Create visuals.py

visuals.py

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+import streamlit as st
+import pandas as pd
+import matplotlib.pyplot as plt
+
+# Function to visualize hydrogen station capacity per state
+def plot_hydrogen_capacity(data):
+    st.subheader("📊 Hydrogen Production Capacity by State")
+    
+    df = data.groupby("state")["capacity_kg_day"].sum().reset_index()
+
+    plt.figure(figsize=(10, 5))
+    plt.bar(df["state"], df["capacity_kg_day"], color="blue")
+    plt.xlabel("State")
+    plt.ylabel("Capacity (kg/day)")
+    plt.title("Total Hydrogen Production Capacity per State")
+    st.pyplot(plt)