Python for Data Analysis: Step-By-Step with Projects - Pandas Data Types Overview

Python for Data Analysis: Step-By-Step with Projects - Pandas Data Types Overview

Assessment

Interactive Video

Information Technology (IT), Architecture, Social Studies

University

Practice Problem

Hard

Created by

Wayground Content

FREE Resource

The video tutorial covers the main pandas data types, including integers, floating points, objects, and categories. It explains how to convert between these types using methods like astype, to_numeric, and to_datetime. Practical examples are provided using weather and hero datasets to demonstrate the conversion process and address potential issues with data types.

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10 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Why is it important to use the correct data types in pandas?

To ensure data is stored in alphabetical order

To increase the size of the dataset

To avoid unexpected errors or results during analysis

To make the data look more colorful

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the default integer data type in pandas?

int8

int64

int16

int32

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which pandas data type is used to store a mix of text and numbers?

bool

float

object

category

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which data type should be used for a column with a limited number of fixed values?

object

bool

category

int

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which data type is recommended for storing text data in pandas?

float

bool

int

string

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the purpose of the astype method in pandas?

To merge two DataFrames

To delete columns from a DataFrame

To convert data types of a DataFrame

To sort data in a DataFrame

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which function is used to convert a column to a datetime format in pandas?

to_datetime

to_float

to_string

to_category

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