3.a) Loading a .csv file
Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
Problem 1PE
Related questions
Question
![Pandas is a software library written for the Python programming language for data manipulation and analysis. In particular, it offers data structures and operations for manipulating numerical tables and time series. In this
section, we will be looking at some of the preprocessing steps involved with analysing data.
We will be using the 'cars.csv' dataset [ this csv file is provided inside your lab zipfile download ]
Dataset resource: https://www.kaggle.com/abineshkumark/carsdata
About the dataset: Cars Data has Information about 3 brands/make of cars. Namely US, Japan, Europe. Target of the data set to find the brand of a car using the parameters such as horsepower, Cubic inches, Make year,
etc.
Look out for the 'YOUR CODE HERE:' comment in the following cells
3.a) Loading a .csv file ( 2 points)
# Loading a .csv file
# Use a pandas fuction to read a csv file (cars.csv)
# Store the csv file as a pandas dataframe called 'df'
# YOUR CODE HERE
Python
# Viewing a sample of the dataframe
df. head (10)
Python](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F39628135-d8f9-472b-a48d-a4792a06b79c%2F1b0e8944-e6cd-4775-97a9-baaa995fbb11%2Fk5ynyto_processed.png&w=3840&q=75)
Transcribed Image Text:Pandas is a software library written for the Python programming language for data manipulation and analysis. In particular, it offers data structures and operations for manipulating numerical tables and time series. In this
section, we will be looking at some of the preprocessing steps involved with analysing data.
We will be using the 'cars.csv' dataset [ this csv file is provided inside your lab zipfile download ]
Dataset resource: https://www.kaggle.com/abineshkumark/carsdata
About the dataset: Cars Data has Information about 3 brands/make of cars. Namely US, Japan, Europe. Target of the data set to find the brand of a car using the parameters such as horsepower, Cubic inches, Make year,
etc.
Look out for the 'YOUR CODE HERE:' comment in the following cells
3.a) Loading a .csv file ( 2 points)
# Loading a .csv file
# Use a pandas fuction to read a csv file (cars.csv)
# Store the csv file as a pandas dataframe called 'df'
# YOUR CODE HERE
Python
# Viewing a sample of the dataframe
df. head (10)
Python
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