<jupyter_start><jupyter_text>1. Setup<jupyter_code>import numpy as np
import pandas as pd
import os
import sys
module_path = os.path.abspath(os.path.join('..'))
if module_path not in sys.path:
    sys.path.append(module_path)
from utils.dataprep import load_and_preprocess_data
file_name = '../data/graduate-employment-survey-ntu-nus-sit-smu-suss-sutd.csv'
clean_target_columns = ['basic_monthly_mean']
df = load_and_preprocess_data(file_name, clean_target_columns)<jupyter_output><empty_output><jupyter_text>2. Basic dataframe commands<jupyter_code>df.head()
df.info()
df.describe(include='all')<jupyter_output><empty_output><jupyter_text>3. General data<jupyter_code>df.sort_values(by=['school'])
df[df['school'].isnull()]<jupyter_output><empty_output>
StarcoderdataJupyterStructuredCleanDedup