text_plain_output_1.png
import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)

df = pd.read_csv('/kaggle/input/uci-breast-cancer-wisconsin-original/breast-cancer-wisconsin.data.txt')

df.shape

col_names = ['Id', 'Clump_thickness', 'Uniformity_Cell_Size', 'Uniformity_Cell_Shape', 'Marginal_Adhesion', 'Single_Epithelial_Cell_Size', 'Bare_Nuclei', 'Bland_Chromatin', 'Normal_Nucleoli', 'Mitoses', 'Class']
df.columns = col_names
df.columns

df.drop('Id', axis=1, inplace=True)

df.dtypes

df.isnull().sum()

df.isna().sum()