Data Analysis with Python Quiz

What is the technique of collecting, transforming, and organizing data to make future predictions and informed data-driven decisions?

• Data Visualization

• Data Mining

• Data Analysis

• Machine Learning

Answer explanation

Data Analysis involves collecting, transforming, and organizing data to make future predictions and informed data-driven decisions, making it the correct choice for the given question.

Which library in Python is used for array processing and scientific computing?

• Matplotlib

• SciPy

• Pandas

• NumPy

Answer explanation

NumPy is the library in Python used for array processing and scientific computing.

What is the fundamental package for scientific computing with Python?

• Pandas

• Matplotlib

• NumPy

• SciPy

Answer explanation

The fundamental package for scientific computing with Python is NumPy, which provides support for large, multi-dimensional arrays and matrices, along with a collection of mathematical functions to operate on these arrays.

What is the term used in NumPy to refer to how arrays with different dimensions are treated during arithmetic operations?

• Data Broadcasting

• Array Broadcasting

• Data Transformation

• Array Manipulation

Answer explanation

Array Broadcasting is the term used in NumPy to refer to how arrays with different dimensions are treated during arithmetic operations.

Which Pandas data structure is a one-dimensional labeled array capable of holding data of any type?

• Matrix

• Array

• Series

• Dataframe

Answer explanation

The correct choice is Series, which is a one-dimensional labeled array in Pandas capable of holding data of any type.

What are the axis labels collectively called in a Pandas Series?

• Indexes

• Keys

• Labels

• Values

Answer explanation

The axis labels in a Pandas Series are collectively called Indexes, making it the correct choice.

What is the primary purpose of Pandas Series?

• Holding floating-point numbers

• Holding only integers

• Holding only strings

• Holding data of any type

Answer explanation

The primary purpose of Pandas Series is to hold data of any type, not limited to just floating-point numbers, integers, or strings.

Which library is built on top of NumPy and provides data structures for manipulating relational or labeled data?

• Matplotlib

• Pandas

• SciPy

• Seaborn

Answer explanation

Pandas is built on top of NumPy and provides data structures for manipulating relational or labeled data, making it the correct choice.

What is Pandas DataFrame?

• A method used to create scatter plots in Python

• A one-dimensional labeled array capable of holding data of any type

• A two-dimensional size-mutable, potentially heterogeneous tabular data structure with labeled axes

• A data structure that consists of three principal components - the data, rows, and columns

Answer explanation

A Pandas DataFrame is a two-dimensional size-mutable, potentially heterogeneous tabular data structure with labeled axes, making it the correct choice.

How can a Pandas Series be created?

• Using the DataFrame() method

• By loading the dataset from SQL only

• By using the Series() function with data from various sources like lists, dictionaries, etc.

• By applying the filter() function on a DataFrame

Answer explanation

A Pandas Series can be created by using the Series() function with data from various sources like lists, dictionaries, etc.