Data Preprocessing Quiz

What is the first step in the data preprocessing plan?

• Data Visualisation

• Data Cleaning

• Data Exploration

• Features Engineering

Which method is NOT used for handling missing values?

• Use the attribute mean

• Use random sampling

• Ignore the tuple

• Use a global constant

What is one advantage of data visualisation?

• Increases data redundancy

• Solves data inefficiencies

• Decreases decision-making speed

• Hides errors in data

Which encoding method is used for categorical data?

• Label Encoding

• Mean Encoding

• Ordinal Encoding

• Frequency Encoding

What percentage of data is typically used for training?

• 10%

• 70%

• 90%

• 50%

Which library is mentioned as a foundation for data visualisation?

• Matplotlib

• Pandas

• Scikit-learn

What is the purpose of features engineering?

• To visualise the data

• To clean the data

• To split the data

• To create new features

What is one method to fill in missing values?

• Use the maximum value

• Use the most probable value

• Use the median value

• Use the minimum value

What does one hot encoding do?

• Normalises numerical data

• Combines multiple features into one

• Removes categorical variables

• Converts categorical variables into binary vectors

What is the second step in the data preprocessing plan?

• Data Visualisation

• Splitting Data

• Data Cleaning

• Features Engineering