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

df = pd.read_csv('/kaggle/input/car-price-prediction/CarPrice_Assignment.csv')

df.describe().T

outliers = ['price']
plt.rcParams['figure.figsize'] = [8, 8]
sns.boxplot(data=df[outliers], orient='v', palette='Set1', whis=1.5, saturation=1, width=0.7)
plt.title('Outliers Variable Distribution', fontsize=14, fontweight='bold')
plt.ylabel('Price Range', fontweight='bold')
plt.xlabel('Continuous Variable', fontweight='bold')
df.shape