image_output_11.png text_plain_output_5.png image_output_17.png text_html_output_4.png image_output_14.png text_plain_output_4.png text_html_output_2.png image_output_13.png image_output_5.png image_output_18.png image_output_7.png image_output_20.png text_plain_output_3.png image_output_4.png image_output_8.png image_output_16.png text_html_output_1.png image_output_6.png image_output_12.png text_plain_output_2.png text_plain_output_1.png image_output_3.png image_output_2.png image_output_1.png image_output_10.png image_output_15.png text_html_output_3.png image_output_9.png image_output_19.png
import numpy as np

import pandas as pd

data = pd.read_csv('/kaggle/input/refined-data/data_hard_refined.csv')
data_full = pd.read_csv('/kaggle/input/refined-data/data_filtered.csv')
objectColumns = list(data.dtypes[data.dtypes == np.object].index)
numericColumns = list(data.dtypes[data.dtypes != np.object].index)
objectColumns = list(data.dtypes[data.dtypes == np.object].index)
numericColumns = list(data.dtypes[data.dtypes != np.object].index)
print(objectColumns)
print(numericColumns)