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Menu iconMenu iconFundamentos del Análisis de Datos con Python
Fundamentos del Análisis de Datos con Python

Quiz for Part III: Core Libraries for Data Analysis

Chapter 6: Data Manipulation with Pandas

  1. Which Pandas data structure is generally used for tabular data? 
    • a) Array
    • b) DataFrame
    • c) Dictionary
    • d) Series
  2. How do you drop a column named 'Age' from a DataFrame df?
    • a) df.remove('Age')
    • b) df.drop(columns=['Age'])
    • c) df.delete('Age')
    • d) df.pop('Age')

Chapter 6: Data Manipulation with Pandas

  1. Which Pandas data structure is generally used for tabular data? 
    • a) Array
    • b) DataFrame
    • c) Dictionary
    • d) Series
  2. How do you drop a column named 'Age' from a DataFrame df?
    • a) df.remove('Age')
    • b) df.drop(columns=['Age'])
    • c) df.delete('Age')
    • d) df.pop('Age')

Chapter 6: Data Manipulation with Pandas

  1. Which Pandas data structure is generally used for tabular data? 
    • a) Array
    • b) DataFrame
    • c) Dictionary
    • d) Series
  2. How do you drop a column named 'Age' from a DataFrame df?
    • a) df.remove('Age')
    • b) df.drop(columns=['Age'])
    • c) df.delete('Age')
    • d) df.pop('Age')

Chapter 6: Data Manipulation with Pandas

  1. Which Pandas data structure is generally used for tabular data? 
    • a) Array
    • b) DataFrame
    • c) Dictionary
    • d) Series
  2. How do you drop a column named 'Age' from a DataFrame df?
    • a) df.remove('Age')
    • b) df.drop(columns=['Age'])
    • c) df.delete('Age')
    • d) df.pop('Age')