image_output_1.png
import pandas as pd

import numpy as np
import pandas as pd
pd.set_option('display.max_columns', 50)
import os
from scipy import stats
import matplotlib.pyplot as plt
import seaborn as sns

TRAIN_PATH = '/kaggle/input/hr-analytics-job-change-of-data-scientists/aug_train.csv'
TEST_PATH = '/kaggle/input/hr-analytics-job-change-of-data-scientists/aug_test.csv'

df = pd.read_csv(TRAIN_PATH)

print(f'Dataset has {df.shape[0]} rows and {df.shape[1]} columns.')
print('*' * 50, end='\n\n')
print(f"Dataset has {len(df['enrollee_id'].dropna().unique())} unique user's data.")
print('*' * 50, end='\n\n')