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