import pandas as pd df = pd.read_csv('cars.csv') df.head()

df['price_usd'].mean()

df['price_usd'].median()

df['price_usd'].plot.hist(bins=20)

import seaborn as sns sns.displot(df, x = 'price_usd', hue = 'manufacturer_name')

sns.displot(df, x="price_usd", hue="engine_type")

sns.displot(df, x='price_usd', hue = 'engine_type', multiple='stack')

df.groupby('engine_type').count()

Q7_df = df[(df['manufacturer_name']=='Audi') & (df['model_name']=='Q7')] sns.histplot(Q7_df, x='price_usd', hue = 'year_produced')

Civic_df = df[(df['manufacturer_name']=='Honda') & (df['model_name']=='Civic')] sns.histplot(Civic_df, x='price_usd', hue = 'year_produced')