######################## # 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)