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

mean = df['price'].mean() mean

mediana = df['price'].median()

moda = df['year'].mode() moda

df_car = pd.read_csv('cars.csv') df_car.dtypes

mean_prices_cars = round(df_car['price_usd'].mean(),2) mean_prices_cars

media_prices_cars = df_car['price_usd'].median() media_prices_cars

df_car['price_usd'].plot.hist(bins = 30)

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

df_car.groupby('transmission').count()

cars_audi_less_12k = df_car[(df_car['manufacturer_name'] == 'Audi')&(df_car['price_usd'] < 12000)] sns.histplot(cars_audi_less_12k,x = 'year_produced' ,hue = 'model_name')