.Tooltip("sum(Gift Amount):Q", title="Total Gifts ($)", format=",.0f"),
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alt.Tooltip("count():Q", title="# Gifts")
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]
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)
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.transform_lookup(
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lookup="id",
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from_=alt.LookupData(df_filt,
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key="state_fips",
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fields=["Gift Amount"])
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)
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.add_params(state_select)
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.project(type="albersUsa")
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.properties(width=380, height=250)
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)
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# ---------- LINE: GIFTS BY YEAR ----------
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line_chart = (
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alt.Chart(df_filt)
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.transform_filter(state_select)
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.mark_line(point=True)
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.encode(
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x=alt.X("Year:O", sort="ascending"),
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y=alt.Y("sum(Gift Amount):Q", title="Total Gifts ($)"),
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tooltip=[
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alt.Tooltip("Year:O", title="Year"),
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alt.Tooltip("sum(Gift Amount):Q", title="Total Gifts ($)", format=",.0f")
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]
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)
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.add_params(brush)
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.properties(width=380, height=250)
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)
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# ---------- BAR: TOTAL BY COLLEGE ----------
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bar_college = (
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alt.Chart(df_filt)
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.transform_filter(state_select)
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.mark_bar()
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.encode(
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y=alt.Y("College:N", sort="-x", title="College"),
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x=alt.X("sum(Gift Amount):Q", title="Total Gifts ($)"),
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tooltip=[
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alt.Tooltip("College:N", title="College"),
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alt.Tooltip("sum(Gift Amount):Q", title="Total Gifts ($)", format=",.0f")
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]
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)
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.properties(width=380, height=400)
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)
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# ---------- BAR: TOTAL BY SUB-CATEGORY ----------
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bar_sub = (
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alt.Chart(df_filt)
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.transform_filter(state_select)
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.transform_filter(brush)
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.mark_bar()
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.encode(
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y=alt.Y("Allocation Subcategory:N", sort="-x",
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title="Allocation Sub-category"),
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x=alt.X("sum(Gift Amount):Q", title="Total Gifts ($)"),
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color=alt.condition(
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subcategory_select, alt.value("#1f77b4"), alt.value("lightgray")
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),
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tooltip=[
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alt.Tooltip("Allocation Subcategory:N", title="Sub-category"),
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alt.Tooltip("sum(Gift Amount):Q", title="Total Gifts ($)", format=",.0f")
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]
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)
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.add_params(subcategory_select)
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.properties(width=380, height=400)
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)
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# ---------- LAYOUT ----------
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upper = alt.hconcat(map_chart, line_chart).resolve_scale(color="independent")
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lower = alt.hconcat(bar_college, bar_sub)
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st.altair_chart(alt.vconcat(upper, lower), use_container_width=True)
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requirements.txt
CHANGED
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@@ -1,3 +1,5 @@
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| 1 |
-
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| 2 |
pandas
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-
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+
streamlit==1.35.0
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| 2 |
pandas
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| 3 |
+
altair==5.3.0
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vega_datasets
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+
us
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university-donations.csv
ADDED
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The diff for this file is too large to render.
See raw diff
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