application_vnd.jupyter.stderr_output_1.png
import pandas as pd

import seaborn as sns

df = pd.read_csv('/kaggle/input/furniture-price-prediction/Furniture Price Prediction.csv')

df = df.drop('url', axis=1)

df.isnull().sum()

df = df.dropna()

plt.figure(figsize=(12, 5))
sns.kdeplot(df['delivery'], color='b', shade=True)
plt.suptitle('Distribution of the delivery')
plt.show()