import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
#Load the dataset
df = pd.read_csv('/content/Motor_Claims.csv')
#Display the dataset
df.head()
#Display info
df.info()
#Display Summary
df.describe()
#Display Shape
df.shape
#Mean
Mean=df.mean()
print(Mean)
#Median
Median=df.median()
print(Median)
#Mode
df.mode()
#Standard Deviation
df.std()
#Minimum and Maximum Values
df.min()
df.max()
#Variance
df.var()
#Correlation
df.corr()
#Percentiles
df.quantile([0.25,0.5,0.75])
#Columns
df.columns.tolist()
#Skewness
df.skew()
#Kurtosis
df.kurtosis()
