app.py

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

# Load data
def load_data():
    df = pd.read_csv("processed_data.csv")  # replace with your dataset
    return df

# Create Streamlit app
def app():
    # Title for the app
    st.title("OLA Trip Data Analysis Dashboard")
    df = load_data()

    df = pd.DataFrame(df)
    # Metrics
    total_bookings = df['booking id'].nunique()
    total_revenue = df['total_trip_cost'].sum()
    average_trip_time = df['time_taken'].mean()
    average_rating = df['ratings'].mean()
    average_trip_cost = df['total_trip_cost'].mean()
    
    # Display metrics on the sidebar
    st.sidebar.header("Key Metrics")
    st.sidebar.metric("Total Bookings", total_bookings)
    st.sidebar.metric("Total Revenue", f"${total_revenue:.2f}")
    st.sidebar.metric("Average Trip Cost", f"${average_trip_cost:.2f}")
    st.sidebar.metric("Average Trip Time (min)", round(average_trip_time, 2))
    st.sidebar.metric("Average Rating", round(average_rating, 2))
        
    plots = [
        {"title": "Rating by Category", "x": "category", "y": "ratings", "estimator": sum, "ci": None, "plot": sns.barplot},
        {"title": "Purpose by Booking", "x": "reason", "plot": sns.countplot},
        {"title": "Distance Travelled by Category", "x": "category", "y": "distance_travelled", "color": "lightblue", "plot": sns.barplot},
        {"title": "Time Taken by Category", "x": "category", "y": "time_taken", "color": "lightgreen", "plot": sns.barplot},
        {"title": "Total Bookings by Weekday", "data": df['weekday'].value_counts().sort_index(), "x": "index", "y": "values", "plot": sns.lineplot},
        {"title": "Total Revenue by Month", "data": df.groupby('month')['total_trip_cost'].mean(), "x": "index", "y": "values", "plot": sns.lineplot}
    ]

    for plot in plots:
        st.subheader(plot["title"])
        plt.figure(figsize=(10, 6))
        if "data" in plot:
            plot["plot"](x=plot["data"].index.astype(str), y=plot["data"].values)
        else:
            plot["plot"](data=df, x=plot["x"], y=plot.get("y"), estimator=plot.get("estimator"), ci=plot.get("ci"), color=plot.get("color"))
        plt.title(plot["title"])
        plt.xticks(rotation=45)
        st.pyplot(plt)

if __name__ == "__main__":
    app()