app.py

import streamlit as st
import pandas as pd
import matplotlib.pyplot as plt

# App title
st.set_page_config(page_title="Student Data Dashboard", layout="wide")
st.title("Student Data Visualization Dashboard")

# Load data
@st.cache_data
def load_data():
    return pd.read_csv("data/students.csv")

df = load_data()

# Sidebar filter
st.sidebar.header("Filters")
department = st.sidebar.selectbox(
    "Select Department",
    df["Department"].unique()
)

filtered_df = df[df["Department"] == department]

# Display raw data
st.subheader("Dataset Preview")
st.dataframe(filtered_df)

# Line chart
st.subheader("Student Growth Over Years")
fig, ax = plt.subplots()
ax.plot(filtered_df["Year"], filtered_df["Students"], marker="o")
ax.set_xlabel("Year")
ax.set_ylabel("Number of Students")
ax.set_title(f"{department} Department Growth")
st.pyplot(fig)

# Summary stats
st.subheader("Key Insights")
st.write(f"**Total Students (Latest Year):** {filtered_df.iloc[-1]['Students']}")
st.write(f"**Growth Rate:** {filtered_df.iloc[-1]['Students'] - filtered_df.iloc[0]['Students']}")