data_loader.py

import pandas as pd

def load_data():
    df_m = pd.read_csv("data/Hauler_Machine_IPR.csv")
    df_p = pd.read_csv("data/Hauler_People_IPR.csv")
    df_w = pd.read_csv("data/Hauler_Weather_IPR.csv")

    # Gabungkan berdasarkan tanggal
    df = df_m.merge(df_p, on="date", how="inner")
    df = df.merge(df_w, on="date", how="inner")

    # Pastikan kolom sesuai
    df["cuaca_bin"] = df["cuaca"].map({"cerah": 0, "hujan": 1})
    return df