image_output_1.png
import matplotlib.pyplot as plt

import pandas as pd

import seaborn as sns

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

data.isnull().sum()

df_v = pd.DataFrame(data['symboling'].value_counts()).reset_index().rename(columns={'index': 'symboling', 'symboling': 'count'})

plt.figure(figsize=(12, 8))
sns.set_palette('bright')
plt.title('Car Price Plot')
sns.histplot(data['price'])
plt.show()