Create streamlit_app.py

streamlit_app.py

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+!pip install "altair[all]==5.5.0"
+import streamlit as st
+import pandas as pd
+import altair as alt
+from vega_datasets import data
+import us
+
+
+
+
+# -------------------------------------------------
+# PAGE CONFIG + TITLE
+# -------------------------------------------------
+st.set_page_config(page_title="University Donor Dashboard", layout="wide")
+st.title("University Donor Dashboard")
+alt.data_transformers.enable("default", max_rows=None)
+
+# -------------------------------------------------
+# DATA
+# -------------------------------------------------
+@st.cache_data
+def load_data():
+    df = pd.read_csv("university-donations.csv")
+    df["Gift Date"] = pd.to_datetime(
+        df["Gift Date"],
+        format="%m/%d/%y",
+        errors="coerce"
+    )
+    df["Year"]      = df["Gift Date"].dt.year.astype("Int64")
+    df["YearMonth"] = df["Gift Date"].dt.to_period("M").astype(str)
+
+    # 2-letter state → FIPS
+    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()
+st.write("Loaded rows:", len(df))   # quick sanity check
+
+# -------------------------------------------------
+# SIDEBAR FILTERS
+# -------------------------------------------------
+st.sidebar.header("Filters")
+col_opts = ["All"] + sorted(df["College"].dropna().unique())
+mot_opts = ["All"] + sorted(df["Gift Allocation"].dropna().unique())
+
+col_pick = st.sidebar.selectbox("College", col_opts, index=0)
+mot_pick = st.sidebar.selectbox("Motivation (Gift Allocation)", mot_opts, index=0)
+
+st.sidebar.write(f"Selected College: {col_pick}")
+st.sidebar.write(f"Selected Motivation: {mot_pick}")
+
+mask = pd.Series(True, index=df.index)
+if col_pick != "All":
+    mask &= df["College"] == col_pick
+if mot_pick != "All":
+    mask &= df["Gift Allocation"] == mot_pick
+df_filt = df[mask]
+
+# Check if the filtered dataframe is empty
+if df_filt.empty:
+    st.warning("No data matches the selected filters.")
+else:
+    # -------------------------------------------------
+    # SELECTIONS (empty="all" to show all data initially)
+    # -------------------------------------------------
+    state_select = alt.selection_point(fields=["state_fips"], toggle=False, empty="all")
+    brush = alt.selection_interval(encodings=["x"], empty="all")
+    subcategory_select = alt.selection_point(
+        fields=["Allocation Subcategory"],
+        toggle="event.shiftKey",
+        empty="all"
+    )
+
+    # -------------------------------------------------
+    # CHOROPLETH MAP
+    # -------------------------------------------------
+
+    state_totals = (
+        df_filt.groupby("state_fips", as_index=False)
+               .agg(Gift_Amount_sum=("Gift Amount", "sum"),
+                    Gift_Count=("Gift Amount", "count"))
+    )
+
+
+    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("Gift_Amount_sum:Q",
+                          scale=alt.Scale(scheme="blues"),
+                          title="Total Gifts ($)"),
+                alt.value("lightgray")
+            ),
+            tooltip=[
+                alt.Tooltip("Gift_Amount_sum:Q", title="Total Gifts ($)", format=",.0f"),
+                alt.Tooltip("Gift_Count:Q",       title="# Gifts")
+            ]
+        )
+        .transform_lookup(
+            lookup="id",
+            from_=alt.LookupData(state_totals,
+                                 key="state_fips",
+                                 fields=["Gift_Amount_sum", "Gift_Count"])
+        )
+        .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(state_select, 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")
+            ]
+        )
+        .add_params(state_select)
+        .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(state_select, brush, 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)