text_html_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 {len(df['relevent_experience'].dropna().unique())} unique relevant experience data.")
print('_' * 20)
print(f"Unique Experiences:\n{df['relevent_experience'].value_counts()}")
print('*' * 50, end='\n\n')