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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What method is used to change a data type in a Pandas DataFrame?
💡 Hint: Think about how we cast one type to another.
Question 2
Easy
If 'Age' is read as a float, what should it be changed to?
💡 Hint: Consider what data type is most suitable for age.
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 astype() method in Pandas?
- To convert strings to floats
- To change the data type of a DataFrame column
- To add new rows to a DataFrame
💡 Hint: Focus on the conversion of types.
Question 2
True or False: It is acceptable to perform mathematical operations on strings.
- True
- False
💡 Hint: Remember the nature of data types in operations.
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
You have a DataFrame with a column 'Temperature' in string format, and you want to analyze average temperatures. Describe how you'd convert it and why.
💡 Hint: Pay attention to how temperature should be represented in data analysis.
Question 2
You’re provided with sales data where 'Revenue' is in string format with currency symbols. Describe the steps needed to analyze it effectively.
💡 Hint: Think about data cleansing before changing types!
Challenge and get performance evaluation