459_594_159_447_252.py

import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
import matplotlib.ticker as mticker
import warnings
warnings.filterwarnings('ignore')

usa_house = pd.read_csv('/content/USA Housing Dataset.csv')
print(usa_house.info())

print(usa_house.isnull().sum())

print(usa_house.describe())

plt.figure(figsize=(10,  6))
sns.histplot(usa_house['price'], bins=30, kde=True, color='blue')
plt.title('Price Distribution')
plt.xlabel('Price')
plt.ylabel('Frequency')
plt.gca().xaxis.set_major_formatter(mticker.FuncFormatter(lambda x, _: f'{int(x):,}'))
plt.show()

plt.figure(figsize=(8, 6))
sns.countplot(x='bedrooms', data=usa_house, palette='pastel')
plt.title('Bedrooms Distribution')
plt.xlabel('Bedrooms')
plt.ylabel('Count')
plt.show()

plt.figure(figsize=(8, 6))
sns.countplot(x='bathrooms', data=usa_house, palette='pastel')
plt.title('Bathrooms Distribution')
plt.xlabel('Bathrooms')
plt.ylabel('Count')
plt.show()

plt.figure(figsize=(10, 6))
sns.histplot(usa_house['sqft_living'], bins=30, kde=True, color='green')
plt.title('Living Area (sqft) Distribution')
plt.xlabel('Living Area (sqft)')
plt.ylabel('Frequency')
plt.show()

plt.figure(figsize=(10, 6))
sns.histplot(usa_house['sqft_lot'], bins=30, kde=True, color='orange')
plt.title('Lot Area (sqft) Distribution')
plt.xlabel('Lot Area (sqft)')
plt.ylabel('Frequency')
plt.show()

plt.figure(figsize=(8, 6))
sns.countplot(x='floors', data=usa_house, palette='pastel')
plt.title('Floor Distribution')
plt.xlabel('Floors')
plt.ylabel('Count')
plt.show()

plt.figure(figsize=(8, 6))
sns.countplot(x='waterfront', data=usa_house, palette='pastel')
plt.title('Waterfront Distribution')
plt.xlabel('Waterfront')
plt.ylabel('Count')
plt.show()

plt.figure(figsize=(8, 6))
sns.countplot(x='condition', data=usa_house, palette='pastel')
plt.title('Condition Distribution')
plt.xlabel('Condition')
plt.ylabel('Count')
plt.show()

plt.figure(figsize=(10, 6))
sns.scatterplot(x='sqft_living', y='price', data=usa_house, color='purple')
plt.title('Living Area vs. Price')
plt.xlabel('Living Area (sqft)')
plt.ylabel('Price')
plt.show()

plt.figure(figsize=(10, 6))
sns.scatterplot(x='sqft_lot', y='price', data=usa_house, color='red')
plt.title('Lot Area vs Price')
plt.xlabel('Lot Area (sqft)')
plt.ylabel('Price')
plt.show()

plt.figure(figsize=(10, 6))
sns.scatterplot(x='yr_built', y='price', data=usa_house, color='blue')
plt.title('Year Built vs Price')
plt.xlabel('Year Built')
plt.ylabel('Price')
plt.show()

plt.figure(figsize=(10, 6))
sns.scatterplot(x='yr_renovated', y='price', data=usa_house, color='green')
plt.title('Year Renovated vs Price')
plt.xlabel('Year Renovated')
plt.ylabel('Price')
plt.show()