Exploring Dataset

import pandas as pd

loading data from file and set columns

df = pd.read_csv('imports-85.data')

columns = ['symboling', 'normalized-losses', 'make', 'fuel-type', 'aspiration', 'num-of-doors', 'body-style', 'drive-wheels', 'engine-location', 'wheel-base', 'length', 'width', 'height', 'curb-weight', 'engine-type', 'num-of-cylinders', 'engine-size', 'fuel-system', 'bore', 'stroke', 'compression-ratio', 'horsepower', 'peak-rpm', 'city-mpg', 'highway-mpg', 'price'] df.columns = columns

Checking data types

df.dtypes

Statistical summary

df.describe()

Full summary statistics

df.describe(include='all')

Concise summary

df.info()

Viewing top 5 rows

df.head()

Viewing bottom 5 rows

df.tail()

View dataset

Exporting dataset into csv file

df.to_csv('autos.csv')