text_plain_output_1.png
import pandas as pd

import seaborn as sns

df = pd.read_csv('/kaggle/input/furniture-price-prediction/Furniture Price Prediction.csv')

df = df.drop('url', axis=1)

df.isnull().sum()

df = df.dropna()

corr = df.corr()

furniture_type = df['type'].value_counts()
print(furniture_type)
print(len(furniture_type))