text_plain_output_1.png
import pandas as pd

import seaborn as sns

df = pd.read_csv('../input/used-bikes-prices-in-india/Used_Bikes.csv')
df

df.shape

categoric_cols = [categoric for categoric in df.columns if df[categoric].dtype in ['object']]
categoric_cols

numeric_cols = [numeric for numeric in df.columns if df[numeric].dtype in ['float64']]
numeric_cols

df.brand.unique()

df.bike_name.unique()

df.city.nunique()

df_missing = df.isna().sum()

sns.heatmap(data=df.corr(), annot=True)