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')