Update app.py

app.py

@@ -103,3 +103,52 @@ st.altair_chart(chart, use_container_width=True)
 st.header("🧾 Latest Structures Table")
 latest_df = df.sort_values("release_date", ascending=False).head(20)
 st.dataframe(latest_df[["id", "release_date", "method", "resolution", "institution"]].reset_index(drop=True))
+
+# ------------------ VISUALIZATION 6 ------------------ #
+st.header("📈 Submissions Over Time by Method")
+method_trend = df.groupby(["year", "method"]).size().reset_index(name="count")
+trend_chart = alt.Chart(method_trend).mark_line(point=True).encode(
+    x="year:O", y="count:Q", color="method:N", tooltip=["year", "method", "count"]
+).properties(height=300)
+st.altair_chart(trend_chart, use_container_width=True)
+
+# ------------------ VISUALIZATION 7 ------------------ #
+st.header("📦 Method Usage Distribution")
+method_dist = df["method"].value_counts().reset_index()
+method_dist.columns = ["method", "count"]
+pie_chart = alt.Chart(method_dist).mark_arc().encode(
+    theta="count:Q", color="method:N", tooltip=["method", "count"]
+)
+st.altair_chart(pie_chart, use_container_width=True)
+
+# ------------------ VISUALIZATION 8 ------------------ #
+st.header("🎯 Resolution Distribution by Method")
+box_data = df.dropna(subset=["resolution"])
+box = alt.Chart(box_data).mark_boxplot().encode(
+    x="method:N", y="resolution:Q", color="method:N"
+)
+st.altair_chart(box, use_container_width=True)
+
+# ------------------ VISUALIZATION 9 ------------------ #
+st.header("🔍 Compare Two Entries")
+entry_ids = df["id"].tolist()
+col1, col2 = st.columns(2)
+entry1 = col1.selectbox("Select Entry 1", entry_ids, index=0)
+entry2 = col2.selectbox("Select Entry 2", entry_ids, index=1)
+info1 = df[df["id"] == entry1].iloc[0]
+info2 = df[df["id"] == entry2].iloc[0]
+
+col1.subheader(f"Entry: {entry1}")
+col1.write(info1)
+col2.subheader(f"Entry: {entry2}")
+col2.write(info2)
+
+# ------------------ VISUALIZATION 10 ------------------ #
+st.header("📅 Monthly Submissions (Last 12 Months)")
+df["month"] = pd.to_datetime(df["release_date"]).dt.to_period("M").astype(str)
+last_year_df = df[df["release_date"] >= (pd.to_datetime("today") - pd.DateOffset(months=12))]
+monthly = last_year_df.groupby("month").size().reset_index(name="count")
+month_chart = alt.Chart(monthly).mark_bar().encode(
+    x="month:O", y="count:Q", tooltip=["month", "count"]
+).properties(height=300)
+st.altair_chart(month_chart, use_container_width=True)