Code Editor for app.py

import streamlit as st
import pandas as pd

# ----------------------------
# Title & Introduction
# ----------------------------
st.title("🧠 Mental Health in Tech Survey")
st.write("""
This interactive Streamlit app explores insights from the 
**Mental Health in Tech Survey** dataset.  
Upload your dataset and explore distributions, treatment trends, 
and demographics interactively.
""")

# ----------------------------
# Upload Dataset
# ----------------------------
uploaded_file = st.file_uploader("📂 Upload the Survey Dataset (CSV)", type=["csv"])
if uploaded_file:
    df = pd.read_csv(uploaded_file)
    st.success("✅ File Uploaded Successfully!")

    # ----------------------------
    # Show Data
    # ----------------------------
    if st.checkbox("👀 Show Raw Data"):
        st.dataframe(df.head())

    # ----------------------------
    # Dataset Info
    # ----------------------------
    st.subheader("📊 Dataset Overview")
    st.write("Shape of dataset:", df.shape)
    st.write("Columns:", df.columns.tolist())

    # Missing values
    st.write("Missing values per column:")
    st.write(df.isnull().sum())

    # ----------------------------
    # Gender Distribution
    # ----------------------------
    if "Gender" in df.columns:
        st.subheader("👩‍💻 Gender Distribution")
        gender_counts = df["Gender"].value_counts()
        st.bar_chart(gender_counts)

    # ----------------------------
    # Country Distribution
    # ----------------------------
    if "Country" in df.columns:
        st.subheader("🌍 Country Distribution (Top 15)")
        country_counts = df["Country"].value_counts().head(15)
        st.bar_chart(country_counts)

    # ----------------------------
    # Treatment Distribution
    # ----------------------------
    if "treatment" in df.columns:
        st.subheader("💊 Treatment vs No Treatment")
        treatment_counts = df["treatment"].value_counts()
        st.bar_chart(treatment_counts)

    # ----------------------------
    # Work Interference
    # ----------------------------
    if "work_interfere" in df.columns:
        st.subheader("📌 Work Interference due to Mental Health")
        work_counts = df["work_interfere"].value_counts()
        st.bar_chart(work_counts)

    # ----------------------------
    # Self Employed
    # ----------------------------
    if "self_employed" in df.columns:
        st.subheader("💼 Self-Employed Distribution")
        se_counts = df["self_employed"].value_counts()
        st.bar_chart(se_counts)

    # ----------------------------
    # Age Distribution
    # ----------------------------
    if "Age" in df.columns:
        st.subheader("📈 Age Distribution")
        st.line_chart(df["Age"].value_counts().sort_index())

# ----------------------------
# Footer
# ----------------------------
st.write("---")
st.caption("📊 Built with Streamlit | Mental Health in Tech Survey Analysis")