Data Handling with Pandas in Python

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What method is used to import the pandas library?

import pandas

from pandas import pd (correct)

import pd as pandas

import numpy as pd

Which method is used to read a CSV file named 'landprice.csv'?

df = read_csv('landprice.csv')

df = pd.read_csv('landprice.csv') (correct)

pd.read('landprice.csv')

df.read_csv('landprice.csv')

What is the mean price of the properties listed in the dataset?

$680,000

$550,000

$725,000

$624,000 (correct)

What does 'df.head(3)' display?

First 3 rows of the dataset Signup and view all the answers

How can you view the bottom two rows of the dataset?

df.tail(2) Signup and view all the answers

What does the code 'df.describe()' do?

Displays statistics of the DataFrame like count, mean, and quartiles Signup and view all the answers

What does the 'reg.coef_' code output represent?

Coefficient of x (slope/gradient) Signup and view all the answers

What does 'reg.predict([])' do?

Generates predictions using the linear regression model Signup and view all the answers

What is the purpose of creating a new CSV file with area sizes and using the linear regression model to predict prices?

To make price predictions for new areas Signup and view all the answers

What does the plot marker 'marker = '+'' signify in 'plt.scatter(df.area, df.price, color = 'green', marker = '+')'?

The marker style used for plotting data points Signup and view all the answers

Data Handling with Pandas in Python

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Questions and Answers

What method is used to import the pandas library?

Which method is used to read a CSV file named 'landprice.csv'?

What is the mean price of the properties listed in the dataset?

What does 'df.head(3)' display?

How can you view the bottom two rows of the dataset?

What does the code 'df.describe()' do?

What does the 'reg.coef_' code output represent?

What does 'reg.predict([])' do?

What is the purpose of creating a new CSV file with area sizes and using the linear regression model to predict prices?

What does the plot marker 'marker = '+'' signify in 'plt.scatter(df.area, df.price, color = 'green', marker = '+')'?

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