Data Science

Which of the following statements best describes a DataFrame in Python, often used in Data Science?

• A DataFrame is a collection of functions used to manipulate data.

• A DataFrame is a two-dimensional, size-mutable, and labeled data structure similar to a table in a relational database.

• A DataFrame is a Python library used for machine learning.
  

• A DataFrame is a process of cleaning and transforming raw data into a usable format.

What is the primary goal of Data Science?

• To collect as much data as possible

• To develop theories about data structures

• To extract useful insights from data

• To maintain large databases

What is data in the context of Data Science?

• Random information

• Raw facts and figures

• Organized knowledge

• Mathematical formulas

Which of the following is NOT a type of data?

• Structured

• Unstructured

• Semi-structured

• Sequential

What does a database table primarily consist of?

• Data points and axes

• Rows and columns

• Files and folders

• Lists and arrays

In a relational database, what do columns represent?

• Individual records

• Attributes or fields

• Keys for searching

• Functions

Which Python library is most commonly used for data manipulation in Data Science?

• NumPy

• pandas

• matplotlib

• TensorFlow

What is a DataFrame in Python?

• A collection of rows and columns like a table

• A type of list that stores values

• A special type of graph used for data visualization
  

• A built-in function in Python

Which function in Python is used to read a CSV file into a DataFrame?

• read_file()

• open_csv()

• pd.read_csv()

• load_data()

What does the term “data cleaning” refer to in data preparation?

• Arranging data in a specific order

• Removing errors and inconsistencies in data

• Generating new data

• Visualizing data