<jupyter_start><jupyter_text><jupyter_code>import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
path = "https://raw.githubusercontent.com/chirudukuru/DMDW/main/Toyota.csv"
data = pd.read_csv(path)
data
data.dropna(axis=0,inplace=True)
data.shape
data.head()

plt.scatter(data['Age'],data['Price'],c='green')
plt.xlabel('Age(months)')
plt.ylabel('price')
plt.show()
plt.hist(data['KM'])
plt.show()
plt.hist(data['KM'],color='green',edgecolor='white',bins=5)
plt.title("histogram of kilometer")
plt.xlabel("frequency")
plt.ylabel("Km")
plt.show()
import seaborn as sns
sns.set(style='darkgrid')
sns.regplot(x=data['Age'],y=data['Price'])
sns.set(style='darkgrid')
sns.regplot(x=data['Age'],y=data['Price'],marker='*',fit_reg=False)
sns.distplot(data['Age'])
sns.distplot(data['Age'],kde=False)
sns.distplot(data['Age'],kde=False,bins=5)
sns.countplot(x="FuelType",data=data)
sns.countplot(x="FuelType",data=data,hue='Automatic')
sns.boxplot(y=data['Price'])<jupyter_output><empty_output>
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