could you please let me know what I am doing wrong in the following task?

What is wrong with my code? I can't find the issue and I tried everything I possible knew.

import pandas as pd

clean_data = pd.read_csv('production_data.csv')

clean_data['batch_id'] = clean_data['batch_id'].dropna() # Ensure no missing values

clean_data['production_date'] = pd.to_datetime(clean_data['production_date'], errors='coerce').dt.date clean_data['production_date'] = clean_data['production_date'].fillna(pd.to_datetime("2023-01-01").date())

clean_data['raw_material_supplier'] = clean_data['raw_material_supplier'].replace({1: 'national_supplier', 2: 'international_supplier'}).fillna('national_supplier') clean_data['raw_material_supplier'] = clean_data['raw_material_supplier'].str.lower().str.strip()

clean_data['pigment_type'] = clean_data['pigment_type'].fillna('other') clean_data.loc[~clean_data['pigment_type'].isin(['type_a', 'type_b', 'type_c']), 'pigment_type'] = 'other' clean_data['pigment_type'] = clean_data['pigment_type'].str.lower().str.strip()

clean_data['pigment_quantity'] = clean_data['pigment_quantity'].fillna(clean_data['pigment_quantity'].median()).clip(lower=1, upper=100).astype(float)

clean_data['mixing_time'] = clean_data['mixing_time'].fillna(clean_data['mixing_time'].mean()).astype(float)

clean_data['mixing_speed'] = clean_data['mixing_speed'].fillna('Not Specified') clean_data.loc[~clean_data['mixing_speed'].isin(['Low', 'Medium', 'High']), 'mixing_speed'] = 'Not Specified' clean_data['mixing_speed'] = clean_data['mixing_speed'].str.capitalize().str.strip()

clean_data['product_quality_score'] = clean_data['product_quality_score'].fillna(clean_data['product_quality_score'].mean()).clip(lower=1, upper=10).astype(float)

print(clean_data.info()) print(clean_data.isna().sum())enter image description here