DataScience - 12 & 13

What is the purpose of pd.to_numeric() in the code?

• Convert data to datetime

• Convert data to string

• Convert data to numeric

• Remove NaN values

What is the main goal of data wrangling?

• Store data securely

• Clean and prepare data for analysis

• Visualize data

• Increase data volume

Which process involves changing data from one format to another?

• Data transformation

• Data encryption

• Data scaling

• Data loading

Which library in Python is most commonly used for data wrangling?

• Matplotlib

• pandas

• Scikit-learn

• Seaborn

What does "normalization" generally mean in transformation?

• Making all data binary

• Reducing data storage

• Scaling data to a common range

• Encrypting data

Which of these is NOT typically a data wrangling step?

• Handling missing values

• Feature scaling

• Removing duplicates

• Data visualization

Which function is used in pandas to remove rows with missing values?

• drop_null()

• removena()

• dropna()

• null_drop()

In transformation, what is "one-hot encoding" used for?

• Encoding categorical variables

• Converting dates to numbers

• Scaling numeric columns

• Filling missing values

Which process combines multiple columns into a single column?

• Splitting

• Aggregation

• Pivoting

• Broadcasting

What is feature engineering closely related to?

• Data encryption

• Data compression

• Data storage optimization

• Creating new variables from raw data