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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What function is used to read a CSV file in Pandas?
💡 Hint: Think about how we load data into a DataFrame.
Question 2
Easy
What does the describe() function do?
💡 Hint: This helps in understanding the collected data.
Practice 4 more questions and get performance evaluation
Interactive Quizzes
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
What is the purpose of the pd.read_csv() function?
- To write data to a CSV file
- To read data from a CSV file
- To create a new DataFrame
💡 Hint: Think about how we get information into Python.
Question 2
True or False: The describe() method provides detailed textual data on categorical columns.
- True
- False
💡 Hint: Consider what types of data `describe()` is useful for.
Solve 2 more questions and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Create a Python function that takes a filename as input, reads the CSV and returns the first 10 rows along with summary statistics.
💡 Hint: Consider how we can structure code to be reusable.
Question 2
Given a CSV file containing temperature records, write code to calculate the average temperature from a specified column.
💡 Hint: Remember how to select columns within a DataFrame and apply aggregation functions.
Challenge and get performance evaluation