text_plain_output_1.png
import matplotlib.pyplot as plt

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

import seaborn as sns

train = pd.read_csv('/kaggle/input/mobile-price-classification/train.csv')
test = pd.read_csv('/kaggle/input/mobile-price-classification/test.csv')
train

train.isnull().sum()

train.drop_duplicates()

plt.figure(figsize=(18, 12))
sns.heatmap(train.corr(), annot=True, square=True, cmap='BrBG')
plt.show()