What does this line of code do?

• Selects cols with vals > 1

• Selects cols without NaN

• Selects cols with any vals >1

• Selects cols with NaN

What does this line of code do?

• Selects cols with vals > 1

• Selects cols without NaN

• Selects cols with any vals >1

• Selects cols with NaN

What does this line of code do?

• Drops NaN values

• Replaces values with others

• Fills NaN values with a predetermined value

This is an example of _______.

• Data aggregation

• Data transformation

• Data visualisation

• Imputing missing values

• Checking for duplicates

What does this line of code do?

• 
• 
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What does this line of code do?

• 
• 

_____ is a two-dimensional labelled data structure with columns of potentially different types, while_____ is a one-dimensional labelled array capable of holding any data type

• Series, DataFrame

• DataFrame, Series

____iterates over the DataFrame columns, returning a tuple with the column name and the content as a Series.

____returns a tuple with row index and row data as a Series object.

• df.items(), df.iterrows()

• df.iterrows(), df.items()

Find correct descriptions

• a. Subsets the data

  b. Filters on values

  c. Selects and reset the index

• a. Selects columns with specific data type

  b. Filters on values

  c. Selects specific elements

• a. Finds same elements

  b. Filters on values

  c. Selects specific elements

What does this line of code do?

• Returns unique values

• Checks duplicates

• Drops duplicates

• Checks index duplicates